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2000,1,1,1,Courtney Brown,BROWNS,DE,Penn State
2000,1,2,2,LaVar Arrington,TEAM,LB,Penn State
2000,1,3,3,Chris Samuels,TEAM, T,Alabama
2000,1,4,4,Peter Warrick,BENGALS,WR,Florida State
2000,1,5,5,Jamal Lewis,RAVENS,RB,Tennessee
2000,1,6,6,Corey Simon,EAGLES,DT,Florida State
2000,1,7,7,Thomas Jones,CARDINALS,RB,Virginia
2000,1,8,8,Plaxico Burress,STEELERS,WR,Michigan State
2000,1,9,9,Brian Urlacher,BEARS,LB,New Mexico
2000,1,10,10,Travis Taylor,RAVENS,WR,Florida
2000,1,11,11,Ron Dayne,GIANTS,RB,Wisconsin
2000,1,12,12,Shaun Ellis,JETS,DE,Tennessee
2000,1,13,13,John Abraham,JETS,LB,South Carolina
2000,1,14,14,Bubba Franks,PACKERS,TE,Miami (FL)
2000,1,15,15,Deltha O\'Neal,BRONCOS,DB,California
2000,1,16,16,Julian Peterson,49ERS,LB,Michigan State
2000,1,17,17,Sebastian Janikowski,RAIDERS, K,Florida State
2000,1,18,18,Chad Pennington,JETS,QB,Marshall
2000,1,19,19,Shaun Alexander,SEAHAWKS,RB,Alabama
2000,1,20,20,Stockar McDougle,LIONS, T,Oklahoma
2000,1,21,21,Sylvester Morris,CHIEFS,WR,Jackson State
2000,1,22,22,Chris McIntosh,SEAHAWKS, T,Wisconsin
2000,1,23,23,Rashard Anderson,PANTHERS,DB,Jackson State
2000,1,24,24,Ahmed Plummer,49ERS,DB,Ohio State
2000,1,25,25,Chris Hovan,VIKINGS,DT,Boston College
2000,1,26,26,Erik Flowers,BILLS,DE,Arizona State
2000,1,27,27,Anthony Becht,JETS,TE,West Virginia
2000,1,28,28,Rob Morris,COLTS,LB,Brigham Young
2000,1,29,29,R. Jay Soward,JAGUARS,WR,USC
2000,1,30,30,Keith Bulluck,TITANS,LB,Syracuse
2000,1,31,31,Trung Canidate,RAMS,RB,Arizona
2000,2,1,32,Dennis Northcutt,BROWNS,WR,Arizona
2000,2,2,33,Darren Howard,SAINTS,DE,Kansas State
2000,2,3,34,Mark Roman,BENGALS,DB,Louisiana State
2000,2,4,35,John Engelberger,49ERS,DE,Virginia Tech
2000,2,5,36,Todd Pinkston,EAGLES,WR,Southern Mississippi
2000,2,6,37,Travis Claridge,FALCONS, G,USC
2000,2,7,38,Marvel Smith,STEELERS, T,Arizona State
2000,2,8,39,Mike Brown,BEARS,DB,Nebraska
2000,2,9,40,Ian Gold,BRONCOS,DB,Michigan
2000,2,10,41,Raynoch Thompson,CARDINALS,LB,Tennessee
2000,2,11,42,Cornelius Griffin,GIANTS,DT,Alabama
2000,2,12,43,Rogers Beckett,CHARGERS,DB,Marshall
2000,2,13,44,Chad Clifton,PACKERS, T,Tennessee
2000,2,14,45,Kenoy Kennedy,BRONCOS,DB,Arkansas
2000,2,15,46,Adrian Klemm,PATRIOTS, T,Hawaii
2000,2,16,47,Jerry Porter,RAIDERS,WR,West Virginia
2000,2,17,48,Jason Webster,49ERS,DB,Texas A&M
2000,2,18,49,Dwayne Goodrich,COWBOYS,DB,Tennessee
2000,2,19,50,Barrett Green,LIONS,LB,West Virginia
2000,2,20,51,Cosey Coleman,BUCCANEERS, G,Tennessee
2000,2,21,52,Ike Charlton,SEAHAWKS,DB,Virginia Tech
2000,2,22,53,Todd Wade,DOLPHINS, T,Mississippi
2000,2,23,54,William Bartee,CHIEFS,DB,Oklahoma
2000,2,24,55,Fred Robbins,VIKINGS,DT,Wake Forest
2000,2,25,56,Michael Boireau,VIKINGS,DE,Miami (FL)
2000,2,26,57,Deon Grant,PANTHERS,DB,Tennessee
2000,2,27,58,Travares Tillman,BILLS,DB,Georgia Tech
2000,2,28,59,Marcus Washington,COLTS,DE,Auburn
2000,2,29,60,Brad Meester,JAGUARS, C,Northern Iowa
2000,2,30,61,Bobbie Williams,EAGLES, T,Arkansas
2000,2,31,62,Jacoby Shepherd,RAMS,DB,Oklahoma State
2000,3,1,63,Travis Prentice,BROWNS,RB,Miami (OH)
2000,3,2,64,Lloyd Harrison,TEAM,DB,North Carolina State
2000,3,3,65,Giovanni Carmazzi,49ERS,QB,Hofstra
2000,3,4,66,Ron Dugans,BENGALS,WR,Florida State
2000,3,5,67,Mark Simoneau,FALCONS,LB,Kansas State
2000,3,6,68,Erron Kinney,TITANS,TE,Florida
2000,3,7,69,Dez White,BEARS,WR,Georgia Tech
2000,3,8,70,Chris Cole,BRONCOS,WR,Texas A&M
2000,3,9,71,Darwin Walker,CARDINALS,DT,Tennessee
2000,3,10,72,Kendrick Clancy,STEELERS,DT,Mississippi
2000,3,11,73,Ron Dixon,GIANTS,WR,Lambuth (TN)
2000,3,12,74,Steve Warren,PACKERS,DT,Nebraska
2000,3,13,75,Chris Redman,RAVENS,QB,Louisville
2000,3,14,76,J.R. Redmond,PATRIOTS,RB,Arizona State
2000,3,15,77,Hank Poteat,STEELERS,DB,Pittsburgh
2000,3,16,78,Laveranues Coles,JETS,WR,Florida State
2000,3,17,79,JaJuan Dawson,BROWNS,WR,Tulane
2000,3,18,80,Darrell Jackson,SEAHAWKS,WR,Florida
2000,3,19,81,Reuben Droughns,LIONS,RB,Oregon
2000,3,20,82,Leander Jordan,PANTHERS, G,Indiana (PA)
2000,3,21,83,Damion McIntosh,CHARGERS, T,Kansas State
2000,3,22,84,Ben Kelly,DOLPHINS,DB,Colorado
2000,3,23,85,Gregory Wesley,CHIEFS,DB,Arkansas-Pine Bluff
2000,3,24,86,Jeff Ulbrich,49ERS,LB,Hawaii
2000,3,25,87,Dustin Lyman,BEARS,LB,Wake Forest
2000,3,26,88,Doug Chapman,VIKINGS,RB,Marshall
2000,3,27,89,Corey Moore,BILLS,LB,Virginia Tech
2000,3,28,90,Nate Webster,BUCCANEERS,LB,Miami (FL)
2000,3,29,91,David Macklin,COLTS,DB,Penn State
2000,3,30,92,T.J. Slaughter,JAGUARS,LB,Southern Mississippi
2000,3,31,93,Byron Frisch,TITANS,DE,Brigham Young
2000,3,32,94,John St. Clair,RAMS, C,Virginia
2000,4,1,95,Lewis Sanders,BROWNS,DB,Maryland
2000,4,2,96,Terrelle Smith,SAINTS,RB,Arizona State
2000,4,3,97,Curtis Keaton,BENGALS,RB,James Madison
2000,4,4,98,Na\'il Diggs,PACKERS,LB,Ohio State
2000,4,5,99,Gari Scott,EAGLES,WR,Michigan State
2000,4,6,100,Michael Thompson,FALCONS, G,Tennessee State
2000,4,7,101,Jerry Johnson,BRONCOS,DT,Florida State
2000,4,8,102,David Barrett,CARDINALS,DB,Arkansas
2000,4,9,103,Danny Farmer,STEELERS,WR,UCLA
2000,4,10,104,Kaulana Noa,RAMS, T,Hawaii
2000,4,11,105,Brandon Short,GIANTS,LB,Penn State
2000,4,12,106,Antonio Wilson,VIKINGS,LB,Texas A&M-Commerce
2000,4,13,107,Junior Ioane,RAIDERS,DT,Arizona State
2000,4,14,108,John Keith,49ERS,DB,Furman
2000,4,15,109,Kareem Larrimore,COWBOYS,DB,West Texas State
2000,4,16,110,Aaron Shea,BROWNS,TE,Michigan
2000,4,17,111,Trevor Gaylor,CHARGERS,WR,Miami (OH)
2000,4,18,112,Cooper Carlisle,BRONCOS, T,Florida
2000,4,19,113,Leonardo Carson,CHARGERS,DE,Auburn
2000,4,20,114,Anthony Lucas,PACKERS,WR,Arkansas
2000,4,21,115,Frank Moreau,CHIEFS,RB,Louisville
2000,4,22,116,Marcus Bell,SEAHAWKS,LB,Arizona
2000,4,23,117,Deon Dyer,DOLPHINS,RB,North Carolina
2000,4,24,118,Tyrone Carter,VIKINGS,DB,Minnesota
2000,4,25,119,Isiah Kacyvenski,SEAHAWKS,LB,Harvard
2000,4,26,120,Alvin McKinley,PANTHERS,DT,Mississippi State
2000,4,27,121,Avion Black,BILLS,WR,Tennessee State
2000,4,28,122,Josh Williams,COLTS,DT,Michigan
2000,4,29,123,Joey Chustz,JAGUARS, T,Louisiana Tech
2000,4,30,124,Bobby Myers,TITANS,DB,Wisconsin
2000,4,31,125,Reggie Austin,BEARS,DB,Wake Forest
2000,4,32,126,Gary Berry,PACKERS,DB,Ohio State
2000,4,33,127,Greg Robinson-Randall,PATRIOTS, T,Michigan State
2000,4,34,128,Peter Sirmon,TITANS,LB,Oregon
2000,4,35,129,Michael Moore,TEAM, G,Troy
2000,5,1,130,Anthony Malbrough,BROWNS,DB,Texas Tech
2000,5,2,131,Tutan Reyes,SAINTS, T,Mississippi
2000,5,3,132,Paul Smith,49ERS,RB,Texas-El Paso
2000,5,4,133,Robert Bean,BENGALS,DB,Mississippi State
2000,5,5,134,Anthony Midget,FALCONS,DB,Virginia Tech
2000,5,6,135,Aric Morris,TITANS,DB,Michigan State
2000,5,7,136,Falemao Tosi,CARDINALS,DT,Idaho
2000,5,8,137,Clark Haggans,STEELERS,LB,Colorado State
2000,5,9,138,Matt Johnson,COLTS, G,Brigham Young
2000,5,10,139,Brian Young,RAMS,DE,Texas-El Paso
2000,5,11,140,Ralph Brown,GIANTS,DB,Nebraska
2000,5,12,141,Dave Stachelski,PATRIOTS,TE,Boise State
2000,5,13,142,Shane Lechler,RAIDERS, P,Texas A&M
2000,5,14,143,Windrell Hayes,JETS,WR,USC
2000,5,15,144,Michael Wiley,COWBOYS,RB,Ohio State
2000,5,16,145,Todd Franz,LIONS,DB,Tulsa
2000,5,17,146,Lamar Chapman,BROWNS,DB,Kansas State
2000,5,18,147,Gillis Wilson,PANTHERS,DE,Southern
2000,5,19,148,Richard Mercier,RAVENS, G,Miami (FL)
2000,5,20,149,Kabeer Gbaja-Biamila,PACKERS,LB,San Diego State
2000,5,21,150,John Milem,49ERS,DE,Lenoir-Rhyne
2000,5,22,151,Joey Jamison,PACKERS,WR,Texas Southern
2000,5,23,152,Arturo Freeman,DOLPHINS,DB,South Carolina
2000,5,24,153,Dante Hall,CHIEFS,RB,Texas A&M
2000,5,25,154,Muneer Moore,BRONCOS,WR,Richmond
2000,5,26,155,Quincy Sanders,TEAM,DB,UNLV
2000,5,27,156,Sammy Morris,BILLS,RB,Texas Tech
2000,5,28,157,James Whalen,BUCCANEERS,TE,Kentucky
2000,5,29,158,Austin Wheatley,SAINTS,TE,Iowa
2000,5,30,159,Kiwaukee Thomas,JAGUARS,DB,Georgia Southern
2000,5,31,160,Frank Chamberlin,TITANS,LB,Boston College
2000,5,32,161,Jeff Marriott,PATRIOTS,DT,Missouri
2000,5,33,162,Patrick Dennis,CHIEFS,DB,Louisiana-Monroe
2000,5,34,163,Tee Martin,STEELERS,QB,Tennessee
2000,5,35,164,Jay Tant,CARDINALS,TE,Northwestern
2000,5,36,165,Troy Walters,VIKINGS,WR,Stanford
2000,5,37,166,Chad Morton,SAINTS,RB,USC
2000,6,1,167,Ernest Grant,DOLPHINS,DT,Arkansas-Pine Bluff
2000,6,2,168,Marc Bulger,SAINTS,QB,West Virginia
2000,6,3,169,Neil Rackers,BENGALS, K,Illinois
2000,6,4,170,Frank Murphy,BEARS,RB,Kansas State
2000,6,5,171,Thomas Hamner,EAGLES,RB,Minnesota
2000,6,6,172,Mareno Philyaw,FALCONS,WR,Troy
2000,6,7,173,Chris Combs,STEELERS,DE,Duke
2000,6,8,174,Paul Edinger,BEARS, K,Michigan State
2000,6,9,175,James Williams,SEAHAWKS,WR,Marshall
2000,6,10,176,Jabari Issa,CARDINALS,DE,Washington
2000,6,11,177,Dhani Jones,GIANTS,LB,Michigan
2000,6,12,178,John Frank,EAGLES,DE,Utah
2000,6,13,179,Tony Scott,JETS,DB,North Carolina State
2000,6,14,180,Mario Edwards,COWBOYS,DB,Florida State
2000,6,15,181,Quinton Reese,LIONS,DE,Auburn
2000,6,16,182,Jeno James,PANTHERS, G,Auburn
2000,6,17,183,Spergon Wynn,BROWNS,QB,Southwest Texas State
2000,6,18,184,Shannon Taylor,CHARGERS,LB,Virginia
2000,6,19,185,Tim Watson,SEAHAWKS,DT,Rowan
2000,6,20,186,Adalius Thomas,RAVENS,DE,Southern Mississippi
2000,6,21,187,Antwan Harris,PATRIOTS,DB,Virginia
2000,6,22,188,Darnell Alford,CHIEFS, G,Boston College
2000,6,23,189,Mike Anderson,BRONCOS,RB,Utah
2000,6,24,190,John Hilliard,SEAHAWKS,DT,Mississippi State
2000,6,25,191,Cedric Woodard,RAVENS,DT,Texas
2000,6,26,192,John Romero,EAGLES, C,California
2000,6,27,193,David Gibson,BUCCANEERS,DB,USC
2000,6,28,194,Leif Larsen,BILLS,DE,Texas-El Paso
2000,6,29,195,Michael Hawthorne,SAINTS,DB,Purdue
2000,6,30,196,Emanuel Smith,JAGUARS,WR,Arkansas
2000,6,31,197,Robaire Smith,TITANS,DE,Michigan State
2000,6,32,198,Matt Bowen,RAMS,DB,Iowa
2000,6,33,199,Tom Brady,PATRIOTS,QB,Michigan
2000,6,34,200,Sherrod Gideon,SAINTS,WR,Southern Mississippi
2000,6,35,201,David Nugent,PATRIOTS,DT,Purdue
2000,6,36,202,Todd Husak,TEAM,QB,Stanford
2000,6,37,203,Damen Wheeler,CHARGERS,DB,Colorado
2000,6,38,204,Jason Gavadza,STEELERS,TE,Kent State
2000,6,39,205,JaJuan Seider,CHARGERS,QB,Florida A&M
2000,6,40,206,Brad Bedell,BROWNS, G,Colorado
2000,7,1,207,Manuia Savea,BROWNS, G,Arizona
2000,7,2,208,Desmond Kitchings,CHIEFS,WR,Furman
2000,7,3,209,Eric Chandler,BROWNS,DE,Jackson State
2000,7,4,210,Brad St. Louis,BENGALS,TE,SW Missouri State
2000,7,5,211,Darrick Vaughn,FALCONS,DB,Southwest Texas State
2000,7,6,212,Tim Rattay,49ERS,QB,Louisiana Tech
2000,7,7,213,Mike Green,TITANS,RB,Houston
2000,7,8,214,Jarious Jackson,BRONCOS,QB,Notre Dame
2000,7,9,215,Sekou Sanyika,CARDINALS,LB,California
2000,7,10,216,Delbert Cowsette,TEAM,DT,Maryland
2000,7,11,217,Jeremiah Parker,GIANTS,DE,California
2000,7,12,218,Richard Seals,JETS,DT,Utah
2000,7,13,219,Orantes Grant,COWBOYS,LB,Georgia
2000,7,14,220,Andrew Kline,RAMS, G,San Diego State
2000,7,15,221,Lester Towns,PANTHERS,LB,Washington
2000,7,16,222,Jason Thomas,CHARGERS, G,Hampton
2000,7,17,223,James Cotton,BEARS,LB,Ohio State
2000,7,18,224,Mark Tauscher,PACKERS, G,Wisconsin
2000,7,19,225,Rashidi Barnes,BROWNS,DB,Colorado
2000,7,20,226,Casey Tisdale,PATRIOTS,LB,New Mexico
2000,7,21,227,Mondriel Fulcher,RAIDERS,RB,Miami (FL)
2000,7,22,228,Kevin Houser,SAINTS,TE,Ohio State
2000,7,23,229,Ron Moore,PACKERS,DT,Northwestern Oklahoma
2000,7,24,230,Brian Jennings,49ERS,TE,Arizona State
2000,7,25,231,Clifton Black,RAIDERS,DB,Southwest Texas State
2000,7,26,232,Jeff Harris,DOLPHINS,DB,Georgia
2000,7,27,233,Drew Haddad,BILLS,WR,Buffalo
2000,7,28,234,Joe Hamilton,BUCCANEERS,QB,Georgia Tech
2000,7,29,235,Rob Renes,COLTS,DT,Michigan
2000,7,30,236,Erik Olson,JAGUARS,DB,Colorado State
2000,7,31,237,Wes Shivers,TITANS, T,Mississippi State
2000,7,32,238,Rodregis Brooks,COLTS,DB,Alabama-Birmingham
2000,7,33,239,Patrick Pass,PATRIOTS,RB,Georgia
2000,7,34,240,Mike Malano,VIKINGS, C,San Diego State
2000,7,35,241,Rob Meier,JAGUARS,DT,Washington State
2000,7,36,242,Charles Lee,PACKERS,WR,Central Florida
2000,7,37,243,Shyrone Stith,JAGUARS,RB,Virginia Tech
2000,7,38,244,Giles Cole,VIKINGS,TE,Texas A&M-Kingsville
2000,7,39,245,Danny Clark,JAGUARS,LB,Illinois
2000,7,40,246,Leroy Fields,BRONCOS,WR,Jackson State
2000,7,41,247,Mark Baniewicz,JAGUARS, T,Syracuse
2000,7,42,248,Lewis Kelly,VIKINGS, G,South Carolina State
2000,7,43,249,Eugene McCaslin,PACKERS,LB,Florida
2000,7,44,250,Ethan Howell,TEAM,WR,Oklahoma State
2000,7,45,251,DaShon Polk,BILLS,LB,Arizona
2000,7,46,252,Rondell Mealey,PACKERS,RB,Louisiana State
2000,7,47,253,Alfonso Boone,LIONS,DT,Mt. San Antonio JC
2000,7,48,254,Michael Green,BEARS,DB,Northwestern State (LA)
2001,1,1,1,Michael Vick,FALCONS,QB,Virginia Tech
2001,1,2,2,Leonard Davis,CARDINALS, T,Texas
2001,1,3,3,Gerard Warren,BROWNS,DT,Florida
2001,1,4,4,Justin Smith,BENGALS,DE,Missouri
2001,1,5,5,LaDainian Tomlinson,CHARGERS,RB,Texas Christian
2001,1,6,6,Richard Seymour,PATRIOTS,DT,Georgia
2001,1,7,7,Andre Carter,49ERS,DE,California
2001,1,8,8,David Terrell,BEARS,WR,Michigan
2001,1,9,9,Koren Robinson,SEAHAWKS,WR,North Carolina State
2001,1,10,10,Jamal Reynolds,PACKERS,DE,Florida State
2001,1,11,11,Dan Morgan,PANTHERS,LB,Miami (FL)
2001,1,12,12,Damione Lewis,RAMS,DT,Miami (FL)
2001,1,13,13,Marcus Stroud,JAGUARS,DT,Georgia
2001,1,14,14,Kenyatta Walker,BUCCANEERS, T,Florida
2001,1,15,15,Rod Gardner,TEAM,WR,Clemson
2001,1,16,16,Santana Moss,JETS,WR,Miami (FL)
2001,1,17,17,Steve Hutchinson,SEAHAWKS, G,Michigan
2001,1,18,18,Jeff Backus,LIONS, T,Michigan
2001,1,19,19,Casey Hampton,STEELERS,DT,Texas
2001,1,20,20,Adam Archuleta,RAMS,DB,Arizona State
2001,1,21,21,Nate Clements,BILLS,DB,Ohio State
2001,1,22,22,Will Allen,GIANTS,DB,Syracuse
2001,1,23,23,Deuce McAllister,SAINTS,RB,Mississippi
2001,1,24,24,Willie Middlebrooks,BRONCOS,DB,Minnesota
2001,1,25,25,Freddie Mitchell,EAGLES,WR,UCLA
2001,1,26,26,Jamar Fletcher,DOLPHINS,DB,Wisconsin
2001,1,27,27,Michael Bennett,VIKINGS,RB,Wisconsin
2001,1,28,28,Derrick Gibson,RAIDERS,DB,Florida State
2001,1,29,29,Ryan Pickett,RAMS,DE,Ohio State
2001,1,30,30,Reggie Wayne,COLTS,WR,Miami (FL)
2001,1,31,31,Todd Heap,RAVENS,TE,Arizona State
2001,2,1,32,Drew Brees,CHARGERS,QB,Purdue
2001,2,2,33,Quincy Morgan,BROWNS,WR,Kansas State
2001,2,3,34,Kyle Vanden Bosch,CARDINALS,DE,Nebraska
2001,2,4,35,Alge Crumpler,FALCONS,TE,North Carolina
2001,2,5,36,Chad Johnson,BENGALS,WR,Oregon State
2001,2,6,37,Idrees Bashir,COLTS,DB,Memphis
2001,2,7,38,Anthony Thomas,BEARS,RB,Michigan
2001,2,8,39,Kendrell Bell,STEELERS,LB,Georgia
2001,2,9,40,Ken Lucas,SEAHAWKS,DB,Mississippi
2001,2,10,41,Robert Ferguson,PACKERS,WR,Texas A&M
2001,2,11,42,Tommy Polley,RAMS,LB,Florida State
2001,2,12,43,Maurice Williams,JAGUARS, T,Michigan
2001,2,13,44,Kris Jenkins,PANTHERS,DT,Maryland
2001,2,14,45,Fred Smoot,TEAM,DB,Mississippi State
2001,2,15,46,Aaron Schobel,BILLS,DE,Texas Christian
2001,2,16,47,Jamie Winborn,49ERS,LB,Vanderbilt
2001,2,17,48,Matt Light,PATRIOTS, T,Purdue
2001,2,18,49,LaMont Jordan,JETS,RB,Maryland
2001,2,19,50,Dominic Raiola,LIONS, C,Nebraska
2001,2,20,51,Paul Toviessi,BRONCOS,DE,Marshall
2001,2,21,52,Chris Chambers,DOLPHINS,WR,Wisconsin
2001,2,22,53,Quincy Carter,COWBOYS,QB,Georgia
2001,2,23,54,Michael Stone,CARDINALS,DB,Memphis
2001,2,24,55,Quinton Caver,EAGLES,LB,Arkansas
2001,2,25,56,Tony Dixon,COWBOYS,DB,Alabama
2001,2,26,57,Willie Howard,VIKINGS,DT,Stanford
2001,2,27,58,Travis Henry,BILLS,RB,Tennessee
2001,2,28,59,Marques Tuiasosopo,RAIDERS,QB,Washington
2001,2,29,60,Andre Dyson,TITANS,DB,Utah
2001,2,30,61,Shaun Rogers,LIONS,DT,Texas
2001,2,31,62,Gary Baxter,RAVENS,DB,Baylor
2001,3,1,63,Derrick Burgess,EAGLES,DE,Mississippi
2001,3,2,64,Adrian Wilson,CARDINALS,DB,North Carolina State
2001,3,3,65,James Jackson,BROWNS,RB,Miami (FL)
2001,3,4,66,Sean Brewer,BENGALS,TE,San Jose State
2001,3,5,67,Tay Cody,CHARGERS,DB,Florida State
2001,3,6,68,Mike Gandy,BEARS, G,Notre Dame
2001,3,7,69,Eric Kelly,VIKINGS,DB,Kentucky
2001,3,8,70,Sedrick Hodge,SAINTS,LB,North Carolina
2001,3,9,71,Bhawoh Jue,PACKERS,DB,Penn State
2001,3,10,72,Torrance Marshall,PACKERS,LB,Oklahoma
2001,3,11,73,Eric Westmoreland,JAGUARS,LB,Tennessee
2001,3,12,74,Steve Smith,PANTHERS,WR,Utah
2001,3,13,75,Eric Downing,CHIEFS,DT,Syracuse
2001,3,14,76,Ron Edwards,BILLS,DT,Texas A&M
2001,3,15,77,Marvin Minnis,CHIEFS,WR,Florida State
2001,3,16,78,William Peterson,GIANTS,DB,Western Illinois
2001,3,17,79,Kareem McKenzie,JETS, T,Penn State
2001,3,18,80,Kevan Barlow,49ERS,RB,Pittsburgh
2001,3,19,81,Kenny Smith,SAINTS,DT,Alabama
2001,3,20,82,Heath Evans,SEAHAWKS,RB,Auburn
2001,3,21,83,Brian Allen,RAMS,LB,Florida State
2001,3,22,84,Dwight Smith,BUCCANEERS,DB,Akron
2001,3,23,85,Travis Minor,DOLPHINS,RB,Florida State
2001,3,24,86,Brock Williams,PATRIOTS,DB,Notre Dame
2001,3,25,87,Reggie Hayward,BRONCOS,DE,Iowa State
2001,3,26,88,Morlon Greenwood,DOLPHINS,LB,Syracuse
2001,3,27,89,DeLawrence Grant,RAIDERS,DE,Oregon State
2001,3,28,90,Shad Meier,TITANS,TE,Kansas State
2001,3,29,91,Cory Bird,COLTS,DB,Virginia Tech
2001,3,30,92,Casey Rabach,RAVENS, C,Wisconsin
2001,3,31,93,Willie Blade,COWBOYS,DT,Mississippi State
2001,3,32,94,James Boyd,JAGUARS,DB,Penn State
2001,3,33,95,Jonas Jennings,BILLS, T,Georgia
2001,4,1,96,Kenyatta Jones,PATRIOTS, T,South Florida
2001,4,2,97,Anthony Henry,BROWNS,DB,South Florida
2001,4,3,98,Bill Gramatica,CARDINALS, K,South Florida
2001,4,4,99,Roberto Garza,FALCONS, C,Texas A&M-Kingsville
2001,4,5,100,Rudi Johnson,BENGALS,RB,Auburn
2001,4,6,101,Jamie Henderson,JETS,DB,Georgia
2001,4,7,102,Matt Stewart,FALCONS,LB,Vanderbilt
2001,4,8,103,Karon Riley,BEARS,DE,Minnesota
2001,4,9,104,Orlando Huff,SEAHAWKS,LB,Fresno State
2001,4,10,105,Bill Ferrerio,PACKERS, G,Wisconsin
2001,4,11,106,Chris Weinke,PANTHERS,QB,Florida State
2001,4,12,107,Monty Beisel,CHIEFS,DE,Kansas State
2001,4,13,108,George Layne,CHIEFS,RB,Texas Christian
2001,4,14,109,Sage Rosenfels,TEAM,QB,Iowa State
2001,4,15,110,Brandon Spoon,BILLS,LB,North Carolina
2001,4,16,111,Mathias Nkwenti,STEELERS, T,Temple
2001,4,17,112,Carlos Polk,CHARGERS,LB,Nebraska
2001,4,18,113,Ben Hamilton,BRONCOS, C,Minnesota
2001,4,19,114,Cedric Scott,GIANTS,DE,Southern Mississippi
2001,4,20,115,Moran Norris,SAINTS,RB,Kansas
2001,4,21,116,Milton Wynn,RAMS,WR,Washington State
2001,4,22,117,John Howell,BUCCANEERS,DB,Colorado State
2001,4,23,118,Ryan Diem,COLTS, T,Northern Illinois
2001,4,24,119,Jabari Holloway,PATRIOTS,TE,Notre Dame
2001,4,25,120,Nick Harris,BRONCOS, P,California
2001,4,26,121,Correll Buckhalter,EAGLES,RB,Nebraska
2001,4,27,122,Markus Steele,COWBOYS,LB,USC
2001,4,28,123,Marcus Bell,CARDINALS,DT,Memphis
2001,4,29,124,Justin McCareins,TITANS,WR,Northern Illinois
2001,4,30,125,Jesse Palmer,GIANTS,QB,Florida
2001,4,31,126,Edgerton Hartwell,RAVENS,LB,Western Illinois
2001,4,32,127,Curtis Fuller,SEAHAWKS,DB,Texas Christian
2001,4,33,128,Floyd Womack,SEAHAWKS, G,Mississippi State
2001,4,34,129,Brandon Manumaleuna,RAMS,TE,Arizona
2001,4,35,130,Shawn Worthen,VIKINGS,DT,Texas Christian
2001,4,36,131,Cedric James,VIKINGS,WR,Texas Christian
2001,5,1,132,Elliot Silvers,CHARGERS, T,Washington
2001,5,2,133,Mario Fatafehi,CARDINALS,DT,Kansas State
2001,5,3,134,Jeremiah Pharms,BROWNS,LB,Washington
2001,5,4,135,Victor Leyva,BENGALS, G,Arizona State
2001,5,5,136,Vinny Sutherland,FALCONS,WR,Purdue
2001,5,6,137,Matt Lehr,COWBOYS, G,Virginia Tech
2001,5,7,138,Bernard Robertson,BEARS, T,Tulane
2001,5,8,139,Zeke Moreno,CHARGERS,LB,USC
2001,5,9,140,Alex Bannister,SEAHAWKS,WR,Eastern Kentucky
2001,5,10,141,Billy Baber,CHIEFS,TE,Virginia
2001,5,11,142,David Leaverton,JAGUARS, P,Tennessee
2001,5,12,143,Jarrod Cooper,PANTHERS,DB,Kansas State
2001,5,13,144,Marques Sullivan,BILLS, T,Illinois
2001,5,14,145,Jerametrius Butler,RAMS,DB,Kansas State
2001,5,15,146,Chukky Okabi,STEELERS, C,Purdue
2001,5,16,147,Tony Stewart,EAGLES,TE,Penn State
2001,5,17,148,Scotty Anderson,LIONS,WR,Grambling State
2001,5,18,149,Mike McMahon,LIONS,QB,Rutgers
2001,5,19,150,Derrick Blaylock,CHIEFS,RB,Stephen F. Austin
2001,5,20,151,Russ Hochstein,BUCCANEERS, G,Nebraska
2001,5,21,152,Raymond Walls,COLTS,DB,Southern Mississippi
2001,5,22,153,Onomoe Ojo,SAINTS,WR,California-Davis
2001,5,23,154,Darnerian McCants,TEAM,WR,Delaware State
2001,5,24,155,A.J. Feeley,EAGLES,QB,Oregon
2001,5,25,156,Shawn Draper,DOLPHINS, T,Alabama
2001,5,26,157,Patrick Chukwurah,VIKINGS,LB,Wyoming
2001,5,27,158,Raymond Perryman,RAIDERS,DB,Northern Arizona
2001,5,28,159,Eddie Berlin,TITANS,WR,Northern Iowa
2001,5,29,160,John Markham,GIANTS, K,Vanderbilt
2001,5,30,161,Chris Barnes,RAVENS,RB,New Mexico State
2001,5,31,162,Jonathan Carter,GIANTS,WR,Troy
2001,5,32,163,Hakim Akbar,PATRIOTS,DB,Washington
2001,6,1,164,Brandon Winey,DOLPHINS, T,Louisiana State
2001,6,2,165,Michael Jameson,BROWNS,DB,Texas A&M
2001,6,3,166,Bobby Newcombe,CARDINALS,WR,Nebraska
2001,6,4,167,Randy Garner,FALCONS,DE,Arkansas
2001,6,5,168,Riall Johnson,BENGALS,DE,Stanford
2001,6,6,169,Cedrick Wilson,49ERS,WR,Tennessee
2001,6,7,170,Chad Ward,JAGUARS, G,Washington
2001,6,8,171,Daleroy Stewart,COWBOYS,DT,Southern Mississippi
2001,6,9,172,Josh Booty,SEAHAWKS,QB,Louisiana State
2001,6,10,173,Jason Glenn,LIONS,LB,Texas A&M
2001,6,11,174,Jameel Cook,BUCCANEERS,RB,Illinois
2001,6,12,175,Dadrian Brown,PANTHERS,RB,Syracuse
2001,6,13,176,Alex Sulfsted,CHIEFS, G,Miami (OH)
2001,6,14,177,Josh Heupel,DOLPHINS,QB,Oklahoma
2001,6,15,178,Tony Driver,BILLS,DB,Notre Dame
2001,6,16,179,Rashad Holman,49ERS,DB,Louisville
2001,6,17,180,Arther Love,PATRIOTS,TE,South Carolina State
2001,6,18,181,Rodney Bailey,STEELERS,DE,Ohio State
2001,6,19,182,Roger Knight,STEELERS,LB,Wisconsin
2001,6,20,183,Ellis Wyms,BUCCANEERS,DE,Mississippi State
2001,6,21,184,Chris Cooper,RAIDERS,DE,Nebraska-Omaha
2001,6,22,185,Mitch White,SAINTS, T,Oregon State
2001,6,23,186,Mario Monds,TEAM,DT,Cincinnati
2001,6,24,187,Otis Leverette,DOLPHINS,DE,Alabama-Birmingham
2001,6,25,188,Rick Crowell,DOLPHINS,LB,Colorado State
2001,6,26,189,Carey Scott,VIKINGS,DB,Kentucky State
2001,6,27,190,Kevin Kasper,BRONCOS,WR,Iowa
2001,6,28,191,Menson Holloway,49ERS,DE,Texas-El Paso
2001,6,29,192,Dan Alexander,TITANS,RB,Nebraska
2001,6,30,193,Jason Doering,COLTS,DB,Wisconsin
2001,6,31,194,Joe Maese,RAVENS, C,New Mexico
2001,6,32,195,Dan O\'Leary,BILLS,TE,Notre Dame
2001,6,33,196,Jimmy Williams,BILLS,DB,Vanderbilt
2001,6,34,197,Francis S. Paul,RAMS,WR,Northern Arizona
2001,6,35,198,David Martin,PACKERS,WR,Tennessee
2001,6,36,199,Adam Haayer,TITANS, G,Minnesota
2001,6,37,200,Leonard Myers,PATRIOTS,DB,Miami (FL)
2001,7,1,201,Brandon Gorin,CHARGERS, T,Purdue
2001,7,2,202,Renaldo Hill,CARDINALS,DB,Michigan State
2001,7,3,203,Paul Zukauskas,BROWNS, G,Boston College
2001,7,4,204,T.J. Houshmandzadeh,BENGALS,WR,Oregon State
2001,7,5,205,Dauntae Finger,BUCCANEERS,TE,North Carolina
2001,7,6,206,James Reed,JETS,DT,Iowa State
2001,7,7,207,Colston Weatherington,COWBOYS,DE,Central Missouri State
2001,7,8,208,John Capel,BEARS,WR,Florida
2001,7,9,209,Alex Lincoln,49ERS,LB,Auburn
2001,7,10,210,Harold Blackmon,SEAHAWKS,DB,Northwestern
2001,7,11,211,Louis Williams,PANTHERS, T,Louisiana State
2001,7,12,212,Shaunard Harts,CHIEFS,DB,Boise State
2001,7,13,213,Anthony Denman,JAGUARS,LB,Notre Dame
2001,7,14,214,Reggie Germany,BILLS,WR,Ohio State
2001,7,15,215,Corey Hall,FALCONS,DB,Appalachian State
2001,7,16,216,Owen Pochman,PATRIOTS, K,Brigham Young
2001,7,17,217,Situpe Peko,JETS, T,Michigan State
2001,7,18,218,Chris Taylor,STEELERS,WR,Texas A&M
2001,7,19,219,Kynan Forney,FALCONS, G,Hawaii
2001,7,20,220,Rick DeMulling,COLTS, T,Idaho
2001,7,21,221,Ennis Davis,SAINTS,DT,USC
2001,7,22,222,Dennis Norman,SEAHAWKS, T,Princeton
2001,7,23,223,Than Merrill,BUCCANEERS,DB,Yale
2001,7,24,224,Eric Johnson,49ERS,TE,Yale
2001,7,25,225,Brian Crawford,VIKINGS, T,Western Oregon
2001,7,26,226,Ronald Flemons,FALCONS,DE,Texas A&M
2001,7,27,227,Mike Roberg,PANTHERS,TE,Idaho
2001,7,28,228,Derek Combs,RAIDERS,RB,Ohio State
2001,7,29,229,Ken-Yon Rambo,RAIDERS,WR,Ohio State
2001,7,30,230,Ross Kolodziej,GIANTS,DE,Wisconsin
2001,7,31,231,Dwayne Missouri,RAVENS,DE,Northwestern
2001,7,32,232,Keith Adams,TITANS,LB,Clemson
2001,7,33,233,Marlon McCree,JAGUARS,DB,Kentucky
2001,7,34,234,Joe Tafoya,BUCCANEERS,DE,Arizona
2001,7,35,235,Richmond Flowers,JAGUARS,WR,Chattanooga
2001,7,36,236,Quentin McCord,FALCONS,WR,Kentucky
2001,7,37,237,Kris Kocurek,SEAHAWKS,DT,Texas Tech
2001,7,38,238,Tyrone Robertson,BILLS,DT,Hinds J.C. (MI)
2001,7,39,239,T.J. Turner,PATRIOTS,LB,Michigan State
2001,7,40,240,John Nix,COWBOYS,DT,Southern Mississippi
2001,7,41,241,Randy Chevier,JAGUARS,DT,McGill
2001,7,42,242,Char-ron Dorsey,COWBOYS, T,Florida State
2001,7,43,243,Terdell Sands,CHIEFS,DT,Chattanooga
2001,7,44,244,Robert Carswell,CHARGERS,DB,Clemson
2001,7,45,245,Andre King,BROWNS,WR,Miami (FL)
2001,7,46,246,Tevita Ofahengaue,CARDINALS,TE,Brigham Young
2002,1,1,1,David Carr,TEXANS,QB,Fresno State
2002,1,2,2,Julius Peppers,PANTHERS,DE,North Carolina
2002,1,3,3,Joey Harrington,LIONS,QB,Oregon
2002,1,4,4,Mike Williams,BILLS, T,Texas
2002,1,5,5,Quentin Jammer,CHARGERS,DB,Texas
2002,1,6,6,Ryan Sims,CHIEFS,DT,North Carolina
2002,1,7,7,Bryant McKinnie,VIKINGS, T,Miami (FL)
2002,1,8,8,Roy Williams,COWBOYS,DB,Oklahoma
2002,1,9,9,John Henderson,JAGUARS,DT,Tennessee
2002,1,10,10,Levi Jones,BENGALS, T,Arizona State
2002,1,11,11,Dwight Freeney,COLTS,DE,Syracuse
2002,1,12,12,Wendell Bryant,CARDINALS,DT,Wisconsin
2002,1,13,13,Donte\' Stallworth,SAINTS,WR,Tennessee
2002,1,14,14,Jeremy Shockey,GIANTS,TE,Miami (FL)
2002,1,15,15,Albert Haynesworth,TITANS,DT,Tennessee
2002,1,16,16,William Green,BROWNS,RB,Boston College
2002,1,17,17,Phillip Buchanon,RAIDERS,DB,Miami (FL)
2002,1,18,18,T.J. Duckett,FALCONS,RB,Michigan State
2002,1,19,19,Ashley Lelie,BRONCOS,WR,Hawaii
2002,1,20,20,Javon Walker,PACKERS,WR,Florida State
2002,1,21,21,Dan Graham,PATRIOTS,TE,Colorado
2002,1,22,22,Bryan Thomas,JETS,DE,Alabama-Birmingham
2002,1,23,23,Napoleon Harris,RAIDERS,LB,Northwestern
2002,1,24,24,Ed Reed,RAVENS,DB,Miami (FL)
2002,1,25,25,Charles Grant,SAINTS,DE,Georgia
2002,1,26,26,Lito Sheppard,EAGLES,DB,Florida
2002,1,27,27,Mike Rumph,49ERS,DB,Miami (FL)
2002,1,28,28,Jerramy Stevens,SEAHAWKS,TE,Washington
2002,1,29,29,Marc Colombo,BEARS, T,Boston College
2002,1,30,30,Kendall Simmons,STEELERS, G,Auburn
2002,1,31,31,Robert Thomas,RAMS,LB,UCLA
2002,1,32,32,Patrick Ramsey,TEAM,QB,Tulane
2002,2,1,33,Jabar Gaffney,TEXANS,WR,Florida
2002,2,2,34,DeShaun Foster,PANTHERS,RB,UCLA
2002,2,3,35,Kalimba Edwards,LIONS,DE,South Carolina
2002,2,4,36,Josh Reed,BILLS,WR,Louisiana State
2002,2,5,37,Andre Gurode,COWBOYS, G,Colorado
2002,2,6,38,Raonall Smith,VIKINGS,LB,Washington State
2002,2,7,39,Toniu Fonoti,CHARGERS, G,Nebraska
2002,2,8,40,Mike Pearson,JAGUARS, T,Florida
2002,2,9,41,Lamont Thompson,BENGALS,DB,Washington State
2002,2,10,42,Larry Tripplett,COLTS,DT,Washington
2002,2,11,43,Eddie Freeman,CHIEFS,DT,Alabama-Birmingham
2002,2,12,44,LeCharles Bentley,SAINTS, C,Ohio State
2002,2,13,45,Tank Williams,TITANS,DB,Stanford
2002,2,14,46,Tim Carter,GIANTS,WR,Auburn
2002,2,15,47,Andre Davis,BROWNS,WR,Virginia Tech
2002,2,16,48,Reche Caldwell,CHARGERS,WR,Florida
2002,2,17,49,LeVar Fisher,CARDINALS,LB,North Carolina State
2002,2,18,50,Chester Pitts,TEXANS, G,San Diego State
2002,2,19,51,Clinton Portis,BRONCOS,RB,Miami (FL)
2002,2,20,52,Anthony Weaver,RAVENS,DE,Notre Dame
2002,2,21,53,Langston Walker,RAIDERS, T,California
2002,2,22,54,Maurice Morris,SEAHAWKS,RB,Oregon
2002,2,23,55,Doug Jolley,RAIDERS,TE,Brigham Young
2002,2,24,56,Ladell Betts,TEAM,RB,Iowa
2002,2,25,57,Jon McGraw,JETS,DB,Kansas State
2002,2,26,58,Michael Lewis,EAGLES,DB,Colorado
2002,2,27,59,Sheldon Brown,EAGLES,DB,South Carolina
2002,2,28,60,Anton Palepoi,SEAHAWKS,DE,UNLV
2002,2,29,61,Ryan Denney,BILLS,DE,Brigham Young
2002,2,30,62,Antwaan Randle El,STEELERS,WR,Indiana
2002,2,31,63,Antonio Bryant,COWBOYS,WR,Pittsburgh
2002,2,32,64,Travis Fisher,RAMS,DB,Central Florida
2002,2,33,65,Deion Branch,PATRIOTS,WR,Louisville
2002,3,1,66,Fred Weary,TEXANS, C,Tennessee
2002,3,2,67,Matt Schobel,BENGALS,TE,Texas Christian
2002,3,3,68,Andre Goodman,LIONS,DB,South Carolina
2002,3,4,69,Saleem Rasheed,49ERS,LB,Alabama
2002,3,5,70,Willie Offord,VIKINGS,DB,South Carolina
2002,3,6,71,Ben Leber,CHARGERS,LB,Kansas State
2002,3,7,72,Roosevelt Williams,BEARS,DB,Tuskegee
2002,3,8,73,Will Witherspoon,PANTHERS,LB,Georgia
2002,3,9,74,Joseph Jefferson,COLTS,DB,Western Kentucky
2002,3,10,75,Derek Ross,COWBOYS,DB,Ohio State
2002,3,11,76,Melvin Fowler,BROWNS, C,Maryland
2002,3,12,77,Rocky Calmus,TITANS,LB,Oklahoma
2002,3,13,78,Jeff Hatch,GIANTS, T,Pennsylvania
2002,3,14,79,Rashad Bauman,TEAM,DB,Oregon
2002,3,15,80,Will Overstreet,FALCONS,DE,Tennessee
2002,3,16,81,Josh McCown,CARDINALS,QB,Sam Houston State
2002,3,17,82,James Allen,SAINTS,LB,Oregon State
2002,3,18,83,Charles Hill,TEXANS,DT,Maryland
2002,3,19,84,Lamar Gordon,RAMS,RB,North Dakota State
2002,3,20,85,Kris Richard,SEAHAWKS,DB,USC
2002,3,21,86,Marquis Walker,BUCCANEERS,WR,Michigan
2002,3,22,87,Cliff Russell,TEAM,WR,Utah
2002,3,23,88,Chris Baker,JETS,TE,Michigan State
2002,3,24,89,Akin Ayodele,JAGUARS,LB,Purdue
2002,3,25,90,Seth McKinney,DOLPHINS, C,Texas A&M
2002,3,26,91,Brian Westbrook,EAGLES,RB,Villanova
2002,3,27,92,Marques Anderson,PACKERS,DB,UCLA
2002,3,28,93,Terrence Metcalf,BEARS, G,Mississippi
2002,3,29,94,Chris Hope,STEELERS,DB,Florida State
2002,3,30,95,Eric Crouch,RAMS,WR,Nebraska
2002,3,31,96,Dorsett Davis,BRONCOS,DT,Mississippi State
2002,3,32,97,Coy Wire,BILLS,DB,Stanford
2002,3,33,98,Dennis Johnson,CARDINALS,DE,Kentucky
2002,4,1,99,Jonathan Wells,TEXANS,RB,Ohio State
2002,4,2,100,Dante Wesley,PANTHERS,DB,Arkansas-Pine Bluff
2002,4,3,101,Kevin Bentley,BROWNS,LB,Northwestern
2002,4,4,102,Jeff Chandler,49ERS, K,Florida
2002,4,5,103,Justin Peelle,CHARGERS,TE,Oregon
2002,4,6,104,Alex Brown,BEARS,DE,Florida
2002,4,7,105,Brian Williams,VIKINGS,DB,North Carolina State
2002,4,8,106,David Thorton,COLTS,LB,North Carolina
2002,4,9,107,Omar Easy,CHIEFS,RB,Penn State
2002,4,10,108,David Garrard,JAGUARS,QB,East Carolina
2002,4,11,109,Travis Dorsch,BENGALS, K,Purdue
2002,4,12,110,Mike Echols,TITANS,DB,Wisconsin
2002,4,13,111,Ben Taylor,BROWNS,LB,Virginia Tech
2002,4,14,112,Dave Zastudil,RAVENS, P,Ohio
2002,4,15,113,Nate Dwyer,CARDINALS,DT,Kansas
2002,4,16,114,Randy McMichael,DOLPHINS,TE,Georgia
2002,4,17,115,Tony Beckham,TITANS,DB,Wisconsin-Stout
2002,4,18,116,Martin Bibla,FALCONS, G,Miami (FL)
2002,4,19,117,Rohan Davey,PATRIOTS,QB,Louisiana State
2002,4,20,118,Chris Luzar,JAGUARS,TE,Virginia
2002,4,21,119,Travis Stephens,BUCCANEERS,RB,Tennessee
2002,4,22,120,Terreal Bierria,SEAHAWKS,DB,Georgia
2002,4,23,121,Alan Harper,JETS,DT,Fresno State
2002,4,24,122,Darnell Sanders,BROWNS,TE,Ohio State
2002,4,25,123,Ron Johnson,RAVENS,WR,Minnesota
2002,4,26,124,Scott Peters,EAGLES, C,Arizona State
2002,4,27,125,Keyuo Craver,SAINTS,DB,Nebraska
2002,4,28,126,Jarvis Green,PATRIOTS,DE,Louisiana State
2002,4,29,127,Kevin Curtis,49ERS,DB,Texas Tech
2002,4,30,128,Larry Foote,STEELERS,LB,Michigan
2002,4,31,129,Jamar Martin,COWBOYS,RB,Ohio State
2002,4,32,130,Travis Scott,RAMS, G,Arizona State
2002,4,33,131,Sam Brandon,BRONCOS,DB,UNLV
2002,4,34,132,Edward Ta\'amu,VIKINGS, G,Utah
2002,4,35,133,Rocky Boiman,TITANS,LB,Notre Dame
2002,4,36,134,John Taylor,LIONS,LB,Montana State
2002,4,37,135,Najeh Davenport,PACKERS,RB,Miami (FL)
2002,5,1,136,Jarrod Baxter,TEXANS,RB,New Mexico
2002,5,2,137,Randy Fasani,PANTHERS,QB,Stanford
2002,5,3,138,John Owens,LIONS,TE,Notre Dame
2002,5,4,139,Justin Bannan,BILLS,DT,Colorado
2002,5,5,140,Bobby Gray,BEARS,DB,Louisiana Tech
2002,5,6,141,Andra Davis,BROWNS,LB,Florida
2002,5,7,142,Terry Charles,CHARGERS,WR,Portland State
2002,5,8,143,Scott Fujita,CHIEFS,LB,California
2002,5,9,144,Herb Haygood,BRONCOS,WR,Michigan State
2002,5,10,145,Kyle Johnson,PANTHERS,RB,Syracuse
2002,5,11,146,Rocky Bernard,SEAHAWKS,DE,Texas A&M
2002,5,12,147,Kenyon Coleman,RAIDERS,DE,UCLA
2002,5,13,148,Kevin McCadam,FALCONS,DB,Virginia Tech
2002,5,14,149,Jason McAddley,CARDINALS,WR,Alabama
2002,5,15,150,Mel Mitchell,SAINTS,DB,Western Kentucky
2002,5,16,151,Jake Schifino,TITANS,WR,Akron
2002,5,17,152,Nick Greisen,GIANTS,LB,Wisconsin
2002,5,18,153,Ramone Walker,TEXANS,DB,Pittsburgh
2002,5,19,154,Jonathan Goodwin,JETS, G,Michigan
2002,5,20,155,Terry Jones ,RAVENS,TE,Alabama
2002,5,21,156,Aaron Kampman,PACKERS,DE,Iowa
2002,5,22,157,Jermaine Phillips,BUCCANEERS,DB,Georgia
2002,5,23,158,Kurt Kittner,FALCONS,QB,Illinois
2002,5,24,159,Andre Lott,TEAM,DB,Tennessee
2002,5,25,160,Robert Royal,TEAM,TE,Louisiana State
2002,5,26,161,Omare Lowe,DOLPHINS,DB,Washington
2002,5,27,162,Freddie Milons,EAGLES,WR,Alabama
2002,5,28,163,Brandon Doman,49ERS,QB,Brigham Young
2002,5,29,164,Craig Nall,PACKERS,QB,Northwestern State (LA)
2002,5,30,165,Bryan Knight,BEARS,LB,Pittsburgh
2002,5,31,166,Verron Haynes,STEELERS,RB,Georgia
2002,5,32,167,Courtland Bullard,RAMS,LB,Ohio State
2002,5,33,168,Ralph Hunter,COWBOYS,DB,Virginia Union
2002,5,34,169,Ryan Hannam,SEAHAWKS,TE,Northern Iowa
2002,5,35,170,Sam Simmons,DOLPHINS,WR,Northwestern
2002,5,36,171,Matt Hill,SEAHAWKS, T,Boise State
2002,5,37,172,Josh Shaw,49ERS,DT,Michigan State
2002,6,1,173,Howard Faggins,TEXANS,DB,Kansas State
2002,6,2,174,Keith Heinrich,PANTHERS,TE,Sam Houston State
2002,6,3,175,Chris Cash,LIONS,DB,USC
2002,6,4,176,Kevin Thomas,BILLS,DB,UNLV
2002,6,5,177,Nick Rogers,VIKINGS,LB,Georgia Tech
2002,6,6,178,Matt Anderle,CHARGERS, T,Minnesota
2002,6,7,179,Tyson Walter,COWBOYS, T,Ohio State
2002,6,8,180,Clenton Ballard,JAGUARS,DT,Southwest Texas State
2002,6,9,181,Marquand Manuel,BENGALS,DB,Florida
2002,6,10,182,David Pugh,COLTS,DT,Virginia Tech
2002,6,11,183,James Lewis,COLTS,DB,Miami (FL)
2002,6,12,184,Kahlil Hill,FALCONS,WR,Iowa
2002,6,13,185,Josh Scobey,CARDINALS,RB,Kansas State
2002,6,14,186,J.T. O\'Sullivan,SAINTS,QB,California-Davis
2002,6,15,187,Justin Hartwig,TITANS, T,Kansas
2002,6,16,188,Wesley Mallard,GIANTS,DB,Oregon
2002,6,17,189,Keyon Nash,RAIDERS,DB,Albany State
2002,6,18,190,Howard Green,TEXANS,DT,Louisiana State
2002,6,19,191,Jeb Putzier,BRONCOS,TE,Boise State
2002,6,20,192,Reggie Coleman,TEAM, T,Tennessee
2002,6,21,193,John Stamper,BUCCANEERS,DE,South Carolina
2002,6,22,194,Craig Jarrett,SEAHAWKS, P,Michigan State
2002,6,23,195,LaMont Brightful,RAVENS,WR,Eastern Washington
2002,6,24,196,John Gilmore,SAINTS,TE,Penn State
2002,6,25,197,Larry Ned,RAIDERS,RB,San Diego State
2002,6,26,198,Tyreo Harrison,EAGLES,LB,Notre Dame
2002,6,27,199,Adrian Peterson,BEARS,RB,Georgia Southern
2002,6,28,200,Mike Houghton,PACKERS, T,San Diego State
2002,6,29,201,Mark Anelli,49ERS,TE,Wisconsin
2002,6,30,202,Lee Mays,STEELERS,WR,Texas-El Paso
2002,6,31,203,Jamin Elliott,BEARS,WR,Delaware
2002,6,32,204,Brian Allen,COLTS,RB,Stanford
2002,6,33,205,Steve Bellisari,RAMS,QB,Ohio State
2002,6,34,206,Javin Hunter,RAVENS,WR,Notre Dame
2002,6,35,207,Chester Taylor,RAVENS,RB,Toledo
2002,6,36,208,Deveren Johnson,COWBOYS,WR,Sacred Heart
2002,6,37,209,Chad Williams,RAVENS,DB,Southern Mississippi
2002,6,38,210,Bryan Fletcher,BEARS,TE,UCLA
2002,6,39,211,Bob Slowikowski,COWBOYS,TE,Virginia Tech
2002,7,1,212,LaVar Glover,STEELERS,DB,Cincinnati
2002,7,2,213,Pete Campion,PANTHERS, G,North Dakota State
2002,7,3,214,Luke Staley,LIONS,RB,Brigham Young
2002,7,4,215,Mike Pucillo,BILLS, G,Auburn
2002,7,5,216,Seth Burford,CHARGERS,QB,Cal Poly-San Luis Obispo
2002,7,6,217,Michael Coleman,FALCONS,WR,Widener
2002,7,7,218,Chad Beasley,VIKINGS,DT,Virginia Tech
2002,7,8,219,Joey Evans,BENGALS,DE,North Carolina
2002,7,9,220,Josh Mallard,COLTS,DE,Georgia
2002,7,10,221,Maurice Rodriguez,CHIEFS,LB,Fresno State
2002,7,11,222,Kendall Newson,JAGUARS,WR,Middle Tennessee State
2002,7,12,223,Mike Banks,CARDINALS,TE,Iowa State
2002,7,13,224,Derrius Monroe,SAINTS,DE,Virginia Tech
2002,7,14,225,Darrell Hill,TITANS,WR,Northern Illinois
2002,7,15,226,Daryl Jones,GIANTS,WR,Miami (FL)
2002,7,16,227,Joaquin Gonzalez,BROWNS, T,Miami (FL)
2002,7,17,228,Chris Young,BRONCOS,DB,Georgia Tech
2002,7,18,229,Greg White,TEXANS,DE,Minnesota
2002,7,19,230,Jeff Grau,TEAM,TE,UCLA
2002,7,20,231,Monsanto Pope,BRONCOS,DT,Virginia
2002,7,21,232,Jeff Kelly,SEAHAWKS,QB,Southern Mississippi
2002,7,22,233,Tim Wansley,BUCCANEERS,DB,Georgia
2002,7,23,234,Gregory Scott,TEAM,DE,Hampton
2002,7,24,235,Ronald Curry,RAIDERS,QB,North Carolina
2002,7,25,236,Wes Pate,RAVENS,QB,Stephen F. Austin
2002,7,26,237,Antwoine Womack,PATRIOTS,RB,Virginia
2002,7,27,238,Raheem Brock,EAGLES,DE,Temple
2002,7,28,239,Eric Heitmann,49ERS, G,Stanford
2002,7,29,240,Carlos Hall,TITANS,DE,Arkansas
2002,7,30,241,Leonard Henry,DOLPHINS,RB,East Carolina
2002,7,31,242,Brett Keisel,STEELERS,DE,Brigham Young
2002,7,32,243,Chris Massey,RAMS, C,Marshall
2002,7,33,244,David Givens,PATRIOTS,WR,Notre Dame
2002,7,34,245,Kevin Shaffer,FALCONS, T,Tulsa
2002,7,35,246,Quincy Monk,GIANTS,LB,North Carolina
2002,7,36,247,Steve Smith,JAGUARS,DB,Oregon
2002,7,37,248,Hayden Epstein,JAGUARS, K,Michigan
2002,7,38,249,Kyle Koiser,49ERS, G,Arizona State
2002,7,39,250,Rodney Wright,BILLS,WR,Fresno State
2002,7,40,251,Tracey Wistrom,BUCCANEERS,TE,Nebraska
2002,7,41,252,Jarrett Ferguson,BILLS,RB,Virginia Tech
2002,7,42,253,Matt Murphy,LIONS,TE,Maryland
2002,7,43,254,Aaron Lockett,BUCCANEERS,WR,Kansas State
2002,7,44,255,Zack Quaccia,BUCCANEERS, C,Stanford
2002,7,45,256,Teddy Gaines,49ERS,DB,Tennessee
2002,7,46,257,Rock Cartwright,TEAM,RB,Kansas State
2002,7,47,258,Brad Franklin,PANTHERS,DB,Louisiana-Lafayette
2002,7,48,259,Victor Rogers,LIONS, T,Colorado
2002,7,49,260,Dominique Stevenson,BILLS,LB,Tennessee
2002,7,50,261,Ahmad Miller,TEXANS,DT,UNLV
2003,1,1,1,Carson Palmer,BENGALS,QB,USC
2003,1,2,2,Charles Rogers,LIONS,WR,Michigan State
2003,1,3,3,Andre Johnson,TEXANS,WR,Miami (FL)
2003,1,4,4,Dewayne Robertson,JETS,DT,Kentucky
2003,1,5,5,Terence Newman,COWBOYS,DB,Kansas State
2003,1,6,6,Johnathan Sullivan,SAINTS,DT,Georgia
2003,1,7,7,Byron Leftwich,JAGUARS,QB,Marshall
2003,1,8,8,Jordan Gross,PANTHERS, T,Utah
2003,1,9,9,Kevin Williams,VIKINGS,DE,Oklahoma State
2003,1,10,10,Terrell Suggs,RAVENS,DE,Arizona State
2003,1,11,11,Marcus Trufant,SEAHAWKS,DB,Washington State
2003,1,12,12,Jimmy Kennedy,RAMS,DT,Penn State
2003,1,13,13,Ty Warren,PATRIOTS,DT,Texas A&M
2003,1,14,14,Michael Haynes,BEARS,DE,Penn State
2003,1,15,15,Jerome McDougle,EAGLES,DE,Miami (FL)
2003,1,16,16,Troy Polamalu,STEELERS,DB,USC
2003,1,17,17,Bryant Johnson,CARDINALS,WR,Penn State
2003,1,18,18,Calvin Pace,CARDINALS,DE,Wake Forest
2003,1,19,19,Kyle Boller,RAVENS,QB,California
2003,1,20,20,George Foster,BRONCOS, T,Georgia
2003,1,21,21,Jeff Faine,BROWNS, C,Notre Dame
2003,1,22,22,Rex Grossman,BEARS,QB,Florida
2003,1,23,23,Willis McGahee,BILLS,RB,Miami (FL)
2003,1,24,24,Dallas Clark,COLTS,TE,Iowa
2003,1,25,25,William Joseph,GIANTS,DT,Miami (FL)
2003,1,26,26,Kwame Harris,49ERS, T,Stanford
2003,1,27,27,Larry Johnson,CHIEFS,RB,Penn State
2003,1,28,28,Andre Woolfolk,TITANS,DB,Oklahoma
2003,1,29,29,Nick Barnett,PACKERS,LB,Oregon State
2003,1,30,30,Sammy Davis,CHARGERS,DB,Texas A&M
2003,1,31,31,Nnamdi Asomugha,RAIDERS,DB,California
2003,1,32,32,Tyler Brayton,RAIDERS,DE,Colorado
2003,2,1,33,Eric Steinbach,BENGALS, G,Iowa
2003,2,2,34,Boss Bailey,LIONS,LB,Georgia
2003,2,3,35,Charles Tillman,BEARS,DB,Louisiana-Lafayette
2003,2,4,36,Eugene Wilson,PATRIOTS,DB,Illinois
2003,2,5,37,Jonathan Stinchcomb,SAINTS, T,Georgia
2003,2,6,38,Al Johnson,COWBOYS, C,Wisconsin
2003,2,7,39,Rashean Mathis,JAGUARS,DB,Bethune-Cookman
2003,2,8,40,E.J. Henderson,VIKINGS,LB,Maryland
2003,2,9,41,Ben Joppru,TEXANS,TE,Michigan
2003,2,10,42,Ken Hamlin,SEAHAWKS,DB,Arkansas
2003,2,11,43,Pisa Tinoisamoa,RAMS,LB,Hawaii
2003,2,12,44,Taylor Jacobs,TEAM,WR,Florida
2003,2,13,45,Bethel Johnson,PATRIOTS,WR,Texas A&M
2003,2,14,46,Drayton Florence,CHARGERS,DB,Tuskegee
2003,2,15,47,Kawika Mitchell,CHIEFS,LB,South Florida
2003,2,16,48,Chris Kelsay,BILLS,DE,Nebraska
2003,2,17,49,Eddie Moore,DOLPHINS,LB,Tennessee
2003,2,18,50,Bruce Nelson,PANTHERS, C,Iowa
2003,2,19,51,Terry Pierce,BRONCOS,LB,Kansas State
2003,2,20,52,Chaun Thompson,BROWNS,LB,West Texas State
2003,2,21,53,Victor Hobson,JETS,LB,Michigan
2003,2,22,54,Anquan Boldin,CARDINALS,WR,Florida State
2003,2,23,55,Bryan Scott,FALCONS,DB,Penn State
2003,2,24,56,Osi Umenyiora,GIANTS,DE,Troy
2003,2,25,57,Anthony Adams,49ERS,DT,Penn State
2003,2,26,58,Mike Doss,COLTS,DB,Ohio State
2003,2,27,59,Alonzo Jackson,STEELERS,DE,Florida State
2003,2,28,60,Tyrone Calico,TITANS,WR,Middle Tennessee State
2003,2,29,61,L.J. Smith,EAGLES,TE,Rutgers
2003,2,30,62,Terrance Kiel,CHARGERS,DB,Texas A&M
2003,2,31,63,Teyo Johnson,RAIDERS,WR,Stanford
2003,2,32,64,Dewayne White,BUCCANEERS,DE,Louisville
2003,3,1,65,Kelley Washington,BENGALS,WR,Tennessee
2003,3,2,66,Cory Redding,LIONS,DE,Texas
2003,3,3,67,Antwan Peek,TEXANS,LB,Cincinnati
2003,3,4,68,Lance Briggs,BEARS,LB,Arizona
2003,3,5,69,Jason Witten,COWBOYS,TE,Tennessee
2003,3,6,70,Gerald Hayes,CARDINALS,LB,Pittsburgh
2003,3,7,71,Nate Burleson,VIKINGS,WR,Nevada
2003,3,8,72,Vincent Manuwai,JAGUARS, G,Hawaii
2003,3,9,73,Wayne Hunter,SEAHAWKS, T,Hawaii
2003,3,10,74,Kevin Curtis,RAMS,WR,Utah State
2003,3,11,75,Seth Wand,TEXANS, T,Northwest Missouri State
2003,3,12,76,Mike Seidman,PANTHERS,TE,UCLA
2003,3,13,77,Musa Smith,RAVENS,RB,Georgia
2003,3,14,78,Wade Smith,DOLPHINS, T,Memphis
2003,3,15,79,Kenny Peterson,PACKERS,DE,Ohio State
2003,3,16,80,Courtney Van Buren,CHARGERS, G,Arkansas-Pine Bluff
2003,3,17,81,Derrick Dockery,TEAM, G,Texas
2003,3,18,82,Ricky Manning,PANTHERS,DB,UCLA
2003,3,19,83,Sam Williams,RAIDERS,LB,Fresno State
2003,3,20,84,Chris Crocker,BROWNS,DB,Marshall
2003,3,21,85,B.J. Askew,JETS,RB,Michigan
2003,3,22,86,Willie Grant,SAINTS,LB,Ohio State
2003,3,23,87,Taylor Whitley,DOLPHINS, G,Texas A&M
2003,3,24,88,Dave Ragone,TEXANS,QB,Louisville
2003,3,25,89,Andrew Williams,49ERS,DE,Miami (FL)
2003,3,26,90,Donald Strickland,COLTS,DB,Colorado
2003,3,27,91,Visanthe Shiancoe,GIANTS,TE,Morgan State
2003,3,28,92,Julian Battle,CHIEFS,DB,Tennessee
2003,3,29,93,Chris Brown,TITANS,RB,Colorado
2003,3,30,94,Angelo Crowell,BILLS,LB,Virginia
2003,3,31,95,Billy McMullen,EAGLES,WR,Virginia
2003,3,32,96,Justin Fargas,RAIDERS,RB,USC
2003,3,33,97,Chris Simms,BUCCANEERS,QB,Texas
2003,4,1,98,Dennis Weathersby,BENGALS,DB,Oregon State
2003,4,2,99,Artose Pinner,LIONS,RB,Kentucky
2003,4,3,100,Todd Johnson,BEARS,DB,Florida
2003,4,4,101,Domanick Davis,TEXANS,RB,Louisiana State
2003,4,5,102,Montrae Holland,SAINTS, G,Florida State
2003,4,6,103,Bradie James,COWBOYS,LB,Louisiana State
2003,4,7,104,George Wrighster,JAGUARS,TE,Oregon
2003,4,8,105,Onterrio Smith,VIKINGS,RB,Oregon
2003,4,9,106,Shaun McDonald,RAMS,WR,Arizona State
2003,4,10,107,DeJuan Groce,RAMS,DB,Nebraska
2003,4,11,108,Quentin Griffin,BRONCOS,RB,Oklahoma
2003,4,12,109,Jarret Johnson,RAVENS,DT,Alabama
2003,4,13,110,Seneca Wallace,SEAHAWKS,QB,Iowa State
2003,4,14,111,Terrence McGee,BILLS,DB,Northwestern State (LA)
2003,4,15,112,Matt Wilhelm,CHARGERS,LB,Ohio State
2003,4,16,113,Brett Williams,CHIEFS, T,Florida State
2003,4,17,114,Nicholas Eason,BRONCOS,DT,Clemson
2003,4,18,115,Lee Suggs,BROWNS,RB,Virginia Tech
2003,4,19,116,Ian Scott,BEARS,DT,Florida
2003,4,20,117,Dan Klecko,PATRIOTS,DT,Temple
2003,4,21,118,Jeremi Johnson,BENGALS,RB,Western Kentucky
2003,4,22,119,Colin Branch,PANTHERS,DB,Stanford
2003,4,23,120,Asante Samuel,PATRIOTS,DB,Central Florida
2003,4,24,121,Justin Griffith,FALCONS,RB,Mississippi State
2003,4,25,122,Steve Sciullo,COLTS, T,Marshall
2003,4,26,123,Roderick Babers,GIANTS,DB,Texas
2003,4,27,124,Brandon Lloyd,49ERS,WR,Illinois
2003,4,28,125,Ivan Taylor,STEELERS,DB,Louisiana-Lafayette
2003,4,29,126,Rien Long,TITANS,DT,Washington State
2003,4,30,127,Sam Aiken,BILLS,WR,North Carolina
2003,4,31,128,Bryant McNeal,BRONCOS,DE,Clemson
2003,4,32,129,Shurron Pierson,RAIDERS,DE,South Florida
2003,4,33,130,Lance Nimmo,BUCCANEERS, T,West Virginia
2003,4,34,131,Jamaal Green,EAGLES,DE,Miami (FL)
2003,4,35,132,LaBrandon Toefield,JAGUARS,RB,Louisiana State
2003,4,36,133,Austin King,BUCCANEERS, C,Northwestern
2003,4,37,134,Ovie Mughelli,RAVENS,RB,Wake Forest
2003,4,38,135,Solomon Bates,SEAHAWKS,LB,Arizona State
2003,5,1,136,Khalid Abdullah,BENGALS,LB,Mars Hill
2003,5,2,137,Terrence Holt,LIONS,DB,North Carolina State
2003,5,3,138,Robert Mathis,COLTS,DE,Alabama A&M
2003,5,4,139,Bobby Wade,BEARS,WR,Arizona
2003,5,5,140,Derek Pagel,JETS,DB,Iowa
2003,5,6,141,Kenny King,CARDINALS,DT,Alabama
2003,5,7,142,Ryan Pontbriand,BROWNS, C,Rice
2003,5,8,143,Justin Gage,BEARS,WR,Missouri
2003,5,9,144,James Davis,LIONS,DB,West Virginia
2003,5,10,145,Kindal Moorehead,PANTHERS,DE,Alabama
2003,5,11,146,Aubrayo Franklin,RAVENS,DT,Tennessee
2003,5,12,147,James Lee,PACKERS,DT,Oregon State
2003,5,13,148,Dan Curley,RAMS,TE,Eastern Washington
2003,5,14,149,Mike Scifres,CHARGERS, P,Western Illinois
2003,5,15,150,Matthew Walters,JETS,DE,Miami (FL)
2003,5,16,151,Ben Sobieski,BILLS, G,Iowa
2003,5,17,152,Michael Lehan,BROWNS,DB,Minnesota
2003,5,18,153,Jordan Black,CHIEFS, T,Notre Dame
2003,5,19,154,Donnie Nickey,TITANS,DB,Ohio State
2003,5,20,155,Melvin Williams,SAINTS,DE,Kansas State
2003,5,21,156,Donald Lee,DOLPHINS,TE,Mississippi State
2003,5,22,157,Ben Claxton,BRONCOS, C,Mississippi
2003,5,23,158,Adrian Madise,BRONCOS,WR,Texas Christian
2003,5,24,159,Jon Olinger,FALCONS,WR,Cincinnati
2003,5,25,160,David Diehl,GIANTS, G,Illinois
2003,5,26,161,Aaron Walker,49ERS,TE,Florida
2003,5,27,162,Keyon Whiteside,COLTS,LB,Tennessee
2003,5,28,163,Brian St. Pierre,STEELERS,QB,Boston College
2003,5,29,164,Dan Koppen,PATRIOTS, C,Boston College
2003,5,30,165,Chris Davis,SEAHAWKS,RB,Syracuse
2003,5,31,166,Hunter Hillenmeyer,PACKERS,LB,Vanderbilt
2003,5,32,167,Doug Gabriel,RAIDERS,WR,Central Florida
2003,5,33,168,Sean Mahan,BUCCANEERS, G,Notre Dame
2003,5,34,169,J.R. Tolver,DOLPHINS,WR,San Diego State
2003,5,35,170,Shane Walton,RAMS,DB,Notre Dame
2003,5,36,171,Tron Lafavor,BEARS,DT,Florida
2003,5,37,172,Kevin Garrett,RAMS,DB,Southern Methodist
2003,5,38,173,Tony Pashos,RAVENS, T,Illinois
2003,6,1,174,Langston Moore,BENGALS,DT,South Carolina
2003,6,2,175,David Kircus,LIONS,WR,Grand Valley State
2003,6,3,176,Brandon Green,JAGUARS,DE,Rice
2003,6,4,177,Reggie Wells,CARDINALS, T,Clarion
2003,6,5,178,B.J. Tucker,COWBOYS,DB,Wisconsin
2003,6,6,179,David Young,JAGUARS,DB,Georgia Southern
2003,6,7,180,Eddie Johnson,VIKINGS, P,Idaho State
2003,6,8,181,Corey Jenkins,DOLPHINS,DB,South Carolina
2003,6,9,182,Gerome Sapp,RAVENS,DB,Notre Dame
2003,6,10,183,Rashad Moore,SEAHAWKS,DT,Tennessee
2003,6,11,184,Scott Tercero,RAMS, G,California
2003,6,12,185,Jeremy Bridges,EAGLES, G,Southern Mississippi
2003,6,13,186,Zuriel Smith,COWBOYS,WR,Hampton
2003,6,14,187,Lauvale Sape,BILLS,DT,Utah
2003,6,15,188,Hanik Milligan,CHARGERS,DB,Houston
2003,6,16,189,Jimmy Wilkerson,CHIEFS,DE,Oklahoma
2003,6,17,190,Michael Nattiel,VIKINGS,LB,Florida
2003,6,18,191,Joe Odom,BEARS,LB,Purdue
2003,6,19,192,Drew Henson,TEXANS,QB,Michigan
2003,6,20,193,Marques Ogden,JAGUARS, T,Howard
2003,6,21,194,Aaron Hunt,BRONCOS,DE,Texas Tech
2003,6,22,195,Antonio Garay,BROWNS,DE,Boston College
2003,6,23,196,LaTarence Dunbar,FALCONS,WR,Texas Christian
2003,6,24,197,Arnaz Battle,49ERS,WR,Notre Dame
2003,6,25,198,Cato June,COLTS,LB,Michigan
2003,6,26,199,Willie Ponder,GIANTS,WR,Southeast Missouri State
2003,6,27,200,Brooks Bollinger,JETS,QB,Wisconsin
2003,6,28,201,Kliff Kingsbury,PATRIOTS,QB,Texas Tech
2003,6,29,202,Waine Bacon,FALCONS,DB,Alabama
2003,6,30,203,Kareem Kelly,SAINTS,WR,USC
2003,6,31,204,Dustin Rykert,RAIDERS, T,Brigham Young
2003,6,32,205,Torrie Cox,BUCCANEERS,DB,Pittsburgh
2003,6,33,206,Brock Forsey,BEARS,RB,Boise State
2003,6,34,207,Frank Walker,GIANTS,DB,Tuskegee
2003,6,35,208,Makoa Freitas,COLTS, T,Arizona
2003,6,36,209,Tim Provost,DOLPHINS, T,San Jose State
2003,6,37,210,Tony Gilbert,CARDINALS,LB,Georgia
2003,6,38,211,David Tyree,GIANTS,WR,Syracuse
2003,6,39,212,Brennan Curtin,PACKERS, T,Notre Dame
2003,6,40,213,Yeremiah Bell,DOLPHINS,DB,Eastern Kentucky
2003,6,41,214,Keith Wright,TEXANS,DT,Missouri
2003,7,1,215,Scott Kooistra,BENGALS, T,North Carolina State
2003,7,2,216,Ben Johnson,LIONS, T,Wisconsin
2003,7,3,217,Curry Burns,TEXANS,DB,Louisville
2003,7,4,218,Malaefou MacKenzie,JAGUARS,RB,USC
2003,7,5,219,Justin Bates,COWBOYS, G,Colorado
2003,7,6,220,Daniel Adams,LIONS,DB,Cincinnati
2003,7,7,221,Keenan Howry,VIKINGS,WR,Oregon
2003,7,8,222,Josh Brown,SEAHAWKS, K,Nebraska
2003,7,9,223,Trent Smith,RAVENS,TE,Oklahoma
2003,7,10,224,Taco Wallace,SEAHAWKS,WR,Kansas State
2003,7,11,225,Todd Williams,TITANS, G,Florida State
2003,7,12,226,Walter Young,PANTHERS,WR,Illinois
2003,7,13,227,Clint Mitchell,BRONCOS,DE,Florida
2003,7,14,228,Mario Haggan,BILLS,LB,Mississippi State
2003,7,15,229,Andrew Pinnock,CHARGERS,RB,South Carolina
2003,7,16,230,Montique Sharpe,CHIEFS,DT,Wake Forest
2003,7,17,231,Talman Gardner,SAINTS,WR,Florida State
2003,7,18,232,Gibran Hamdan,TEAM,QB,Indiana
2003,7,19,233,Chance Pearce,TEXANS, C,Texas A&M
2003,7,20,234,Spencer Nead,PATRIOTS,TE,Brigham Young
2003,7,21,235,Ahmaad Galloway,BRONCOS,RB,Alabama
2003,7,22,236,Brandon Drumm,LIONS,RB,Colorado
2003,7,23,237,Dave Yovanovits,JETS, T,Temple
2003,7,24,238,Demetrin Veal,FALCONS,DE,Tennessee
2003,7,25,239,Tully Banta-Cain,PATRIOTS,DE,California
2003,7,26,240,Charles Drake,GIANTS,DB,Michigan
2003,7,27,241,Ken Dorsey,49ERS,QB,Miami (FL)
2003,7,28,242,J.T. Wall,STEELERS,RB,Georgia
2003,7,29,243,Ethan Kelley,PATRIOTS,DT,Baylor
2003,7,30,244,Norman Lejeune,EAGLES,DB,Louisiana State
2003,7,31,245,Chris Johnson,PACKERS,DB,Louisville
2003,7,32,246,Siddeeq Shabazz,RAIDERS,DB,New Mexico State
2003,7,33,247,Casey Moore,PANTHERS,RB,Stanford
2003,7,34,248,Davern Williams,DOLPHINS,DT,Troy
2003,7,35,249,Wayne Lucier,GIANTS, C,Colorado
2003,7,36,250,Mike Mabry,RAVENS, C,Central Florida
2003,7,37,251,Scott Shanle,RAMS,LB,Nebraska
2003,7,38,252,Willie Pile,CHIEFS,DB,Virginia Tech
2003,7,39,253,DeAndrew Rubin,PACKERS,WR,South Florida
2003,7,40,254,Richard Angulo,RAMS,TE,Western New Mexico
2003,7,41,255,Kevin Walter,GIANTS,WR,Eastern Michigan
2003,7,42,256,Carl Ford,PACKERS,WR,Toledo
2003,7,43,257,Steve Josue,PACKERS,LB,Carson-Newman
2003,7,44,258,Antwoine Sanders,RAVENS,DB,Utah
2003,7,45,259,Elton Patterson,BENGALS,DE,Central Florida
2003,7,46,260,Travis Anglin,LIONS,WR,Memphis
2003,7,47,261,Bryan Anderson,BEARS, G,Pittsburgh
2003,7,48,262,Ryan Hoag,RAIDERS,WR,Gustavus Adolphus
2004,1,1,1,Eli Manning,CHARGERS,QB,Mississippi
2004,1,2,2,Robert Gallery,RAIDERS, T,Iowa
2004,1,3,3,Larry Fitzgerald,CARDINALS,WR,Pittsburgh
2004,1,4,4,Philip Rivers,GIANTS,QB,North Carolina State
2004,1,5,5,Sean Taylor,TEAM,DB,Miami (FL)
2004,1,6,6,Kellen Winslow ,BROWNS,TE,Miami (FL)
2004,1,7,7,Roy Williams,LIONS,WR,Texas
2004,1,8,8,DeAngelo Hall,FALCONS,DB,Virginia Tech
2004,1,9,9,Reggie Williams,JAGUARS,WR,Washington
2004,1,10,10,Dunta Robinson,TEXANS,DB,South Carolina
2004,1,11,11,Ben Roethlisberger,STEELERS,QB,Miami (OH)
2004,1,12,12,Jonathan Vilma,JETS,LB,Miami (FL)
2004,1,13,13,Lee Evans,BILLS,WR,Wisconsin
2004,1,14,14,Tommie Harris,BEARS,DT,Oklahoma
2004,1,15,15,Michael Clayton,BUCCANEERS,WR,Louisiana State
2004,1,16,16,Shawn Andrews,EAGLES, T,Arkansas
2004,1,17,17,D.J. Williams,BRONCOS,LB,Miami (FL)
2004,1,18,18,Will Smith,SAINTS,DE,Ohio State
2004,1,19,19,Vernon Carey,DOLPHINS, G,Miami (FL)
2004,1,20,20,Kenechi Udeze,VIKINGS,DE,USC
2004,1,21,21,Vince Wilfork,PATRIOTS,DT,Miami (FL)
2004,1,22,22,J.P. Losman,BILLS,QB,Tulane
2004,1,23,23,Marcus Tubbs,SEAHAWKS,DT,Texas
2004,1,24,24,Steven Jackson,RAMS,RB,Oregon State
2004,1,25,25,Ahmad Carroll,PACKERS,DB,Arkansas
2004,1,26,26,Chris Perry,BENGALS,RB,Michigan
2004,1,27,27,Jason Babin,TEXANS,DE,Western Michigan
2004,1,28,28,Chris Gamble,PANTHERS,DB,Ohio State
2004,1,29,29,Michael Jenkins,FALCONS,WR,Ohio State
2004,1,30,30,Kevin Jones,LIONS,RB,Virginia Tech
2004,1,31,31,Rashaun Woods,49ERS,WR,Oklahoma State
2004,1,32,32,Ben Watson,PATRIOTS,TE,Georgia
2004,2,1,33,Karlos Dansby,CARDINALS,LB,Auburn
2004,2,2,34,Chris Snee,GIANTS, G,Boston College
2004,2,3,35,Igor Olshansky,CHARGERS,DT,Oregon
2004,2,4,36,Junior Siavii,CHIEFS,DT,Oregon
2004,2,5,37,Teddy Lehman,LIONS,LB,Oklahoma
2004,2,6,38,Ricardo Colclough,STEELERS,DB,Tusculum
2004,2,7,39,Daryl Smith,JAGUARS,LB,Georgia Tech
2004,2,8,40,Ben Troupe,TITANS,TE,Florida
2004,2,9,41,Tatum Bell,BRONCOS,RB,Oklahoma State
2004,2,10,42,Travis LaBoy,TITANS,DE,Hawaii
2004,2,11,43,Julius Jones,COWBOYS,RB,Notre Dame
2004,2,12,44,Bob Sanders,COLTS,DB,Iowa
2004,2,13,45,Jake Grove,RAIDERS, C,Virginia Tech
2004,2,14,46,Justin Smiley,49ERS, G,Alabama
2004,2,15,47,Tank Johnson,BEARS,DT,Washington
2004,2,16,48,Dontarrious Thomas,VIKINGS,LB,Auburn
2004,2,17,49,Keiwan Ratliff,BENGALS,DB,Florida
2004,2,18,50,Devery Henderson,SAINTS,WR,Louisiana State
2004,2,19,51,Dwan Edwards,RAVENS,DT,Oregon State
2004,2,20,52,Jacob Rogers,COWBOYS, T,USC
2004,2,21,53,Michael Boulware,SEAHAWKS,LB,Florida State
2004,2,22,54,Darius Watts,BRONCOS,WR,Marshall
2004,2,23,55,Greg Jones,JAGUARS,RB,Florida State
2004,2,24,56,Madieu Williams,BENGALS,DB,Maryland
2004,2,25,57,Antwan Odom,TITANS,DE,Alabama
2004,2,26,58,Shawntae Spencer,49ERS,DB,Pittsburgh
2004,2,27,59,Sean Jones,BROWNS,DB,Georgia
2004,2,28,60,Courtney Watson,SAINTS,LB,Notre Dame
2004,2,29,61,Kris Wilson,CHIEFS,TE,Pittsburgh
2004,2,30,62,Keary Colbert,PANTHERS,WR,USC
2004,2,31,63,Marquise Hill,PATRIOTS,DE,Louisiana State
2004,3,1,64,Darnell Dockett,CARDINALS,DE,Florida State
2004,3,2,65,Nate Kaeding,CHARGERS, K,Iowa
2004,3,3,66,Nick Hardwick,CHARGERS, C,Purdue
2004,3,4,67,Stuart Schweigert,RAIDERS,DB,Purdue
2004,3,5,68,Ben Hartsock,COLTS,TE,Ohio State
2004,3,6,69,Gilbert Gardner,COLTS,LB,Purdue
2004,3,7,70,Joey Thomas,PACKERS,DB,Montana State
2004,3,8,71,Randy Starks,TITANS,DT,Maryland
2004,3,9,72,Donnell Washington,PACKERS,DT,Clemson
2004,3,10,73,Keith Smith,LIONS,DB,McNeese State
2004,3,11,74,Tim Anderson,BILLS,DT,Ohio State
2004,3,12,75,Max Starks,STEELERS, T,Florida
2004,3,13,76,Derrick Strait,JETS,DB,Oklahoma
2004,3,14,77,Derrick Hamilton,49ERS,WR,Clemson
2004,3,15,78,Bernard Berrian,BEARS,WR,Fresno State
2004,3,16,79,Marquis Cooper,BUCCANEERS,LB,Washington
2004,3,17,80,Caleb Miller,BENGALS,LB,Arkansas
2004,3,18,81,Chris Cooley,TEAM,TE,Utah State
2004,3,19,82,Devard Darling,RAVENS,WR,Washington State
2004,3,20,83,Stephen Peterman,COWBOYS, G,Louisiana State
2004,3,21,84,Sean Locklear,SEAHAWKS, G,North Carolina State
2004,3,22,85,Jeremy LeSueur,BRONCOS,DB,Michigan
2004,3,23,86,Jorge Cordova,JAGUARS,LB,Nevada
2004,3,24,87,B.J. Sander,PACKERS, P,Ohio State
2004,3,25,88,Darrion Scott,VIKINGS,DE,Ohio State
2004,3,26,89,Matt Ware,EAGLES,DB,UCLA
2004,3,27,90,Matt Schaub,FALCONS,QB,Virginia
2004,3,28,91,Tony Hargrove,RAMS,DE,Georgia Tech
2004,3,29,92,Rich Gardner,TITANS,DB,Penn State
2004,3,30,93,Keyaron Fox,CHIEFS,LB,Georgia Tech
2004,3,31,94,Travelle Wharton,PANTHERS, T,South Carolina
2004,3,32,95,Guss Scott,PATRIOTS,DB,Florida
2004,3,33,96,Landon Johnson,BENGALS,LB,Purdue
2004,4,1,97,Reggie Torbor,GIANTS,DE,Auburn
2004,4,2,98,Shaun Phillips,CHARGERS,DE,Purdue
2004,4,3,99,Carlos Francis,RAIDERS,WR,Texas Tech
2004,4,4,100,Alex Stepanovich,CARDINALS, C,Ohio State
2004,4,5,101,Demorrio Williams,FALCONS,LB,Nebraska
2004,4,6,102,Will Poole,DOLPHINS,DB,USC
2004,4,7,103,Bo Schobel,TITANS,DE,Texas Christian
2004,4,8,104,Isaac Sopoaga,49ERS,DT,Hawaii
2004,4,9,105,Samie Parker,CHIEFS,WR,Oregon
2004,4,10,106,Luke McCown,BROWNS,QB,Louisiana Tech
2004,4,11,107,Kendyll Pope,COLTS,LB,Florida State
2004,4,12,108,Jerricho Cotchery,JETS,WR,North Carolina State
2004,4,13,109,Tim Euhus,BILLS,TE,Oregon State
2004,4,14,110,Nathan Vasher,BEARS,DB,Texas
2004,4,15,111,Will Allen,BUCCANEERS,DB,Ohio State
2004,4,16,112,Leon Joe,BEARS,LB,Maryland
2004,4,17,113,Dexter Reid,PATRIOTS,DB,North Carolina
2004,4,18,114,Matthias Askew,BENGALS,DT,Michigan State
2004,4,19,115,Nat Dorsey,VIKINGS, T,Georgia Tech
2004,4,20,116,Niko Koutouvides,SEAHAWKS,LB,Purdue
2004,4,21,117,Robert Geathers,BENGALS,DE,Georgia
2004,4,22,118,Anthony Maddox,JAGUARS,DT,Delta State
2004,4,23,119,Mewelde Moore,VIKINGS,RB,Tulane
2004,4,24,120,Ernest Wilford,JAGUARS,WR,Virginia Tech
2004,4,25,121,Bruce Thornton,COWBOYS,DB,Georgia
2004,4,26,122,Glenn Earl,TEXANS,DB,Notre Dame
2004,4,27,123,Stacy Andrews,BENGALS, T,Mississippi
2004,4,28,124,Michael Waddell,TITANS,DB,North Carolina
2004,4,29,125,Jason David,COLTS,DB,Washington State
2004,4,30,126,Jared Allen,CHIEFS,DE,Idaho State
2004,4,31,127,Richard Seigler,49ERS,LB,Oregon State
2004,4,32,128,Cedric Cobbs,PATRIOTS,RB,Arkansas
2004,4,33,129,J.R. Reed,EAGLES,DB,South Florida
2004,4,34,130,Brandon Chillar,RAMS,LB,UCLA
2004,4,35,131,Trey Darilek,EAGLES, G,Texas-El Paso
2004,4,36,132,Adrian Jones,JETS, T,Kansas
2004,5,1,133,Dave Ball,CHARGERS,DE,UCLA
2004,5,2,134,Johnnie Morant,RAIDERS,WR,Syracuse
2004,5,3,135,Antonio Smith,CARDINALS,DE,Oklahoma State
2004,5,4,136,Gibril Wilson,GIANTS,DB,Tennessee
2004,5,5,137,Josh Scobee,JAGUARS, K,Louisiana Tech
2004,5,6,138,Jacob Bell,TITANS, G,Miami (OH)
2004,5,7,139,Rodney Leisle,SAINTS,DT,UCLA
2004,5,8,140,Alex Lewis,LIONS,LB,Wisconsin
2004,5,9,141,Jake Scott,COLTS, T,Idaho
2004,5,10,142,Chad Lavalais,FALCONS,DT,Louisiana State
2004,5,11,143,Erik Coleman,JETS,DB,Washington State
2004,5,12,144,Sean Ryan,COWBOYS,TE,Boston College
2004,5,13,145,Nathaniel Adibi,STEELERS,DE,Virginia Tech
2004,5,14,146,Jeb Terry,BUCCANEERS, G,North Carolina
2004,5,15,147,Claude Harriott,BEARS,DE,Pittsburgh
2004,5,16,148,Craig Krenzel,BEARS,QB,Ohio State
2004,5,17,149,Maurice Mann,BENGALS,WR,Nevada
2004,5,18,150,Chris Thompson,JAGUARS,DB,Nicholls State
2004,5,19,151,Mark Wilson,TEAM, T,California
2004,5,20,152,Jeff Shoate,BRONCOS,DB,San Diego State
2004,5,21,153,Roderick Green,RAVENS,LB,Central Missouri State
2004,5,22,154,Michael Turner,CHARGERS,RB,Northern Illinois
2004,5,23,155,Rod Davis,VIKINGS,LB,Southern Mississippi
2004,5,24,156,Mike Karney,SAINTS,RB,Arizona State
2004,5,25,157,D.J. Hackett,SEAHAWKS,WR,Colorado
2004,5,26,158,Jason Shivers,RAMS,DB,Arizona State
2004,5,27,159,Sean Bubin,JAGUARS, T,Illinois
2004,5,28,160,Tony Bua,DOLPHINS,DB,Arkansas
2004,5,29,161,Amon Gordon,BROWNS,DE,Stanford
2004,5,30,162,Thomas Tapeh,EAGLES,RB,Minnesota
2004,5,31,163,Drew Carter,PANTHERS,WR,Ohio State
2004,5,32,164,P.K. Sam,PATRIOTS,WR,Florida State
2004,5,33,165,Robert Reynolds,TITANS,LB,Ohio State
2004,6,1,166,Shawn Johnson,RAIDERS,DE,Delaware
2004,6,2,167,Nick Leckey,CARDINALS, C,Kansas State
2004,6,3,168,Jamaar Taylor,GIANTS,WR,Texas A&M
2004,6,4,169,Ryan Krause,CHARGERS,WR,Nebraska-Omaha
2004,6,5,170,Vontez Duff,TEXANS,DB,Notre Dame
2004,6,6,171,Triandos Luke,BRONCOS,WR,Alabama
2004,6,7,172,Kelly Butler,LIONS, T,Purdue
2004,6,8,173,Von Hutchins,COLTS,DB,Mississippi
2004,6,9,174,Rex Hadnot,DOLPHINS, C,Houston
2004,6,10,175,Jammal Lord,TEXANS,DB,Nebraska
2004,6,11,176,Kirk Chambers,BROWNS, G,Stanford
2004,6,12,177,Bo Lacy,STEELERS, T,Arkansas
2004,6,13,178,Marko Cavka,JETS, T,Sacramento State
2004,6,14,179,Corey Williams,PACKERS,DT,Arkansas State
2004,6,15,180,Jim Molinaro,TEAM, T,Notre Dame
2004,6,16,181,Nate Lawrie,BUCCANEERS,TE,Yale
2004,6,17,182,Cody Spencer,RAIDERS,LB,North Texas
2004,6,18,183,Greg Brooks,BENGALS,DB,Southern Mississippi
2004,6,19,184,Deandre Eiland\',VIKINGS,DB,South Carolina
2004,6,20,185,Andy Hall,EAGLES,QB,Delaware
2004,6,21,186,Etric Pruitt,FALCONS,DB,Southern Mississippi
2004,6,22,187,Josh Harris,RAVENS,QB,Bowling Green
2004,6,23,188,Andy Lee,49ERS, P,Pittsburgh
2004,6,24,189,Craig Terrill,SEAHAWKS,DT,Purdue
2004,6,25,190,Josh Sewell,BRONCOS, C,Nebraska
2004,6,26,191,Troy Fleming,TITANS,RB,Tennessee
2004,6,27,192,Dexter Wynn,EAGLES,DB,Colorado State
2004,6,28,193,Jim Sorgi,COLTS,QB,Wisconsin
2004,6,29,194,Matt Kranchick,STEELERS,TE,Penn State
2004,6,30,195,Jeris McIntyre,CHIEFS,WR,Auburn
2004,6,31,196,Sean Tufts,PANTHERS,LB,Colorado
2004,6,32,197,Drew Caylor,STEELERS, C,Stanford
2004,6,33,198,Keith Lewis,49ERS,DB,Oregon
2004,6,34,199,Clarence Moore,RAVENS,WR,Northern Arizona
2004,6,35,200,Charlie Anderson,TEXANS,LB,Mississippi
2004,6,36,201,Jeff Smoker,RAMS,QB,Michigan State
2004,7,1,202,John Navarre,CARDINALS,QB,Michigan
2004,7,2,203,Drew Strojny,GIANTS, T,Duke
2004,7,3,204,Ryon Bingham,CHARGERS,DT,Nebraska
2004,7,4,205,Nathan Jones,COWBOYS,DB,Rutgers
2004,7,5,206,Mark Jones,BUCCANEERS,WR,Tennessee
2004,7,6,207,Dylan McFarland,BILLS, T,Montana
2004,7,7,208,Adimchinobe Echemandu,BROWNS,RB,California
2004,7,8,209,Shane Olivea,CHARGERS, T,Ohio State
2004,7,9,210,Raheem Orr,TEXANS,DE,Rutgers
2004,7,10,211,Sloan Thomas,TEXANS,WR,Texas
2004,7,11,212,Eric Taylor,STEELERS,DT,Memphis
2004,7,12,213,Darrell McClover,JETS,LB,Miami (FL)
2004,7,13,214,Jonathan Smith,BILLS,RB,Georgia Tech
2004,7,14,215,Alfonso Marshall,BEARS,DB,Miami (FL)
2004,7,15,216,Patrick Crayton,COWBOYS,WR,Northwestern Oklahoma
2004,7,16,217,Cody Pickett,49ERS,QB,Washington
2004,7,17,218,Casey Bramlet,BENGALS,QB,Wyoming
2004,7,18,219,Quincy Wilson,FALCONS,RB,West Virginia
2004,7,19,220,Jeff Dugan,VIKINGS,TE,Maryland
2004,7,20,221,Tony Pape,DOLPHINS, G,Michigan
2004,7,21,222,Derrick Pope,DOLPHINS,LB,Alabama
2004,7,22,223,Jacques Reeves,COWBOYS,DB,Purdue
2004,7,23,224,Donnie Jones,SEAHAWKS, P,Louisiana State
2004,7,24,225,Matt Mauck,BRONCOS,QB,Louisiana State
2004,7,25,226,Christian Ferrara,49ERS,DT,Syracuse
2004,7,26,227,Adrien Clarke,EAGLES, G,Ohio State
2004,7,27,228,Casey Cramer,BUCCANEERS,RB,Dartmouth
2004,7,28,229,David Kimball,COLTS, K,Penn State
2004,7,29,230,Jared Clauss,TITANS,DT,Iowa
2004,7,30,231,Kevin Sampson,CHIEFS, T,Syracuse
2004,7,31,232,Michael Gaines,PANTHERS,TE,Central Florida
2004,7,32,233,Christian Morton,PATRIOTS,DB,Illinois
2004,7,33,234,Trevor Johnson,JETS,DE,Nebraska
2004,7,34,235,Derrick Ward,JETS,RB,Ottawa (KS)
2004,7,35,236,Rashad Washington,JETS,DB,Kansas State
2004,7,36,237,Erik Jensen,RAMS,TE,Iowa
2004,7,37,238,Larry Turner,RAMS, T,Eastern Kentucky
2004,7,38,239,Eugene Amano,TITANS, C,Southeast Missouri State
2004,7,39,240,Colby Bockwoldt,SAINTS,LB,Brigham Young
2004,7,40,241,Sean McHugh,TITANS,RB,Penn State
2004,7,41,242,Bruce Perry,EAGLES,RB,Maryland
2004,7,42,243,Dominic Furio,EAGLES, C,Nevada-Las Vegas
2004,7,43,244,Derek Abney,RAVENS,WR,Kentucky
2004,7,44,245,Courtney Anderson,RAIDERS,TE,San Jose State
2004,7,45,246,Brian Rimpf,RAVENS, T,East Carolina
2004,7,46,247,Brandon Miree,BRONCOS,RB,Pittsburgh
2004,7,47,248,B.J. Symons,TEXANS,QB,Texas Tech
2004,7,48,249,Bobby McCray,JAGUARS,DE,Florida
2004,7,49,250,Bradlee Van Pelt,BRONCOS,QB,Colorado State
2004,7,50,251,Scott Wells,PACKERS, C,Tennessee
2004,7,51,252,Lenny Williams,BUCCANEERS,DB,Southern
2004,7,52,253,Isaac Hilton,GIANTS,DE,Hampton
2004,7,53,254,Carlos Joseph,CHARGERS, T,Miami (FL)
2004,7,54,255,Andre Sommersell,RAIDERS,LB,Colorado State
2005,1,1,1,Alex Smith,49ERS,QB,Utah
2005,1,2,2,Ronnie Brown,DOLPHINS,RB,Auburn
2005,1,3,3,Braylon Edwards,BROWNS,WR,Michigan
2005,1,4,4,Cedric Benson,BEARS,RB,Texas
2005,1,5,5,Cadillac Williams,BUCCANEERS,RB,Auburn
2005,1,6,6,Adam Jones,TITANS,DB,West Virginia
2005,1,7,7,Troy Williamson,VIKINGS,WR,South Carolina
2005,1,8,8,Antrel Rolle,CARDINALS,DB,Miami (FL)
2005,1,9,9,Carlos Rogers,TEAM,DB,Auburn
2005,1,10,10,Mike Williams,LIONS,WR,USC
2005,1,11,11,Demarcus Ware,COWBOYS,DE,Troy
2005,1,12,12,Shawne Merriman,CHARGERS,LB,Maryland
2005,1,13,13,Jammal Brown,SAINTS, T,Oklahoma
2005,1,14,14,Thomas Davis,PANTHERS,DB,Georgia
2005,1,15,15,Derrick O. Johnson,CHIEFS,LB,Texas
2005,1,16,16,Travis Johnson,TEXANS,DT,Florida State
2005,1,17,17,David Pollack,BENGALS,DE,Georgia
2005,1,18,18,Erasmus James,VIKINGS,DE,Wisconsin
2005,1,19,19,Alex Barron,RAMS, T,Florida State
2005,1,20,20,Marcus Spears,COWBOYS,DE,Louisiana State
2005,1,21,21,Matt Jones,JAGUARS,WR,Arkansas
2005,1,22,22,Mark Clayton,RAVENS,WR,Oklahoma
2005,1,23,23,Fabian Washington,RAIDERS,DB,Nebraska
2005,1,24,24,Aaron Rodgers,PACKERS,QB,California
2005,1,25,25,Jason Campbell,TEAM,QB,Auburn
2005,1,26,26,Chris Spencer,SEAHAWKS, C,Mississippi
2005,1,27,27,Roddy White,FALCONS,WR,Alabama-Birmingham
2005,1,28,28,Luis Castillo,CHARGERS,DT,Northwestern
2005,1,29,29,Marlin Jackson,COLTS,DB,Michigan
2005,1,30,30,Heath Miller,STEELERS,TE,Virginia
2005,1,31,31,Mike Patterson,EAGLES,DT,USC
2005,1,32,32,Logan Mankins,PATRIOTS, G,Fresno State
2005,2,1,33,David Baas,49ERS, C,Michigan
2005,2,2,34,Brodney Pool,BROWNS,DB,Oklahoma
2005,2,3,35,Reggie Brown,EAGLES,WR,Georgia
2005,2,4,36,Barrett Ruud,BUCCANEERS,LB,Nebraska
2005,2,5,37,Shaun Cody,LIONS,DT,USC
2005,2,6,38,Stanford Routt,RAIDERS,DB,Houston
2005,2,7,39,Mark Bradley,BEARS,WR,Oklahoma
2005,2,8,40,Josh Bullocks,SAINTS,DB,Nebraska
2005,2,9,41,Michael Roos,TITANS, T,Eastern Washington
2005,2,10,42,Kevin Burnett,COWBOYS,LB,Tennessee
2005,2,11,43,Corey Webster,GIANTS,DB,Louisiana State
2005,2,12,44,J.J. Arrington,CARDINALS,RB,California
2005,2,13,45,Lofa Tatupu,SEAHAWKS,LB,USC
2005,2,14,46,Matt Roth,DOLPHINS,DE,Iowa
2005,2,15,47,Mike Nugent,JETS, K,Ohio State
2005,2,16,48,Odell Thurman,BENGALS,LB,Georgia
2005,2,17,49,Marcus Johnson,VIKINGS, T,Mississippi
2005,2,18,50,Ronald Bartell,RAMS,DB,Howard
2005,2,19,51,Nick Collins,PACKERS,DB,Bethune-Cookman
2005,2,20,52,Khalif Barnes,JAGUARS, T,Washington
2005,2,21,53,Dan Cody,RAVENS,DE,Oklahoma
2005,2,22,54,Eric Shelton,PANTHERS,RB,Louisville
2005,2,23,55,Roscoe Parrish,BILLS,WR,Miami (FL)
2005,2,24,56,Darrent Williams,BRONCOS,DB,Oklahoma State
2005,2,25,57,Justin Miller,JETS,DB,Clemson
2005,2,26,58,Terrence Murphy,PACKERS,WR,Texas A&M
2005,2,27,59,Jonathan Babineaux,FALCONS,DT,Iowa
2005,2,28,60,Kelvin Hayden,COLTS,DB,Illinois
2005,2,29,61,Vincent Jackson,CHARGERS,WR,Northern Colorado
2005,2,30,62,Bryant McFadden,STEELERS,DB,Florida State
2005,2,31,63,Matt McCoy,EAGLES,LB,San Diego State
2005,2,32,64,Adam Terry,RAVENS, T,Syracuse
2005,3,1,65,Frank Gore,49ERS,RB,Miami (FL)
2005,3,2,66,Oshiomogho Atogwe,RAMS,DB,Stanford
2005,3,3,67,Charlie Frye,BROWNS,QB,Akron
2005,3,4,68,Courtney Roby,TITANS,WR,Indiana
2005,3,5,69,Andrew Walter,RAIDERS,QB,Arizona State
2005,3,6,70,Channing Crowder,DOLPHINS,LB,Florida
2005,3,7,71,Alex Smith,BUCCANEERS,TE,Stanford
2005,3,8,72,Stanley Wilson,LIONS,DB,Stanford
2005,3,9,73,Vernand Morency,TEXANS,RB,Oklahoma State
2005,3,10,74,Justin Tuck,GIANTS,DE,Notre Dame
2005,3,11,75,Eric Green,CARDINALS,DB,Virginia Tech
2005,3,12,76,Karl Paymah,BRONCOS,DB,Washington State
2005,3,13,77,Ryan Moats,EAGLES,RB,Louisiana Tech
2005,3,14,78,Kirk Morrison,RAIDERS,LB,San Diego State
2005,3,15,79,Evan Mathis,PANTHERS, G,Alabama
2005,3,16,80,Dustin Fox,VIKINGS,DB,Ohio State
2005,3,17,81,Richie Incognito,RAMS, C,Nebraska
2005,3,18,82,Alfred Fincher,SAINTS,LB,Connecticut
2005,3,19,83,Chris Henry,BENGALS,WR,West Virginia
2005,3,20,84,Ellis Hobbs,PATRIOTS,DB,Iowa State
2005,3,21,85,David Greene,SEAHAWKS,QB,Georgia
2005,3,22,86,Kevin Everett,BILLS,TE,Miami (FL)
2005,3,23,87,Scott Starks,JAGUARS,DB,Wisconsin
2005,3,24,88,Sione Pouha,JETS,DT,Utah
2005,3,25,89,Atiyyah Ellison,PANTHERS,DT,Missouri
2005,3,26,90,Jordan Beck,FALCONS,LB,Cal Poly
2005,3,27,91,Chris Colmer,BUCCANEERS, T,North Carolina State
2005,3,28,92,Vincent Burns,COLTS,DE,Kentucky
2005,3,29,93,Trai Essex,STEELERS, T,Northwestern
2005,3,30,94,Adam Snyder,49ERS, G,Oregon
2005,3,31,95,Darryl Blackstock,CARDINALS,LB,Virginia
2005,3,32,96,Brandon Jones,TITANS,WR,Oklahoma
2005,3,33,97,Domonique Foxworth,BRONCOS,DB,Maryland
2005,3,34,98,Leroy Hill,SEAHAWKS,LB,Clemson
2005,3,35,99,Dustin Colquitt,CHIEFS, P,Tennessee
2005,3,36,100,Nick Kaczur,PATRIOTS, G,Toledo
2005,3,37,101,Maurice Clarett,BRONCOS,RB,Ohio State
2005,4,1,102,Sean Considine,EAGLES,DB,Iowa
2005,4,2,103,Antonio Perkins,BROWNS,DB,Oklahoma
2005,4,3,104,Travis Daniels,DOLPHINS,DB,Louisiana State
2005,4,4,105,Ray Willis,SEAHAWKS, T,Florida State
2005,4,5,106,Kyle Orton,BEARS,QB,Purdue
2005,4,6,107,Dan Buenning,BUCCANEERS, G,Wisconsin
2005,4,7,108,Vincent Fuller,TITANS,DB,Virginia Tech
2005,4,8,109,Marion Barber,COWBOYS,RB,Minnesota
2005,4,9,110,Brandon Jacobs,GIANTS,RB,Southern Illinois
2005,4,10,111,Elton Brown,CARDINALS, G,Virginia
2005,4,11,112,Ciatrick Fason,VIKINGS,RB,Florida
2005,4,12,113,David Stewart,TITANS, T,Mississippi State
2005,4,13,114,Jerome Mathis,TEXANS,WR,Hampton
2005,4,14,115,Marviel Underwood,PACKERS,DB,San Diego State
2005,4,15,116,Craphonso Thorpe,CHIEFS,WR,Florida State
2005,4,16,117,Jerome Carter,RAMS,DB,Florida State
2005,4,17,118,Chase Lyman,SAINTS,WR,California
2005,4,18,119,Eric Ghiaciuc,BENGALS, C,Central Michigan
2005,4,19,120,Manuel White,TEAM,RB,UCLA
2005,4,20,121,Stefan Lefors,PANTHERS,QB,Louisville
2005,4,21,122,Duke Preston,BILLS, C,Illinois
2005,4,22,123,Kerry Rhodes,JETS,DB,Louisville
2005,4,23,124,Jason Brown,RAVENS, C,North Carolina
2005,4,24,125,Brady Poppinga,PACKERS,LB,Brigham Young
2005,4,25,126,Todd Herremans,EAGLES, T,Saginaw Valley State
2005,4,26,127,Alvin Pearman,JAGUARS,RB,Virginia
2005,4,27,128,Chauncey Davis,FALCONS,DE,Florida State
2005,4,28,129,Dylan Gandy,COLTS, G,Texas Tech
2005,4,29,130,Darren Sproles,CHARGERS,RB,Kansas State
2005,4,30,131,Fred Gibson,STEELERS,WR,Georgia
2005,4,31,132,Chris Canty,COWBOYS,DE,Virginia
2005,4,32,133,James Sanders,PATRIOTS,DB,Fresno State
2005,4,33,134,Claude Terrell,RAMS, G,New Mexico
2005,4,34,135,Matt Giordano,COLTS,DB,California
2005,4,35,136,Roydell Williams,TITANS,WR,Tulane
2005,5,1,137,Ronald Fields,49ERS,DT,Mississippi State
2005,5,2,138,Boomer Grigsby,CHIEFS,LB,Illinois State
2005,5,3,139,David McMillan,BROWNS,DE,Kansas
2005,5,4,140,Airese Currie,BEARS,WR,Clemson
2005,5,5,141,Donte Nicholson,BUCCANEERS,DB,Oklahoma
2005,5,6,142,Damien Nash,TITANS,RB,Missouri
2005,5,7,143,Junius Coston,PACKERS, C,North Carolina A&T
2005,5,8,144,Jerome Collins,RAMS,TE,Notre Dame
2005,5,9,145,Dan Orlovsky,LIONS,QB,Connecticut
2005,5,10,146,Trent Cole,EAGLES,LB,Cincinnati
2005,5,11,147,Alphonso Hodge,CHIEFS,DB,Miami (OH)
2005,5,12,148,Jonathan Welsh,COLTS,DE,Wisconsin
2005,5,13,149,Adam Seward,PANTHERS,LB,Nevada-Las Vegas
2005,5,14,150,Daniel Loper,TITANS, T,Texas Tech
2005,5,15,151,Drew Hodgdon,TEXANS, C,Arizona State
2005,5,16,152,Adrian McPherson,SAINTS,QB,Florida State
2005,5,17,153,Adam Kieft,BENGALS, T,Central Michigan
2005,5,18,154,Robert McCune,TEAM,LB,Louisville
2005,5,19,155,Larry Brackins,BUCCANEERS,WR,Pearl River C.C.
2005,5,20,156,Eric King,BILLS,DB,Wake Forest
2005,5,21,157,Gerald Sensabaugh,JAGUARS,DB,North Carolina
2005,5,22,158,Justin Green,RAVENS,RB,Montana
2005,5,23,159,Jeb Huckeba,SEAHAWKS,LB,Arkansas
2005,5,24,160,Michael Boley,FALCONS,LB,Southern Mississippi
2005,5,25,161,Andre Maddox,JETS,DB,North Carolina State
2005,5,26,162,Anthony Alabi,DOLPHINS, T,Texas Christian
2005,5,27,163,Frank Omiyale,FALCONS, T,Tennessee Tech
2005,5,28,164,Wesley Britt,CHARGERS, T,Alabama
2005,5,29,165,Robert Hunt,COLTS, C,North Dakota State
2005,5,30,166,Rian Wallace,STEELERS,LB,Temple
2005,5,31,167,Michael Hawkins,PACKERS,DB,Oklahoma
2005,5,32,168,Lance Mitchell,CARDINALS,LB,Oklahoma
2005,5,33,169,Geoff Hangartner,PANTHERS, C,Texas A&M
2005,5,34,170,Ryan Claridge,PATRIOTS,LB,Nevada-Las Vegas
2005,5,35,171,Ben Emanuel,PANTHERS,DB,UCLA
2005,5,36,172,Scott Young,EAGLES, G,Brigham Young
2005,5,37,173,Tyjuan Hagler,COLTS,LB,Cincinnati
2005,5,38,174,Rasheed Marshall,49ERS,WR,West Virginia
2005,6,1,175,Anttaj Hawthorne,RAIDERS,DT,Wisconsin
2005,6,2,176,Nick Speegle,BROWNS,LB,New Mexico
2005,6,3,177,Wes Sims,CHARGERS, G,Oklahoma
2005,6,4,178,Anthony Bryant,BUCCANEERS,DT,Alabama
2005,6,5,179,Bo Scaife,TITANS,TE,Texas
2005,6,6,180,Mike Montgomery,PACKERS,DT,Texas A&M
2005,6,7,181,Chris Harris,BEARS,DB,Louisiana-Monroe
2005,6,8,182,Cedric Houston,JETS,RB,Tennessee
2005,6,9,183,Jared Newberry,TEAM,LB,Stanford
2005,6,10,184,Bill Swancutt,LIONS,DE,Oregon State
2005,6,11,185,Chad Owens,JAGUARS,WR,Hawaii
2005,6,12,186,Eric Moore,GIANTS,DE,Florida State
2005,6,13,187,Will Svitek,CHIEFS, T,Stanford
2005,6,14,188,Ceandris Brown,TEXANS,DB,Louisiana-Lafayette
2005,6,15,189,Jovan Haye,PANTHERS,DE,Vanderbilt
2005,6,16,190,Tab Perry,BENGALS,WR,UCLA
2005,6,17,191,C.J. Mosley,VIKINGS,DT,Missouri
2005,6,18,192,Dante Ridgeway,RAMS,WR,Ball State
2005,6,19,193,Jason Jefferson,SAINTS,DT,Wisconsin
2005,6,20,194,Pat Thomas,JAGUARS,LB,North Carolina State
2005,6,21,195,Craig Bragg,PACKERS,WR,UCLA
2005,6,22,196,Tony Jackson,SEAHAWKS,TE,Iowa
2005,6,23,197,Justin Geisinger,BILLS, G,Vanderbilt
2005,6,24,198,Joel Dreessen,JETS,TE,Colorado State
2005,6,25,199,Khari Long,CHIEFS,DE,Baylor
2005,6,26,200,Chris Myers,BRONCOS, G,Miami (FL)
2005,6,27,201,Deandra Cobb,FALCONS,RB,Michigan State
2005,6,28,202,Dave Rayner,COLTS, K,Michigan State
2005,6,29,203,Andrew Hoffman,BROWNS,DT,Virginia
2005,6,30,204,Chris Kemoeatu,STEELERS, G,Utah
2005,6,31,205,Derrick Johnson,49ERS,DB,Washington
2005,6,32,206,Jonathan Goddard,LIONS,DE,Marshall
2005,6,33,207,Joe Berger,PANTHERS, T,Michigan Tech
2005,6,34,208,Justin Beriault,COWBOYS,DB,Ball State
2005,6,35,209,Rob Petitti,COWBOYS, T,Pittsburgh
2005,6,36,210,Reggie Hodges,RAMS, P,Ball State
2005,6,37,211,Calvin Armstrong,EAGLES, T,Washington State
2005,6,38,212,Ryan Riddle,RAIDERS,DE,California
2005,6,39,213,Derek Anderson,RAVENS,QB,Oregon State
2005,6,40,214,Pete McMahon,RAIDERS, T,Iowa
2005,7,1,215,Daven Holly,49ERS,DB,Cincinnati
2005,7,2,216,Kevin Vickerson,DOLPHINS,DT,Michigan State
2005,7,3,217,Jon Dunn,BROWNS, T,Virginia Tech
2005,7,4,218,Reynaldo Hill,TITANS,DB,Florida
2005,7,5,219,Adrian Ward,VIKINGS,DB,Texas-El Paso
2005,7,6,220,Rodriques Wilson,BEARS,DB,South Carolina
2005,7,7,221,Rick Razzano,BUCCANEERS,RB,Mississippi
2005,7,8,222,Nehemiah Broughton,TEAM,RB,Citadel
2005,7,9,223,Marcus Maxwell,49ERS,WR,Oregon
2005,7,10,224,Jay Ratliff,COWBOYS,DE,Auburn
2005,7,11,225,Paris Warren,BUCCANEERS,WR,Utah
2005,7,12,226,LeRon McCoy,CARDINALS,WR,Indiana (PA)
2005,7,13,227,Kenneth Pettway,TEXANS,LB,Grambling State
2005,7,14,228,Shaun Nua,STEELERS,DE,Brigham Young
2005,7,15,229,James Kilian,CHIEFS,QB,Tulsa
2005,7,16,230,Matt Cassel,PATRIOTS,QB,USC
2005,7,17,231,Hamza Abdullah,BUCCANEERS,DB,Washington State
2005,7,18,232,Jimmy Verdon,SAINTS,DT,Arizona State
2005,7,19,233,Jonathan Fanene,BENGALS,DE,Utah
2005,7,20,234,Mike Smith,RAVENS,LB,Texas Tech
2005,7,21,235,Cornelius Wortham,SEAHAWKS,LB,Alabama
2005,7,22,236,Lionel Gates,BILLS,RB,Louisville
2005,7,23,237,Chris Roberson,JAGUARS,DB,Eastern Michigan
2005,7,24,238,Jeremy Parquet,CHIEFS, T,Southern Mississippi
2005,7,25,239,Paul Ernster,BRONCOS, K,Northern Arizona
2005,7,26,240,Harry Williams,JETS,WR,Tuskegee
2005,7,27,241,Darrell Shropshire,FALCONS,DT,South Carolina
2005,7,28,242,Scott Mruczkowski,CHARGERS, C,Bowling Green
2005,7,29,243,Anthony Davis,COLTS,RB,Wisconsin
2005,7,30,244,Noah Herron,STEELERS,RB,Northwestern
2005,7,31,245,Kurt Campbell,PACKERS,DB,Albany State
2005,7,32,246,William Whitticker,PACKERS, G,Michigan State
2005,7,33,247,Keyonta Marshall,EAGLES,DT,Grand Valley State
2005,7,34,248,Patrick Estes,49ERS,TE,Virginia
2005,7,35,249,Billy Bajema,49ERS,TE,Oklahoma State
2005,7,36,250,Ryan Fitzpatrick,RAMS,QB,Harvard
2005,7,37,251,Madison Hedgecock,RAMS,RB,North Carolina
2005,7,38,252,David Bergeron,EAGLES,LB,Stanford
2005,7,39,253,J.R. Russell,BUCCANEERS,WR,Louisville
2005,7,40,254,Doug Nienhuis,SEAHAWKS, T,Oregon State
2005,7,41,255,Andy Stokes,PATRIOTS,TE,William Penn
2006,1,1,1,Mario Williams,TEXANS,DE,North Carolina State
2006,1,2,2,Reggie Bush,SAINTS,RB,USC
2006,1,3,3,Vince Young,TITANS,QB,Texas
2006,1,4,4,D\'Brickashaw Ferguson,JETS, T,Virginia
2006,1,5,5,A.J. Hawk,PACKERS,LB,Ohio State
2006,1,6,6,Vernon Davis,49ERS,TE,Maryland
2006,1,7,7,Michael Huff,RAIDERS,DB,Texas
2006,1,8,8,Donte Whitner,BILLS,DB,Ohio State
2006,1,9,9,Ernie Sims,LIONS,LB,Florida State
2006,1,10,10,Matt Leinart,CARDINALS,QB,USC
2006,1,11,11,Jay Cutler,BRONCOS,QB,Vanderbilt
2006,1,12,12,Haloti Ngata,RAVENS,DT,Oregon
2006,1,13,13,Kamerion Wimbley,BROWNS,LB,Florida State
2006,1,14,14,Brodrick Bunkley,EAGLES,DT,Florida State
2006,1,15,15,Tye Hill,RAMS,DB,Clemson
2006,1,16,16,Jason Allen,DOLPHINS,DB,Tennessee
2006,1,17,17,Chad Greenway,VIKINGS,LB,Iowa
2006,1,18,18,Bobby Carpenter,COWBOYS,LB,Ohio State
2006,1,19,19,Antonio Cromartie,CHARGERS,DB,Florida State
2006,1,20,20,Tamba Hali,CHIEFS,DE,Penn State
2006,1,21,21,Laurence Maroney,PATRIOTS,RB,Minnesota
2006,1,22,22,Manny Lawson,49ERS,LB,North Carolina State
2006,1,23,23,Davin Joseph,BUCCANEERS, G,Oklahoma
2006,1,24,24,Johnathan Joseph,BENGALS,DB,South Carolina
2006,1,25,25,Santonio Holmes,STEELERS,WR,Ohio State
2006,1,26,26,John McCargo,BILLS,DT,North Carolina State
2006,1,27,27,DeAngelo Williams,PANTHERS,RB,Memphis
2006,1,28,28,Marcedes Lewis,JAGUARS,TE,UCLA
2006,1,29,29,Nick Mangold,JETS, C,Ohio State
2006,1,30,30,Joseph Addai,COLTS,RB,Louisiana State
2006,1,31,31,Kelly Jennings,SEAHAWKS,DB,Miami (FL)
2006,1,32,32,Mathias Kiwanuka,GIANTS,DE,Boston College
2006,2,1,33,DeMeco Ryans,TEXANS,LB,Alabama
2006,2,2,34,D\'Qwell Jackson,BROWNS,LB,Maryland
2006,2,3,35,Roger (Rocky) McIntosh,TEAM,LB,Miami (FL)
2006,2,4,36,Chad Jackson,PATRIOTS,WR,Florida
2006,2,5,37,Jimmy Williams,FALCONS,DB,Virginia Tech
2006,2,6,38,Thomas Howard,RAIDERS,LB,Texas-El Paso
2006,2,7,39,Winston Justice,EAGLES, T,USC
2006,2,8,40,Daniel Bullocks,LIONS,DB,Nebraska
2006,2,9,41,Taitusi (Deuce) Lutui,CARDINALS, G,USC
2006,2,10,42,Danieal Manning,BEARS,DB,Abilene Christian
2006,2,11,43,Roman Harper,SAINTS,DB,Alabama
2006,2,12,44,Sinorice Moss,GIANTS,WR,Miami (FL)
2006,2,13,45,LenDale White,TITANS,RB,USC
2006,2,14,46,Joe Klopfenstein,RAMS,TE,Colorado
2006,2,15,47,Daryn Colledge,PACKERS, T,Boise State
2006,2,16,48,Cedric Griffin,VIKINGS,DB,Texas
2006,2,17,49,Kellen Clemens,JETS,QB,Oregon
2006,2,18,50,Marcus McNeill,CHARGERS, T,Auburn
2006,2,19,51,Ryan Cook,VIKINGS, C,New Mexico
2006,2,20,52,Greg Jennings,PACKERS,WR,Western Michigan
2006,2,21,53,Anthony Fasano,COWBOYS,TE,Notre Dame
2006,2,22,54,Bernard Pollard,CHIEFS,DB,Purdue
2006,2,23,55,Andrew Whitworth,BENGALS, T,Louisiana State
2006,2,24,56,Chris Chester,RAVENS, C,Oklahoma
2006,2,25,57,Devin Hester,BEARS,WR,Miami (FL)
2006,2,26,58,Richard Marshall,PANTHERS,DB,Fresno State
2006,2,27,59,Jeremy Trueblood,BUCCANEERS, T,Boston College
2006,2,28,60,Maurice Jones-Drew,JAGUARS,RB,UCLA
2006,2,29,61,Tony Scheffler,BRONCOS,TE,Western Michigan
2006,2,30,62,Tim Jennings,COLTS,DB,Georgia
2006,2,31,63,Darryl Tapp,SEAHAWKS,DE,Virginia Tech
2006,2,32,64,Tarvaris Jackson,VIKINGS,QB,Alabama State
2006,3,1,65,Charles Spencer,TEXANS, T,Pittsburgh
2006,3,2,66,Eric Winston,TEXANS, T,Miami (FL)
2006,3,3,67,Abdul Hodge,PACKERS,LB,Iowa
2006,3,4,68,Claude Wroten,RAMS,DT,Louisiana State
2006,3,5,69,Paul McQuistan,RAIDERS, G,Weber State
2006,3,6,70,Ashton Youboty,BILLS,DB,Ohio State
2006,3,7,71,Chris Gocong,EAGLES,DE,Cal Poly
2006,3,8,72,Leonard Pope,CARDINALS,TE,Georgia
2006,3,9,73,Dusty Dvoracek,BEARS,DT,Oklahoma
2006,3,10,74,Brian Calhoun,LIONS,RB,Wisconsin
2006,3,11,75,Jason Spitz,PACKERS, C,Louisville
2006,3,12,76,Anthony Schlegel,JETS,LB,Ohio State
2006,3,13,77,Jon Alston,RAMS,LB,Stanford
2006,3,14,78,Travis Wilson,BROWNS,WR,Oklahoma
2006,3,15,79,Jerious Norwood,FALCONS,RB,Mississippi State
2006,3,16,80,Clint Ingram,JAGUARS,LB,Oklahoma
2006,3,17,81,Charlie Whitehurst,CHARGERS,QB,Clemson
2006,3,18,82,Derek Hagan,DOLPHINS,WR,Arizona State
2006,3,19,83,Anthony Smith,STEELERS,DB,Syracuse
2006,3,20,84,Brandon Williams,49ERS,WR,Wisconsin
2006,3,21,85,Brodie Croyle,CHIEFS,QB,Alabama
2006,3,22,86,Dave Thomas,PATRIOTS,TE,Texas
2006,3,23,87,David Pittman,RAVENS,DB,Northwestern State (LA)
2006,3,24,88,James Anderson,PANTHERS,LB,Virginia Tech
2006,3,25,89,Rashad Butler,PANTHERS, T,Miami (FL)
2006,3,26,90,Maurice Stovall,BUCCANEERS,WR,Notre Dame
2006,3,27,91,Frostee Rucker,BENGALS,DE,USC
2006,3,28,92,Jason Hatcher,COWBOYS,DE,Grambling State
2006,3,29,93,Dominique Byrd,RAMS,TE,USC
2006,3,30,94,Freddie Keiaho,COLTS,LB,San Diego State
2006,3,31,95,Willie Reid,STEELERS,WR,Florida State
2006,3,32,96,Gerris Wilkinson,GIANTS,LB,Georgia Tech
2006,3,33,97,Eric Smith,JETS,DB,Michigan State
2006,4,1,98,Owen Daniels,TEXANS,TE,Wisconsin
2006,4,2,99,Max Jean-Gilles,EAGLES, G,Georgia
2006,4,3,100,Michael Robinson,49ERS,RB,Penn State
2006,4,4,101,Darnell Bing,RAIDERS,DB,USC
2006,4,5,102,Calvin Lowry,TITANS,DB,Penn State
2006,4,6,103,Brad Smith,JETS,WR,Missouri
2006,4,7,104,Cory Rodgers,PACKERS,WR,Texas Christian
2006,4,8,105,Ko Simpson,BILLS,DB,South Carolina
2006,4,9,106,Garrett Mills,PATRIOTS,TE,Tulsa
2006,4,10,107,Gabriel Watson,CARDINALS,DT,Michigan
2006,4,11,108,Jahri Evans,SAINTS, T,Bloomsburg (PA)
2006,4,12,109,Jason Avant,EAGLES,WR,Michigan
2006,4,13,110,Leon Williams,BROWNS,LB,Miami (FL)
2006,4,14,111,Demetrius Williams,RAVENS,WR,Oregon
2006,4,15,112,Isaac Sowells,BROWNS, G,Indiana
2006,4,16,113,Victor Adeyanju,RAMS,DE,Indiana
2006,4,17,114,Joe Toledo,DOLPHINS, T,Washington
2006,4,18,115,Will Blackmon,PACKERS,WR,Boston College
2006,4,19,116,Stephen Tulloch,TITANS,LB,North Carolina State
2006,4,20,117,Leon Washington,JETS,RB,Florida State
2006,4,21,118,Stephen Gostkowski,PATRIOTS, K,Memphis
2006,4,22,119,Brandon Marshall,BRONCOS,WR,Central Florida
2006,4,23,120,Jamar Williams,BEARS,LB,Arizona State
2006,4,24,121,Nate Salley,PANTHERS,DB,Ohio State
2006,4,25,122,Alan Zemaitis,BUCCANEERS,DB,Penn State
2006,4,26,123,Domata Peko,BENGALS,DT,Michigan State
2006,4,27,124,Barry Cofield,GIANTS,DT,Northwestern
2006,4,28,125,Skyler Green,COWBOYS,WR,Louisiana State
2006,4,29,126,Elvis Dumervil,BRONCOS,DE,Louisville
2006,4,30,127,Ray Edwards,VIKINGS,DE,Purdue
2006,4,31,128,Rob Sims,SEAHAWKS, G,Ohio State
2006,4,32,129,Guy Whimper,GIANTS, T,East Carolina
2006,4,33,130,Domenik Hixon,BRONCOS,WR,Akron
2006,4,34,131,Willie Colon,STEELERS, G,Hofstra
2006,4,35,132,P.J. Daniels,RAVENS,RB,Georgia Tech
2006,4,36,133,Orien Harris,STEELERS,DT,Miami (FL)
2006,5,1,134,Kyle Williams,BILLS,DT,Louisiana State
2006,5,2,135,Rob Ninkovich,SAINTS,DE,Purdue
2006,5,3,136,Ryan O\'Callaghan,PATRIOTS, G,California
2006,5,4,137,Terna Nande,TITANS,LB,Miami (OH)
2006,5,5,138,Pat Watkins,COWBOYS,DB,Florida State
2006,5,6,139,Quinn Ojinnaka,FALCONS, T,Syracuse
2006,5,7,140,Parys Haralson,49ERS,DE,Tennessee
2006,5,8,141,Jonathan Scott,LIONS, T,Texas
2006,5,9,142,Brandon Johnson,CARDINALS,LB,Louisville
2006,5,10,143,Brad Butler,BILLS, T,Virginia
2006,5,11,144,Marques Hagans,RAMS,WR,Virginia
2006,5,12,145,Jerome Harrison,BROWNS,RB,Washington State
2006,5,13,146,Dawan Landry,RAVENS,DB,Georgia Tech
2006,5,14,147,Jeremy Bloom,EAGLES,WR,Colorado
2006,5,15,148,Ingle Martin,PACKERS,QB,Furman
2006,5,17,149,Greg Blue,VIKINGS,DB,Georgia
2006,5,18,150,Jason Pociask,JETS,TE,Wisconsin
2006,5,19,151,Tim Dobbins,CHARGERS,LB,Iowa State
2006,5,20,152,DeMario Minter,BROWNS,DB,Georgia
2006,5,21,153,Anthony Montgomery,TEAM,DT,Minnesota
2006,5,22,154,Marcus Maxey,CHIEFS,DB,Miami (FL)
2006,5,23,155,Jeff King,PANTHERS,TE,Virginia Tech
2006,5,24,156,Julian Jenkins,BUCCANEERS,DE,Stanford
2006,5,25,157,A. J. Nicholson,BENGALS,LB,Florida State
2006,5,26,158,Charlie Peprah,GIANTS,DB,Alabama
2006,5,27,159,Mark Anderson,BEARS,DE,Alabama
2006,5,28,160,Brent Hawkins,JAGUARS,DE,Illinois State
2006,5,29,161,Chris Kuper,BRONCOS, G,North Dakota
2006,5,30,162,Michael Toudouze,COLTS, G,Texas Christian
2006,5,31,163,David Kirtman,SEAHAWKS,RB,USC
2006,5,32,164,Omar Jacobs,STEELERS,QB,Bowling Green
2006,5,33,165,Tony Moll,PACKERS, T,Nevada
2006,5,34,166,Quinn Sypniewski,RAVENS,TE,Colorado
2006,5,35,167,Charles Davis,STEELERS,TE,Purdue
2006,5,36,168,Omar Gaither,EAGLES,LB,Tennessee
2006,5,37,169,Jesse Mahelona,TITANS,DT,Tennessee
2006,6,1,170,Wali Lundy,TEXANS,RB,Virginia
2006,6,2,171,Mike Hass,SAINTS,WR,Oregon State
2006,6,3,172,Jonathan Orr,TITANS,WR,Wisconsin
2006,6,4,173,Reed Doughty,TEAM,DB,Northern Colorado
2006,6,5,174,Josh (Bernard) Lay,SAINTS,DB,Pittsburgh
2006,6,6,175,Delanie Walker,49ERS,WR,Central Missouri State
2006,6,7,176,Kevin Boothe,RAIDERS, T,Cornell
2006,6,8,177,Jon Lewis,CARDINALS,DT,Virginia Tech
2006,6,9,178,Keith Ellison,BILLS,LB,Oregon State
2006,6,10,179,Alton (Dee) McCann,LIONS,DB,West Virginia
2006,6,11,180,Lawrence Vickers,BROWNS,RB,Colorado
2006,6,12,181,Baba Oshinowo,BROWNS,DT,Stanford
2006,6,13,182,Montavious Stanley,COWBOYS,DT,Louisville
2006,6,14,183,Johnny Jolly,PACKERS,DT,Texas A&M
2006,6,15,184,Adam Jennings,FALCONS,WR,Fresno State
2006,6,16,185,Tyrone Culver,PACKERS,DB,Fresno State
2006,6,17,186,Tre\' Stallings,CHIEFS, G,Mississippi
2006,6,18,187,Jeromey Clary,CHARGERS, T,Kansas State
2006,6,19,188,Kurt Smith,CHARGERS, K,Virginia
2006,6,20,189,Drew Coleman,JETS,DB,Texas Christian
2006,6,21,190,Jeff Webb,CHIEFS,WR,San Diego State
2006,6,22,191,Jeremy Mincey,PATRIOTS,DE,Florida
2006,6,23,192,Marcus Hudson,49ERS,DB,North Carolina State
2006,6,24,193,Reggie McNeal,BENGALS,QB,Texas A&M
2006,6,25,194,Bruce Gradkowski,BUCCANEERS,QB,Toledo
2006,6,26,195,J.D. Runnels,BEARS,RB,Oklahoma
2006,6,27,196,Kedric Golston,TEAM,DT,Georgia
2006,6,28,197,Melvin Oliver,49ERS,DE,Louisiana State
2006,6,29,198,Greg Eslinger,BRONCOS, C,Minnesota
2006,6,30,199,Charlie Johnson,COLTS, T,Oklahoma State
2006,6,31,200,Tyler Reed,BEARS, G,Penn State
2006,6,32,201,Marvin Philip,STEELERS, C,California
2006,6,33,202,T.J. Williams,BUCCANEERS,TE,North Carolina State
2006,6,34,203,Sam Koch,RAVENS, P,Nebraska
2006,6,35,204,LaJuan Ramsey,EAGLES,DT,USC
2006,6,36,205,Dan Stevenson,PATRIOTS, G,Notre Dame
2006,6,37,206,Le Kevin Smith,PATRIOTS,DT,Nebraska
2006,6,38,207,Antoine Bethea,COLTS,DB,Howard
2006,6,39,208,Derrick Martin,RAVENS,DB,Wyoming
2006,7,1,209,Ethan Kilmer,BENGALS,WR,Penn State
2006,7,2,210,Zach Strief,SAINTS, G,Northwestern
2006,7,3,211,Pat McQuistan,COWBOYS, T,Weber State
2006,7,4,212,Fred Evans,DOLPHINS,DT,Texas State
2006,7,5,213,James Wyche,JAGUARS,DE,Syracuse
2006,7,6,214,Chris Morris,RAIDERS, C,Michigan State
2006,7,7,215,Cortland Finnegan,TITANS,DB,Samford
2006,7,8,216,Terrance Pennington,BILLS, T,New Mexico
2006,7,9,217,Fred Matua,LIONS, G,USC
2006,7,10,218,Todd Watkins,CARDINALS,WR,Brigham Young
2006,7,11,219,Ryan LaCasse,RAVENS,LB,Syracuse
2006,7,12,220,Titus Adams,JETS,DT,Nebraska
2006,7,13,221,Tim McGarigle,RAMS,LB,Northwestern
2006,7,14,222,Justin Hamilton,BROWNS,DB,Virginia Tech
2006,7,15,223,D.J. Shockley,FALCONS,QB,Georgia
2006,7,16,224,E.J. Whitley,COWBOYS, C,Texas Tech
2006,7,17,225,Chase Page,CHARGERS,DT,North Carolina
2006,7,18,226,Rodrique Wright,DOLPHINS,DT,Texas
2006,7,19,227,Jimmy Martin,CHARGERS, C,Virginia Tech
2006,7,20,228,Jarrad Page,CHIEFS,DB,UCLA
2006,7,21,229,Willie Andrews,PATRIOTS,DB,Baylor
2006,7,22,230,Kili Lefotu,TEAM, G,Arizona
2006,7,23,231,Bennie Brazell,BENGALS,WR,Louisiana State
2006,7,24,232,Gerrick McPhearson,GIANTS,DB,Maryland
2006,7,25,233,Devin Aromashodu,DOLPHINS,WR,Auburn
2006,7,26,234,Will Montgomery,PANTHERS, G,Virginia Tech
2006,7,27,235,Justin Phinisee,BUCCANEERS,DB,Oregon
2006,7,28,236,Demetrice Webb,JAGUARS,DB,Florida
2006,7,29,237,Stanley McClover,PANTHERS,DE,Auburn
2006,7,30,238,T.J. Rushing,COLTS,DB,Stanford
2006,7,31,239,Ryan Plackemeier,SEAHAWKS, P,Wake Forest
2006,7,32,240,Cedric Humes,STEELERS,RB,Virginia Tech
2006,7,33,241,Charles Bennett,BUCCANEERS,LB,Clemson
2006,7,34,242,Mark Setterstrom,RAMS, G,Minnesota
2006,7,35,243,Tony Palmer,RAMS, G,Missouri
2006,7,36,244,Tim Massaquoi,BUCCANEERS,TE,Michigan
2006,7,37,245,Spencer Toone,TITANS,LB,Utah
2006,7,38,246,Quinton Ganther,TITANS,RB,Utah
2006,7,39,247,Anthony Cannon,LIONS,LB,Tulane
2006,7,40,248,Aaron Merz,BILLS, G,California
2006,7,41,249,Ben Obomanu,SEAHAWKS,WR,Auburn
2006,7,42,250,Kevin Simon,TEAM,LB,Tennessee
2006,7,43,251,David Anderson,TEXANS,WR,Colorado State
2006,7,44,252,Marques Colston,SAINTS,WR,Hofstra
2006,7,45,253,Dave Tollefson,PACKERS,DE,Northwest Missouri State
2006,7,46,254,Vickiel Vaughn,49ERS,DB,Arkansas
2006,7,47,255,Kevin McMahan,RAIDERS,WR,Maine
2007,1,1,1,JaMarcus Russell,RAIDERS,QB,Louisiana State
2007,1,2,2,Calvin Johnson,LIONS,WR,Georgia Tech
2007,1,3,3,Joe Thomas,BROWNS, T,Wisconsin
2007,1,4,4,Gaines Adams,BUCCANEERS,DE,Clemson
2007,1,5,5,Levi Brown,CARDINALS, T,Penn State
2007,1,6,6,LaRon Landry,TEAM,DB,Louisiana State
2007,1,7,7,Adrian Peterson,VIKINGS,RB,Oklahoma
2007,1,8,8,Jamaal Anderson,FALCONS,DE,Arkansas
2007,1,9,9,Ted Ginn,DOLPHINS,WR,Ohio State
2007,1,10,10,Amobi Okoye,TEXANS,DT,Louisville
2007,1,11,11,Patrick Willis,49ERS,LB,Mississippi
2007,1,12,12,Marshawn Lynch,BILLS,RB,California
2007,1,13,13,Adam Carriker,RAMS,DE,Nebraska
2007,1,14,14,Darrelle Revis,JETS,DB,Pittsburgh
2007,1,15,15,Lawrence Timmons,STEELERS,LB,Florida State
2007,1,16,16,Justin Harrell,PACKERS,DT,Tennessee
2007,1,17,17,Jarvis Moss,BRONCOS,DE,Florida
2007,1,18,18,Leon Hall,BENGALS,DB,Michigan
2007,1,19,19,Michael Griffin,TITANS,DB,Texas
2007,1,20,20,Aaron Ross,GIANTS,DB,Texas
2007,1,21,21,Reggie Nelson,JAGUARS,DB,Florida
2007,1,22,22,Brady Quinn,BROWNS,QB,Notre Dame
2007,1,23,23,Dwayne Bowe,CHIEFS,WR,Louisiana State
2007,1,24,24,Brandon Meriweather,PATRIOTS,DB,Miami (FL)
2007,1,25,25,Jon Beason,PANTHERS,LB,Miami (FL)
2007,1,26,26,Anthony Spencer,COWBOYS,DE,Purdue
2007,1,27,27,Robert Meachem,SAINTS,WR,Tennessee
2007,1,28,28,Joe Staley,49ERS, T,Central Michigan
2007,1,29,29,Ben Grubbs,RAVENS, G,Auburn
2007,1,30,30,Craig Davis,CHARGERS,WR,Louisiana State
2007,1,31,31,Greg Olsen,BEARS,TE,Miami (FL)
2007,1,32,32,Anthony Gonzalez,COLTS,WR,Ohio State
2007,2,1,33,Alan Branch,CARDINALS,DT,Michigan
2007,2,2,34,Paul Posluszny,BILLS,LB,Penn State
2007,2,3,35,Arron Sears,BUCCANEERS, T,Tennessee
2007,2,4,36,Kevin Kolb,EAGLES,QB,Houston
2007,2,5,37,Eric Weddle,CHARGERS,DB,Utah
2007,2,6,38,Zach Miller,RAIDERS,TE,Arizona State
2007,2,7,39,Justin Blalock,FALCONS, T,Texas
2007,2,8,40,John Beck,DOLPHINS,QB,Brigham Young
2007,2,9,41,Chris Houston,FALCONS,DB,Arkansas
2007,2,10,42,Tony Ugoh,COLTS, G,Arkansas
2007,2,11,43,Drew Stanton,LIONS,QB,Michigan State
2007,2,12,44,Sidney Rice,VIKINGS,WR,South Carolina
2007,2,13,45,Dwayne Jarrett,PANTHERS,WR,USC
2007,2,14,46,LaMarr Woodley,STEELERS,DE,Michigan
2007,2,15,47,David Harris,JETS,LB,Michigan
2007,2,16,48,Justin Durant,JAGUARS,LB,Hampton
2007,2,17,49,Kenny Irons,BENGALS,RB,Auburn
2007,2,18,50,Chris Henry,TITANS,RB,Arizona
2007,2,19,51,Steve Smith,GIANTS,WR,USC
2007,2,20,52,Brian Leonard,RAMS,RB,Rutgers
2007,2,21,53,Eric Wright,BROWNS,DB,Nevada-Las Vegas
2007,2,22,54,Turk McBride,CHIEFS,DT,Tennessee
2007,2,23,55,Josh Wilson,SEAHAWKS,DB,Maryland
2007,2,24,56,Tim Crowder,BRONCOS,DE,Texas
2007,2,25,57,Victor Abiamiri,EAGLES,DE,Notre Dame
2007,2,26,58,Ikaika Alama-Francis,LIONS,DE,Hawaii
2007,2,27,59,Ryan Kalil,PANTHERS, C,USC
2007,2,28,60,Samson Satele,DOLPHINS, C,Hawaii
2007,2,29,61,Gerald Alexander,LIONS,DB,Boise State
2007,2,30,62,Dan Bazuin,BEARS,DE,Central Michigan
2007,2,31,63,Brandon Jackson,PACKERS,RB,Nebraska
2007,2,32,64,Sabby Piscitelli,BUCCANEERS,DB,Oregon State
2007,3,1,65,Quentin Moses,RAIDERS,DE,Georgia
2007,3,2,66,Usama Young,SAINTS,DB,Kent State
2007,3,3,67,James Marten,COWBOYS, T,Boston College
2007,3,4,68,Quincy Black,BUCCANEERS,LB,New Mexico
2007,3,5,69,Buster Davis,CARDINALS,LB,Florida State
2007,3,6,70,Ryan Harris,BRONCOS, T,Notre Dame
2007,3,7,71,Lorenzo Booker,DOLPHINS,RB,Florida State
2007,3,8,72,Marcus McCauley,VIKINGS,DB,Fresno State
2007,3,9,73,Jacoby Jones,TEXANS,WR,Lane
2007,3,10,74,Yamon Figurs,RAVENS,WR,Kansas State
2007,3,11,75,Laurent Robinson,FALCONS,WR,Illinois State
2007,3,12,76,Jason Hill,49ERS,WR,Washington State
2007,3,13,77,Matt Spaeth,STEELERS,TE,Minnesota
2007,3,14,78,James Jones,PACKERS,WR,San Jose State
2007,3,15,79,Mike Walker,JAGUARS,WR,Central Florida
2007,3,17,80,Paul Williams,TITANS,WR,Fresno State
2007,3,18,81,Jay Alford,GIANTS,DT,Penn State
2007,3,19,82,DeMarcus \'Tank\' Tyler,CHIEFS,DT,North Carolina State
2007,3,20,83,Charles Johnson,PANTHERS,DE,Georgia
2007,3,21,84,Jonathan Wade,RAMS,DB,Tennessee
2007,3,22,85,Brandon Mebane,SEAHAWKS,DT,California
2007,3,23,86,Marshal Yanda,RAVENS, G,Iowa
2007,3,24,87,Stewart Bradley,EAGLES,LB,Nebraska
2007,3,25,88,Andy Alleman,SAINTS, G,Akron
2007,3,26,89,Aaron Rouse,PACKERS,DB,Virginia Tech
2007,3,27,90,Tony Hunt,EAGLES,RB,Penn State
2007,3,28,91,Mario Henderson,RAIDERS, T,Florida State
2007,3,29,92,Trent Edwards,BILLS,QB,Stanford
2007,3,30,93,Garrett Wolfe,BEARS,RB,Northern Illinois
2007,3,31,94,Michael Okwo,BEARS,LB,Stanford
2007,3,32,95,Daymeion Hughes,COLTS,DB,California
2007,3,33,96,Anthony Waters,CHARGERS,LB,Clemson
2007,3,34,97,Ray McDonald,49ERS,DT,Florida
2007,3,35,98,Quinn Pitcock,COLTS,DT,Ohio State
2007,3,36,99,Johnnie Lee Higgins,RAIDERS,WR,Texas-El Paso
2007,4,1,100,Michael Bush,RAIDERS,RB,Louisville
2007,4,2,101,Adam Podlesh,JAGUARS, P,Maryland
2007,4,3,102,Brian Robison,VIKINGS,DE,Texas
2007,4,4,103,Isaiah Stanback,COWBOYS,QB,Washington
2007,4,5,104,Jay Moore,49ERS,DE,Nebraska
2007,4,6,105,A.J. Davis,LIONS,DB,North Carolina State
2007,4,7,106,Tanard Jackson,BUCCANEERS,DB,Syracuse
2007,4,8,107,Antonio Pittman,SAINTS,RB,Ohio State
2007,4,9,108,Paul Soliai,DOLPHINS,DT,Utah
2007,4,10,109,Stephen Nicholas,FALCONS,LB,South Florida
2007,4,11,110,John Bowie,RAIDERS,DB,Cincinnati
2007,4,12,111,Dwayne Wright,BILLS,RB,Fresno State
2007,4,13,112,Daniel Sepulveda,STEELERS, P,Baylor
2007,4,14,113,Brian Smith,JAGUARS,DE,Missouri
2007,4,15,114,Marvin White,BENGALS,DB,Texas Christian
2007,4,16,115,Leroy Harris,TITANS, C,North Carolina State
2007,4,17,116,Zak DeOssie,GIANTS,LB,Brown
2007,4,18,117,Manny Ramirez,LIONS, G,Texas Tech
2007,4,19,118,Ryne Robinson,PANTHERS,WR,Miami (OH)
2007,4,20,119,Allen Barbre,PACKERS, T,Missouri Southern State
2007,4,21,120,Baraka Atkins,SEAHAWKS,DE,Miami (FL)
2007,4,22,121,Marcus Thomas,BRONCOS,DT,Florida
2007,4,23,122,Doug Free,COWBOYS, T,Northern Illinois
2007,4,24,123,Fred Bennett,TEXANS,DB,South Carolina
2007,4,25,124,Mansfield Wrotto,SEAHAWKS, G,Georgia Tech
2007,4,26,125,Jermon Bushrod,SAINTS, T,Towson
2007,4,27,126,Dashon Goldson,49ERS,DB,Washington
2007,4,28,127,Kareem Brown,PATRIOTS,DT,Miami (FL)
2007,4,29,128,Chris Davis,TITANS,WR,Florida State
2007,4,30,129,Scott Chandler,CHARGERS,TE,Iowa
2007,4,31,130,Josh Beekman,BEARS, G,Boston College
2007,4,32,131,Brannon Condren,COLTS,DB,Troy
2007,4,33,132,Ryan McBean,STEELERS,DE,Oklahoma State
2007,4,34,133,Martrez Milner,FALCONS,TE,Georgia
2007,4,35,134,Antwan Barnes,RAVENS,LB,Florida International
2007,4,36,135,Joe Cohen,49ERS,DT,Florida
2007,4,37,136,Clint Session,COLTS,LB,Pittsburgh
2007,4,38,137,Le\'Ron McClain,RAVENS,RB,Alabama
2007,5,1,138,Jay Richardson,RAIDERS,DE,Ohio State
2007,5,2,139,Dustin Fry,RAMS, C,Clemson
2007,5,3,140,Brandon McDonald,BROWNS,DB,Memphis
2007,5,4,141,Greg Peterson,BUCCANEERS,DE,North Carolina Central
2007,5,5,142,Steve Breaston,CARDINALS,WR,Michigan
2007,5,6,143,Dallas Sartz,TEAM,LB,USC
2007,5,7,144,Brandon Harrison,TEXANS,DB,Stanford
2007,5,8,145,David Jones,SAINTS,DB,Wingate
2007,5,9,146,Aundrae Allison,VIKINGS,WR,East Carolina
2007,5,10,147,Tarell Brown,49ERS,DB,Texas
2007,5,11,148,Kolby Smith,CHIEFS,RB,Louisville
2007,5,12,149,Uche Nwaneri,JAGUARS, G,Purdue
2007,5,13,150,Josh Gattis,JAGUARS,DB,Wake Forest
2007,5,14,151,Jeff Rowe,BENGALS,QB,Nevada
2007,5,15,152,Antonio Johnson,TITANS,DT,Mississippi State
2007,5,16,153,Kevin Boss,GIANTS,TE,Western Oregon
2007,5,17,154,Clifton Ryan,RAMS,DT,Michigan State
2007,5,18,155,Dante Rosario,PANTHERS,TE,Oregon
2007,5,19,156,Cameron Stephenson,STEELERS, G,Rutgers
2007,5,20,157,David Clowney,PACKERS,WR,Virginia Tech
2007,5,21,158,Johnny Baldwin,LIONS,LB,Alabama A&M
2007,5,22,159,C.J. Gaddis,EAGLES,DB,Clemson
2007,5,23,160,Justin Medlock,CHIEFS, K,UCLA
2007,5,24,161,Will Herring,SEAHAWKS,LB,Auburn
2007,5,25,162,Brent Celek,EAGLES,TE,Cincinnati
2007,5,26,163,Brandon Frye,TEXANS, T,Virginia Tech
2007,5,27,164,Tim Shaw,PANTHERS,LB,Penn State
2007,5,28,165,Eric Frampton,RAIDERS,DB,Washington State
2007,5,29,166,Derek Landri,JAGUARS,DT,Notre Dame
2007,5,30,167,Kevin Payne,BEARS,DB,Louisiana-Monroe
2007,5,31,168,Corey Graham,BEARS,DB,New Hampshire
2007,5,32,169,Roy Hall,COLTS,WR,Ohio State
2007,5,33,170,William Gay,STEELERS,DB,Louisville
2007,5,34,171,Clint Oldenburg,PATRIOTS, T,Colorado State
2007,5,35,172,Legedu Naanee,CHARGERS,WR,Boise State
2007,5,36,173,Michael Coe,COLTS,DB,Alabama State
2007,5,37,174,Troy Smith,RAVENS,QB,Ohio State
2007,6,1,175,Oren O\'Neal,RAIDERS,RB,Arkansas State
2007,6,2,176,Rufus Alexander,VIKINGS,LB,Oklahoma
2007,6,3,177,Jacob Bender,JETS, T,Nicholls State
2007,6,4,178,Nick Folk,COWBOYS, K,Arizona
2007,6,5,179,H.B. Blades,TEAM,LB,Pittsburgh
2007,6,6,180,Justin Rogers,PATRIOTS,LB,Southern Methodist
2007,6,7,181,Reagan Mauia,DOLPHINS,RB,Hawaii
2007,6,8,182,Adam Hayward,BUCCANEERS,LB,Portland State
2007,6,9,183,Kasey Studdard,TEXANS, G,Texas
2007,6,10,184,John Wendling,BILLS,DB,Wyoming
2007,6,11,185,Trey Lewis,FALCONS,DT,Washburn
2007,6,12,186,Thomas Clayton,49ERS,RB,Kansas State
2007,6,13,187,Matt Toeaina,BENGALS,DT,Oregon
2007,6,14,188,Joel Filani,TITANS,WR,Texas Tech
2007,6,15,189,Adam Koets,GIANTS, T,Oregon State
2007,6,16,190,Ken Shackleford,RAMS, T,Georgia
2007,6,17,191,Korey Hall,PACKERS,LB,Boise State
2007,6,18,192,Desmond Bishop,PACKERS,LB,California
2007,6,19,193,Mason Crosby,PACKERS, K,Colorado
2007,6,20,194,David Irons,FALCONS,DB,Auburn
2007,6,21,195,Deon Anderson,COWBOYS,RB,Connecticut
2007,6,22,196,Herbert Taylor,CHIEFS, T,Texas Christian
2007,6,23,197,Courtney Taylor,SEAHAWKS,WR,Auburn
2007,6,24,198,Doug Datish,FALCONS, C,Ohio State
2007,6,25,199,Drew Mormino,DOLPHINS, C,Central Michigan
2007,6,26,200,Melila Purcell,BROWNS,DE,Hawaii
2007,6,27,201,Rashad Barksdale,EAGLES,DB,Albany State
2007,6,28,202,Mike Richardson,PATRIOTS,DB,Notre Dame
2007,6,29,203,Daren Stone,FALCONS,DB,Maine
2007,6,30,204,Jacob Ford,TITANS,DE,Central Arkansas
2007,6,31,205,Jordan Palmer,TEAM,QB,Texas-El Paso
2007,6,32,206,Ryan Smith,TITANS,DB,Florida
2007,6,33,207,Prescott Burgess,RAVENS,LB,Michigan
2007,6,34,208,Justise Hairston,PATRIOTS,RB,Central Connecticut St.
2007,6,35,209,Corey Hilliard,PATRIOTS, T,Oklahoma State
2007,6,36,210,Jordan Kent,SEAHAWKS,WR,Oregon
2007,7,1,211,Oscar Lua,PATRIOTS,LB,USC
2007,7,2,212,Courtney Brown,COWBOYS,DB,Cal Poly-San Luis Obispo
2007,7,3,213,Chase Pittman,BROWNS,DE,Louisiana State
2007,7,4,214,Chris Denman,BUCCANEERS, T,Fresno State
2007,7,5,215,Ben Patrick,CARDINALS,TE,Delaware
2007,7,6,216,Tyler Ecker,TEAM,TE,Michigan
2007,7,7,217,Tyler Thigpen,VIKINGS,QB,Coastal Carolina
2007,7,8,218,Zach Diles,TEXANS,LB,Kansas State
2007,7,9,219,Kelvin Smith,DOLPHINS,LB,Syracuse
2007,7,10,220,Marvin Mitchell,SAINTS,LB,Tennessee
2007,7,11,221,Trumaine McBride,BEARS,DB,Mississippi
2007,7,12,222,Derek Schouman,BILLS,RB,Boise State
2007,7,13,223,Michael Otto,TITANS, T,Purdue
2007,7,14,224,Michael Johnson,GIANTS,DB,Arizona
2007,7,15,225,Brandon Fields,DOLPHINS, P,Michigan State
2007,7,16,226,C.J. Wilson,PANTHERS,DB,Baylor
2007,7,17,227,Dallas Baker,STEELERS,WR,Florida
2007,7,18,228,DeShawn Wynn,PACKERS,RB,Florida
2007,7,19,229,John Broussard,JAGUARS,WR,San Jose State
2007,7,20,230,Dan Santucci,BENGALS, G,Notre Dame
2007,7,21,231,Michael Allan,CHIEFS,TE,Whitworth
2007,7,22,232,Steve Vallos,SEAHAWKS, T,Wake Forest
2007,7,23,233,Chandler Williams,VIKINGS,WR,Florida International
2007,7,24,234,Syndric Steptoe,BROWNS,WR,Arizona
2007,7,25,235,Chansi Stuckey,JETS,WR,Clemson
2007,7,26,236,Nate Ilaoa,EAGLES,RB,Hawaii
2007,7,27,237,Alan Ball,COWBOYS,DB,Illinois
2007,7,28,238,Abraham Wright,DOLPHINS,DE,Colorado
2007,7,29,239,C.J. Ah You,BILLS,DE,Oklahoma
2007,7,30,240,Brandon Siler,CHARGERS,LB,Florida
2007,7,31,241,Aaron Brant,BEARS, T,Iowa State
2007,7,32,242,Keyunta Dawson,COLTS,DE,Texas Tech
2007,7,33,243,Clark Harris,PACKERS,TE,Rutgers
2007,7,34,244,Jason Snelling,FALCONS,RB,Virginia
2007,7,35,245,Marcus Hamilton,BUCCANEERS,DB,Virginia
2007,7,36,246,Kenneth Darby,BUCCANEERS,RB,Alabama
2007,7,37,247,Mike Elgin,PATRIOTS, G,Iowa
2007,7,38,248,Keith Jackson,RAMS,DT,Arkansas
2007,7,39,249,Derek Stanley,RAMS,WR,Wisconsin-Whitewater
2007,7,40,250,Ahmad Bradshaw,GIANTS,RB,Marshall
2007,7,41,251,Chad Nkang,JAGUARS,LB,Elon
2007,7,42,252,Andrew Carnahan,JAGUARS, T,Arizona State
2007,7,43,253,Nedu Ndukwe,BENGALS,DB,Notre Dame
2007,7,44,254,Johnathan Holland,RAIDERS,WR,Louisiana Tech
2007,7,45,255,Ramzee Robinson,LIONS,DB,Alabama
2008,1,1,1,Jake Long,DOLPHINS, T,Michigan
2008,1,2,2,Chris Long,RAMS,DE,Virginia
2008,1,3,3,Matt Ryan,FALCONS,QB,Boston College
2008,1,4,4,Darren McFadden,RAIDERS,RB,Arkansas
2008,1,5,5,Glenn Dorsey,CHIEFS,DT,Louisiana State
2008,1,6,6,Vernon Gholston,JETS,DE,Ohio State
2008,1,7,7,Sedrick Ellis,SAINTS,DT,USC
2008,1,8,8,Derrick Harvey,JAGUARS,DE,Florida
2008,1,9,9,Keith Rivers,BENGALS,LB,USC
2008,1,10,10,Jerod Mayo,PATRIOTS,LB,Tennessee
2008,1,11,11,Leotis McKelvin,BILLS,DB,Troy
2008,1,12,12,Ryan Clady,BRONCOS, T,Boise State
2008,1,13,13,Jonathan Stewart,PANTHERS,RB,Oregon
2008,1,14,14,Chris Williams,BEARS, T,Vanderbilt
2008,1,15,15,Branden Albert,CHIEFS, G,Virginia
2008,1,16,16,Dominique Rodgers-Cromartie,CARDINALS,DB,Tennessee State
2008,1,17,17,Gosder Cherilus,LIONS, T,Boston College
2008,1,18,18,Joe Flacco,RAVENS,QB,Delaware
2008,1,19,19,Jeff Otah,PANTHERS, T,Pittsburgh
2008,1,20,20,Aqib Talib,BUCCANEERS,DB,Kansas
2008,1,21,21,Sam Baker,FALCONS, T,USC
2008,1,22,22,Felix Jones,COWBOYS,RB,Arkansas
2008,1,23,23,Rashard Mendenhall,STEELERS,RB,Illinois
2008,1,24,24,Chris Johnson,TITANS,RB,East Carolina
2008,1,25,25,Mike Jenkins,COWBOYS,DB,South Florida
2008,1,26,26,Duane Brown,TEXANS, T,Virginia Tech
2008,1,27,27,Antoine Cason,CHARGERS,DB,Arizona
2008,1,28,28,Lawrence Jackson,SEAHAWKS,DE,USC
2008,1,29,29,Kentwan Ballmer,49ERS,DT,North Carolina
2008,1,30,30,Dustin Keller,JETS,TE,Purdue
2008,1,31,31,Kenny Phillips,GIANTS,DB,Miami (FL)
2008,2,1,32,Phillip Merling,DOLPHINS,DE,Clemson
2008,2,2,33,Donnie Avery,RAMS,WR,Houston
2008,2,3,34,Devin Thomas,TEAM,WR,Michigan State
2008,2,4,35,Brandon Flowers,CHIEFS,DB,Virginia Tech
2008,2,5,36,Jordy Nelson,PACKERS,WR,Kansas State
2008,2,6,37,Curtis Lofton,FALCONS,LB,Oklahoma
2008,2,7,38,John Carlson,SEAHAWKS,TE,Notre Dame
2008,2,8,39,Chilo Rachal,49ERS, G,USC
2008,2,9,40,Tracy Porter,SAINTS,DB,Indiana
2008,2,10,41,James Hardy,BILLS,WR,Indiana
2008,2,11,42,Eddie Royal,BRONCOS,WR,Virginia Tech
2008,2,12,43,Tyrell Johnson,VIKINGS,DB,Arkansas State
2008,2,13,44,Matt Forte,BEARS,RB,Tulane
2008,2,14,45,Jordon Dizon,LIONS,LB,Colorado
2008,2,15,46,Jerome Simpson,BENGALS,WR,Coastal Carolina
2008,2,16,47,Trevor Laws,EAGLES,DT,Notre Dame
2008,2,17,48,Fred Davis,TEAM,TE,USC
2008,2,18,49,DeSean Jackson,EAGLES,WR,California
2008,2,19,50,Calais Campbell,CARDINALS,DE,Miami (FL)
2008,2,20,51,Malcolm Kelly,TEAM,WR,Oklahoma
2008,2,21,52,Quentin Groves,JAGUARS,DE,Auburn
2008,2,22,53,Limas Sweed,STEELERS,WR,Texas
2008,2,23,54,Jason Jones,TITANS,DE,Eastern Michigan
2008,2,24,55,Ray Rice,RAVENS,RB,Rutgers
2008,2,25,56,Brian Brohm,PACKERS,QB,Louisville
2008,2,26,57,Chad Henne,DOLPHINS,QB,Michigan
2008,2,27,58,Dexter Jackson,BUCCANEERS,WR,Appalachian State
2008,2,28,59,Mike Pollak,COLTS, C,Arizona State
2008,2,29,60,Patrick Lee,PACKERS,DB,Auburn
2008,2,30,61,Martellus Bennett,COWBOYS,TE,Texas A&M
2008,2,31,62,Terrence Wheatley,PATRIOTS,DB,Colorado
2008,2,32,63,Terrell Thomas,GIANTS,DB,USC
2008,3,1,64,Kevin Smith,LIONS,RB,Central Florida
2008,3,2,65,John Greco,RAMS, T,Toledo
2008,3,3,66,Kendall Langford,DOLPHINS,DE,Hampton
2008,3,4,67,Charles Godfrey,PANTHERS,DB,Iowa
2008,3,5,68,Chevis Jackson,FALCONS,DB,Louisiana State
2008,3,6,69,Jacob Hester,CHARGERS,RB,Louisiana State
2008,3,7,70,Earl Bennett,BEARS,WR,Vanderbilt
2008,3,8,71,Tavares Gooden,RAVENS,LB,Miami (FL)
2008,3,9,72,Chris Ellis,BILLS,DE,Virginia Tech
2008,3,10,73,Jamaal Charles,CHIEFS,RB,Texas
2008,3,11,74,Dan Connor,PANTHERS,LB,Penn State
2008,3,12,75,Reggie Smith,49ERS,DB,Oklahoma
2008,3,13,76,Brad Cottam,CHIEFS,TE,Tennessee
2008,3,14,77,Pat Sims,BENGALS,DT,Auburn
2008,3,15,78,Shawn Crable,PATRIOTS,LB,Michigan
2008,3,16,79,Antwaun Molden,TEXANS,DB,Eastern Kentucky
2008,3,17,80,Bryan Smith,EAGLES,DE,McNeese State
2008,3,18,81,Early Doucet,CARDINALS,WR,Louisiana State
2008,3,19,82,DaJuan Morgan,CHIEFS,DB,North Carolina State
2008,3,20,83,Jeremy Zuttah,BUCCANEERS, G,Rutgers
2008,3,21,84,Harry Douglas,FALCONS,WR,Louisville
2008,3,22,85,Craig Stevens,TITANS,TE,California
2008,3,23,86,Tom Zbikowski,RAVENS,DB,Notre Dame
2008,3,24,87,Andre Fluellen,LIONS,DT,Florida State
2008,3,25,88,Bruce Davis,STEELERS,LB,UCLA
2008,3,26,89,Steve Slaton,TEXANS,RB,West Virginia
2008,3,27,90,Marcus Harrison,BEARS,DT,Arkansas
2008,3,28,91,Jermichael Finley,PACKERS,TE,Texas
2008,3,29,92,Cliff Avril,LIONS,DE,Purdue
2008,3,30,93,Philip Wheeler,COLTS,LB,Georgia Tech
2008,3,31,94,Kevin O\'Connell,PATRIOTS,QB,San Diego State
2008,3,32,95,Mario Manningham,GIANTS,WR,Michigan
2008,3,33,96,Chad Rinehart,TEAM, G,Northern Iowa
2008,3,34,97,Andre Caldwell,BENGALS,WR,Florida
2008,3,35,98,Thomas DeCoud,FALCONS,DB,California
2008,3,36,99,Oniel Cousins,RAVENS, G,Texas-El Paso
2008,4,1,100,Tyvon Branch,RAIDERS,DB,Connecticut
2008,4,2,101,Justin King,RAMS,DB,Penn State
2008,4,3,102,Jeremy Thompson,PACKERS,DE,Wake Forest
2008,4,4,103,William Hayes,TITANS,DE,Winston-Salem State
2008,4,5,104,Beau Bell,BROWNS,LB,Nevada-Las Vegas
2008,4,6,105,William Franklin,CHIEFS,WR,Missouri
2008,4,7,106,Marcus Smith,RAVENS,WR,New Mexico
2008,4,8,107,Cody Wallace,49ERS, C,Texas A&M
2008,4,9,108,Kory Lichtensteiger,BRONCOS, C,Bowling Green
2008,4,10,109,Michael McGlynn,EAGLES, G,Pittsburgh
2008,4,11,110,Shawn Murphy,DOLPHINS, G,Utah State
2008,4,12,111,Martin Rucker,BROWNS,TE,Missouri
2008,4,13,112,Anthony Collins,BENGALS, T,Kansas
2008,4,14,113,Dwight Lowery,JETS,DB,San Jose State
2008,4,15,114,Reggie Corner,BILLS,DB,Akron
2008,4,16,115,Dre Moore,BUCCANEERS,DT,Maryland
2008,4,17,116,Kenny Iwebema,CARDINALS,DE,Iowa
2008,4,18,117,Quintin Demps,EAGLES,DB,Texas-El Paso
2008,4,19,118,Xavier Adibi,TEXANS,LB,Virginia Tech
2008,4,20,119,Jack Williams,BRONCOS,DB,Kent State
2008,4,21,120,Craig Steltz,BEARS,DB,Louisiana State
2008,4,22,121,Red Bryant,SEAHAWKS,DT,Texas A&M
2008,4,23,122,Tashard Choice,COWBOYS,RB,Georgia Tech
2008,4,24,123,Bryan Kehl,GIANTS,LB,Brigham Young
2008,4,25,124,Justin Tryon,TEAM,DB,Arizona State
2008,4,26,125,Arman Shields,RAIDERS,WR,Richmond
2008,4,27,126,Lavelle Hawkins,TITANS,WR,California
2008,4,28,127,Jacob Tamme,COLTS,TE,Kentucky
2008,4,29,128,Keenan Burton,RAMS,WR,Kentucky
2008,4,30,129,Jonathan Wilhite,PATRIOTS,DB,Auburn
2008,4,31,130,Tony Hills,STEELERS, T,Texas
2008,4,32,131,Jack Ikegwuonu,EAGLES,DB,Wisconsin
2008,4,33,132,Derek Fine,BILLS,TE,Kansas
2008,4,34,133,David Hale,RAVENS, T,Weber State
2008,4,35,134,Stanford Keglar,TITANS,LB,Purdue
2008,4,36,135,Josh Sitton,PACKERS, T,Central Florida
2008,5,1,136,Kenneth Moore,LIONS,WR,Wake Forest
2008,5,2,137,John David Booty,VIKINGS,QB,USC
2008,5,3,138,Robert James,FALCONS,LB,Arizona State
2008,5,4,139,Ryan Torain,BRONCOS,RB,Arizona State
2008,5,5,140,Brandon Carr,CHIEFS,DB,Grand Valley State
2008,5,6,141,Gary Barnidge,PANTHERS,TE,Louisville
2008,5,7,142,Zack Bowman,BEARS,DB,Nebraska
2008,5,8,143,Orlando Scandrick,COWBOYS,DB,Boise State
2008,5,9,144,DeMario Pressley,SAINTS,DT,North Carolina State
2008,5,10,145,Jason Shirley,BENGALS,DT,Fresno State
2008,5,11,146,Jerome Felton,LIONS,RB,Furman
2008,5,12,147,Alvin Bowen,BILLS,LB,Iowa State
2008,5,13,148,Carlton Powell,BRONCOS,DT,Virginia Tech
2008,5,14,149,Timothy Hightower,CARDINALS,RB,Richmond
2008,5,15,150,Breno Giacomini,PACKERS, T,Louisville
2008,5,16,151,Frank Okam,TEXANS,DT,Texas
2008,5,17,152,Letroy Guion,VIKINGS,DT,Florida State
2008,5,18,153,Matt Slater,PATRIOTS,WR,UCLA
2008,5,19,154,Kroy Biermann,FALCONS,LB,Montana
2008,5,20,155,Thomas Williams,JAGUARS,LB,USC
2008,5,21,156,Dennis Dixon,STEELERS,QB,Oregon
2008,5,22,157,Roy Schuening,RAMS, G,Oregon State
2008,5,23,158,Kellen Davis,BEARS,TE,Michigan State
2008,5,24,159,Trae Williams,JAGUARS,DB,South Florida
2008,5,25,160,Josh Johnson,BUCCANEERS,QB,San Diego
2008,5,26,161,Marcus Howard,COLTS,LB,Georgia
2008,5,27,162,Erik Ainge,JETS,QB,Tennessee
2008,5,28,163,Owen Schmitt,SEAHAWKS,RB,West Virginia
2008,5,29,164,Carl Nicks,SAINTS, T,Nebraska
2008,5,30,165,Jonathan Goff,GIANTS,LB,Vanderbilt
2008,5,31,166,Marcus Thomas,CHARGERS,RB,Texas-El Paso
2008,6,1,167,Erik Walden,COWBOYS,DE,Middle Tennessee State
2008,6,2,168,Durant Brooks,TEAM, P,Georgia Tech
2008,6,3,169,Trevor Scott,RAIDERS,DE,Buffalo
2008,6,4,170,Barry Richardson,CHIEFS, T,Clemson
2008,6,5,171,Marcus Henry,JETS,WR,Kansas
2008,6,6,172,Thomas Brown,FALCONS,RB,Georgia
2008,6,7,173,Dominique Barber,TEXANS,DB,Minnesota
2008,6,8,174,Josh Morgan,49ERS,WR,Virginia Tech
2008,6,9,175,Geno Hayes,BUCCANEERS,LB,Florida State
2008,6,10,176,Jalen Parmele,DOLPHINS,RB,Toledo
2008,6,11,177,Corey Lynch,BENGALS,DB,Appalachian State
2008,6,12,178,Taylor Mehlhaff,SAINTS, K,Wisconsin
2008,6,13,179,Xavier Omon,BILLS,RB,Northwest Missouri State
2008,6,14,180,Kareem Moore,TEAM,DB,Nicholls State
2008,6,15,181,Nick Hayden,PANTHERS,DT,Wisconsin
2008,6,16,182,Kevin Robinson,CHIEFS,WR,Utah State
2008,6,17,183,Spencer Larsen,BRONCOS,LB,Arizona
2008,6,18,184,Michael Gibson,EAGLES, G,California
2008,6,19,185,Christopher Harrington,CARDINALS,DE,Texas A&M
2008,6,20,186,Colt Brennan,TEAM,QB,Hawaii
2008,6,21,187,John Sullivan,VIKINGS, C,Notre Dame
2008,6,22,188,Mike Humpal,STEELERS,LB,Iowa
2008,6,23,189,Tyler Schmitt,SEAHAWKS, C,San Diego State
2008,6,24,190,Ahtyba Rubin,BROWNS,DT,Iowa State
2008,6,25,191,Paul Hubbard,BROWNS,WR,Wisconsin
2008,6,26,192,DeJuan Tribble,CHARGERS,DB,Boston College
2008,6,27,193,Jaymar Johnson,VIKINGS,WR,Jackson State
2008,6,28,194,Ryan Mundy,STEELERS,DB,West Virginia
2008,6,29,195,Donald Thomas,DOLPHINS, G,Connecticut
2008,6,30,196,Tom Santi,COLTS,TE,Virginia
2008,6,31,197,Bo Ruud,PATRIOTS,LB,Nebraska
2008,6,32,198,Andre\' Woodson,GIANTS,QB,Kentucky
2008,6,33,199,Robert Henderson,GIANTS,DE,Southern Mississippi
2008,6,34,200,Joe Mays,EAGLES,LB,North Dakota State
2008,6,35,201,Steven Justice,COLTS, C,Wake Forest
2008,6,36,202,Mike Hart,COLTS,RB,Michigan
2008,6,37,203,Andrew Studebaker,EAGLES,DE,Wheaton
2008,6,38,204,Lex Hilliard,DOLPHINS,RB,Montana
2008,6,39,205,Pierre Garcon,COLTS,WR,Mount Union
2008,6,40,206,Haruki Nakamura,RAVENS,DB,Cincinnati
2008,6,41,207,Matt Sherry,BENGALS,TE,Villanova
2008,7,1,208,Ervin Baldwin,BEARS,DE,Michigan State
2008,7,2,209,Matt Flynn,PACKERS,QB,Louisiana State
2008,7,3,210,Brian Johnston,CHIEFS,DE,Gardner-Webb
2008,7,4,211,Nate Garner,JETS, T,Arkansas
2008,7,5,212,Wilrey Fontenot,FALCONS,DB,Arizona
2008,7,6,213,Chauncey Washington,JAGUARS,RB,USC
2008,7,7,214,Larry Grant,49ERS,LB,Ohio State
2008,7,8,215,Justin Harper,RAVENS,WR,Virginia Tech
2008,7,9,216,Landon Cohen,LIONS,DT,Ohio
2008,7,10,217,Brett Swain,PACKERS,WR,San Diego State
2008,7,11,218,Caleb Campbell,LIONS,DB,Army
2008,7,12,219,Demetrius Bell,BILLS, T,Northwestern State
2008,7,13,220,Joshua Barrett,BRONCOS,DB,Arizona State
2008,7,14,221,Hilee Taylor,PANTHERS,LB,North Carolina
2008,7,15,222,Chester Adams,BEARS, G,Georgia
2008,7,16,223,Alex Brink,TEXANS,QB,Washington State
2008,7,17,224,Steve Johnson,BILLS,WR,Kentucky
2008,7,18,225,Brandon Keith,CARDINALS, T,Northern Iowa
2008,7,19,226,Chaz Schilens,RAIDERS,WR,San Diego State
2008,7,20,227,Peyton Hillis,BRONCOS,RB,Arkansas
2008,7,21,228,Chris Chamberlain,RAMS,LB,Tulsa
2008,7,22,229,Cary Williams,TITANS,DB,Washburn
2008,7,23,230,King Dunlap,EAGLES, T,Auburn
2008,7,24,231,Alex Hall,BROWNS,DE,St. Augustine\'s
2008,7,25,232,Keith Zinger,FALCONS,TE,Louisiana State
2008,7,26,233,Justin Forsett,SEAHAWKS,RB,California
2008,7,27,234,Corey Clark,CHARGERS, T,Texas A&M
2008,7,28,235,Brandon Coutu,SEAHAWKS, K,Georgia
2008,7,29,236,Jamey Richard,COLTS, C,Buffalo
2008,7,30,237,Adrian Arrington,SAINTS,WR,Michigan
2008,7,31,238,Cory Boyd,BUCCANEERS,RB,South Carolina
2008,7,32,239,Mike Merritt,CHIEFS,TE,Central Florida
2008,7,33,240,Allen Patrick,RAVENS,RB,Oklahoma
2008,7,34,241,Geoff Schwartz,PANTHERS, T,Oregon
2008,7,35,242,Rob Jackson,TEAM,DE,Kansas State
2008,7,36,243,Joey LaRocque,BEARS,LB,Oregon State
2008,7,37,244,Angelo Craig,BENGALS,LB,Cincinnati
2008,7,38,245,Lionel Dotson,DOLPHINS,DT,Arizona
2008,7,39,246,Mario Urrutia,BENGALS,WR,Louisville
2008,7,40,247,Kirk Barton,BEARS, T,Ohio State
2008,7,41,248,Marcus Monk,BEARS,WR,Arkansas
2008,7,42,249,Christopher Horton,TEAM,DB,UCLA
2008,7,43,250,Mackenzy Bernadeau,PANTHERS, G,Bentley
2008,7,44,251,Kennard Cox,BILLS,DB,Pittsburgh
2008,7,45,252,David Vobora,RAMS,LB,Idaho
2009,1,1,1,Matthew Stafford,LIONS,QB,Georgia
2009,1,2,2,Jason Smith,RAMS, T,Baylor
2009,1,3,3,Tyson Jackson,CHIEFS,DE,Louisiana State
2009,1,4,4,Aaron Curry,SEAHAWKS,LB,Wake Forest
2009,1,5,5,Mark Sanchez,JETS,QB,USC
2009,1,6,6,Andre Smith,BENGALS, T,Alabama
2009,1,7,7,Darrius Heyward-Bey,RAIDERS,WR,Maryland
2009,1,8,8,Eugene Monroe,JAGUARS, T,Virginia
2009,1,9,9,B.J. Raji,PACKERS,DT,Boston College
2009,1,10,10,Michael Crabtree,49ERS,WR,Texas Tech
2009,1,11,11,Aaron Maybin,BILLS,DE,Penn State
2009,1,12,12,Knowshon Moreno,BRONCOS,RB,Georgia
2009,1,13,13,Brian Orakpo,TEAM,LB,Texas
2009,1,14,14,Malcolm Jenkins,SAINTS,DB,Ohio State
2009,1,15,15,Brian Cushing,TEXANS,LB,USC
2009,1,16,16,Larry English,CHARGERS,LB,Northern Illinois
2009,1,17,17,Josh Freeman,BUCCANEERS,QB,Kansas State
2009,1,18,18,Robert Ayers,BRONCOS,DE,Tennessee
2009,1,19,19,Jeremy Maclin,EAGLES,WR,Missouri
2009,1,20,20,Brandon Pettigrew,LIONS,TE,Oklahoma State
2009,1,21,21,Alex Mack,BROWNS, C,California
2009,1,22,22,Percy Harvin,VIKINGS,WR,Florida
2009,1,23,23,Michael Oher,RAVENS, T,Mississippi
2009,1,24,24,Peria Jerry,FALCONS,DT,Mississippi
2009,1,25,25,Vontae Davis,DOLPHINS,DB,Illinois
2009,1,26,26,Clay Matthews,PACKERS,LB,USC
2009,1,27,27,Donald Brown,COLTS,RB,Connecticut
2009,1,28,28,Eric Wood,BILLS, C,Louisville
2009,1,29,29,Hakeem Nicks,GIANTS,WR,North Carolina
2009,1,30,30,Kenny Britt,TITANS,WR,Rutgers
2009,1,31,31,Beanie Wells,CARDINALS,RB,Ohio State
2009,1,32,32,Ziggy Hood,STEELERS,DT,Missouri
2009,2,1,33,Louis Delmas,LIONS,DB,Western Michigan
2009,2,2,34,Patrick Chung,PATRIOTS,DB,Oregon
2009,2,3,35,James Laurinaitis,RAMS,LB,Ohio State
2009,2,4,36,Brian Robiskie,BROWNS,WR,Ohio State
2009,2,5,37,Alphonso Smith,BRONCOS,DB,Wake Forest
2009,2,6,38,Rey Maualuga,BENGALS,LB,USC
2009,2,7,39,Eben Britton,JAGUARS, T,Arizona
2009,2,8,40,Ron Brace,PATRIOTS,DT,Boston College
2009,2,9,41,Darius Butler,PATRIOTS,DB,Connecticut
2009,2,10,42,Jairus Byrd,BILLS,DB,Oregon
2009,2,11,43,Everette Brown,PANTHERS,DE,Florida State
2009,2,12,44,Pat White,DOLPHINS,QB,West Virginia
2009,2,13,45,Clint Sintim,GIANTS,LB,Virginia
2009,2,14,46,Connor Barwin,TEXANS,DE,Cincinnati
2009,2,15,47,Michael Mitchell,RAIDERS,DB,Ohio
2009,2,16,48,Darcel McBath,BRONCOS,DB,Texas Tech
2009,2,17,49,Max Unger,SEAHAWKS, C,Oregon
2009,2,18,50,Mohamed Massaquoi,BROWNS,WR,Georgia
2009,2,19,51,Andy Levitre,BILLS, G,Oregon State
2009,2,20,52,David Veikune,BROWNS,DE,Hawaii
2009,2,21,53,LeSean McCoy,EAGLES,RB,Pittsburgh
2009,2,22,54,Phil Loadholt,VIKINGS, T,Oklahoma
2009,2,23,55,William Moore,FALCONS,DB,Missouri
2009,2,24,56,Fili Moala,COLTS,DT,USC
2009,2,25,57,Paul Kruger,RAVENS,DE,Utah
2009,2,26,58,Sebastian Vollmer,PATRIOTS, T,Houston
2009,2,27,59,Sherrod Martin,PANTHERS,DB,Troy
2009,2,28,60,William Beatty,GIANTS, T,Connecticut
2009,2,29,61,Sean Smith,DOLPHINS,DB,Utah
2009,2,30,62,Sen\'Derrick Marks,TITANS,DT,Auburn
2009,2,31,63,Cody Brown,CARDINALS,LB,Connecticut
2009,2,32,64,Richard Quinn,BRONCOS,TE,North Carolina
2009,3,1,65,Shonn Greene,JETS,RB,Iowa
2009,3,2,66,Bradley Fletcher,RAMS,DB,Iowa
2009,3,3,67,Alex Magee,CHIEFS,DT,Purdue
2009,3,4,68,Jarron Gilbert,BEARS,DE,San Jose State
2009,3,5,69,Jason Williams,COWBOYS,LB,Western Illinois
2009,3,6,70,Michael Johnson,BENGALS,DE,Georgia Tech
2009,3,7,71,Matt Shaughnessy,RAIDERS,DE,Wisconsin
2009,3,8,72,Terrance Knighton,JAGUARS,DT,Temple
2009,3,9,73,Derek Cox,JAGUARS,DB,William & Mary
2009,3,10,74,Glen Coffee,49ERS,RB,Alabama
2009,3,11,75,Robert Brewster,COWBOYS, T,Ball State
2009,3,12,76,DeAndre Levy,LIONS,LB,Wisconsin
2009,3,13,77,Antoine Caldwell,TEXANS, C,Alabama
2009,3,14,78,Louis Vasquez,CHARGERS, G,Texas Tech
2009,3,15,79,Kraig Urbik,STEELERS, T,Wisconsin
2009,3,16,80,Kevin Barnes,TEAM,DB,Maryland
2009,3,17,81,Roy Miller,BUCCANEERS,DT,Texas
2009,3,18,82,Derrick Williams,LIONS,WR,Penn State
2009,3,19,83,Brandon Tate,PATRIOTS,WR,North Carolina
2009,3,20,84,Mike Wallace,STEELERS,WR,Mississippi
2009,3,21,85,Ramses Barden,GIANTS,WR,Cal Poly
2009,3,22,86,Asher Allen,VIKINGS,DB,Georgia
2009,3,23,87,Patrick Turner,DOLPHINS,WR,USC
2009,3,24,88,Lardarius Webb,RAVENS,DB,Nicholls State
2009,3,25,89,Jared Cook,TITANS ,TE,South Carolina
2009,3,26,90,Christopher Owens,FALCONS,DB,San Jose State
2009,3,27,91,Deon Butler,SEAHAWKS ,WR,Penn State
2009,3,28,92,Jerraud Powers,COLTS,DB,Auburn
2009,3,29,93,Corvey Irvin,PANTHERS,DT,Georgia
2009,3,30,94,Ryan Mouton,TITANS,DB,Hawaii
2009,3,31,95,Rashad Johnson,CARDINALS,DB,Alabama
2009,3,32,96,Keenan Lewis,STEELERS,DB,Oregon State
2009,3,33,97,Tyrone McKenzie,PATRIOTS ,LB,South Florida
2009,3,34,98,Chase Coffman,BENGALS ,TE,Missouri
2009,3,35,99,Juaquin Iglesias,BEARS ,WR,Oklahoma
2009,3,36,100,Travis Beckum,GIANTS ,TE,Wisconsin
2009,4,1,101,Stephen McGee,COWBOYS ,QB,Texas A&M
2009,4,2,102,Donald Washington,CHIEFS,DB,Ohio State
2009,4,3,103,Dorell Scott,RAMS,DT,Clemson
2009,4,4,104,Kaluka Maiava,BROWNS,LB,USC
2009,4,5,105,Henry Melton,BEARS ,DE,Texas
2009,4,6,106,Jonathan Luigs,BENGALS, C,Arkansas
2009,4,7,107,Mike Thomas,JAGUARS,WR,Arizona
2009,4,8,108,Brian Hartline,DOLPHINS ,WR,Ohio State
2009,4,9,109,T.J. Lang,PACKERS, T,Eastern Michigan
2009,4,10,110,Victor Butler,COWBOYS ,DE,Oregon State
2009,4,11,111,Mike Goodson,PANTHERS ,RB,Texas A&M
2009,4,12,112,Glover Quin,TEXANS,DB,New Mexico
2009,4,13,113,Vaughn Martin,CHARGERS,DT,Western Ontario
2009,4,14,114,David Bruton,BRONCOS,DB,Notre Dame
2009,4,15,115,Sammie Lee Hill,LIONS ,DT,Stillman
2009,4,16,116,Chip Vaughn,SAINTS,DB,Wake Forest
2009,4,17,117,Kyle Moore,BUCCANEERS ,DE,USC
2009,4,18,118,Stanley Arnoux,SAINTS ,LB,Wake Forest
2009,4,19,119,D.J. Moore,BEARS,DB,Vanderbilt
2009,4,20,120,Brandon Williams,COWBOYS ,DE,Texas Tech
2009,4,21,121,Shawn Nelson,BILLS ,TE,Southern Mississippi
2009,4,22,122,Anthony Hill,TEXANS ,TE,North Carolina State
2009,4,23,123,Rich Ohrnberger,PATRIOTS , G,Penn State
2009,4,24,124,Louis Murphy,RAIDERS ,WR,Florida
2009,4,25,125,Lawrence Sidbury ,FALCONS,DE,Richmond
2009,4,26,126,Slade Norris,RAIDERS,LB,Oregon State
2009,4,27,127,Austin Collie,COLTS,WR,Brigham Young
2009,4,28,128,Tony Fiammetta,PANTHERS,RB,Syracuse
2009,4,29,129,Andre Brown,GIANTS,RB,North Carolina State
2009,4,30,130,Gerald McRath,TITANS,LB,Southern Mississippi
2009,4,31,131,Greg Toler,CARDINALS,DB,St. Pauls
2009,4,32,132,Seth Olsen,BRONCOS, G,Iowa
2009,4,33,133,Tyronne Green,CHARGERS,DT,Auburn
2009,4,34,134,Gartrell Johnson,CHARGERS,RB,Colorado State
2009,4,35,135,Troy Kropog,TITANS, T,Tulane
2009,4,36,136,Terrance Taylor,COLTS,DT,Michigan
2009,5,1,137,Jason Phillips,RAVENS,LB,Texas Christian
2009,5,2,138,William Middleton,FALCONS,DB,Furman
2009,5,3,139,Colin Brown,CHIEFS, T,Missouri
2009,5,4,140,Johnny Knox,BEARS,WR,Abilene Christian
2009,5,5,141,Kenny McKinley,BRONCOS,WR,South Carolina
2009,5,6,142,Kevin Huber,BENGALS, P,Cincinnati
2009,5,7,143,DeAngelo Smith,COWBOYS,DB,Cincinnati
2009,5,8,144,Jarett Dillard,JAGUARS,WR,Rice
2009,5,9,145,Quinn Johnson,PACKERS,RB,Louisiana State
2009,5,10,146,Scott McKillop,49ERS,LB,Pittsburgh
2009,5,11,147,Nic Harris,BILLS,DB,Oklahoma
2009,5,12,148,Brandon Hughes,CHARGERS,DB,Oregon State
2009,5,13,149,Davon Drew,RAVENS,TE,East Carolina
2009,5,14,150,Jasper Brinkley,VIKINGS,LB,South Carolina
2009,5,15,151,Rhett Bomar,GIANTS ,QB,Sam Houston State
2009,5,16,152,James Casey,TEXANS,TE,Rice
2009,5,17,153,Cornelius Ingram,EAGLES ,TE,Florida
2009,5,18,154,Marcus Freeman,BEARS,LB,Ohio State
2009,5,19,155,Xavier Fulton,BUCCANEERS, T,Illinois
2009,5,20,156,Garrett Reynolds,FALCONS , T,North Carolina
2009,5,21,157,Victor Harris,EAGLES,DB,Virginia Tech
2009,5,22,158,Cody Glenn,TEAM ,LB,Nebraska
2009,5,23,159,Fenuki Tupou,EAGLES , T,Oregon
2009,5,24,160,Brooks Foster,RAMS ,WR,North Carolina
2009,5,25,161,John Nalbone,DOLPHINS,TE,Monmouth
2009,5,26,162,Jamon Meredith,PACKERS , T,South Carolina
2009,5,27,163,Duke Robinson,PANTHERS, T,Oklahoma
2009,5,28,164,Thomas Morstead,SAINTS , P,Southern Methodist
2009,5,29,165,Chris Clemons,DOLPHINS ,DB,Clemson
2009,5,30,166,Michael Hamlin,COWBOYS ,DB,Clemson
2009,5,31,167,Herman Johnson,CARDINALS, T,Louisiana State
2009,5,32,168,Joe Burnett,STEELERS,DB,Central Florida
2009,5,33,169,Frank Summers,STEELERS ,RB,UNLV
2009,5,34,170,George Bussey,PATRIOTS , T,Louisville
2009,5,35,171,Nate Davis,49ERS,QB,Ball State
2009,5,36,172,David Buehler,COWBOYS , K,USC
2009,5,37,173,Javon Ringer,TITANS ,RB,Michigan State
2009,6,1,174,Tom Brandstater,BRONCOS ,QB,Fresno State
2009,6,2,175,Quinten Lawrence,CHIEFS,WR,McNeese State
2009,6,3,176,Spencer Adkins,FALCONS ,LB,Miami (FL)
2009,6,4,177,Don Carey,BROWNS,DB,Norfolk State
2009,6,5,178,Mike Teel,SEAHAWKS,QB,Rutgers
2009,6,6,179,Morgan Trent,BENGALS,DB,Michigan
2009,6,7,180,Zach Miller,JAGUARS,TE,Nebraska-Omaha
2009,6,8,181,Andrew Gardner,DOLPHINS , T,Georgia Tech
2009,6,9,182,Jarius Wynn,PACKERS,DE,Georgia
2009,6,10,183,Cary Harris,BILLS,DB,USC
2009,6,11,184,Bear Pascoe,49ERS,TE,Fresno State
2009,6,12,185,Cedric Peerman,RAVENS ,RB,Virginia
2009,6,13,186,Robert Henson,TEAM,LB,Texas Christian
2009,6,14,187,Brandon Underwood,PACKERS,DB,Cincinnati
2009,6,15,188,Brice McCain,TEXANS,DB,Utah
2009,6,16,189,Kevin Ellison,CHARGERS,DB,USC
2009,6,17,190,Al Afalava,BEARS,DB,Oregon State
2009,6,18,191,Coye Francies,BROWNS,DB,San Jose State
2009,6,19,192,Aaron Brown,LIONS,RB,Texas Christian
2009,6,20,193,Matt Slauson,JETS, G,Nebraska
2009,6,21,194,Brandon Gibson,EAGLES,WR,Washington State
2009,6,22,195,James Davis,BROWNS,RB,Clemson
2009,6,23,196,Keith Null,RAMS,QB,West Texas A&M
2009,6,24,197,Stephen Hodge,COWBOYS,DB,Texas Christian
2009,6,25,198,Jake Ingram,PATRIOTS, C,Hawaii
2009,6,26,199,Stryker Sulak,RAIDERS,DE,Missouri
2009,6,27,200,DeAndre Wright,GIANTS,DB,New Mexico
2009,6,28,201,Curtis Painter,COLTS,QB,Purdue
2009,6,29,202,Brandon Myers,RAIDERS,TE,Iowa
2009,6,30,203,Jason McCourty,TITANS,DB,Rutgers
2009,6,31,204,Will Davis,CARDINALS,DE,Illinois
2009,6,32,205,Ra\'Shon Harris,STEELERS,DT,Oregon
2009,6,33,206,Dominique Edison,TITANS,WR,Stephen F. Austin
2009,6,34,207,Myron Pryor,PATRIOTS,DT,Kentucky
2009,6,35,208,John Phillips,COWBOYS,TE,Virginia
2009,6,36,209,Bernard Scott,BENGALS,RB,Abilene Christian
2009,7,1,210,Vance Walker,FALCONS,DT,Georgia Tech
2009,7,2,211,Chris Ogbonnaya,RAMS,RB,Texas
2009,7,3,212,Javarris Williams,CHIEFS,RB,Tennessee State
2009,7,4,213,Paul Fanaika,EAGLES, G,Arizona State
2009,7,5,214,J.D. Folsom,DOLPHINS,LB,Weber State
2009,7,6,215,Fui Vakapuna,BENGALS,RB,Brigham Young
2009,7,7,216,Captain Munnerlyn,PANTHERS,DB,South Carolina
2009,7,8,217,E.J. Biggers,BUCCANEERS,DB,Western Michigan
2009,7,9,218,Brad Jones,PACKERS,LB,Colorado
2009,7,10,219,Curtis Taylor,49ERS,DB,Louisiana State
2009,7,11,220,Ellis Lankster,BILLS,DB,West Virginia
2009,7,12,221,Eddie Williams,TEAM,TE,Idaho
2009,7,13,222,Pat McAfee,COLTS, P,West Virginia
2009,7,14,223,Troy Nolan,TEXANS,DB,Arizona State
2009,7,15,224,Demetrius Byrd,CHARGERS,WR,Louisiana State
2009,7,16,225,Blake Schlueter,BRONCOS, C,Texas Christian
2009,7,17,226,A.Q. Shipley,STEELERS, C,Penn State
2009,7,18,227,Mike Mickens,COWBOYS,DB,Cincinnati
2009,7,19,228,Lydon Murtha,LIONS, T,Nebraska
2009,7,20,229,Manuel Johnson,COWBOYS,WR,Oklahoma
2009,7,21,230,Moise Fokou,EAGLES,LB,Maryland
2009,7,22,231,Jamarca Sanford,VIKINGS,DB,Mississippi
2009,7,23,232,Julian Edelman,PATRIOTS,WR,Kent State
2009,7,24,233,Sammie Stroughter,BUCCANEERS,WR,Oregon State
2009,7,25,234,Darryl Richard,PATRIOTS,DT,Georgia Tech
2009,7,26,235,Zack Follett,LIONS,LB,California
2009,7,27,236,Jaimie Thomas,COLTS, T,Maryland
2009,7,28,237,Jake O\'Connell,CHIEFS,TE,Miami (OH)
2009,7,29,238,Stoney Woodson,GIANTS,DB,South Carolina
2009,7,30,239,Ryan Durand,TITANS, G,Syracuse
2009,7,31,240,LaRod Stephens-Howling,CARDINALS,RB,Pittsburgh
2009,7,32,241,David Johnson,STEELERS,TE,Arkansas State
2009,7,33,242,Nick Schommer,TITANS,DB,North Dakota State
2009,7,34,243,Marko Mitchell,TEAM,WR,Nevada
2009,7,35,244,Ricky Jean Francois,49ERS,DT,Louisiana State
2009,7,36,245,Courtney Greene,SEAHAWKS,DB,Rutgers
2009,7,37,246,Lance Louis,BEARS, G,San Diego State
2009,7,38,247,Nick Reed,SEAHAWKS,DE,Oregon
2009,7,39,248,Cameron Morrah,SEAHAWKS,TE,California
2009,7,40,249,Clinton McDonald,BENGALS,DE,Memphis
2009,7,41,250,Rashad Jennings,JAGUARS,RB,Liberty
2009,7,42,251,Derek Kinder,BEARS,WR,Pittsburgh
2009,7,43,252,Freddie Brown,BENGALS,WR,Utah
2009,7,44,253,Tiquan Underwood,JAGUARS,WR,Rutgers
2009,7,45,254,Trevor Canfield,CARDINALS, G,Cincinnati
2009,7,46,255,Dan Gronkowski,LIONS,TE,Maryland
2009,7,47,256,Ryan Succop,CHIEFS, K,South Carolina
2010,1,1,1,Sam Bradford,RAMS,QB,Oklahoma
2010,1,2,2,Ndamukong Suh,LIONS,DT,Nebraska
2010,1,3,3,Gerald McCoy,BUCCANEERS,DT,Oklahoma
2010,1,4,4,Trent Williams,TEAM, T,Oklahoma
2010,1,5,5,Eric Berry,CHIEFS,DB,Tennessee
2010,1,6,6,Russell Okung,SEAHAWKS, T,Oklahoma State
2010,1,7,7,Joe Haden,BROWNS,DB,Florida
2010,1,8,8,Rolando McClain,RAIDERS,LB,Alabama
2010,1,9,9,C.J. Spiller,BILLS,RB,Clemson
2010,1,10,10,Tyson Alualu,JAGUARS,DE,California
2010,1,11,11,Anthony Davis,49ERS, T,Rutgers
2010,1,12,12,Ryan Mathews,CHARGERS,RB,Fresno State
2010,1,13,13,Brandon Graham,EAGLES,LB,Michigan
2010,1,14,14,Earl Thomas,SEAHAWKS,DB,Texas
2010,1,15,15,Jason Pierre-Paul,GIANTS,DE,South Florida
2010,1,16,16,Derrick Morgan,TITANS,DE,Georgia Tech
2010,1,17,17,Mike Iupati,49ERS, G,Idaho
2010,1,18,18,Maurkice Pouncey,STEELERS, C,Florida
2010,1,19,19,Sean Weatherspoon,FALCONS,LB,Missouri
2010,1,20,20,Kareem Jackson,TEXANS,DB,Alabama
2010,1,21,21,Jermaine Gresham,BENGALS,TE,Oklahoma
2010,1,22,22,Demaryius Thomas,BRONCOS,WR,Georgia Tech
2010,1,23,23,Bryan Bulaga,PACKERS, T,Iowa
2010,1,24,24,Dez Bryant,COWBOYS,WR,Oklahoma State
2010,1,25,25,Tim Tebow,BRONCOS,QB,Florida
2010,1,26,26,Dan Williams,CARDINALS,DT,Tennessee
2010,1,27,27,Devin McCourty,PATRIOTS,DB,Rutgers
2010,1,28,28,Jared Odrick,DOLPHINS,DT,Penn State
2010,1,29,29,Kyle Wilson,JETS,DB,Boise State
2010,1,30,30,Jahvid Best,LIONS,RB,California
2010,1,31,31,Jerry Hughes,COLTS,LB,Texas Christian
2010,1,32,32,Patrick Robinson,SAINTS,DB,Florida State
2010,2,1,33,Rodger Saffold,RAMS, T,Indiana
2010,2,2,34,Chris Cook,VIKINGS,DB,Virginia
2010,2,3,35,Brian Price,BUCCANEERS,DT,UCLA
2010,2,4,36,Dexter McCluster,CHIEFS,RB,Mississippi
2010,2,5,37,Nate Allen,EAGLES,DB,South Florida
2010,2,6,38,T.J. Ward,BROWNS,DB,Oregon
2010,2,7,39,Arrelious Benn,BUCCANEERS,WR,Illinois
2010,2,8,40,Koa Misi,DOLPHINS,LB,Utah
2010,2,9,41,Torrell Troup,BILLS,DT,Central Florida
2010,2,10,42,Rob Gronkowski,PATRIOTS,TE,Arizona
2010,2,11,43,Sergio Kindle,RAVENS,LB,Texas
2010,2,12,44,LaMarr Houston,RAIDERS,DT,Texas
2010,2,13,45,Zane Beadles,BRONCOS, G,Utah
2010,2,14,46,Linval Joseph,GIANTS,DT,East Carolina
2010,2,15,47,Daryl Washington,CARDINALS,LB,Texas Christian
2010,2,16,48,Jimmy Clausen,PANTHERS,QB,Notre Dame
2010,2,17,49,Taylor Mays,49ERS,DB,USC
2010,2,18,50,Javier Arenas,CHIEFS,DB,Alabama
2010,2,19,51,Toby Gerhart,VIKINGS,RB,Stanford
2010,2,20,52,Jason Worilds,STEELERS,LB,Virginia Tech
2010,2,21,53,Jermaine Cunningham,PATRIOTS,LB,Florida
2010,2,22,54,Carlos Dunlap,BENGALS,DE,Florida
2010,2,23,55,Sean Lee,COWBOYS,LB,Penn State
2010,2,24,56,Michael Neal,PACKERS,DT,Purdue
2010,2,25,57,Terrence Cody,RAVENS,DT,Alabama
2010,2,26,58,Ben Tate,TEXANS,RB,Auburn
2010,2,27,59,Montario Hardesty,BROWNS,RB,Tennessee
2010,2,28,60,Golden Tate,SEAHAWKS,WR,Notre Dame
2010,2,29,61,Vladimir Ducasse,JETS, G,Massachusetts
2010,2,30,62,Brandon Spikes,PATRIOTS,LB,Florida
2010,2,31,63,Patrick Angerer,COLTS,LB,Iowa
2010,2,32,64,Charles Brown,SAINTS, T,USC
2010,3,1,65,Jerome Murphy,RAMS,DB,South Florida
2010,3,2,66,Amari Spievey,LIONS,DB,Iowa
2010,3,3,67,Myron Lewis,BUCCANEERS,DB,Vanderbilt
2010,3,4,68,Jon Asamoah,CHIEFS, G,Illinois
2010,3,5,69,Jared Veldheer,RAIDERS, T,Hillsdale
2010,3,6,70,Ed Dickson,RAVENS,TE,Oregon
2010,3,7,71,Morgan Burnett,PACKERS,DB,Georgia Tech
2010,3,8,72,Alex Carrington,BILLS,DE,Arkansas State
2010,3,9,73,John Jerry,DOLPHINS, G,Mississippi
2010,3,10,74,D\'Anthony Smith,JAGUARS,DT,Louisiana Tech
2010,3,11,75,Major Wright,BEARS,DB,Florida
2010,3,12,76,Chad Jones,GIANTS,DB,Louisiana State
2010,3,13,77,Damian Williams,TITANS,WR,USC
2010,3,14,78,Brandon LaFell,PANTHERS,WR,Louisiana State
2010,3,15,79,Donald Butler,CHARGERS,LB,Washington
2010,3,16,80,J.D. Walton,BRONCOS, C,Baylor
2010,3,17,81,Earl Mitchell,TEXANS,DT,Arizona
2010,3,18,82,Emmanuel Sanders,STEELERS,WR,Southern Methodist
2010,3,19,83,Corey Peters,FALCONS,DT,Kentucky
2010,3,20,84,Jordan Shipley,BENGALS,WR,Texas
2010,3,21,85,Colt McCoy,BROWNS,QB,Texas
2010,3,22,86,Daniel Te\'p-Nesheim,EAGLES,DE,Washington
2010,3,23,87,Eric Decker,BRONCOS,WR,Minnesota
2010,3,24,88,Andre Roberts,CARDINALS,WR,Citadel
2010,3,25,89,Armanti Edwards,PANTHERS,WR,Appalachian State
2010,3,26,90,Taylor Price,PATRIOTS,WR,Ohio
2010,3,27,91,NaVorro Bowman,49ERS,LB,Penn State
2010,3,28,92,Shawn Lauvao,BROWNS, G,Arizona State
2010,3,29,93,Tony Moeaki,CHIEFS,TE,Iowa
2010,3,30,94,Kevin Thomas,COLTS,DB,USC
2010,3,31,95,Jimmy Graham,SAINTS,TE,Miami (FL)
2010,3,32,96,Brandon Ghee,BENGALS,DB,Wake Forest
2010,3,33,97,Rennie Curran,TITANS,LB,Georgia
2010,3,34,98,Mike Johnson,FALCONS, G,Alabama
2010,4,1,99,Mardy Gilyard,RAMS,WR,Cincinnati
2010,4,2,100,Everson Griffen,VIKINGS,DE,USC
2010,4,3,101,Mike Williams,BUCCANEERS,WR,Syracuse
2010,4,4,102,Darryl Sharpton,TEXANS,LB,Miami (FL)
2010,4,5,103,Perry Riley,TEAM,LB,Louisiana State
2010,4,6,104,Alterraun Verner,TITANS,DB,UCLA
2010,4,7,105,Trevard Lindley,EAGLES,DB,Kentucky
2010,4,8,106,Bruce Campbell,RAIDERS, T,Maryland
2010,4,9,107,Marcus Easley,BILLS,WR,Connecticut
2010,4,10,108,Jacoby Ford,RAIDERS,WR,Clemson
2010,4,11,109,Corey Wootton,BEARS,DE,Northwestern
2010,4,12,110,Darrell Stuckey,CHARGERS,DB,Kansas
2010,4,13,111,Walter Thurmond,SEAHAWKS,DB,Oregon
2010,4,14,112,Joe McKnight,JETS,RB,USC
2010,4,15,113,Aaron Hernandez,PATRIOTS,TE,Florida
2010,4,16,114,Dennis Pitta,RAVENS,TE,Brigham Young
2010,4,17,115,Phillip Dillard,GIANTS,LB,Nebraska
2010,4,18,116,Thaddeus Gibson,STEELERS,LB,Ohio State
2010,4,19,117,Joseph Hawley,FALCONS, G,UNLV
2010,4,20,118,Garrett Graham,TEXANS,TE,Wisconsin
2010,4,21,119,A.J. Edds,DOLPHINS,LB,Iowa
2010,4,22,120,Geno Atkins,BENGALS,DT,Georgia
2010,4,23,121,Keenan Clayton,EAGLES,LB,Oklahoma
2010,4,24,122,Mike Kafka,EAGLES,QB,Northwestern
2010,4,25,123,Al Woods,SAINTS,DT,Louisiana State
2010,4,26,124,Eric Norwood,PANTHERS,LB,South Carolina
2010,4,27,125,Clay Harbor,EAGLES,TE,Missouri State
2010,4,28,126,Akwasi Owusu-Ansah,COWBOYS,DB,Indiana (PA)
2010,4,29,127,E.J. Wilson,SEAHAWKS,DE,North Carolina
2010,4,30,128,Jason Fox,LIONS, T,Miami (FL)
2010,4,31,129,Jacques McClendon,COLTS, G,Tennessee
2010,4,32,130,O\'Brien Schofield,CARDINALS,LB,Wisconsin
2010,4,33,131,Roddrick Muckelroy,BENGALS,LB,Texas
2010,5,1,132,Mike Hoomanawanui,RAMS,TE,Illinois
2010,5,2,133,Kam Chancellor,SEAHAWKS,DB,Virginia Tech
2010,5,3,134,Ricky Sapp,EAGLES,DE,Clemson
2010,5,4,135,Dominique Franks,FALCONS,DB,Oklahoma
2010,5,5,136,Kendrick Lewis,CHIEFS,DB,Mississippi
2010,5,6,137,Perrish Cox,BRONCOS,DB,Oklahoma State
2010,5,7,138,Walter McFadden,RAIDERS,DB,Auburn
2010,5,8,139,John Conner,JETS,RB,Kentucky
2010,5,9,140,Edward Wang,BILLS, T,Virginia Tech
2010,5,10,141,Joshua Moore,BEARS,DB,Kansas State
2010,5,11,142,Cameron Sheffield,CHIEFS,LB,Troy
2010,5,12,143,Larry Hart,JAGUARS,DE,Central Arkansas
2010,5,13,144,Sherrick McManis,TEXANS,DB,Northwestern
2010,5,14,145,Nolan Carroll,DOLPHINS,DB,Maryland
2010,5,15,146,Cam Thomas,CHARGERS,DT,North Carolina
2010,5,16,147,Mitch Petrus,GIANTS, G,Arkansas
2010,5,17,148,Robert Johnson,TITANS,DB,Utah
2010,5,18,149,Hall Davis,RAMS,DE,Louisiana-Lafayette
2010,5,19,150,Zoltan Mesko,PATRIOTS, P,Michigan
2010,5,20,151,Chris Scott,STEELERS, G,Tennessee
2010,5,21,152,Otis Hudson,BENGALS, T,Eastern Illinois
2010,5,22,153,Austen Lane,JAGUARS,DE,Murray State
2010,5,23,154,Andrew Quarless,PACKERS,TE,Penn State
2010,5,24,155,John Skelton,CARDINALS,QB,Fordham
2010,5,25,156,David Reed,RAVENS,WR,Utah
2010,5,26,157,Arthur Jones,RAVENS,DT,Syracuse
2010,5,27,158,Matt Tennant,SAINTS, C,Boston College
2010,5,28,159,Riley Cooper,EAGLES,WR,Florida
2010,5,29,160,Larry Asante,BROWNS,DB,Nebraska
2010,5,30,161,Chris DeGeare,VIKINGS, G,Wake Forest
2010,5,31,162,Brody Eldridge,COLTS,TE,Oklahoma
2010,5,32,163,Reshad Jones,DOLPHINS,DB,Georgia
2010,5,33,164,Crezdon Butler,STEELERS,DB,Clemson
2010,5,34,165,Kerry Meier,FALCONS,WR,Kansas
2010,5,35,166,Stevenson Sylvester,STEELERS,LB,Utah
2010,5,36,167,Nathan Triplett,VIKINGS,LB,Minnesota
2010,5,37,168,Jonathan Crompton,CHARGERS,QB,Tennessee
2010,5,38,169,Marshall Newhouse,PACKERS, G,Texas Christian
2010,6,1,170,Fendi Onobun,RAMS,TE,Houston
2010,6,2,171,Shann Schillinger,FALCONS,DB,Montana
2010,6,3,172,Brent Bowden,BUCCANEERS, P,Virginia Tech
2010,6,4,173,Anthony Dixon,49ERS,RB,Mississippi State
2010,6,5,174,Dennis Morris,TEAM,TE,Louisiana Tech
2010,6,6,175,Greg Hardy,PANTHERS,DE,Mississippi
2010,6,7,176,Rusty Smith,TITANS,QB,Florida Atlantic
2010,6,8,177,Carlton Mitchell,BROWNS,WR,South Florida
2010,6,9,178,Arthur Moats,BILLS,LB,James Madison
2010,6,10,179,Sam Young,COWBOYS, T,Notre Dame
2010,6,11,180,Deji Karim,JAGUARS,RB,Southern Illinois
2010,6,12,181,Dan LeFevour,BEARS,QB,Central Michigan
2010,6,13,182,Nate Byham,49ERS,TE,Pittsburgh
2010,6,14,183,Eric Olsen,BRONCOS, C,Notre Dame
2010,6,15,184,Adrian Tracy,GIANTS,LB,William & Mary
2010,6,16,185,Anthony McCoy,SEAHAWKS,TE,USC
2010,6,17,186,Clifton Geathers,BROWNS,DE,South Carolina
2010,6,18,187,Shelley Smith,TEXANS, G,Colorado State
2010,6,19,188,Jonathan Dwyer,STEELERS,RB,Georgia Tech
2010,6,20,189,Eugene Sims,RAMS,DE,West Texas A&M
2010,6,21,190,Travis Goethel,RAIDERS,LB,Arizona State
2010,6,22,191,Dezmon Briscoe,BENGALS,WR,Kansas
2010,6,23,192,Dan Batten,BILLS,DE,South Dakota State
2010,6,24,193,James Stark,PACKERS,RB,Buffalo
2010,6,25,194,Ramon Harewood,RAVENS, T,Morehouse (GA)
2010,6,26,195,Antonio Brown,STEELERS,WR,Central Michigan
2010,6,27,196,Jamar Wall,COWBOYS,DB,Texas Tech
2010,6,28,197,Trindon Holliday,TEXANS,RB,Louisiana State
2010,6,29,198,David Gettis,PANTHERS,WR,Baylor
2010,6,30,199,Joe Webb,VIKINGS,QB,Alabama-Birmingham
2010,6,31,200,Charles Scott,EAGLES,RB,Louisiana State
2010,6,32,201,Jorrick Calvin,CARDINALS,DB,Troy
2010,6,33,202,Jordon Pugh,PANTHERS,DB,Texas A&M
2010,6,34,203,Scotty McGee,JAGUARS,DB,James Madison
2010,6,35,204,Tony Pike,PANTHERS,QB,Cincinnati
2010,6,36,205,Ted Larsen,PATRIOTS, C,North Carolina State
2010,6,37,206,Kyle Williams,49ERS,WR,Arizona State
2010,6,38,207,Myron Rolle,TITANS,DB,Florida State
2010,7,1,208,Thomas Welch,PATRIOTS, T,Vanderbilt
2010,7,2,209,Levi Brown,BILLS,QB,Troy
2010,7,3,210,Cody Grim,BUCCANEERS,DB,Virginia Tech
2010,7,4,211,Marquis Johnson,RAMS,DB,Alabama
2010,7,5,212,Chris McCoy,DOLPHINS,LB,Middle Tennessee State
2010,7,6,213,Willie Young,LIONS,DE,North Carolina State
2010,7,7,214,Mickey Shuler,VIKINGS,TE,Penn State
2010,7,8,215,Jeremy Ware,RAIDERS,DB,Michigan State
2010,7,9,216,Kyle Calloway,BILLS, T,Iowa
2010,7,10,217,Dekoda Watson,BUCCANEERS,LB,Florida State
2010,7,11,218,J\'marcus Webb,BEARS, T,West Texas State
2010,7,12,219,Terrence Austin,TEAM,WR,UCLA
2010,7,13,220,Jamar Chaney,EAGLES,LB,Mississippi State
2010,7,14,221,Matt Dodge,GIANTS, P,East Carolina
2010,7,15,222,Marc Mariani,TITANS,WR,Montana
2010,7,16,223,R.J. Stanford,PANTHERS,DB,Utah
2010,7,17,224,Phillip Adams,49ERS,DB,South Carolina State
2010,7,18,225,Syd\'Quan Thompson,BRONCOS,DB,California
2010,7,19,226,George Selvie,RAMS,DE,South Florida
2010,7,20,227,Dorin Dickerson,TEXANS,TE,Pittsburgh
2010,7,21,228,Reginald Stephens,BENGALS, G,Iowa State
2010,7,22,229,Erik Cook,TEAM, G,New Mexico
2010,7,23,230,C.J. Wilson,PACKERS,DE,East Carolina
2010,7,24,231,Selvish Capers,TEAM, T,West Virginia
2010,7,25,232,Jammie Kirlew,BRONCOS,DE,Indiana
2010,7,26,233,Jim Dray,CARDINALS,TE,Stanford
2010,7,27,234,Sean Lissemore,COWBOYS,DT,William & Mary
2010,7,28,235,Dedrick Epps,CHARGERS,TE,Miami (FL)
2010,7,29,236,Dexter Davis,SEAHAWKS,LB,Arizona
2010,7,30,237,Ryan D\'Imperio,VIKINGS,LB,Rutgers
2010,7,31,238,Ricardo Mathews,COLTS,DT,Cincinnati
2010,7,32,239,Sean Canfield,SAINTS,QB,Oregon State
2010,7,33,240,Kavell Conner,COLTS,LB,Clemson
2010,7,34,241,David Howard,TITANS,DT,Brown
2010,7,35,242,Doug Worthington,STEELERS,DE,Ohio State
2010,7,36,243,Jeffrey Owens,EAGLES,DT,Georgia
2010,7,37,244,Kurt Coleman,EAGLES,DB,Ohio State
2010,7,38,245,Jameson Konz,SEAHAWKS,RB,Kent State
2010,7,39,246,Ray Fisher,COLTS,DB,Indiana
2010,7,40,247,Brandon Deaderick,PATRIOTS,LB,Alabama
2010,7,41,248,Kade Weston,PATRIOTS,DE,Georgia
2010,7,42,249,Robert McClain,PANTHERS,DB,Connecticut
2010,7,43,250,Zac Robinson,PATRIOTS,QB,Oklahoma State
2010,7,44,251,Stevie Brown,RAIDERS,DB,Michigan
2010,7,45,252,Austin Spitler,DOLPHINS,LB,Ohio State
2010,7,46,253,Erik Lorig,BUCCANEERS,DE,Stanford
2010,7,47,254,Josh Hull,RAMS,LB,Penn State
2010,7,48,255,Timothy Toone,LIONS,WR,Weber State
2011,1,1,1,Cam Newton,PANTHERS,QB,Auburn
2011,1,2,2,Von Miller,BRONCOS,LB,Texas A&M
2011,1,3,3,Marcell Dareus,BILLS,DT,Alabama
2011,1,4,4,A.J. Green,BENGALS,WR,Georgia
2011,1,5,5,Patrick Peterson,CARDINALS,DB,Louisiana State
2011,1,6,6,Julio Jones,FALCONS,WR,Alabama
2011,1,7,7,Aldon Smith,49ERS,DE,Missouri
2011,1,8,8,Jake Locker,TITANS,QB,Washington
2011,1,9,9,Tyron Smith,COWBOYS, T,USC
2011,1,10,10,Blaine Gabbert,JAGUARS,QB,Missouri
2011,1,11,11,J.J. Watt,TEXANS,DE,Wisconsin
2011,1,12,12,Christian Ponder,VIKINGS,QB,Florida State
2011,1,13,13,Nick Fairley,LIONS,DT,Auburn
2011,1,14,14,Robert Quinn,RAMS,DE,North Carolina
2011,1,15,15,Mike Pouncey,DOLPHINS, G,Florida
2011,1,16,16,Ryan Kerrigan,TEAM,LB,Purdue
2011,1,17,17,Nate Solder,PATRIOTS, T,Colorado
2011,1,18,18,Corey Liuget,CHARGERS,DT,Illinois
2011,1,19,19,Prince Amukamara,GIANTS,DB,Nebraska
2011,1,20,20,Adrian Clayborn,BUCCANEERS,DE,Iowa
2011,1,21,21,Phil Taylor,BROWNS,DT,Baylor
2011,1,22,22,Anthony Castonzo,COLTS, T,Boston College
2011,1,23,23,Danny Watkins,EAGLES, G,Baylor
2011,1,24,24,Cameron Jordan,SAINTS,DE,California
2011,1,25,25,James Carpenter,SEAHAWKS, T,Alabama
2011,1,26,26,Jonathan Baldwin,CHIEFS,WR,Pittsburgh
2011,1,27,27,Jimmy Smith,RAVENS,DB,Colorado
2011,1,28,28,Mark Ingram,SAINTS,RB,Alabama
2011,1,29,29,Gabe Carimi,BEARS, T,Wisconsin
2011,1,30,30,Muhammad Wilkerson,JETS,DT,Temple
2011,1,31,31,Cameron Heyward,STEELERS,DE,Ohio State
2011,1,32,32,Derek Sherrod,PACKERS, T,Mississippi State
2011,2,1,33,Ras-I Dowling,PATRIOTS,DB,Virginia
2011,2,2,34,Aaron Williams,BILLS,DB,Texas
2011,2,3,35,Andy Dalton,BENGALS,QB,Texas Christian
2011,2,4,36,Colin Kaepernick,49ERS,QB,Nevada
2011,2,5,37,Jabaal Sheard,BROWNS,DE,Pittsburgh
2011,2,6,38,Ryan Williams,CARDINALS,RB,Virginia Tech
2011,2,7,39,Akeem Ayers,TITANS,LB,UCLA
2011,2,8,40,Bruce Carter,COWBOYS,LB,North Carolina
2011,2,9,41,Jarvis Jenkins,TEAM,DT,Clemson
2011,2,10,42,Brooks Reed,TEXANS,DE,Arizona
2011,2,11,43,Kyle Rudolph,VIKINGS,TE,Notre Dame
2011,2,12,44,Titus Young,LIONS,WR,Boise State
2011,2,13,45,Rahim Moore,BRONCOS,DB,UCLA
2011,2,14,46,Orlando Franklin,BRONCOS, T,Miami (FL)
2011,2,15,47,Lance Kendricks,RAMS,TE,Wisconsin
2011,2,16,48,Stefen Wisniewski,RAIDERS, C,Penn State
2011,2,17,49,Benjamin Ijalana,COLTS, T,Villanova
2011,2,18,50,Marcus Gilchrist,CHARGERS,DB,Clemson
2011,2,19,51,Da\'Quan Bowers,BUCCANEERS,DE,Clemson
2011,2,20,52,Marvin Austin,GIANTS,DT,North Carolina
2011,2,21,53,Stephen Paea,BEARS,DT,Oregon State
2011,2,22,54,Jaiquawn Jarrett,EAGLES,DB,Temple
2011,2,23,55,Rodney Hudson,CHIEFS, C,Florida State
2011,2,24,56,Shane Vereen,PATRIOTS,RB,California
2011,2,25,57,Mikel Leshoure,LIONS,RB,Illinois
2011,2,26,58,Torrey Smith,RAVENS,WR,Maryland
2011,2,27,59,Greg Little,BROWNS,WR,North Carolina
2011,2,28,60,Brandon Harris,TEXANS,DB,Miami (FL)
2011,2,29,61,Jonas Mouton,CHARGERS,LB,Michigan
2011,2,30,62,Daniel Thomas,DOLPHINS,RB,Kansas State
2011,2,31,63,Marcus Gilbert,STEELERS, T,Florida
2011,2,32,64,Randall Cobb,PACKERS,WR,Kentucky
2011,3,1,65,Terrell McClain,PANTHERS,DT,South Florida
2011,3,2,66,Dontay Moch,BENGALS,LB,Nevada
2011,3,3,67,Nate Irving,BRONCOS,LB,North Carolina State
2011,3,4,68,Kelvin Sheppard,BILLS,LB,Louisiana State
2011,3,5,69,Robert Housler,CARDINALS,TE,Florida Atlantic
2011,3,6,70,Justin Houston,CHIEFS,DE,Georgia
2011,3,7,71,Demarco Murray,COWBOYS,RB,Oklahoma
2011,3,8,72,Martez Wilson,SAINTS,LB,Illinois
2011,3,9,73,Stevan Ridley,PATRIOTS,RB,Louisiana State
2011,3,10,74,Ryan Mallett,PATRIOTS,QB,Arkansas
2011,3,11,75,John Moffitt,SEAHAWKS, G,Wisconsin
2011,3,12,76,William Rackley,JAGUARS, G,Lehigh
2011,3,13,77,Jurrell Casey,TITANS,DT,USC
2011,3,14,78,Austin Pettis,RAMS,WR,Boise State
2011,3,15,79,Leonard Hankerson,TEAM,WR,Miami (FL)
2011,3,16,80,Chris Culliver,49ERS,DB,South Carolina
2011,3,17,81,Demarcus Van Dyke,RAIDERS,DB,Miami (FL)
2011,3,18,82,Vincent Brown,CHARGERS,WR,San Diego State
2011,3,19,83,Jerrel Jernigan,GIANTS,WR,Troy
2011,3,20,84,Mason Foster,BUCCANEERS,LB,Washington
2011,3,21,85,Jah Reid,RAVENS, T,Central Florida
2011,3,22,86,Allen Bailey,CHIEFS,DE,Miami (FL)
2011,3,23,87,Drake Nevis,COLTS,DT,Louisiana State
2011,3,24,88,Johnny Patrick,SAINTS,DB,Louisville
2011,3,25,89,Shareece Wright,CHARGERS,DB,USC
2011,3,26,90,Curtis Marsh,EAGLES,DB,Utah State
2011,3,27,91,Akeem Dent,FALCONS,LB,Georgia
2011,3,28,92,Joseph Barksdale,RAIDERS, T,Louisiana State
2011,3,29,93,Chris Conte,BEARS,DB,California
2011,3,30,94,Kenrick Ellis,JETS,DT,Hampton
2011,3,31,95,Curtis Brown,STEELERS,DB,Texas
2011,3,32,96,Alex Green,PACKERS,RB,Hawaii
2011,3,33,97,Slone Fua,PANTHERS,DT,Stanford
2011,4,1,98,Brandon Hogan,PANTHERS,DB,West Virginia
2011,4,2,99,K.J. Wright,SEAHAWKS,LB,Mississippi State
2011,4,3,100,Da\'Norris Searcy,BILLS,DB,North Carolina
2011,4,4,101,Clint Boling,BENGALS, G,Georgia
2011,4,5,102,Jordan Cameron,BROWNS,TE,USC
2011,4,6,103,Sam Acho,CARDINALS,LB,Texas
2011,4,7,104,Luke Stocker,BUCCANEERS,TE,Tennessee
2011,4,8,105,Roy Helu,TEAM,RB,Nebraska
2011,4,9,106,Christian Ballard,VIKINGS,DT,Iowa
2011,4,10,107,Kris Durham,SEAHAWKS,WR,Georgia
2011,4,11,108,Quinton Carter,BRONCOS,DB,Oklahoma
2011,4,12,109,Colin McCarthy,TITANS,LB,Miami (FL)
2011,4,13,110,David Arking,COWBOYS, G,Missouri State
2011,4,14,111,Edmond Gates,DOLPHINS,WR,Abilene Christian
2011,4,15,112,Greg Salas,RAMS,WR,Hawaii
2011,4,16,113,Chimdi Chekwa,RAIDERS,DB,Ohio State
2011,4,17,114,Cecil Shorts,JAGUARS,WR,Mount Union
2011,4,18,115,Kendall Hunter,49ERS,RB,Oklahoma State
2011,4,19,116,Casey Matthews,EAGLES,LB,Oregon
2011,4,20,117,James Brewer,GIANTS, T,Indiana
2011,4,21,118,Jalil Brown,CHIEFS,DB,Colorado
2011,4,22,119,Delone Carter,COLTS,RB,Syracuse
2011,4,23,120,Alex Henery,EAGLES, K,Nebraska
2011,4,24,121,Chris Prosinski,JAGUARS,DB,Wyoming
2011,4,25,122,Chris Hairston,BILLS, T,Clemson
2011,4,26,123,Tandon Doss,RAVENS,WR,Indiana
2011,4,27,124,Owen Marecic,BROWNS,RB,Stanford
2011,4,28,125,Taiwan Jones,RAIDERS,RB,Eastern Washington
2011,4,29,126,Bilal Powell,JETS,RB,Louisville
2011,4,30,127,Rashad Carmichael,TEXANS,DB,Virginia Tech
2011,4,31,128,Cortez Allen,STEELERS,DB,Citadel
2011,4,32,129,Julius Thomas,BRONCOS,TE,Portland State
2011,4,33,130,Jamie Harper,TITANS,RB,Clemson
2011,4,34,131,Davon House,PACKERS,DB,New Mexico State
2011,5,1,132,Kealoha Pilares,PANTHERS,WR,Hawaii
2011,5,2,133,Johnny White,BILLS,RB,North Carolina
2011,5,3,134,Robert Sands,BENGALS,DB,West Virginia
2011,5,4,135,Ricky Stanzi,CHIEFS,QB,Iowa
2011,5,5,136,Anthony Sherman,CARDINALS,RB,Connecticut
2011,5,6,137,Buster Skrine,BROWNS,DB,Tennessee-Chattanooga
2011,5,7,138,Marcus Cannon,PATRIOTS, T,Texas Christian
2011,5,8,139,Brandon Burton,VIKINGS,DB,Utah
2011,5,9,140,Gabe Miller,CHIEFS,LB,Oregon State
2011,5,10,141,D.J. Williams,PACKERS,TE,Arkansas
2011,5,11,142,Karl Klug,TITANS,DT,Iowa
2011,5,12,143,Josh Thomas,COWBOYS,DB,Buffalo
2011,5,13,144,Shiloh Keo,TEXANS,DB,Idaho
2011,5,14,145,Jacquizz Rodgers,FALCONS,RB,Oregon State
2011,5,15,146,Dejon Gomes,TEAM,DB,Nebraska
2011,5,16,147,Rod Isaac,JAGUARS,DB,Middle Tennessee State
2011,5,17,148,Denarius Moore,RAIDERS,WR,Tennessee
2011,5,18,149,Dion Lewis,EAGLES,RB,Pittsburgh
2011,5,19,150,Jason Pinkston,BROWNS, T,Pittsburgh
2011,5,20,151,Ahmad Black,BUCCANEERS,DB,Florida
2011,5,21,152,T.J. Yates,TEXANS,QB,North Carolina
2011,5,22,153,Jeremy Kerley,JETS,WR,Texas Christian
2011,5,23,154,Richard Sherman,SEAHAWKS,DB,Stanford
2011,5,24,155,Niles Paul,TEAM,WR,Nebraska
2011,5,25,156,Mark Legree,SEAHAWKS,DB,Appalachian State
2011,5,26,157,Douglas Hogue,LIONS,LB,Syracuse
2011,5,27,158,Jermale Hines,RAMS,DB,Ohio State
2011,5,28,159,Lee Smith,PATRIOTS,TE,Marshall
2011,5,29,160,Nathan Enderle,BEARS,QB,Idaho
2011,5,30,161,Julian Vandervele,EAGLES, G,Iowa
2011,5,31,162,Chris Carter,STEELERS,LB,Fresno State
2011,5,32,163,Daniel Kilgore,49ERS, G,Appalachian State
2011,5,33,164,Chykie Brown,RAVENS,DB,Texas
2011,5,34,165,Pernell McPhee,RAVENS,DE,Mississippi State
2011,6,1,166,Lawrence Wilson,PANTHERS,LB,Connecticut
2011,6,2,167,Ryan Whelan,BENGALS,WR,Stanford
2011,6,3,168,Demarcus Love,VIKINGS, G,Arkansas
2011,6,4,169,Chris White,BILLS,LB,Mississippi State
2011,6,5,170,Mistral Raymond,VIKINGS,DB,South Florida
2011,6,6,171,Quan Sturdivant,CARDINALS,LB,North Carolina
2011,6,7,172,Brandon Fusco,VIKINGS, C,Slippery Rock
2011,6,8,173,Byron Maxwell,SEAHAWKS,DB,Clemson
2011,6,9,174,Charles Clay,DOLPHINS,TE,Tulsa
2011,6,10,175,Byron Stingily,TITANS, T,Louisville
2011,6,11,176,Dwayne Harris,COWBOYS,WR,East Carolina
2011,6,12,177,Evan Royster,TEAM,RB,Penn State
2011,6,13,178,Aldrick Robinson,TEAM,WR,Southern Methodist
2011,6,14,179,Caleb Schlauderaff,PACKERS, G,Utah
2011,6,15,180,Tyrod Taylor,RAVENS,QB,Virginia Tech
2011,6,16,181,Richard Gordon,RAIDERS,TE,Miami (FL)
2011,6,17,182,Ronald Johnson,49ERS,WR,USC
2011,6,18,183,Jordan Todman,CHARGERS,RB,Connecticut
2011,6,19,184,David Carter,CARDINALS,DT,UCLA
2011,6,20,185,Greg Jones,GIANTS,LB,Michigan State
2011,6,21,186,D.J. Smith,PACKERS,LB,Appalachian State
2011,6,22,187,Allen Bradford,BUCCANEERS,RB,USC
2011,6,23,188,Chris Rucker,COLTS,DB,Michigan State
2011,6,24,189,Mike Mohamed,BRONCOS,LB,California
2011,6,25,190,Colin Jones,49ERS,DB,Texas Christian
2011,6,26,191,Jason Kelce,EAGLES, C,Cincinnati
2011,6,27,192,Matt Bosher,FALCONS, K,Miami (FL)
2011,6,28,193,Brian Rolle,EAGLES,LB,Ohio State
2011,6,29,194,Markell Carter,PATRIOTS,LB,Central Arkansas
2011,6,30,195,James Thomas,BEARS,LB,West Virginia
2011,6,31,196,Keith Williams,STEELERS, G,Nebraska
2011,6,32,197,Ricky Elmore,PACKERS,DE,Arizona
2011,6,33,198,Tyler Sash,GIANTS,DB,Iowa
2011,6,34,199,Jerrell Powe,CHIEFS,DT,Mississippi
2011,6,35,200,Ross Homan,VIKINGS,LB,Ohio State
2011,6,36,201,Stephen Schilling,CHARGERS, G,Michigan
2011,6,37,202,Jacquian Williams,GIANTS,LB,South Florida
2011,6,38,203,Zach Williams,PANTHERS, C,Washington State
2011,7,1,204,Virgil Green,BRONCOS,TE,Nevada
2011,7,2,205,Lazarius Levingston,SEAHAWKS,DE,Louisiana State
2011,7,3,206,Justin Rogers,BILLS,DB,Richmond
2011,7,4,207,Korey Lindsey,BENGALS,DB,Southern Illinois
2011,7,5,208,Greg McElroy,JETS,QB,Alabama
2011,7,6,209,Johnny Culbreath,LIONS, T,South Carolina State
2011,7,7,210,Andrew Jackson,FALCONS, G,Fresno State
2011,7,8,211,Bruce Miller,49ERS,LB,Central Florida
2011,7,9,212,Zach Clayton,TITANS,DT,Auburn
2011,7,10,213,Brandyn Thompson,TEAM,DB,Boise State
2011,7,11,214,Derek Newton,TEXANS, T,Arkansas State
2011,7,12,215,D\'Aundre Reed,VIKINGS,DE,Arizona
2011,7,13,216,Mikail Baker,RAMS,DB,Baylor
2011,7,14,217,Maurice Hurt,TEAM, G,Florida
2011,7,15,218,Ryan Taylor,PACKERS,TE,North Carolina
2011,7,16,219,Malcolm Williams,PATRIOTS,DB,Texas Christian
2011,7,17,220,Shaun Chapas,COWBOYS,RB,Georgia
2011,7,18,221,Da\'Rel Scott,GIANTS,RB,Maryland
2011,7,19,222,Anthony Gaitor,BUCCANEERS,DB,Florida International
2011,7,20,223,Shane Bannon,CHIEFS,RB,Yale
2011,7,21,224,Markus White,TEAM,DE,Florida State
2011,7,22,225,Anthony Allen,RAVENS,RB,Georgia Tech
2011,7,23,226,Greg Romeus,SAINTS,DE,Pittsburgh
2011,7,24,227,Scotty McKnight,JETS,WR,Colorado
2011,7,25,228,Jabara Williams,RAMS,LB,Stephen F. Austin
2011,7,26,229,Jonathan Nelson,RAMS,DB,Oklahoma
2011,7,27,230,Cliff Matthews,FALCONS,DE,South Carolina
2011,7,28,231,Frank Kearse,DOLPHINS,DT,Alabama A&M
2011,7,29,232,Baron Batch,STEELERS,RB,Texas Tech
2011,7,30,233,Lawrence Guy,PACKERS,DT,Arizona State
2011,7,31,234,Andrew Gachkar,CHARGERS,LB,Missouri
2011,7,32,235,Jimmy Wilson,DOLPHINS,DB,Montana
2011,7,33,236,Stephen Burton,VIKINGS,WR,West Texas A&M
2011,7,34,237,Greg Lloyd,EAGLES,LB,Connecticut
2011,7,35,238,Daniel Hard,BUCCANEERS,TE,Idaho
2011,7,36,239,Mike Person,49ERS, G,Montana State
2011,7,37,240,Stanley Havili,EAGLES,RB,USC
2011,7,38,241,David Ausberry,RAIDERS,WR,USC
2011,7,39,242,Malcolm Smith,SEAHAWKS,LB,USC
2011,7,40,243,Nate Bussey,SAINTS,LB,Illinois
2011,7,41,244,Lee Ziemba,PANTHERS, T,Auburn
2011,7,42,245,Michael Jasper,BILLS,DT,Bethel
2011,7,43,246,Jay Finlay,BENGALS,RB,Baylor
2011,7,44,247,Jeremy Beal,BRONCOS,DE,Oklahoma
2011,7,45,248,Eric Hagg,BROWNS,DB,Nebraska
2011,7,46,249,Demarco Sampson,CARDINALS,WR,San Diego State
2011,7,47,250,Curtis Holcomb,49ERS,DB,Florida A&M
2011,7,48,251,Tommie Campbell,TITANS,DB,California (PA)
2011,7,49,252,Bill Nagy,COWBOYS, C,Wisconsin
2011,7,50,253,Chris Neild,TEAM,DT,West Virginia
2011,7,51,254,Cheta Ozougwu,TEXANS,DE,Rice
2012,1,1,1,Andrew Luck,COLTS,QB,Stanford
2012,1,2,2,Robert Griffin,TEAM,QB,Baylor
2012,1,3,3,Trent Richardson,BROWNS,RB,Alabama
2012,1,4,4,Matt Kalil,VIKINGS, T,USC
2012,1,5,5,Justin Blackmon,JAGUARS,WR,Oklahoma State
2012,1,6,6,Morris Claiborne,COWBOYS,DB,Louisiana State
2012,1,7,7,Mark Barron,BUCCANEERS,DB,Alabama
2012,1,8,8,Ryan Tannehill,DOLPHINS,QB,Texas A&M
2012,1,9,9,Luke Kuechly,PANTHERS,LB,Boston College
2012,1,10,10,Stephon Gilmore,BILLS,DB,South Carolina
2012,1,11,11,Dontari Poe,CHIEFS,DT,Memphis
2012,1,12,12,Fletcher Cox,EAGLES,DT,Mississippi State
2012,1,13,13,Michael Floyd,CARDINALS,WR,Notre Dame
2012,1,14,14,Michael Brockers,RAMS,DT,Louisiana State
2012,1,15,15,Bruce Irvin,SEAHAWKS,DE,West Virginia
2012,1,16,16,Quinton Coples,JETS,DE,North Carolina
2012,1,17,17,Dre Kirkpatrick,BENGALS,DB,Alabama
2012,1,18,18,Melvin Ingram,CHARGERS,DE,South Carolina
2012,1,19,19,Shea McClellin,BEARS,DE,Boise State
2012,1,20,20,Kendall Wright,TITANS,WR,Baylor
2012,1,21,21,Chandler Jones,PATRIOTS,DE,Syracuse
2012,1,22,22,Brandon Weeden,BROWNS,QB,Oklahoma State
2012,1,23,23,Riley Reiff,LIONS, T,Iowa
2012,1,24,24,David DeCastro,STEELERS, G,Stanford
2012,1,25,25,Dont\'a Hightower,PATRIOTS,LB,Alabama
2012,1,26,26,Whitney Mercilus,TEXANS,DE,Illinois
2012,1,27,27,Kevin Zeitler,BENGALS, G,Wisconsin
2012,1,28,28,Nick Perry,PACKERS,DE,USC
2012,1,29,29,Harrison Smith,VIKINGS,DB,Notre Dame
2012,1,30,30,A.J. Jenkins,49ERS,WR,Illinois
2012,1,31,31,Doug Martin,BUCCANEERS,RB,Boise State
2012,1,32,32,David Wilson,GIANTS,RB,Virginia Tech
2012,2,1,33,Brian Quick,RAMS,WR,Appalachian State
2012,2,2,34,Coby Fleener,COLTS,TE,Stanford
2012,2,3,35,Courtney Upshaw,RAVENS,LB,Alabama
2012,2,4,36,Derek Wolfe,BRONCOS,DT,Cincinnati
2012,2,5,37,Mitchell Schwartz,BROWNS, T,California
2012,2,6,38,Andre Branch,JAGUARS,DE,Clemson
2012,2,7,39,Janoris Jenkins,RAMS,DB,North Alabama
2012,2,8,40,Amini Silatolu,PANTHERS, T,Midwestern State (TX)
2012,2,9,41,Cordy Glenn,BILLS, T,Georgia
2012,2,10,42,Jonathan Martin,DOLPHINS, T,Stanford
2012,2,11,43,Stephen Hill,JETS,WR,Georgia Tech
2012,2,12,44,Jeff Allen,CHIEFS, T,Illinois
2012,2,13,45,Alshon Jeffery,BEARS,WR,South Carolina
2012,2,14,46,Mychal Kendricks,EAGLES,LB,California
2012,2,15,47,Bobby Wagner,SEAHAWKS,LB,Utah State
2012,2,16,48,Tavon Wilson,PATRIOTS,DB,Illinois
2012,2,17,49,Kendall Reyes,CHARGERS,DT,Connecticut
2012,2,18,50,Isaiah Pead,RAMS,RB,Cincinnati
2012,2,19,51,Jerel Worthy,PACKERS,DT,Michigan State
2012,2,20,52,Zach Brown,TITANS,LB,North Carolina
2012,2,21,53,Devon Still,BENGALS,DT,Penn State
2012,2,22,54,Ryan Broyles,LIONS,WR,Oklahoma
2012,2,23,55,Peter Konz,FALCONS, C,Wisconsin
2012,2,24,56,Mike Adams,STEELERS, T,Ohio State
2012,2,25,57,Brock Osweiler,BRONCOS,QB,Arizona State
2012,2,26,58,Lavonte David,BUCCANEERS,LB,Nebraska
2012,2,27,59,Vinny Curry,EAGLES,DE,Marshall
2012,2,28,60,Kelechi Osemele,RAVENS, T,Iowa State
2012,2,29,61,LaMichael James,49ERS,RB,Oregon
2012,2,30,62,Casey Hayward,PACKERS,DB,Vanderbilt
2012,2,31,63,Rueben Randle,GIANTS,WR,Louisiana State
2012,3,1,64,Dwayne Allen,COLTS,TE,Clemson
2012,3,2,65,Trumaine Johnson,RAMS,DB,Montana
2012,3,3,66,Josh Robinson,VIKINGS,DB,Central Florida
2012,3,4,67,Ronnie Hillman,BRONCOS,RB,San Diego State
2012,3,5,68,Devier Posey,TEXANS,WR,Ohio State
2012,3,6,69,T.J. Graham,BILLS,WR,North Carolina State
2012,3,7,70,Bryan Anger,JAGUARS, P,California
2012,3,8,71,Josh Leribeus,TEAM, G,Southern Methodist
2012,3,9,72,Olivier Vernon,DOLPHINS,DE,Miami (FL)
2012,3,10,73,Brandon Taylor,CHARGERS,DB,Louisiana State
2012,3,11,74,Donald Stephenson,CHIEFS, T,Oklahoma
2012,3,12,75,Russell Wilson,SEAHAWKS,QB,Wisconsin
2012,3,13,76,Brandon Brooks,TEXANS, G,Miami (OH)
2012,3,14,77,Demario Davis,JETS,LB,Arkansas State
2012,3,15,78,Michael Egnew,DOLPHINS,TE,Missouri
2012,3,16,79,Brandon Hardin,BEARS,DB,Oregon State
2012,3,17,80,Jamell Fleming,CARDINALS,DB,Oklahoma
2012,3,18,81,Tyrone Crawford,COWBOYS,DE,Boise State
2012,3,19,82,Mike Martin,TITANS,DT,Michigan
2012,3,20,83,Mohamed Sanu,BENGALS,WR,Rutgers
2012,3,21,84,Bernard Pierce,RAVENS,RB,Temple
2012,3,22,85,Dwight Bentley,LIONS,DB,Louisiana-Lafayette
2012,3,23,86,Sean Spence,STEELERS,LB,Miami (FL)
2012,3,24,87,John Hughes,BROWNS,DT,Cincinnati
2012,3,25,88,Nick Foles,EAGLES,QB,Arizona
2012,3,26,89,Akiem Hicks,SAINTS,DE,Regina
2012,3,27,90,Jake Bequette,PATRIOTS,DE,Arkansas
2012,3,28,91,Lamar Holmes,FALCONS, T,Southern Mississippi
2012,3,29,92,T.Y. Hilton,COLTS,WR,Florida International
2012,3,30,93,Brandon Thompson,BENGALS,DT,Clemson
2012,3,31,94,Jayron Hosley,GIANTS,DB,Virginia Tech
2012,3,32,95,Tony Bergstrom,RAIDERS, G,Utah
2012,4,1,96,Chris Givens,RAMS,WR,Wake Forest
2012,4,2,97,Lamar Miller,DOLPHINS,RB,Miami (FL)
2012,4,3,98,Gino Gradkowski,RAVENS, G,Delaware
2012,4,4,99,Ben Jones,TEXANS, C,Georgia
2012,4,5,100,Travis Benjamin,BROWNS,WR,Miami (FL)
2012,4,6,101,Omar Bolden,BRONCOS,DB,Arizona State
2012,4,7,102,Kirk Cousins,TEAM,QB,Michigan State
2012,4,8,103,Frank Alexander,PANTHERS,DE,Oklahoma
2012,4,9,104,Joe Adams,PANTHERS,WR,Arkansas
2012,4,10,105,Nigel Bradham,BILLS,LB,Florida State
2012,4,11,106,Robert Turbin,SEAHAWKS,RB,Utah State
2012,4,12,107,Devon Wylie,CHIEFS,WR,Fresno State
2012,4,13,108,Philip Blake,BRONCOS, C,Baylor
2012,4,14,109,Alameda Ta\'amu,STEELERS,DT,Washington
2012,4,15,110,Ladarius Green,CHARGERS,TE,Louisiana-Lafayette
2012,4,16,111,Evan Rodriguez,BEARS,TE,Temple
2012,4,17,112,Bobby Massie,CARDINALS, T,Mississippi
2012,4,18,113,Kyle Wilber,COWBOYS,LB,Wake Forest
2012,4,19,114,Jaye Howard,SEAHAWKS,DT,Florida
2012,4,20,115,Coty Sensabaugh,TITANS,DB,Clemson
2012,4,21,116,Orson Charles,BENGALS,TE,Georgia
2012,4,22,117,Joe Looney,49ERS, G,Wake Forest
2012,4,23,118,Jarius Wright,VIKINGS,WR,Arkansas
2012,4,24,119,Keenan Robinson,TEAM,LB,Texas
2012,4,25,120,James-Michael Johnson,BROWNS,LB,Nevada
2012,4,26,121,Keshawn Martin,TEXANS,WR,Michigan State
2012,4,27,122,Nick Toon,SAINTS,WR,Wisconsin
2012,4,28,123,Brandon Boykin,EAGLES,DB,Georgia
2012,4,29,124,Ron Brooks,BILLS,DB,Louisiana State
2012,4,30,125,Ronnell Lewis,LIONS,LB,Oklahoma
2012,4,31,126,Jared Crick,TEXANS,DT,Nebraska
2012,4,32,127,Adrien Robinson,GIANTS,TE,Cincinnati
2012,4,33,128,Rhett Ellison,VIKINGS,RB,USC
2012,4,34,129,Miles Burris,RAIDERS,LB,San Diego State
2012,4,35,130,Christian Thompson,RAVENS,DB,South Carolina State
2012,4,36,131,Brandon Mosley,GIANTS, T,Auburn
2012,4,37,132,Mike Daniels,PACKERS,DT,Iowa
2012,4,38,133,Jeron McMillian,PACKERS,DB,Maine
2012,4,39,134,Greg Childs,VIKINGS,WR,Arkansas
2012,4,40,135,Matt Johnson,COWBOYS,DB,Eastern Washington
2012,5,1,136,Josh Chapman,COLTS,DT,Alabama
2012,5,2,137,Malik Jackson,BRONCOS,DT,Tennessee
2012,5,3,138,Tahir Whitehead,LIONS,LB,Temple
2012,5,4,139,Robert Blanton,VIKINGS,DB,Notre Dame
2012,5,5,140,Najee Goode,BUCCANEERS,LB,West Virginia
2012,5,6,141,Adam Gettis,TEAM, G,Iowa
2012,5,7,142,Brandon Marshall,JAGUARS,LB,Nevada
2012,5,8,143,Josh Norman,PANTHERS,DB,Coastal Carolina
2012,5,9,144,Zebrie Sanders,BILLS, T,Florida State
2012,5,10,145,Taylor Thompson,TITANS,TE,Southern Methodist
2012,5,11,146,DeQuan Menzie,CHIEFS,DB,Alabama
2012,5,12,147,Tank Carder,BILLS,LB,Texas Christian
2012,5,13,148,Chris Greenwood,LIONS,DB,Albion
2012,5,14,149,Johnnie Troutman,CHARGERS, G,Penn State
2012,5,15,150,Rokevious Watkins,RAMS, T,South Carolina
2012,5,16,151,Senio Kelemete,CARDINALS, T,Washington
2012,5,17,152,Danny Coale,COWBOYS,WR,Virginia Tech
2012,5,18,153,Dennis Kelly,EAGLES, T,Purdue
2012,5,19,154,Korey Toomer,SEAHAWKS,LB,Idaho
2012,5,20,155,Josh Kaddu,DOLPHINS,LB,Oregon
2012,5,21,156,Shaun Prater,BENGALS,DB,Iowa
2012,5,22,157,Bradie Ewing,FALCONS,RB,Wisconsin
2012,5,23,158,Jack Crawford,RAIDERS,DE,Penn State
2012,5,24,159,Chris Rainey,STEELERS,RB,Florida
2012,5,25,160,Ryan Miller,BROWNS, G,Colorado
2012,5,26,161,Randy Bullock,TEXANS, K,Texas A&M
2012,5,27,162,Corey White,SAINTS,DB,Samford
2012,5,28,163,Terrell Manning,PACKERS,LB,North Carolina State
2012,5,29,164,Jonathan Massaquoi,FALCONS,DE,Troy
2012,5,30,165,Darius Fleming,49ERS,LB,Notre Dame
2012,5,31,166,Marvin Jones,BENGALS,WR,California
2012,5,32,167,George Iloka,BENGALS,DB,Boise State
2012,5,33,168,Juron Criner,RAIDERS,WR,Arizona
2012,5,34,169,Asa Jackson,RAVENS,DB,Cal Poly
2012,5,35,170,Vick Ballard,COLTS,RB,Mississippi State
2012,6,1,171,Greg Zuerlein,RAMS, K,Missouri Western
2012,6,2,172,Jeremy Lane,SEAHAWKS,DB,Northwestern State (LA)
2012,6,3,173,Alfred Morris,TEAM,RB,Florida Atlantic
2012,6,4,174,Keith Tandy,BUCCANEERS,DB,West Virginia
2012,6,5,175,Blair Walsh,VIKINGS, K,Georgia
2012,6,6,176,Mike Harris,JAGUARS,DB,Florida State
2012,6,7,177,Justin Bethel,CARDINALS,DB,Presbyterian
2012,6,8,178,Mark Asper,BILLS, G,Oregon
2012,6,9,179,Andrew Tiller,SAINTS, G,Syracuse
2012,6,10,180,Trent Robinson,49ERS,DB,Michigan State
2012,6,11,181,Winston Guy,SEAHAWKS,DB,Kentucky
2012,6,12,182,Cyrus Gray,CHIEFS,RB,Texas A&M
2012,6,13,183,B.J. Cunningham,DOLPHINS,WR,Michigan State
2012,6,14,184,Isaiah Frey,BEARS,DB,Nevada
2012,6,15,185,Ryan Lindley,CARDINALS,QB,San Diego State
2012,6,16,186,James Hanna,COWBOYS,TE,Oklahoma
2012,6,17,187,Josh Bush,JETS,DB,Wake Forest
2012,6,18,188,Danny Trevathan,BRONCOS,LB,Kentucky
2012,6,19,189,Christo Bilukidi,RAIDERS,DE,Georgia State
2012,6,20,190,Markelle Martin,TITANS,DB,Oklahoma State
2012,6,21,191,Dan Herron,BENGALS,RB,Ohio State
2012,6,22,192,Charles Mitchell,FALCONS,DB,Mississippi State
2012,6,23,193,Tom Compton,TEAM, T,South Dakota
2012,6,24,194,Marvin McNutt,EAGLES,WR,Iowa
2012,6,25,195,Nick Mondek,TEXANS, T,Purdue
2012,6,26,196,Jonte Green,LIONS,DB,New Mexico State
2012,6,27,197,Nate Ebner,PATRIOTS,DB,Ohio State
2012,6,28,198,Tommy Streeter,RAVENS,WR,Miami (FL)
2012,6,29,199,Jason Slowey,49ERS, C,Western Oregon
2012,6,30,200,Brandon Washington,EAGLES, G,Miami (FL)
2012,6,31,201,Matt McCants,GIANTS, T,Alabama-Birmingham
2012,6,32,202,Terrance Ganaway,JETS,RB,Baylor
2012,6,33,203,Robert T. Griffin,JETS, G,Baylor
2012,6,34,204,Emmanuel Acho,BROWNS,LB,Texas
2012,6,35,205,Billy Winn,BROWNS,DT,Boise State
2012,6,36,206,LaVon Brazill,COLTS,WR,Ohio
2012,6,37,207,Brad Nortman,PANTHERS, P,Wisconsin
2012,7,1,208,Justin Anderson,COLTS, T,Georgia
2012,7,2,209,Aaron Brown,RAMS,LB,Hawaii
2012,7,3,210,Audie Cole,VIKINGS,LB,North Carolina State
2012,7,4,211,Scott Solomon,TITANS,DE,Rice
2012,7,5,212,Michael Smith,BUCCANEERS,RB,Utah State
2012,7,6,213,Richard Crawford,TEAM,DB,Southern Methodist
2012,7,7,214,Tim Fugger,COLTS,DE,Vanderbilt
2012,7,8,215,Kheeston Randall,DOLPHINS,DT,Texas
2012,7,9,216,D.J. Campbell,PANTHERS,DB,California
2012,7,10,217,Jordan Bernstine,TEAM,DB,Iowa
2012,7,11,218,Jerome Long,CHIEFS,DT,San Diego State
2012,7,12,219,Trevor Guyton,VIKINGS,DE,California
2012,7,13,220,Greg McCoy,BEARS,DB,Texas Christian
2012,7,14,221,Nate Potter,CARDINALS, T,Boise State
2012,7,15,222,Caleb McSurdy,COWBOYS,LB,Montana
2012,7,16,223,Travis Lewis,LIONS,LB,Oklahoma
2012,7,17,224,Alfonzo Dennard,PATRIOTS,DB,Nebraska
2012,7,18,225,J R Sweezy,SEAHAWKS,DE,North Carolina State
2012,7,19,226,David Molk,CHARGERS, C,Michigan
2012,7,20,227,Rishard Matthews,DOLPHINS,WR,Nevada
2012,7,21,228,Jeris Pendleton,JAGUARS,DT,Ashland
2012,7,22,229,Bryce Brown,EAGLES,RB,Kansas State
2012,7,23,230,Nathan Stupar,RAIDERS,LB,Penn State
2012,7,24,231,Toney Clemons,STEELERS,WR,Colorado
2012,7,25,232,Greg Scruggs,SEAHAWKS,DE,Louisville
2012,7,26,233,Drake Dunsmore,BUCCANEERS,TE,Northwestern
2012,7,27,234,Marcel Jones,SAINTS, T,Nebraska
2012,7,28,235,Jeremy Ebert,PATRIOTS,WR,Northwestern
2012,7,29,236,Deangelo Tyson,RAVENS,DE,Georgia
2012,7,30,237,Cam Johnson,49ERS,DE,Virginia
2012,7,31,238,Junior Hemingway,CHIEFS,WR,Michigan
2012,7,32,239,Markus Kuhn,GIANTS,DT,North Carolina State
2012,7,33,240,David Paulson,STEELERS,TE,Oregon
2012,7,34,241,Andrew Datko,PACKERS, T,Florida State
2012,7,35,242,Antonio Allen,JETS,DB,South Carolina
2012,7,36,243,B.J. Coleman,PACKERS,QB,Tennessee-Chattanooga
2012,7,37,244,Jordan White,JETS,WR,Western Michigan
2012,7,38,245,Trevin Wade,BROWNS,DB,Arizona
2012,7,39,246,Terrence Frederick,STEELERS,DB,Texas A&M
2012,7,40,247,Brad Smelley,BROWNS,TE,Alabama
2012,7,41,248,Kelvin Beachum,STEELERS, T,Southern Methodist
2012,7,42,249,Travian Robertson,FALCONS,DT,South Carolina
2012,7,43,250,Edwin Baker,CHARGERS,RB,Michigan State
2012,7,44,251,John Potter,BILLS, K,Western Michigan
2012,7,45,252,Daryl Richardson,RAMS,RB,Abilene Christian
2012,7,46,253,Chandler Harnish,COLTS,QB,Northern Illinois
2013,1,1,1,Eric Fisher,CHIEFS, T,Central Michigan
2013,1,2,2,Luke Joeckel,JAGUARS, T,Texas A&M
2013,1,3,3,Dion Jordan,DOLPHINS,DE,Oregon
2013,1,4,4,Lane Johnson,EAGLES, T,Oklahoma
2013,1,5,5,Ezekiel Ansah,LIONS,DE,Brigham Young
2013,1,6,6,Barkevious Mingo,BROWNS,DE,Louisiana State
2013,1,7,7,Jonathan Cooper,CARDINALS, G,North Carolina
2013,1,8,8,Tavon Austin,RAMS,WR,West Virginia
2013,1,9,9,Dee Milliner,JETS,DB,Alabama
2013,1,10,10,Chance Warmack,TITANS, G,Alabama
2013,1,11,11,D.J. Fluker,CHARGERS, T,Alabama
2013,1,12,12,D.J. Hayden,RAIDERS,DB,Houston
2013,1,13,13,Sheldon Richardson,JETS,DT,Missouri
2013,1,14,14,Star Lotulelei,PANTHERS,DT,Utah
2013,1,15,15,Kenny Vaccaro,SAINTS,DB,Texas
2013,1,16,16,EJ Manuel,BILLS,QB,Florida State
2013,1,17,17,Jarvis Jones,STEELERS,LB,Georgia
2013,1,18,18,Eric Reid,49ERS,DB,Louisiana State
2013,1,19,19,Justin Pugh,GIANTS, T,Syracuse
2013,1,20,20,Kyle Long,BEARS, G,Oregon
2013,1,21,21,Tyler Eifert,BENGALS,TE,Notre Dame
2013,1,22,22,Desmond Trufant,FALCONS,DB,Washington
2013,1,23,23,Sharrif Floyd,VIKINGS,DT,Florida
2013,1,24,24,Bjoern Werner,COLTS,DE,Florida State
2013,1,25,25,Xavier Rhodes,VIKINGS,DB,Florida State
2013,1,26,26,Datone Jones,PACKERS,DE,UCLA
2013,1,27,27,DeAndre Hopkins,TEXANS,WR,Clemson
2013,1,28,28,Sylvester Williams,BRONCOS,DT,North Carolina
2013,1,29,29,Cordarrelle Patterson,VIKINGS,WR,Tennessee
2013,1,30,30,Alec Ogletree,RAMS,LB,Georgia
2013,1,31,31,Travis Frederick,COWBOYS, C,Wisconsin
2013,1,32,32,Matt Elam,RAVENS,DB,Florida
2013,2,1,33,John Cyprien,JAGUARS,DB,Florida International
2013,2,2,34,Justin Hunter,TITANS,WR,Tennessee
2013,2,3,35,Zach Ertz,EAGLES,TE,Stanford
2013,2,4,36,Darius Slay,LIONS,DB,Mississippi State
2013,2,5,37,Giovani Bernard,BENGALS,RB,North Carolina
2013,2,6,38,Manti Te\'o,CHARGERS,LB,Notre Dame
2013,2,7,39,Geno Smith,JETS,QB,West Virginia
2013,2,8,40,Cornellius Carradine,49ERS,DE,Florida State
2013,2,9,41,Robert Woods,BILLS,WR,USC
2013,2,10,42,Menelik Watson,RAIDERS, T,Florida State
2013,2,11,43,Johnthan Banks,BUCCANEERS,DB,Mississippi State
2013,2,12,44,Kawann Short,PANTHERS,DT,Purdue
2013,2,13,45,Kevin Minter,CARDINALS,LB,Louisiana State
2013,2,14,46,Kiko Alonso,BILLS,LB,Oregon
2013,2,15,47,Gavin Escobar,COWBOYS,TE,San Diego State
2013,2,16,48,Le\'Veon Bell,STEELERS,RB,Michigan State
2013,2,17,49,Johnathan Hankins,GIANTS,DT,Ohio State
2013,2,18,50,Jon Bostic,BEARS,LB,Florida
2013,2,19,51,David Amerson,TEAM,DB,North Carolina State
2013,2,20,52,Jamie Collins,PATRIOTS,LB,Southern Mississippi
2013,2,21,53,Margus Hunt,BENGALS,DE,Southern Methodist
2013,2,22,54,Jamar Taylor,DOLPHINS,DB,Boise State
2013,2,23,55,Vance McDonald,49ERS,TE,Rice
2013,2,24,56,Arthur Brown,RAVENS,LB,Kansas State
2013,2,25,57,D.J. Swearinger,TEXANS,DB,South Carolina
2013,2,26,58,Montee Ball,BRONCOS,RB,Wisconsin
2013,2,27,59,Aaron Dobson,PATRIOTS,WR,Marshall
2013,2,28,60,Robert Alford,FALCONS,DB,Southeastern Louisiana
2013,2,29,61,Eddie Lacy,PACKERS,RB,Alabama
2013,2,30,62,Christine Michael,SEAHAWKS,RB,Texas A&M
2013,3,1,63,Travis Kelce,CHIEFS,TE,Cincinnati
2013,3,2,64,Dwayne Gratz,JAGUARS,DB,Connecticut
2013,3,3,65,Larry Warford,LIONS, G,Kentucky
2013,3,4,66,Sio Moore,RAIDERS,LB,Connecticut
2013,3,5,67,Bennie Logan,EAGLES,DT,Louisiana State
2013,3,6,68,Leon McFadden,BROWNS,DB,San Diego State
2013,3,7,69,Tyrann Mathieu,CARDINALS,DB,Louisiana State
2013,3,8,70,Blidi Wreh-Wilson,TITANS,DB,Connecticut
2013,3,9,71,T.J. McDonald,RAMS,DB,USC
2013,3,10,72,Brian Winters,JETS, G,Kent State
2013,3,11,73,Mike Glennon,BUCCANEERS,QB,North Carolina State
2013,3,12,74,Terrance Williams,COWBOYS,WR,Baylor
2013,3,13,75,Terron Armstead,SAINTS, T,Arkansas-Pine Bluff
2013,3,14,76,Keenan Allen,CHARGERS,WR,California
2013,3,15,77,Dallas Thomas,DOLPHINS, T,Tennessee
2013,3,16,78,Marquise Goodwin,BILLS,WR,Texas
2013,3,17,79,Markus Wheaton,STEELERS,WR,Oregon State
2013,3,18,80,J.J. Wilcox,COWBOYS,DB,Georgia Southern
2013,3,19,81,Damontre Moore,GIANTS,DE,Texas A&M
2013,3,20,82,John Jenkins,SAINTS,DT,Georgia
2013,3,21,83,Logan Ryan,PATRIOTS,DB,Rutgers
2013,3,22,84,Shawn Williams,BENGALS,DB,Georgia
2013,3,23,85,Jordan Reed,TEAM,TE,Florida
2013,3,24,86,Hugh Thornton,COLTS, G,Illinois
2013,3,25,87,Jordan Hill,SEAHAWKS,DT,Penn State
2013,3,26,88,Corey Lemonier,49ERS,DE,Auburn
2013,3,27,89,Brennan Williams,TEXANS, T,North Carolina
2013,3,28,90,Kayvon Webster,BRONCOS,DB,South Florida
2013,3,29,91,Duron Harmon,PATRIOTS,DB,Rutgers
2013,3,30,92,Stedman Bailey,RAMS,WR,West Virginia
2013,3,31,93,Will Davis,DOLPHINS,DB,Utah State
2013,3,32,94,Brandon Williams,RAVENS,DT,Missouri Southern State
2013,3,33,95,Sam Montgomery,TEXANS,DE,Louisiana State
2013,3,34,96,Knile Davis,CHIEFS,RB,Arkansas
2013,3,35,97,Zaviar Gooden,TITANS,LB,Missouri
2013,4,1,98,Matt Barkley,EAGLES,QB,USC
2013,4,2,99,Nico Johnson,CHIEFS,LB,Alabama
2013,4,3,100,Akeem Spence,BUCCANEERS,DT,Illinois
2013,4,4,101,Ace Sanders,JAGUARS,WR,South Carolina
2013,4,5,102,Josh Boyce,PATRIOTS,WR,Texas Christian
2013,4,6,103,Alex Okafor,CARDINALS,DE,Texas
2013,4,7,104,Jelani Jenkins,DOLPHINS,LB,Florida
2013,4,8,105,Duke Williams,BILLS,DB,Nevada
2013,4,9,106,Dion Sims,DOLPHINS,TE,Michigan State
2013,4,10,107,Brian Schwenke,TITANS, C,California
2013,4,11,108,Edmund Kugbila,PANTHERS, G,Valdosta State
2013,4,12,109,David Bakhtiari,PACKERS, T,Colorado
2013,4,13,110,Ryan Nassib,GIANTS,QB,Syracuse
2013,4,14,111,Shamarko Thomas,STEELERS,DB,Syracuse
2013,4,15,112,Tyler Wilson,RAIDERS,QB,Arkansas
2013,4,16,113,Barrett Jones,RAMS, G,Alabama
2013,4,17,114,B.W. Webb,COWBOYS,DB,William & Mary
2013,4,18,115,Landry Jones,STEELERS,QB,Oklahoma
2013,4,19,116,Earl Watford,CARDINALS, G,James Madison
2013,4,20,117,Khaseem Greene,BEARS,LB,Rutgers
2013,4,21,118,Sean Porter,BENGALS,LB,Texas A&M
2013,4,22,119,Phillip Thomas,TEAM,DB,Fresno State
2013,4,23,120,Gerald Hodges,VIKINGS,LB,Penn State
2013,4,24,121,Khaled Holmes,COLTS, C,USC
2013,4,25,122,J.C. Tretter,PACKERS, T,Cornell
2013,4,26,123,Chris Harper,SEAHAWKS,WR,Kansas State
2013,4,27,124,Trevardo Williams,TEXANS,DE,Connecticut
2013,4,28,125,Johnathan Franklin,PACKERS,RB,UCLA
2013,4,29,126,William Gholston,BUCCANEERS,DE,Michigan State
2013,4,30,127,Malliciah Goodman,FALCONS,DE,Clemson
2013,4,31,128,Quinton Patton,49ERS,WR,Louisiana Tech
2013,4,32,129,John Simon,RAVENS,DE,Ohio State
2013,4,33,130,Kyle Juszczyk,RAVENS,RB,Harvard
2013,4,34,131,Marcus Lattimore,49ERS,RB,South Carolina
2013,4,35,132,Devin Taylor,LIONS,DE,South Carolina
2013,4,36,133,Levine Toilolo,FALCONS,TE,Stanford
2013,5,1,134,Sanders Commings,CHIEFS,DB,Georgia
2013,5,2,135,Denard Robinson,JAGUARS,WR,Michigan
2013,5,3,136,Earl Wolff,EAGLES,DB,North Carolina State
2013,5,4,137,Jesse Williams,SEAHAWKS,DT,Alabama
2013,5,5,138,Tharold Simon,SEAHAWKS,DB,Louisiana State
2013,5,6,139,Montori Hughes,COLTS,DT,Tennessee-Martin
2013,5,7,140,Stepfan Taylor,CARDINALS,RB,Stanford
2013,5,8,141,Oday Aboushi,JETS, T,Virginia
2013,5,9,142,Lavar Edwards,TITANS,DE,Louisiana State
2013,5,10,143,Jonathan Meeks,BILLS,DB,Clemson
2013,5,11,144,Kenny Stills,SAINTS,WR,Oklahoma
2013,5,12,145,Steve Williams,CHARGERS,DB,California
2013,5,13,146,Quanterus Smith,BRONCOS,DE,Western Kentucky
2013,5,14,147,Steven Means,BUCCANEERS,DE,Buffalo
2013,5,15,148,A.J. Klein,PANTHERS,LB,Iowa State
2013,5,16,149,Brandon McGee,RAMS,DB,Miami (FL)
2013,5,17,150,Terry Hawthorne,STEELERS,DB,Illinois
2013,5,18,151,Joseph Randle,COWBOYS,RB,Oklahoma State
2013,5,19,152,Cooper Taylor,GIANTS,DB,Richmond
2013,5,20,153,Stansly Maponga,FALCONS,DE,Texas Christian
2013,5,21,154,Chris Thompson,TEAM,RB,Florida State
2013,5,22,155,Jeff Locke,VIKINGS, P,UCLA
2013,5,23,156,Tanner Hawkinson,BENGALS, T,Kansas
2013,5,24,157,Quinton Dial,49ERS,DE,Alabama
2013,5,25,158,Luke Willson,SEAHAWKS,TE,Rice
2013,5,26,159,Micah Hyde,PACKERS,DB,Iowa
2013,5,27,160,Zac Stacy,RAMS,RB,Vanderbilt
2013,5,28,161,Tavarres King,BRONCOS,WR,Georgia
2013,5,29,162,Brandon Jenkins,TEAM,DE,Florida State
2013,5,30,163,Jordan Mills,BEARS, T,Louisiana Tech
2013,5,31,164,Mike Gillislee,DOLPHINS,RB,Florida
2013,5,32,165,Sam Martin,LIONS, P,Appalachian State
2013,5,33,166,Caleb Sturgis,DOLPHINS, K,Florida
2013,5,34,167,Josh Boyd,PACKERS,DE,Mississippi State
2013,5,35,168,Ricky Wagner,RAVENS, T,Wisconsin
2013,6,1,169,Josh Evans,JAGUARS,DB,Florida
2013,6,2,170,Eric Kush,CHIEFS, C,California (PA)
2013,6,3,171,Corey Fuller,LIONS,WR,Virginia Tech
2013,6,4,172,Nick Kasa,RAIDERS,TE,Colorado
2013,6,5,173,Vinston Painter,BRONCOS, T,Virginia Tech
2013,6,6,174,Ryan Swope,CARDINALS,WR,Texas A&M
2013,6,7,175,Jamoris Slaughter,BROWNS,DB,Notre Dame
2013,6,8,176,David Quessenberry,TEXANS, T,San Jose State
2013,6,9,177,Dustin Hopkins,BILLS, K,Florida State
2013,6,10,178,William Campbell,JETS, G,Michigan
2013,6,11,179,Tourek Williams,CHARGERS,DE,Florida International
2013,6,12,180,Nick Moody,49ERS,LB,Florida State
2013,6,13,181,Latavius Murray,RAIDERS,RB,Central Florida
2013,6,14,182,Kenjon Barner,PANTHERS,RB,Oregon
2013,6,15,183,Rufus Johnson,SAINTS,DE,Tarleton State
2013,6,16,184,Mychal Rivera,RAIDERS,TE,Tennessee
2013,6,17,185,DeVonte Holloman,COWBOYS,LB,South Carolina
2013,6,18,186,Justin Brown,STEELERS,WR,Oklahoma
2013,6,19,187,Andre Ellington,CARDINALS,RB,Clemson
2013,6,20,188,Cornelius Washington,BEARS,LB,Georgia
2013,6,21,189,Mike James,BUCCANEERS,RB,Miami (FL)
2013,6,22,190,Rex Burkhead,BENGALS,RB,Nebraska
2013,6,23,191,Bacarri Rambo,TEAM,DB,Georgia
2013,6,24,192,John Boyett,COLTS,DB,Oregon
2013,6,25,193,Nate Palmer,PACKERS,LB,Illinois State
2013,6,26,194,Spencer Ware,SEAHAWKS,RB,Louisiana State
2013,6,27,195,Alan Bonner,TEXANS,WR,Jacksonville State
2013,6,28,196,Jeff Baca,VIKINGS, G,UCLA
2013,6,29,197,Cobi Hamilton,BENGALS,WR,Arkansas
2013,6,30,198,Chris Jones,TEXANS,DT,Bowling Green
2013,6,31,199,Theo Riddick,LIONS,RB,Notre Dame
2013,6,32,200,Kapron Lewis-Moore,RAVENS,DE,Notre Dame
2013,6,33,201,Ryan Griffin,TEXANS,TE,Connecticut
2013,6,34,202,Khalid Wooten,TITANS,DB,Nevada
2013,6,35,203,Ryan Jensen,RAVENS, T,Colorado State-Pueblo
2013,6,36,204,Braden Wilson,CHIEFS,RB,Kansas State
2013,6,37,205,Stacy McGee,RAIDERS,DT,Oklahoma
2013,6,38,206,Vince Williams,STEELERS,LB,Florida State
2013,7,1,207,Mike Catapano,CHIEFS,DE,Princeton
2013,7,2,208,Jeremy Harris,JAGUARS,DB,New Mexico State
2013,7,3,209,Brice Butler,RAIDERS,WR,San Diego State
2013,7,4,210,Demetrius McCray,JAGUARS,DB,Appalachian State
2013,7,5,211,Michael Williams,LIONS,TE,Alabama
2013,7,6,212,Joe Kruger,EAGLES,DE,Utah
2013,7,7,213,Michael Mauti,VIKINGS,LB,Penn State
2013,7,8,214,Travis Bond,VIKINGS, G,North Carolina
2013,7,9,215,Tommy Bohanon,JETS,RB,Wake Forest
2013,7,10,216,Charles Johnson,PACKERS,WR,Grand Valley State
2013,7,11,217,Armonty Bryant,BROWNS,DE,East Central (OK)
2013,7,12,218,Jordan Poyer,EAGLES,DB,Oregon State
2013,7,13,219,D.C. Jefferson,CARDINALS,TE,Rutgers
2013,7,14,220,Ryan Seymour,SEAHAWKS, G,Vanderbilt
2013,7,15,221,Brad Sorensen,CHARGERS,QB,Southern Utah
2013,7,16,222,Chris Gragg,BILLS,TE,Arkansas
2013,7,17,223,Nick Williams,STEELERS,DT,Samford
2013,7,18,224,Kevin Dorsey,PACKERS,WR,Maryland
2013,7,19,225,Eric Herman,GIANTS, G,Ohio
2013,7,20,226,Michael Buchanan,PATRIOTS,DE,Illinois
2013,7,21,227,Garrett Gilkey,BROWNS, T,Chadron State
2013,7,22,228,Jawan Jamison,TEAM,RB,Rutgers
2013,7,23,229,Everett Dawkins,VIKINGS,DT,Florida State
2013,7,24,230,Kerwynn Williams,COLTS,RB,Utah State
2013,7,25,231,Ty Powell,SEAHAWKS,DE,Harding
2013,7,26,232,Sam Barrington,PACKERS,LB,South Florida
2013,7,27,233,David Bass,RAIDERS,DE,Missouri Western
2013,7,28,234,Zac Dysert,BRONCOS,QB,Miami (OH)
2013,7,29,235,Steve Beauharnais,PATRIOTS,LB,Rutgers
2013,7,30,236,Marquess Wilson,BEARS,WR,Washington State
2013,7,31,237,B.J. Daniels,49ERS,QB,South Florida
2013,7,32,238,Aaron Mellette,RAVENS,WR,Elon
2013,7,33,239,David King,EAGLES,DE,Oklahoma
2013,7,34,240,Reid Fragel,BENGALS, T,Ohio State
2013,7,35,241,Jared Smith,SEAHAWKS,DT,New Hampshire
2013,7,36,242,Michael Bowie,SEAHAWKS, T,NE Oklahoma State
2013,7,37,243,Kemal Ishmael,FALCONS,DB,Central Florida
2013,7,38,244,Zeke Motta,FALCONS,DB,Notre Dame
2013,7,39,245,Brandon Hepburn,LIONS,LB,Florida A&M
2013,7,40,246,Carter Bykowski,49ERS, T,Iowa State
2013,7,41,247,Marc Anthony,RAVENS,DB,California
2013,7,42,248,Daimion Stafford,TITANS,DB,Nebraska
2013,7,43,249,Sean Renfree,FALCONS,QB,Duke
2013,7,44,250,Don Jones,DOLPHINS,DB,Arkansas State
2013,7,45,251,T.J. Johnson,BENGALS, C,South Carolina
2013,7,46,252,Marcus Cooper,49ERS,DB,Rutgers
2013,7,47,253,Michael Cox,GIANTS,RB,Massachusetts
2013,7,48,254,Justice Cunningham,COLTS,TE,South Carolina
2014,1,1,1,Jadeveon Clowney,TEXANS,DE,South Carolina
2014,1,2,2,Greg Robinson,RAMS, T,Auburn
2014,1,3,3,Blake Bortles,JAGUARS,QB,Central Florida
2014,1,4,4,Sammy Watkins,BILLS,WR,Clemson
2014,1,5,5,Khalil Mack,RAIDERS,LB,Buffalo
2014,1,6,6,Jake Matthews,FALCONS, T,Texas A&M
2014,1,7,7,Mike Evans,BUCCANEERS,WR,Texas A&M
2014,1,8,8,Justin Gilbert,BROWNS,DB,Oklahoma State
2014,1,9,9,Anthony Barr,VIKINGS,LB,UCLA
2014,1,10,10,Eric Ebron,LIONS,TE,North Carolina
2014,1,11,11,Taylor Lewan,TITANS, T,Michigan
2014,1,12,12,Odell Beckham,GIANTS,WR,Louisiana State
2014,1,13,13,Aaron Donald,RAMS,DT,Pittsburgh
2014,1,14,14,Kyle Fuller,BEARS,DB,Virginia Tech
2014,1,15,15,Ryan Shazier,STEELERS,LB,Ohio State
2014,1,16,16,Zack Martin,COWBOYS, T,Notre Dame
2014,1,17,17,C.J. Mosley,RAVENS,LB,Alabama
2014,1,18,18,Calvin Pryor,JETS,DB,Louisville
2014,1,19,19,Ja\'Wuan James,DOLPHINS, T,Tennessee
2014,1,20,20,Brandin Cooks,SAINTS,WR,Oregon State
2014,1,21,21,Ha Ha Clinton-Dix,PACKERS,DB,Alabama
2014,1,22,22,Johnny Manziel,BROWNS,QB,Texas A&M
2014,1,23,23,Dee Ford,CHIEFS,DE,Auburn
2014,1,24,24,Darqueze Dennard,BENGALS,DB,Michigan State
2014,1,25,25,Jason Verrett,CHARGERS,DB,Texas Christian
2014,1,26,26,Marcus Smith,EAGLES,DE,Louisville
2014,1,27,27,Deone Bucannon,CARDINALS,DB,Washington State
2014,1,28,28,Kelvin Benjamin,PANTHERS,WR,Florida State
2014,1,29,29,Dominique Easley,PATRIOTS,DT,Florida
2014,1,30,30,Jimmie Ward,49ERS,DB,Northern Illinois
2014,1,31,31,Bradley Roby,BRONCOS,DB,Ohio State
2014,1,32,32,Teddy Bridgewater,VIKINGS,QB,Louisville
2014,2,1,33,Xavier Su\'a-Filo,TEXANS, G,UCLA
2014,2,2,34,Demarcus Lawrence,COWBOYS,DE,Boise State
2014,2,3,35,Joel Bitonio,BROWNS, G,Nevada
2014,2,4,36,Derek Carr,RAIDERS,QB,Fresno State
2014,2,5,37,Ra\'Shede Hageman,FALCONS,DT,Minnesota
2014,2,6,38,Austin Seferian-Jenkins,BUCCANEERS,TE,Washington
2014,2,7,39,Marqise Lee,JAGUARS,WR,USC
2014,2,8,40,Kyle Van Noy,LIONS,LB,Brigham Young
2014,2,9,41,Lamarcus Joyner,RAMS,DB,Florida State
2014,2,10,42,Jordan Matthews,EAGLES,WR,Vanderbilt
2014,2,11,43,Weston Richburg,GIANTS, C,Colorado State
2014,2,12,44,Cyrus Kouandjio,BILLS, T,Alabama
2014,2,13,45,Paul Richardson,SEAHAWKS,WR,Colorado
2014,2,14,46,Stephon Tuitt,STEELERS,DE,Notre Dame
2014,2,15,47,Trent Murphy,TEAM,LB,Stanford
2014,2,16,48,Timmy Jernigan,RAVENS,DT,Florida State
2014,2,17,49,Jace Amaro,JETS,TE,Texas Tech
2014,2,18,50,Jeremiah Attaochu,CHARGERS,LB,Georgia Tech
2014,2,19,51,Ego Ferguson,BEARS,DT,Louisiana State
2014,2,20,52,Troy Niklas,CARDINALS,TE,Notre Dame
2014,2,21,53,Davante Adams,PACKERS,WR,Fresno State
2014,2,22,54,Bishop Sankey,TITANS,RB,Washington
2014,2,23,55,Jeremy Hill,BENGALS,RB,Louisiana State
2014,2,24,56,Cody Latimer,BRONCOS,WR,Indiana
2014,2,25,57,Carlos Hyde,49ERS,RB,Ohio State
2014,2,26,58,Stanley Jean-Baptiste,SAINTS,DB,Nebraska
2014,2,27,59,Jack Mewhort,COLTS, T,Ohio State
2014,2,28,60,Kony Ealy,PANTHERS,DE,Missouri
2014,2,29,61,Allen Robinson,JAGUARS,WR,Penn State
2014,2,30,62,Jimmy Garoppolo,PATRIOTS,QB,Eastern Illinois
2014,2,31,63,Jarvis Landry,DOLPHINS,WR,Louisiana State
2014,2,32,64,Justin Britt,SEAHAWKS, T,Missouri
2014,3,1,65,C.J. Fiedorowicz,TEXANS,TE,Iowa
2014,3,2,66,Morgan Moses,TEAM, T,Virginia
2014,3,3,67,Billy Turner,DOLPHINS, T,North Dakota State
2014,3,4,68,Dezmen Southward,FALCONS,DB,Wisconsin
2014,3,5,69,Charles Sims,BUCCANEERS,RB,West Virginia
2014,3,6,70,Marcus Martin,49ERS, C,USC
2014,3,7,71,Christian Kirksey,BROWNS,LB,Iowa
2014,3,8,72,Scott Crichton,VIKINGS,DE,Oregon State
2014,3,9,73,Preston Brown,BILLS,LB,Louisville
2014,3,10,74,Jay Bromley,GIANTS,DT,Syracuse
2014,3,11,75,Tre Mason,RAMS,RB,Auburn
2014,3,12,76,Travis Swanson,LIONS, C,Arkansas
2014,3,13,77,Chris Borland,49ERS,LB,Wisconsin
2014,3,14,78,Spencer Long,TEAM, G,Nebraska
2014,3,15,79,Terrence Brooks,RAVENS,DB,Florida State
2014,3,16,80,Dexter McDougle,JETS,DB,Maryland
2014,3,17,81,Gabe Jackson,RAIDERS, G,Mississippi State
2014,3,18,82,Will Sutton,BEARS,DT,Arizona State
2014,3,19,83,Louis Nix,TEXANS,DT,Notre Dame
2014,3,20,84,Kareem Martin,CARDINALS,DE,North Carolina
2014,3,21,85,Khyri Thornton,PACKERS,DT,Southern Mississippi
2014,3,22,86,Josh Huff,EAGLES,WR,Oregon
2014,3,23,87,Phillip Gaines,CHIEFS,DB,Rice
2014,3,24,88,Will Clarke,BENGALS,DE,West Virginia
2014,3,25,89,Chris Watt,CHARGERS, G,Notre Dame
2014,3,26,90,Donte Moncrief,COLTS,WR,Mississippi
2014,3,27,91,John Brown,CARDINALS,WR,Pittsburg State (KS)
2014,3,28,92,Trai Turner,PANTHERS, G,Louisiana State
2014,3,29,93,Brandon Linder,JAGUARS, G,Miami (FL)
2014,3,30,94,Terrance West,BROWNS,RB,Towson
2014,3,31,95,Michael Schofield,BRONCOS, T,Michigan
2014,3,32,96,Jerick McKinnon,VIKINGS,RB,Georgia Southern
2014,3,33,97,Dri Archer,STEELERS,RB,Kent State
2014,3,34,98,Richard Rodgers,PACKERS,TE,California
2014,3,35,99,Crockett Gillmore,RAVENS,TE,Colorado State
2014,3,36,100,Brandon Thomas,49ERS, T,Clemson
2014,4,1,101,Jaylen Watkins,EAGLES,DB,Florida
2014,4,2,102,Bashaud Breeland,TEAM,DB,Clemson
2014,4,3,103,Devonta Freeman,FALCONS,RB,Florida State
2014,4,4,104,Jalen Saunders,JETS,WR,Oklahoma
2014,4,5,105,Bryan Stork,PATRIOTS, C,Florida State
2014,4,6,106,Bruce Ellington,49ERS,WR,South Carolina
2014,4,7,107,Justin Ellis,RAIDERS,DT,Louisiana Tech
2014,4,8,108,Cassius Marsh,SEAHAWKS,DE,UCLA
2014,4,9,109,Ross Cockrell,BILLS,DB,Duke
2014,4,10,110,Mo Alexander,RAMS,DB,Utah State
2014,4,11,111,Russell Bodine,BENGALS, C,North Carolina
2014,4,12,112,DaQuan Jones,TITANS,DT,Penn State
2014,4,13,113,Andre Williams,GIANTS,RB,Boston College
2014,4,14,114,Aaron Colvin,JAGUARS,DB,Oklahoma
2014,4,15,115,Shaq Evans,JETS,WR,UCLA
2014,4,16,116,Keith McGill,RAIDERS,DB,Utah
2014,4,17,117,Ka\'Deem Carey,BEARS,RB,Arizona
2014,4,18,118,Martavis Bryant,STEELERS,WR,Clemson
2014,4,19,119,Anthony Hitchens,COWBOYS,LB,Iowa
2014,4,20,120,Logan Thomas,CARDINALS,QB,Virginia Tech
2014,4,21,121,Carl Bradford,PACKERS,LB,Arizona State
2014,4,22,122,Marqueston Huff,TITANS,DB,Wyoming
2014,4,23,123,Kevin Norwood,SEAHAWKS,WR,Alabama
2014,4,24,124,De\'Anthony Thomas,CHIEFS,RB,Oregon
2014,4,25,125,Walt Aikens,DOLPHINS,DB,Liberty
2014,4,26,126,Khairi Fortt,SAINTS,LB,California
2014,4,27,127,Pierre Desir,BROWNS,DB,Lindenwood
2014,4,28,128,Tre Boston,PANTHERS,DB,North Carolina
2014,4,29,129,Dontae Johnson,49ERS,DB,North Carolina State
2014,4,30,130,James White,PATRIOTS,RB,Wisconsin
2014,4,31,131,Brock Vereen,BEARS,DB,Minnesota
2014,4,32,132,Kevin Pierre-Louis,SEAHAWKS,LB,Boston College
2014,4,33,133,Nevin Lawson,LIONS,DB,Utah State
2014,4,34,134,Brent Urban,RAVENS,DT,Virginia
2014,4,35,135,Tom Savage,TEXANS,QB,Pittsburgh
2014,4,36,136,Larry Webster,LIONS,DE,Bloomsburg (PA)
2014,4,37,137,Dakota Dozier,JETS, T,Furman
2014,4,38,138,Lorenzo Taliaferro,RAVENS,RB,Coastal Carolina
2014,4,39,139,Prince Shembo,FALCONS,LB,Notre Dame
2014,4,40,140,Cameron Fleming,PATRIOTS, T,Stanford
2014,5,1,141,Taylor Hart,EAGLES,DE,Oregon
2014,5,2,142,Ryan Grant,TEAM,WR,Tulane
2014,5,3,143,Kadeem Edwards,BUCCANEERS, G,Tennessee State
2014,5,4,144,Telvin Smith,JAGUARS,LB,Florida State
2014,5,5,145,David Yankey,VIKINGS, G,Stanford
2014,5,6,146,Devin Street,COWBOYS,WR,Pittsburgh
2014,5,7,147,Ricardo Allen,FALCONS,DB,Purdue
2014,5,8,148,Bene Benwikere,PANTHERS,DB,San Jose State
2014,5,9,149,Kevin Pamphile,BUCCANEERS, T,Purdue
2014,5,10,150,Aaron Lynch,49ERS,DE,South Florida
2014,5,11,151,Avery Williamson,TITANS,LB,Kentucky
2014,5,12,152,Nat Berhe,GIANTS,DB,San Diego State
2014,5,13,153,Cyril Richardson,BILLS, G,Baylor
2014,5,14,154,Jeremiah George,JETS,LB,Iowa State
2014,5,15,155,Arthur Lynch,DOLPHINS,TE,Georgia
2014,5,16,156,Lamin Barrow,BRONCOS,LB,Louisiana State
2014,5,17,157,Shaquille Richardson,STEELERS,DB,Arizona
2014,5,18,158,Caraun Reid,LIONS,DT,Princeton
2014,5,19,159,Chris Smith,JAGUARS,DE,Arkansas
2014,5,20,160,Ed Stinson,CARDINALS,DE,Alabama
2014,5,21,161,Corey Linsley,PACKERS, C,Ohio State
2014,5,22,162,Ed Reynolds,EAGLES,DB,Stanford
2014,5,23,163,Aaron Murray,CHIEFS,QB,Georgia
2014,5,24,164,A.J. McCarron,BENGALS,QB,Alabama
2014,5,25,165,Ryan Carrethers,CHARGERS,DT,Arkansas State
2014,5,26,166,Jonathan Newsome,COLTS,DE,Ball State
2014,5,27,167,Vinnie Sunseri,SAINTS,DB,Alabama
2014,5,28,168,Marquis Spruill,FALCONS,LB,Syracuse
2014,5,29,169,Ronald Powell,SAINTS,LB,Florida
2014,5,30,170,Keith Reaser,49ERS,DB,Florida Atlantic
2014,5,31,171,Jordan Tripp,DOLPHINS,LB,Montana
2014,5,32,172,Jimmy Staten,SEAHAWKS,DT,Middle Tennessee State
2014,5,33,173,Wesley Johnson,STEELERS, T,Vanderbilt
2014,5,34,174,Devon Kennard,GIANTS,LB,USC
2014,5,35,175,John Urschel,RAVENS, G,Penn State
2014,5,36,176,Jared Abbrederis,PACKERS,WR,Wisconsin
2014,6,1,177,Jeoffrey Pagan,TEXANS,DE,Alabama
2014,6,2,178,Zach Mettenberger,TITANS,QB,Louisiana State
2014,6,3,179,Jon Halapio,PATRIOTS, G,Florida
2014,6,4,180,Kenneth Acker,49ERS,DB,Southern Methodist
2014,6,5,181,Alfred Blue,TEXANS,RB,Louisiana State
2014,6,6,182,Antone Exum,VIKINGS,DB,Virginia Tech
2014,6,7,183,David Fales,BEARS,QB,San Jose State
2014,6,8,184,Kendall James,VIKINGS,DB,Maine
2014,6,9,185,Robert Herron,BUCCANEERS,WR,Wyoming
2014,6,10,186,Lache Seastrunk,TEAM,RB,Baylor
2014,6,11,187,Bennett Jackson,GIANTS,DB,Notre Dame
2014,6,12,188,E.J. Gaines,RAMS,DB,Missouri
2014,6,13,189,T.J. Jones,LIONS,WR,Notre Dame
2014,6,14,190,Matt Hazel,DOLPHINS,WR,Coastal Carolina
2014,6,15,191,Pat O\'Donnell,BEARS, P,Miami (FL)
2014,6,16,192,Jordan Zumwalt,STEELERS,LB,UCLA
2014,6,17,193,Zach Fulton,CHIEFS, G,Tennessee
2014,6,18,194,Keith Wenning,RAVENS,QB,Ball State
2014,6,19,195,Brandon Dixon,JETS,DB,Northwest Missouri State
2014,6,20,196,Walt Powell,CARDINALS,WR,Murray State
2014,6,21,197,Demetri Goodson,PACKERS,DB,Baylor
2014,6,22,198,Zach Moore,PATRIOTS,DE,Concordia (MN)
2014,6,23,199,Garrett Scott,SEAHAWKS, T,Marshall
2014,6,24,200,Laurent Duvernay-Tardif,CHIEFS, T,McGill
2014,6,25,201,Marion Grice,CHARGERS,RB,Arizona State
2014,6,26,202,Tavon Rooks,SAINTS, T,Kansas State
2014,6,27,203,Andrew Jackson,COLTS,LB,Western Kentucky
2014,6,28,204,Tyler Gaffney,PANTHERS,RB,Stanford
2014,6,29,205,Luke Bowanko,JAGUARS, C,Virginia
2014,6,30,206,Jemea Thomas,PATRIOTS,DB,Georgia Tech
2014,6,31,207,Matt Paradis,BRONCOS, C,Boise State
2014,6,32,208,Eric Pinkins,SEAHAWKS,DB,San Diego State
2014,6,33,209,Quincy Enunwa,JETS,WR,Nebraska
2014,6,34,210,IK Enemkpali,JETS,DE,Louisiana Tech
2014,6,35,211,Jay Prosch,TEXANS,RB,Auburn
2014,6,36,212,Marquis Flowers,BENGALS,LB,Arizona
2014,6,37,213,Tajh Boyd,JETS,QB,Clemson
2014,6,38,214,Garrett Gilbert,RAMS,QB,Southern Methodist
2014,6,39,215,Daniel McCullers,STEELERS,DT,Tennessee
2014,7,1,216,Andre Hal,TEXANS,DB,Vanderbilt
2014,7,2,217,Ted Bolser,TEAM,TE,Indiana
2014,7,3,218,Mike Campanaro,RAVENS,WR,Wake Forest
2014,7,4,219,Travis Carrie,RAIDERS,DB,Ohio
2014,7,5,220,Shamar Stephen,VIKINGS,DT,Connecticut
2014,7,6,221,Randell Johnson,BILLS,LB,Florida Atlantic
2014,7,7,222,Storm Johnson,JAGUARS,RB,Central Florida
2014,7,8,223,Brandon Watts,VIKINGS,LB,Georgia Tech
2014,7,9,224,Beau Allen,EAGLES,DT,Wisconsin
2014,7,10,225,Jabari Price,VIKINGS,DB,North Carolina
2014,7,11,226,Mitchell Van Dyk,RAMS, T,Portland State
2014,7,12,227,Kiero Small,SEAHAWKS,RB,Arkansas
2014,7,13,228,Zach Hocker,TEAM, K,Arkansas
2014,7,14,229,Nate Freese,LIONS, K,Boston College
2014,7,15,230,Rob Blanchflower,STEELERS,TE,Massachusetts
2014,7,16,231,Ben Gardner,COWBOYS,DE,Stanford
2014,7,17,232,Ulrick John,COLTS, T,Georgia State
2014,7,18,233,Trevor Reilly,JETS,LB,Utah
2014,7,19,234,Terrence Fede,DOLPHINS,DE,Marist
2014,7,20,235,Shelby Harris,RAIDERS,DE,Illinois State
2014,7,21,236,Jeff Janis,PACKERS,WR,Saginaw Valley State
2014,7,22,237,Seantrel Henderson,BILLS, T,Miami (FL)
2014,7,23,238,Will Smith,COWBOYS,LB,Texas Tech
2014,7,24,239,James Wright,BENGALS,WR,Louisiana State
2014,7,25,240,Tevin Reese,CHARGERS,WR,Baylor
2014,7,26,241,C.B. Bryant,RAMS,DB,Ohio State
2014,7,27,242,Corey Nelson,BRONCOS,LB,Oklahoma
2014,7,28,243,Kaleb Ramsey,49ERS,DE,Boston College
2014,7,29,244,Jeremy Gallon,PATRIOTS,WR,Michigan
2014,7,30,245,Trey Millard,49ERS,RB,Oklahoma
2014,7,31,246,Charles Leno ,BEARS, T,Boise State
2014,7,32,247,Jonathan Dowling,RAIDERS,DB,Western Kentucky
2014,7,33,248,Ahmad Dixon,COWBOYS,DB,Baylor
2014,7,34,249,Michael Sam,RAMS,DE,Missouri
2014,7,35,250,Demetrius Rhaney,RAMS, C,Tennessee State
2014,7,36,251,Ken Bishop,COWBOYS,DT,Northern Illinois
2014,7,37,252,Lavelle Westbrooks,BENGALS,DB,Georgia Southern
2014,7,38,253,Yawin Smallwood,FALCONS,LB,Connecticut
2014,7,39,254,Terrance Mitchell,COWBOYS,DB,Oregon
2014,7,40,255,Tyler Starr,FALCONS,LB,South Dakota
2014,7,41,256,Lonnie Ballentine,TEXANS,DB,Memphis
2015,1,1,1,Jameis Winston,BUCCANEERS,QB,Florida State
2015,1,2,2,Marcus Mariota,TITANS,QB,Oregon
2015,1,3,3,Dante Fowler,JAGUARS,LB,Florida
2015,1,4,4,Amari Cooper,RAIDERS,WR,Alabama
2015,1,5,5,Brandon Scherff,TEAM, G,Iowa
2015,1,6,6,Leonard Williams,JETS,DE,USC
2015,1,7,7,Kevin White,BEARS,WR,West Virginia
2015,1,8,8,Vic Beasley,FALCONS,LB,Clemson
2015,1,9,9,Ereck Flowers,GIANTS, G,Miami (FL)
2015,1,10,10,Todd Gurley,RAMS,RB,Georgia
2015,1,11,11,Trae Waynes,VIKINGS,DB,Michigan State
2015,1,12,12,Danny Shelton,BROWNS,DT,Washington
2015,1,13,13,Andrus Peat,SAINTS, T,Stanford
2015,1,14,14,DeVante Parker,DOLPHINS,WR,Louisville
2015,1,15,15,Melvin Gordon,CHARGERS,RB,Wisconsin
2015,1,16,16,Kevin Johnson,TEXANS,DB,Wake Forest
2015,1,17,17,Arik Armstead,49ERS,DT,Oregon
2015,1,18,18,Marcus Peters,CHIEFS,DB,Washington
2015,1,19,19,Cameron Erving,BROWNS, C,Florida State
2015,1,20,20,Nelson Agholor,EAGLES,WR,USC
2015,1,21,21,Cedric Ogbuehi,BENGALS, T,Texas A&M
2015,1,22,22,Bud Dupree,STEELERS,LB,Kentucky
2015,1,23,23,Shane Ray,BRONCOS,DE,Missouri
2015,1,24,24,D.J. Humphries,CARDINALS, T,Florida
2015,1,25,25,Shaq Thompson,PANTHERS,LB,Washington
2015,1,26,26,Breshad Perriman,RAVENS,WR,Central Florida
2015,1,27,27,Byron Jones,COWBOYS,DB,Connecticut
2015,1,28,28,Laken Tomlinson,LIONS, G,Duke
2015,1,29,29,Phillip Dorsett,COLTS,WR,Miami (FL)
2015,1,30,30,Damarious Randall,PACKERS,DB,Arizona State
2015,1,31,31,Stephone Anthony,SAINTS,LB,Clemson
2015,1,32,32,Malcom Brown,PATRIOTS,DT,Texas
2015,2,1,33,Landon Collins,GIANTS,DB,Alabama
2015,2,2,34,Donovan Smith,BUCCANEERS, T,Penn State
2015,2,3,35,Mario Edwards,RAIDERS,DT,Florida State
2015,2,4,36,T.J. Yeldon,JAGUARS,RB,Alabama
2015,2,5,37,Devin Smith,JETS,WR,Ohio State
2015,2,6,38,Preston Smith,TEAM,DE,Mississippi State
2015,2,7,39,Eddie Goldman,BEARS,DT,Florida State
2015,2,8,40,Dorial Green-Beckham,TITANS,WR,Missouri
2015,2,9,41,Devin Funchess,PANTHERS,WR,Michigan
2015,2,10,42,Jalen Collins,FALCONS,DB,Louisiana State
2015,2,11,43,Benardrick McKinney,TEXANS,LB,Mississippi State
2015,2,12,44,Hau\'oli Kikaha,SAINTS,LB,Washington
2015,2,13,45,Eric Kendricks,VIKINGS,LB,UCLA
2015,2,14,46,Jaquiski Tartt,49ERS,DB,Samford
2015,2,15,47,Eric Rowe,EAGLES,DB,Utah
2015,2,16,48,Denzel Perryman,CHARGERS,LB,Miami (FL)
2015,2,17,49,Mitch Morse,CHIEFS, G,Missouri
2015,2,18,50,Ronald Darby,BILLS,DB,Florida State
2015,2,19,51,Nate Orchard,BROWNS,DE,Utah
2015,2,20,52,Jordan Phillips,DOLPHINS,DT,Oklahoma
2015,2,21,53,Jake Fisher,BENGALS, T,Oregon
2015,2,22,54,Ameer Abdullah,LIONS,RB,Nebraska
2015,2,23,55,Maxx Williams,RAVENS,TE,Minnesota
2015,2,24,56,Senquez Golson,STEELERS,DB,Mississippi
2015,2,25,57,Rob Havenstein,RAMS, T,Wisconsin
2015,2,26,58,Markus Golden,CARDINALS,DE,Missouri
2015,2,27,59,Ty Sambrailo,BRONCOS, T,Colorado State
2015,2,28,60,Randy Gregory,COWBOYS,LB,Nebraska
2015,2,29,61,Ali Marpet,BUCCANEERS, C,Hobart
2015,2,30,62,Quinten Rollins,PACKERS,DB,Miami (OH)
2015,2,31,63,Frank Clark,SEAHAWKS,DE,Michigan
2015,2,32,64,Jordan Richards,PATRIOTS,DB,Stanford
2015,3,1,65,D\'Joun Smith,COLTS,DB,Florida Atlantic
2015,3,2,66,Jeremiah Poutasi,TITANS, G,Utah
2015,3,3,67,A.J. Cann,JAGUARS, G,South Carolina
2015,3,4,68,Clive Walford,RAIDERS,TE,Miami (FL)
2015,3,5,69,Tyler Lockett,SEAHAWKS,WR,Kansas State
2015,3,6,70,Jaelen Strong,TEXANS,WR,Arizona State
2015,3,7,71,Hroniss Grasu,BEARS, C,Oregon
2015,3,8,72,Jamon Brown,RAMS, T,Louisville
2015,3,9,73,Tevin Coleman,FALCONS,RB,Indiana
2015,3,10,74,Owamagbe Odighizuwa,GIANTS,DE,UCLA
2015,3,11,75,Garrett Grayson,SAINTS,QB,Colorado State
2015,3,12,76,Chris Conley,CHIEFS,WR,Georgia
2015,3,13,77,Duke Johnson ,BROWNS,RB,Miami (FL)
2015,3,14,78,P.J. Williams,SAINTS,DB,Florida State
2015,3,15,79,Eli Harold,49ERS,LB,Virginia
2015,3,16,80,Alex Carter,LIONS,DB,Stanford
2015,3,17,81,John Miller,BILLS, G,Louisville
2015,3,18,82,Lorenzo Mauldin,JETS,LB,Louisville
2015,3,19,83,Craig Mager,CHARGERS,DB,Texas State
2015,3,20,84,Jordan Hicks,EAGLES,LB,Texas
2015,3,21,85,Tyler Kroft,BENGALS,TE,Rutgers
2015,3,22,86,David Johnson,CARDINALS,RB,Northern Iowa
2015,3,23,87,Sammie Coates,STEELERS,WR,Auburn
2015,3,24,88,Danielle Hunter,VIKINGS,DE,Louisiana State
2015,3,25,89,Sean Mannion,RAMS,QB,Oregon State
2015,3,26,90,Carl Davis,RAVENS,DT,Iowa
2015,3,27,91,Chaz Green,COWBOYS, T,Florida
2015,3,28,92,Jeff Heuerman,BRONCOS,TE,Ohio State
2015,3,29,93,Henry Anderson,COLTS,DE,Stanford
2015,3,30,94,Ty Montgomery,PACKERS,WR,Stanford
2015,3,31,95,Matt Jones,TEAM,RB,Florida
2015,3,32,96,Xavier Cooper,BROWNS,DT,Washington State
2015,3,33,97,Geneo Grissom,PATRIOTS,DE,Oklahoma
2015,3,34,98,Steven Nelson,CHIEFS,DB,Oregon State
2015,3,35,99,Paul Dawson,BENGALS,LB,Texas Christian
2015,4,1,100,Angelo Blackson,TITANS,DT,Auburn
2015,4,2,101,Trey Flowers,PATRIOTS,DE,Arkansas
2015,4,3,102,Daryl Williams,PANTHERS, G,Oklahoma
2015,4,4,103,Bryce Petty,JETS,QB,Baylor
2015,4,5,104,James Sample,JAGUARS,DB,Louisville
2015,4,6,105,Jamison Crowder,TEAM,WR,Duke
2015,4,7,106,Jeremy Langford,BEARS,RB,Michigan State
2015,4,8,107,Justin Hardy,FALCONS,WR,East Carolina
2015,4,9,108,Jalston Fowler,TITANS,RB,Alabama
2015,4,10,109,Clayton Geathers,COLTS,DB,Central Florida
2015,4,11,110,T.J. Clemmings,VIKINGS, T,Pittsburgh
2015,4,12,111,Tre\' Jackson,PATRIOTS, G,Florida State
2015,4,13,112,Arie Kouandjio,TEAM, G,Alabama
2015,4,14,113,Gabe Wright,LIONS,DT,Auburn
2015,4,15,114,Jamil Douglas,DOLPHINS, G,Arizona State
2015,4,16,115,Ibraheim Campbell,BROWNS,DB,Northwestern
2015,4,17,116,Rodney Gunter,CARDINALS,DT,Delaware State
2015,4,18,117,Blake Bell,49ERS,TE,Oklahoma
2015,4,19,118,Ramik Wilson,CHIEFS,LB,Georgia
2015,4,20,119,Andrew Donnal,RAMS, T,Iowa
2015,4,21,120,Josh Shaw,BENGALS,DB,USC
2015,4,22,121,Doran Grant,STEELERS,DB,Ohio State
2015,4,23,122,Za\'Darius Smith,RAVENS,DE,Kentucky
2015,4,24,123,Vince Mayle,BROWNS,WR,Washington State
2015,4,25,124,Kwon Alexander,BUCCANEERS,LB,Louisiana State
2015,4,26,125,Javorius Allen,RAVENS,RB,USC
2015,4,27,126,Mike Davis,49ERS,RB,South Carolina
2015,4,28,127,Damien Wilson,COWBOYS,LB,Minnesota
2015,4,29,128,Jon Feliciano,RAIDERS, G,Miami (FL)
2015,4,30,129,Jake Ryan,PACKERS,LB,Michigan
2015,4,31,130,Terry Poole,SEAHAWKS, G,San Diego State
2015,4,32,131,Shaquille Mason,PATRIOTS, C,Georgia Tech
2015,4,33,132,DeAndre Smelter,49ERS,WR,Georgia Tech
2015,4,34,133,Max Garcia,BRONCOS, C,Florida
2015,4,35,134,Mark Glowinski,SEAHAWKS, G,West Virginia
2015,4,36,135,Marcus Hardison,BENGALS,DE,Arizona State
2015,4,37,136,Tray Walker,RAVENS,DB,Texas Southern
2015,5,1,137,Grady Jarrett,FALCONS,DT,Clemson
2015,5,2,138,David Cobb,TITANS,RB,Minnesota
2015,5,3,139,Rashad Greene,JAGUARS,WR,Florida State
2015,5,4,140,Ben Heeney,RAIDERS,LB,Kansas
2015,5,5,141,Martrell Spaight,TEAM,LB,Arkansas
2015,5,6,142,Adrian Amos,BEARS,DB,Penn State
2015,5,7,143,MyCole Pruitt,VIKINGS,TE,Southern Illinois
2015,5,8,144,Mykkele Thompson,GIANTS,DB,Texas
2015,5,9,145,Bobby McCain,DOLPHINS,DB,Memphis
2015,5,10,146,Stefon Diggs,VIKINGS,WR,Maryland
2015,5,11,147,Brett Hundley,PACKERS,QB,UCLA
2015,5,12,148,Davis Tull,SAINTS,LB,Tennessee-Chattanooga
2015,5,13,149,Jay Ajayi,DOLPHINS,RB,Boise State
2015,5,14,150,Cedric Thompson,DOLPHINS,DB,Minnesota
2015,5,15,151,David Parry,COLTS,DT,Stanford
2015,5,16,152,Jarvis Harrison,JETS, G,Texas A&M
2015,5,17,153,Kyle Emanuel,CHARGERS,LB,North Dakota State
2015,5,18,154,Tyeler Davison,SAINTS,DT,Fresno State
2015,5,19,155,Karlos Williams,BILLS,RB,Florida State
2015,5,20,156,Tony Lippett,DOLPHINS,WR,Michigan State
2015,5,21,157,C.J. Uzomah,BENGALS,TE,Auburn
2015,5,22,158,Shaquille Riddick,CARDINALS,DE,West Virginia
2015,5,23,159,J.J. Nelson,CARDINALS,WR,Alabama-Birmingham
2015,5,24,160,Jesse James,STEELERS,TE,Penn State
2015,5,25,161,Neiron Ball,RAIDERS,LB,Florida
2015,5,26,162,Kenny Bell,BUCCANEERS,WR,Nebraska
2015,5,27,163,Ryan Russell,COWBOYS,DE,Purdue
2015,5,28,164,Lorenzo Doss,BRONCOS,DB,Tulane
2015,5,29,165,Bradley Pinion,49ERS, P,Clemson
2015,5,30,166,Joe Cardona,PATRIOTS, C,Navy
2015,5,31,167,Damian Swann,SAINTS,DB,Georgia
2015,5,32,168,Michael Burton,LIONS,RB,Rutgers
2015,5,33,169,David Mayo,PANTHERS,LB,Texas State
2015,5,34,170,Tye Smith,SEAHAWKS,DB,Towson
2015,5,35,171,Nick Boyle,RAVENS,TE,Delaware
2015,5,36,172,D.J. Alexander,CHIEFS,LB,Oregon State
2015,5,37,173,James O\'Shaughnessy,CHIEFS,TE,Illinois State
2015,5,38,174,Cameron Artis-Payne,PANTHERS,RB,Auburn
2015,5,39,175,Keith Mumphery,TEXANS,WR,Michigan State
2015,5,40,176,Robert Myers,RAVENS, G,Tennessee State
2015,6,1,177,Deiontrez Mount,TITANS,LB,Louisville
2015,6,2,178,Matthew Wells,PATRIOTS,LB,Mississippi State
2015,6,3,179,Max Valles,RAIDERS,LB,Virginia
2015,6,4,180,Michael Bennett,JAGUARS,DT,Ohio State
2015,6,5,181,Kyshoen Jarrett,TEAM,DB,Virginia Tech
2015,6,6,182,Tevin Mitchel,TEAM,DB,Arkansas
2015,6,7,183,Tayo Fabuluje,BEARS, G,Texas Christian
2015,6,8,184,Kaelin Clay,BUCCANEERS,WR,Utah
2015,6,9,185,Tyrus Thompson,VIKINGS, T,Oklahoma
2015,6,10,186,Geremy Davis,GIANTS,WR,Connecticut
2015,6,11,187,Evan Spencer,TEAM,WR,Ohio State
2015,6,12,188,Tony Steward,BILLS,LB,Clemson
2015,6,13,189,Charles Gaines,BROWNS,DB,Louisville
2015,6,14,190,Ian Silberman,49ERS, G,Boston College
2015,6,15,191,JaCorey Shepherd,EAGLES,DB,Kansas
2015,6,16,192,Darius Philon,CHARGERS,DT,Arkansas
2015,6,17,193,B.J. Dubose,VIKINGS,DE,Louisville
2015,6,18,194,Nick O\'Leary,BILLS,TE,Florida State
2015,6,19,195,Malcolm Johnson,BROWNS,TE,Mississippi State
2015,6,20,196,Randall Evans,EAGLES,DB,Kansas State
2015,6,21,197,Derron Smith,BENGALS,DB,Fresno State
2015,6,22,198,Randall Telfer,BROWNS,TE,USC
2015,6,23,199,Leterrius Walton,STEELERS,DT,Central Michigan
2015,6,24,200,Quandre Diggs,LIONS,DB,Texas
2015,6,25,201,Bud Sasser,RAMS,WR,Missouri
2015,6,26,202,A.J. Derby,PATRIOTS,TE,Arkansas
2015,6,27,203,Darius Kilgo,BRONCOS,DT,Maryland
2015,6,28,204,Darren Waller,RAVENS,WR,Georgia Tech
2015,6,29,205,Josh Robinson,COLTS,RB,Mississippi State
2015,6,30,206,Aaron Ripkowski,PACKERS,RB,Oklahoma
2015,6,31,207,Amarlo Herrera,COLTS,LB,Georgia
2015,6,32,208,Andy Gallik,TITANS, C,Boston College
2015,6,33,209,Obum Gwacham,SEAHAWKS,DE,Oregon State
2015,6,34,210,Christian Ringo,PACKERS,DE,Louisiana-Lafayette
2015,6,35,211,Reshard Cliett,TEXANS,LB,South Florida
2015,6,36,212,Anthony Chickillo,STEELERS,DE,Miami (FL)
2015,6,37,213,Kennard Backman,PACKERS,TE,Alabama-Birmingham
2015,6,38,214,Kristjan Sokoli,SEAHAWKS,DT,Buffalo
2015,6,39,215,Cody Wichmann,RAMS, G,Fresno State
2015,6,40,216,Christian Covington,TEXANS,DT,Rice
2015,6,41,217,Rakeem Nunez-Roches,CHIEFS,DT,Southern Mississippi
2015,7,1,218,Anthony Morris,RAIDERS, T,Tennessee State
2015,7,2,219,Hayes Pullard,BROWNS,LB,USC
2015,7,3,220,Neal Sterling,JAGUARS,WR,Monmouth
2015,7,4,221,Andre Debose,RAIDERS,WR,Florida
2015,7,5,222,Austin Reiter,TEAM, C,South Florida
2015,7,6,223,Deon Simon,JETS,DT,Northwestern State (LA)
2015,7,7,224,Bryce Hager,RAMS,LB,Baylor
2015,7,8,225,Jake Rodgers,FALCONS, T,Eastern Washington
2015,7,9,226,Bobby Hart,GIANTS, G,Florida State
2015,7,10,227,Martin Ifedi,RAMS,DE,Memphis
2015,7,11,228,Austin Shepherd,VIKINGS, T,Alabama
2015,7,12,229,Ben Koyack,JAGUARS,TE,Notre Dame
2015,7,13,230,Marcus Murphy,SAINTS,RB,Missouri
2015,7,14,231,Joey Iosefa,BUCCANEERS,RB,Hawaii
2015,7,15,232,Edmond Robinson,VIKINGS,LB,Newberry
2015,7,16,233,Da\'Ron Brown,CHIEFS,WR,Northern Illinois
2015,7,17,234,Dezmin Lewis,BILLS,WR,Central Arkansas
2015,7,18,235,Kenny Hilliard,TEXANS,RB,Louisiana State
2015,7,19,236,Mark Nzeocha,COWBOYS,LB,Wyoming
2015,7,20,237,Brian Mihalik,EAGLES,DE,Boston College
2015,7,21,238,Mario Alford,BENGALS,WR,West Virginia
2015,7,22,239,Gerod Holliman,STEELERS,DB,Louisville
2015,7,23,240,Corey Robinson,LIONS, T,South Carolina
2015,7,24,241,Ifo Ekpre-Olomu,BROWNS,DB,Oregon
2015,7,25,242,Dexter McDonald,RAIDERS,DB,Kansas
2015,7,26,243,Laurence Gibson,COWBOYS, T,Virginia Tech
2015,7,27,244,Trent Brown,49ERS, G,Florida
2015,7,28,245,Tre McBride,TITANS,WR,William & Mary
2015,7,29,246,Geoff Swaim,COWBOYS,TE,Texas
2015,7,30,247,Darryl Roberts,PATRIOTS,DB,Marshall
2015,7,31,248,Ryan Murphy,SEAHAWKS,DB,Oregon State
2015,7,32,249,Akeem King,FALCONS,DB,San Jose State
2015,7,33,250,Trevor Siemian,BRONCOS,QB,Northwestern
2015,7,34,251,Taurean Nixon,BRONCOS,DB,Tulane
2015,7,35,252,Josh Furman,BRONCOS,DB,Oklahoma State
2015,7,36,253,Xzavier Dickson,PATRIOTS,LB,Alabama
2015,7,37,254,Rory \'Busta\' Anderson,49ERS,TE,South Carolina
2015,7,38,255,Denzell Goode,COLTS, T,Mars Hill
2015,7,39,256,Gerald Christian,CARDINALS,TE,Louisville
2016,1,1,1,Jared Goff,RAMS,QB,California
2016,1,2,2,Carson Wentz,EAGLES,QB,North Dakota State
2016,1,3,3,Joey Bosa,CHARGERS,DE,Ohio State
2016,1,4,4,Ezekiel Elliott,COWBOYS,RB,Ohio State
2016,1,5,5,Jalen Ramsey,JAGUARS,DB,Florida State
2016,1,6,6,Ronnie Stanley,RAVENS, T,Notre Dame
2016,1,7,7,DeForest Buckner,49ERS,DE,Oregon
2016,1,8,8,Jack Conklin,TITANS, T,Michigan State
2016,1,9,9,Leonard Floyd,BEARS,LB,Georgia
2016,1,10,10,Eli Apple,GIANTS,DB,Ohio State
2016,1,11,11,Vernon Hargreaves,BUCCANEERS,DB,Florida
2016,1,12,12,Sheldon Rankins,SAINTS,DT,Louisville
2016,1,13,13,Laremy Tunsil,DOLPHINS, T,Mississippi
2016,1,14,14,Karl Joseph,RAIDERS,DB,West Virginia
2016,1,15,15,Corey Coleman,BROWNS,WR,Baylor
2016,1,16,16,Taylor Decker,LIONS, T,Ohio State
2016,1,17,17,Keanu Neal,FALCONS,DB,Florida
2016,1,18,18,Ryan Kelly,COLTS, C,Alabama
2016,1,19,19,Shaq Lawson,BILLS,DE,Clemson
2016,1,20,20,Darron Lee,JETS,LB,Ohio State
2016,1,21,21,Will Fuller,TEXANS,WR,Notre Dame
2016,1,22,22,Josh Doctson,TEAM,WR,Texas Christian
2016,1,23,23,Laquon Treadwell,VIKINGS,WR,Mississippi
2016,1,24,24,William Jackson ,BENGALS,DB,Houston
2016,1,25,25,Artie Burns,STEELERS,DB,Miami (FL)
2016,1,26,26,Paxton Lynch,BRONCOS,QB,Memphis
2016,1,27,27,Kenny Clark,PACKERS,DT,UCLA
2016,1,28,28,Joshua Garnett,49ERS, G,Stanford
2016,1,29,29,Robert Nkemdiche,CARDINALS,DT,Mississippi
2016,1,30,30,Vernon Butler,PANTHERS,DT,Louisiana Tech
2016,1,31,31,Germain Ifedi,SEAHAWKS, G,Texas A&M
2016,2,1,32,Emmanuel Ogbah,BROWNS,DE,Oklahoma State
2016,2,2,33,Kevin Dodd,TITANS,DE,Clemson
2016,2,3,34,Jaylon Smith,COWBOYS,LB,Notre Dame
2016,2,4,35,Hunter Henry,CHARGERS,TE,Arkansas
2016,2,5,36,Myles Jack,JAGUARS,LB,UCLA
2016,2,6,37,Chris Jones,CHIEFS,DT,Mississippi State
2016,2,7,38,Xavien Howard,DOLPHINS,DB,Baylor
2016,2,8,39,Noah Spence,BUCCANEERS,DE,Eastern Kentucky
2016,2,9,40,Sterling Shepard,GIANTS,WR,Oklahoma
2016,2,10,41,Reggie Ragland,BILLS,LB,Alabama
2016,2,11,42,Kamalei Correa,RAVENS,DE,Boise State
2016,2,12,43,Austin Johnson,TITANS,DT,Penn State
2016,2,13,44,Jihad Ward,RAIDERS,DE,Illinois
2016,2,14,45,Derrick Henry,TITANS,RB,Alabama
2016,2,15,46,A\'Shawn Robinson,LIONS,DT,Alabama
2016,2,16,47,Michael Thomas,SAINTS,WR,Ohio State
2016,2,17,48,Jason Spriggs,PACKERS, T,Indiana
2016,2,18,49,Jarran Reed,SEAHAWKS,DT,Alabama
2016,2,19,50,Nick Martin,TEXANS, G,Notre Dame
2016,2,20,51,Christian Hackenberg,JETS,QB,Penn State
2016,2,21,52,Deion Jones,FALCONS,LB,Louisiana State
2016,2,22,53,Su\'a Cravens,TEAM,LB,USC
2016,2,23,54,Mackensie Alexander,VIKINGS,DB,Clemson
2016,2,24,55,Tyler Boyd,BENGALS,WR,Pittsburgh
2016,2,25,56,Cody Whitehair,BEARS, G,Kansas State
2016,2,26,57,T.J. Green,COLTS,DB,Clemson
2016,2,27,58,Sean Davis,STEELERS,DB,Maryland
2016,2,28,59,Roberto Aguayo,BUCCANEERS, K,Florida State
2016,2,29,60,Cyrus Jones,PATRIOTS,DB,Alabama
2016,2,30,61,Vonn Bell,SAINTS,DB,Ohio State
2016,2,31,62,James Bradberry,PANTHERS,DB,Samford
2016,2,32,63,Adam Gotsis,BRONCOS,DT,Georgia Tech
2016,3,1,64,Kevin Byard,TITANS,DB,Middle Tennessee State
2016,3,2,65,Carl Nassib,BROWNS,DE,Penn State
2016,3,3,66,Max Tuerk,CHARGERS, C,USC
2016,3,4,67,Maliek Collins,COWBOYS,DT,Nebraska
2016,3,5,68,Will Redmond,49ERS,DB,Mississippi State
2016,3,6,69,Yannick Ngakoue,JAGUARS,DE,Maryland
2016,3,7,70,Bronson Kaufusi,RAVENS,DE,Brigham Young
2016,3,8,71,Darian Thompson,GIANTS,DB,Boise State
2016,3,9,72,Jonathan Bullard,BEARS,DT,Florida
2016,3,10,73,Kenyan Drake,DOLPHINS,RB,Alabama
2016,3,11,74,KeiVarae Russell,CHIEFS,DB,Notre Dame
2016,3,12,75,Shilique Calhoun,RAIDERS,DE,Michigan State
2016,3,13,76,Shon Coleman,BROWNS, T,Auburn
2016,3,14,77,Daryl Worley,PANTHERS,DB,West Virginia
2016,3,15,78,Joe Thuney,PATRIOTS, G,North Carolina State
2016,3,16,79,Isaac Seumalo,EAGLES, G,Oregon State
2016,3,17,80,Adolphus Washington,BILLS,DT,Ohio State
2016,3,18,81,Austin Hooper,FALCONS,TE,Stanford
2016,3,19,82,Le\'Raven Clark,COLTS, T,Texas Tech
2016,3,20,83,Jordan Jenkins,JETS,LB,Georgia
2016,3,21,84,Kendall Fuller,TEAM,DB,Virginia Tech
2016,3,22,85,Braxton Miller,TEXANS,WR,Ohio State
2016,3,23,86,Leonte Carroo,DOLPHINS,WR,Rutgers
2016,3,24,87,Nick Vigil,BENGALS,LB,Utah State
2016,3,25,88,Kyler Fackrell,PACKERS,LB,Utah State
2016,3,26,89,Javon Hargrave,STEELERS,DT,South Carolina State
2016,3,27,90,C.J. Prosise,SEAHAWKS,RB,Notre Dame
2016,3,29,91,Jacoby Brissett,PATRIOTS,QB,North Carolina State
2016,3,30,92,Brandon Williams,CARDINALS,DB,Texas A&M
2016,3,31,93,Cody Kessler,BROWNS,QB,USC
2016,3,32,94,Nick Vannett,SEAHAWKS,TE,Ohio State
2016,3,33,95,Graham Glasgow,LIONS, C,Michigan
2016,3,34,96,Vincent Valentine,PATRIOTS,DT,Nebraska
2016,3,35,97,Rees Odhiambo,SEAHAWKS, G,Boise State
2016,3,36,98,Justin Simmons,BRONCOS,DB,Boston College
2016,4,1,99,Joe Schobert,BROWNS,LB,Wisconsin
2016,4,2,100,Connor Cook,RAIDERS,QB,Michigan State
2016,4,3,101,Charles Tapper,COWBOYS,DE,Oklahoma
2016,4,4,102,Joshua Perry,CHARGERS,LB,Ohio State
2016,4,5,103,Sheldon Day,JAGUARS,DT,Notre Dame
2016,4,6,104,Tavon Young,RAVENS,DB,Temple
2016,4,7,105,Parker Ehinger,CHIEFS, G,Cincinnati
2016,4,8,106,Eric Murray,CHIEFS,DB,Minnesota
2016,4,9,107,Chris Moore,RAVENS,WR,Cincinnati
2016,4,10,108,Ryan Smith,BUCCANEERS,DB,North Carolina Central
2016,4,11,109,B.J. Goodson,GIANTS,LB,Clemson
2016,4,12,110,Tyler Higbee,RAMS,TE,Western Kentucky
2016,4,13,111,Miles Killebrew,LIONS,DB,Southern Utah
2016,4,14,112,Malcolm Mitchell,PATRIOTS,WR,Georgia
2016,4,15,113,Nick Kwiatkoski,BEARS,LB,West Virginia
2016,4,16,114,Ricardo Louis,BROWNS,WR,Auburn
2016,4,17,115,De\'Vondre Campbell,FALCONS,LB,Minnesota
2016,4,18,116,Hassan Ridgeway,COLTS,DT,Texas
2016,4,19,117,Pharoh Cooper,RAMS,WR,South Carolina
2016,4,20,118,Juston Burris,JETS,DB,North Carolina State
2016,4,21,119,Tyler Ervin,TEXANS,RB,San Jose State
2016,4,22,120,David Onyemata,SAINTS,DT,Manitoba
2016,4,23,121,Willie Beavers,VIKINGS, T,Western Michigan
2016,4,24,122,Andrew Billings,BENGALS,DT,Baylor
2016,4,25,123,Jerald Hawkins,STEELERS, T,Louisiana State
2016,4,26,124,Deon Bush,BEARS,DB,Miami (FL)
2016,4,27,125,Antonio Morrison,COLTS,LB,Florida
2016,4,28,126,Demarcus Robinson,CHIEFS,WR,Florida
2016,4,29,127,Deiondre\' Hall,BEARS,DB,Northern Iowa
2016,4,30,128,Evan Boehm,CARDINALS, C,Missouri
2016,4,31,129,Derrick Kindred,BROWNS,DB,Texas Christian
2016,4,32,130,Alex Lewis,RAVENS, T,Nebraska
2016,4,33,131,Blake Martinez,PACKERS,LB,Stanford
2016,4,34,132,Willie Henry,RAVENS,DT,Michigan
2016,4,35,133,Rashard Robinson,49ERS,DB,Louisiana State
2016,4,36,134,Kenneth Dixon,RAVENS,RB,Louisiana Tech
2016,4,37,135,Dak Prescott,COWBOYS,QB,Mississippi State
2016,4,38,136,Devontae Booker,BRONCOS,RB,Utah
2016,4,39,137,Dean Lowry,PACKERS,DE,Northwestern
2016,4,40,138,Seth Devalve,BROWNS,TE,Princeton
2016,4,41,139,Cardale Jones,BILLS,QB,Ohio State
2016,5,1,140,Tajae Sharpe,TITANS,WR,Massachusetts
2016,5,2,141,Zack Sanchez,PANTHERS,DB,Oklahoma
2016,5,3,142,Ronald Blair,49ERS,DE,Appalachian State
2016,5,4,143,DeAndre Washington,RAIDERS,RB,Texas Tech
2016,5,5,144,Connor McGovern,BRONCOS, G,Missouri
2016,5,6,145,John Theus,49ERS, T,Georgia
2016,5,7,146,Matt Judon,RAVENS,DE,Grand Valley State
2016,5,8,147,Quinton Jefferson,SEAHAWKS,DT,Maryland
2016,5,9,148,Caleb Benenoch,BUCCANEERS, T,UCLA
2016,5,10,149,Paul Perkins,GIANTS,RB,UCLA
2016,5,11,150,Jordan Howard,BEARS,RB,Indiana
2016,5,12,151,Joe Dahl,LIONS, G,Washington State
2016,5,13,152,Matthew Ioannidis,TEAM,DT,Temple
2016,5,14,153,Wendell Smallwood,EAGLES,RB,West Virginia
2016,5,15,154,Jordan Payton,BROWNS,WR,UCLA
2016,5,17,155,Joe Haeg,COLTS, T,North Dakota State
2016,5,18,156,Jonathan Williams,BILLS,RB,Arkansas
2016,5,20,157,LeShaun Sims,TITANS,DB,Southern Utah
2016,5,21,158,Brandon Shell,JETS, T,South Carolina
2016,5,22,159,K.J. Dillon,TEXANS,DB,West Virginia
2016,5,23,160,Kentrell Brothers,VIKINGS,LB,Missouri
2016,5,24,161,Christian Westerman,BENGALS, G,Arizona State
2016,5,25,162,Kevin Hogan,CHIEFS,QB,Stanford
2016,5,26,163,Trevor Davis,PACKERS,WR,California
2016,5,27,164,Halapoulivaati Vaitai,EAGLES, T,Texas Christian
2016,5,28,165,Tyreek Hill,CHIEFS,WR,West Alabama
2016,5,29,166,D.J. Reader,TEXANS,DT,Clemson
2016,5,30,167,Marqui Christian,CARDINALS,DB,Midwestern State (TX)
2016,5,31,168,Spencer Drango,BROWNS, G,Baylor
2016,5,32,169,Antwione Williams,LIONS,LB,Georgia Southern
2016,5,33,170,Cole Toner,CARDINALS, T,Harvard
2016,5,34,171,Alex Collins,SEAHAWKS,RB,Arkansas
2016,5,35,172,Rashard Higgins,BROWNS,WR,Colorado State
2016,5,36,173,Trey Caldwell,BROWNS,DB,Louisiana-Monroe
2016,5,37,174,Fahn Cooper,49ERS, T,Mississippi
2016,5,38,175,Jatavis Brown,CHARGERS,LB,Akron
2016,6,1,176,Andy Janovich,BRONCOS,RB,Nebraska
2016,6,2,177,Temarrick Hemingway,RAMS,TE,South Carolina State
2016,6,3,178,D.J. White,CHIEFS,DB,Georgia Tech
2016,6,4,179,Drew Kaser,CHARGERS, P,Texas A&M
2016,6,5,180,Moritz Boehringer,VIKINGS,WR,None
2016,6,6,181,Tyrone Holmes,JAGUARS,LB,Montana
2016,6,7,182,Keenan Reynolds,RAVENS,RB,Navy
2016,6,8,183,Devante Bond,BUCCANEERS,LB,Oklahoma
2016,6,9,184,Jerell Adams,GIANTS,TE,South Carolina
2016,6,10,185,DeAndre Houston-Carson,BEARS,DB,William & Mary
2016,6,11,186,Jakeem Grant,DOLPHINS,WR,Texas Tech
2016,6,12,187,Nate Sudfeld,TEAM,QB,Indiana
2016,6,13,188,David Morgan,VIKINGS,TE,Texas-San Antonio
2016,6,14,189,Anthony Brown,COWBOYS,DB,Purdue
2016,6,15,190,Josh Forrest,RAMS,LB,Kentucky
2016,6,16,191,Jake Rudock,LIONS,QB,Michigan
2016,6,17,192,Kolby Listenbee,BILLS,WR,Texas Christian
2016,6,18,193,Sebastian Tretola,TITANS, G,Arkansas
2016,6,19,194,Cory James,RAIDERS,LB,Colorado State
2016,6,20,195,Wes Schweitzer,FALCONS, G,San Jose State
2016,6,21,196,Blake Countess,EAGLES,DB,Auburn
2016,6,22,197,Dan Vitale,BUCCANEERS,RB,Northwestern
2016,6,23,198,Derek Watt,CHARGERS,RB,Wisconsin
2016,6,24,199,Cody Core,BENGALS,WR,Mississippi
2016,6,25,200,Kyle Murphy,PACKERS, T,Stanford
2016,6,26,201,Brandon Allen,JAGUARS,QB,Arkansas
2016,6,27,202,Anthony Zettel,LIONS,DT,Penn State
2016,6,28,203,Dadi Nicolas,CHIEFS,DE,Virginia Tech
2016,6,29,204,Jordan Lucas,DOLPHINS,DB,Penn State
2016,6,30,205,Harlan Miller,CARDINALS,DB,Southeastern Louisiana
2016,6,31,206,Mike Thomas,RAMS,WR,Southern Mississippi
2016,6,32,207,Jeff Driskel,49ERS,QB,Louisiana Tech
2016,6,33,208,Kamu Grugier-Hill,PATRIOTS,LB,Eastern Illinois
2016,6,34,209,Maurice Canady,RAVENS,DB,Virginia
2016,6,35,210,Jimmy Landes,LIONS, C,Baylor
2016,6,36,211,Kelvin Taylor,49ERS,RB,Florida
2016,6,37,212,Kavon Frazier,COWBOYS,DB,Central Michigan
2016,6,38,213,Aaron Burbridge,49ERS,WR,Michigan State
2016,6,39,214,Elandon Roberts,PATRIOTS,LB,Houston
2016,6,40,215,Joey Hunt,SEAHAWKS, C,Texas Christian
2016,6,41,216,Darius Jackson,COWBOYS,RB,Eastern Michigan
2016,6,42,217,Rico Gathers,COWBOYS,TE,Baylor
2016,6,43,218,Kevon Seymour,BILLS,DB,USC
2016,6,44,219,Will Parks,BRONCOS,DB,Arizona
2016,6,45,220,Travis Feeney,STEELERS,LB,Washington
2016,6,46,221,Ted Karras,PATRIOTS, G,Illinois
2016,7,1,222,Aaron Wallace,TITANS,LB,UCLA
2016,7,2,223,Brandon Doughty,DOLPHINS,QB,Western Kentucky
2016,7,3,224,Donavon Clark,CHARGERS, G,Michigan State
2016,7,4,225,Devin Lucien,PATRIOTS,WR,Arizona State
2016,7,5,226,Jonathan Woodard,JAGUARS,DE,Central Arkansas
2016,7,6,227,Stephen Weatherly,VIKINGS,LB,Vanderbilt
2016,7,7,228,Riley Dixon,BRONCOS, P,Syracuse
2016,7,8,229,DeMarcus Ayers,STEELERS,WR,Houston
2016,7,9,230,Daniel Braverman,BEARS,WR,Western Michigan
2016,7,10,231,Thomas Duarte,DOLPHINS,TE,UCLA
2016,7,11,232,Steven Daniels,TEAM,LB,Boston College
2016,7,12,233,Jalen Mills,EAGLES,DB,Louisiana State
2016,7,13,234,Vadal Alexander,RAIDERS, G,Louisiana State
2016,7,14,235,Lac Edwards,JETS, P,Sam Houston State
2016,7,15,236,Dwayne Washington,LIONS,RB,Washington
2016,7,16,237,Daniel Lasco,SAINTS,RB,California
2016,7,17,238,Devin Fuller,FALCONS,WR,UCLA
2016,7,18,239,Trevor Bates,COLTS,LB,Maine
2016,7,19,240,Alex McCalister,EAGLES,DE,Florida
2016,7,20,241,Charone Peake,JETS,WR,Clemson
2016,7,21,242,Keith Marshall,TEAM,RB,Georgia
2016,7,22,243,Kenny Lawler,SEAHAWKS,WR,California
2016,7,23,244,Jayron Kearse,VIKINGS,DB,Clemson
2016,7,24,245,Clayton Fejedelem,BENGALS,DB,Illinois
2016,7,25,246,Tyler Matakevich,STEELERS,LB,Temple
2016,7,26,247,Zac Brooks,SEAHAWKS,RB,Clemson
2016,7,27,248,Austin Blythe,COLTS, C,Iowa
2016,7,28,249,Prince Charles Iworah,49ERS,DB,Western Kentucky
2016,7,29,250,Scooby Wright ,BROWNS,LB,Arizona
2016,7,30,251,Joe Walker,EAGLES,LB,Oregon
2016,7,31,252,Beau Sandland,PANTHERS,TE,Montana State
2016,7,32,253,Kalan Reed,TITANS,DB,Southern Mississippi
2017,1,1,1,Myles Garrett,BROWNS,DE,Texas A&M
2017,1,2,2,Mitchell Trubisky,BEARS,QB,North Carolina
2017,1,3,3,Solomon Thomas,49ERS,DE,Stanford
2017,1,4,4,Leonard Fournette,JAGUARS,RB,Louisiana State
2017,1,5,5,Corey Davis,TITANS,WR,Western Michigan
2017,1,6,6,Jamal Adams,JETS,DB,Louisiana State
2017,1,7,7,Mike Williams,CHARGERS,WR,Clemson
2017,1,8,8,Christian McCaffrey,PANTHERS,RB,Stanford
2017,1,9,9,John Ross,BENGALS,WR,Washington
2017,1,10,10,Patrick Mahomes,CHIEFS,QB,Texas Tech
2017,1,11,11,Marshon Lattimore,SAINTS,DB,Ohio State
2017,1,12,12,Deshaun Watson,TEXANS,QB,Clemson
2017,1,13,13,Haason Reddick,CARDINALS,LB,Temple
2017,1,14,14,Derek Barnett,EAGLES,DE,Tennessee
2017,1,15,15,Malik Hooker,COLTS,DB,Ohio State
2017,1,16,16,Marlon Humphrey,RAVENS,DB,Alabama
2017,1,17,17,Jonathan Allen,TEAM,DE,Alabama
2017,1,18,18,Adoree\' Jackson,TITANS,DB,USC
2017,1,19,19,O.J. Howard,BUCCANEERS,TE,Alabama
2017,1,20,20,Garett Bolles,BRONCOS, T,Utah
2017,1,21,21,Jarrad Davis,LIONS,LB,Florida
2017,1,22,22,Charles Harris,DOLPHINS,LB,Missouri
2017,1,23,23,Evan Engram,GIANTS,TE,Mississippi
2017,1,24,24,Gareon Conley,RAIDERS,DB,Ohio State
2017,1,25,25,Jabrill Peppers,BROWNS,DB,Michigan
2017,1,26,26,Takkarist McKinley,FALCONS,DE,UCLA
2017,1,27,27,Tre\'Davious White,BILLS,DB,Louisiana State
2017,1,28,28,Taco Charlton,COWBOYS,DE,Michigan
2017,1,29,29,David Njoku,BROWNS,TE,Miami (FL)
2017,1,30,30,T.J. Watt,STEELERS,LB,Wisconsin
2017,1,31,31,Reuben Foster,49ERS,LB,Alabama
2017,1,32,32,Ryan Ramczyk,SAINTS, T,Wisconsin
2017,2,1,33,Kevin King,PACKERS,DB,Washington
2017,2,2,34,Cam Robinson,JAGUARS, T,Alabama
2017,2,3,35,Malik McDowell,SEAHAWKS,DT,Michigan State
2017,2,4,36,Budda Baker,CARDINALS,DB,Washington
2017,2,5,37,Zay Jones,BILLS,WR,East Carolina
2017,2,6,38,Forrest Lamp,CHARGERS, G,Western Kentucky
2017,2,7,39,Marcus Maye,JETS,DB,Florida
2017,2,8,40,Curtis Samuel,PANTHERS,WR,Ohio State
2017,2,9,41,Dalvin Cook,VIKINGS,RB,Florida State
2017,2,10,42,Marcus Williams,SAINTS,DB,Utah
2017,2,11,43,Sidney Jones,EAGLES,DB,Washington
2017,2,12,44,Gerald Everett,RAMS,TE,South Alabama
2017,2,13,45,Adam Shaheen,BEARS,TE,Ashland
2017,2,14,46,Quincy Wilson,COLTS,DB,Florida
2017,2,15,47,Tyus Bowser,RAVENS,LB,Houston
2017,2,16,48,Joe Mixon,BENGALS,RB,Oklahoma
2017,2,17,49,Ryan Anderson,TEAM,LB,Alabama
2017,2,18,50,Justin Evans,BUCCANEERS,DB,Texas A&M
2017,2,19,51,DeMarcus Walker,BRONCOS,DE,Florida State
2017,2,20,52,DeShone Kizer,BROWNS,QB,Notre Dame
2017,2,21,53,Teez Tabor,LIONS,DB,Florida
2017,2,22,54,Raekwon McMillan,DOLPHINS,LB,Ohio State
2017,2,23,55,Dalvin Tomlinson,GIANTS,DT,Alabama
2017,2,24,56,Obi Melifonwu,RAIDERS,DB,Connecticut
2017,2,25,57,Zach Cunningham,TEXANS,LB,Vanderbilt
2017,2,26,58,Ethan Pocic,SEAHAWKS, C,Louisiana State
2017,2,27,59,Tanoh Kpassagnon,CHIEFS,DE,Villanova
2017,2,28,60,Chidobe Awuzie,COWBOYS,DB,Colorado
2017,2,29,61,Josh Jones,PACKERS,DB,North Carolina State
2017,2,30,62,JuJu Smith-Schuster,STEELERS,WR,USC
2017,2,31,63,Dion Dawkins,BILLS, G,Temple
2017,2,32,64,Taylor Moton,PANTHERS, G,Western Michigan
2017,3,1,65,Larry Ogunjobi,BROWNS,DT,North Carolina-Charlotte
2017,3,2,66,Ahkello Witherspoon,49ERS,DB,Colorado
2017,3,3,67,Alvin Kamara,SAINTS,RB,Tennessee
2017,3,4,68,Dawuane Smoot,JAGUARS,DE,Illinois
2017,3,5,69,Cooper Kupp,RAMS,WR,Eastern Washington
2017,3,6,70,Pat Elflein,VIKINGS, C,Ohio State
2017,3,7,71,Dan Feeney,CHARGERS, G,Indiana
2017,3,8,72,Taywan Taylor,TITANS,WR,Western Kentucky
2017,3,9,73,Jordan Willis,BENGALS,LB,Kansas State
2017,3,10,74,Chris Wormley,RAVENS,DE,Michigan
2017,3,11,75,Duke Riley,FALCONS,LB,Louisiana State
2017,3,12,76,Alex Anzalone,SAINTS,LB,Florida
2017,3,13,77,Daeshon Hall,PANTHERS,DE,Texas A&M
2017,3,14,78,Tim Williams,RAVENS,LB,Alabama
2017,3,15,79,ArDarius Stewart,JETS,WR,Alabama
2017,3,16,80,Tarell Basham,COLTS,DE,Ohio
2017,3,17,81,Fabian Moreau,TEAM,DB,UCLA
2017,3,18,82,Carlos Henderson,BRONCOS,WR,Louisiana Tech
2017,3,19,83,Derek Rivers,PATRIOTS,DE,Youngstown State
2017,3,20,84,Chris Godwin,BUCCANEERS,WR,Penn State
2017,3,21,85,Antonio Garcia,PATRIOTS, T,Troy
2017,3,22,86,Kareem Hunt,CHIEFS,RB,Toledo
2017,3,23,87,Davis Webb,GIANTS,QB,California
2017,3,24,88,Eddie Vanderdoes,RAIDERS,DT,UCLA
2017,3,25,89,D\'Onta Foreman,TEXANS,RB,Texas
2017,3,26,90,Shaquill Griffin,SEAHAWKS,DB,Central Florida
2017,3,27,91,John Johnson,RAMS,DB,Boston College
2017,3,28,92,Jourdan Lewis,COWBOYS,DB,Michigan
2017,3,29,93,Montravius Adams,PACKERS,DT,Auburn
2017,3,30,94,Cameron Sutton,STEELERS,DB,Tennessee
2017,3,31,95,Delano Hill,SEAHAWKS,DB,Michigan
2017,3,32,96,Kenny Golladay,LIONS,WR,Northern Illinois
2017,3,33,97,Cordrea Tankersley,DOLPHINS,DB,Clemson
2017,3,34,98,Chad Williams,CARDINALS,WR,Grambling State
2017,3,35,99,Rasul Douglas,EAGLES,DB,West Virginia
2017,3,36,100,Jonnu Smith,TITANS,TE,Florida International
2017,3,37,101,Brendan Langley,BRONCOS,DB,Lamar
2017,3,38,102,Nazair Jones,SEAHAWKS,DT,North Carolina
2017,3,39,103,Trey Hendrickson,SAINTS,LB,Florida Atlantic
2017,3,40,104,C.J. Beathard,49ERS,QB,Iowa
2017,3,41,105,James Conner,STEELERS,RB,Pittsburgh
2017,3,42,106,Amara Darboh,SEAHAWKS,WR,Michigan
2017,3,43,107,Kendell Beckwith,BUCCANEERS,LB,Louisiana State
2017,4,1,108,Vince Biegel,PACKERS,LB,Wisconsin
2017,4,2,109,Jaleel Johnson,VIKINGS,DT,Iowa
2017,4,3,110,Dede Westbrook,JAGUARS,WR,Oklahoma
2017,4,4,111,Tedric Thompson,SEAHAWKS,DB,Colorado
2017,4,5,112,Eddie Jackson,BEARS,DB,Alabama
2017,4,6,113,Rayshawn Jenkins,CHARGERS,DB,Miami (FL)
2017,4,7,114,Samaje Perine,TEAM,RB,Oklahoma
2017,4,8,115,Dorian Johnson,CARDINALS, G,Pittsburgh
2017,4,9,116,Carl Lawson,BENGALS,LB,Auburn
2017,4,10,117,Josh Reynolds,RAMS,WR,Texas A&M
2017,4,12,118,Mack Hollins,EAGLES,WR,North Carolina
2017,4,13,119,Tarik Cohen,BEARS,RB,North Carolina A&T
2017,4,14,120,Ben Gedeon,VIKINGS,LB,Michigan
2017,4,15,121,Joe Williams,49ERS,RB,Utah
2017,4,16,122,Nico Siragusa,RAVENS, G,San Diego State
2017,4,17,123,Montae Nicholson,TEAM,DB,Michigan State
2017,4,18,124,Jalen Reeves-Maybin,LIONS,LB,Tennessee
2017,4,19,125,Samson Ebukam,RAMS,LB,Eastern Washington
2017,4,20,126,Howard Wilson,BROWNS,DB,Houston
2017,4,21,127,Michael Roberts,LIONS,TE,Toledo
2017,4,22,128,Josh Malone,BENGALS,WR,Tennessee
2017,4,23,129,David Sharpe,RAIDERS, T,Florida
2017,4,24,130,Julie\'n Davenport,TEXANS, T,Bucknell
2017,4,25,131,Deatrich Wise,PATRIOTS,DE,Arkansas
2017,4,26,132,Donnel Pumphrey,EAGLES,RB,San Diego State
2017,4,27,133,Ryan Switzer,COWBOYS,WR,North Carolina
2017,4,28,134,Jamaal Williams,PACKERS,RB,Brigham Young
2017,4,29,135,Joshua Dobbs,STEELERS,QB,Tennessee
2017,4,30,136,Sean Harlow,FALCONS, G,Oregon State
2017,4,31,137,Zach Banner,COLTS, T,USC
2017,4,32,138,Ryan Glasgow,BENGALS,DT,Michigan
2017,4,33,139,Jehu Chesson,CHIEFS,WR,Michigan
2017,4,34,140,Wayne Gallman,GIANTS,RB,Clemson
2017,4,35,141,Chad Hansen,JETS,WR,California
2017,4,36,142,Carlos Watkins,TEXANS,DT,Clemson
2017,4,37,143,Marlon Mack,COLTS,RB,South Florida
2017,4,38,144,Grover Stewart,COLTS,DT,Albany State
2017,5,1,145,Jake Butt,BRONCOS,TE,Michigan
2017,5,2,146,George Kittle,49ERS,TE,Iowa
2017,5,3,147,Jordan Morgan,BEARS, G,Kutztown (PA)
2017,5,4,148,Blair Brown,JAGUARS,LB,Ohio
2017,5,5,149,Damontae Kazee,FALCONS,DB,San Diego State
2017,5,6,150,Jordan Leggett,JETS,TE,Clemson
2017,5,7,151,Desmond King,CHARGERS,DB,Iowa
2017,5,8,152,Corn Elder,PANTHERS,DB,Miami (FL)
2017,5,9,153,Jake Elliott,BENGALS, K,Memphis
2017,5,10,154,Jeremy Sprinkle,TEAM,TE,Arkansas
2017,5,11,155,Jayon Brown,TITANS,LB,UCLA
2017,5,12,156,Brian Hill,FALCONS,RB,Wyoming
2017,5,13,157,Will Holden,CARDINALS, T,Vanderbilt
2017,5,14,158,Nate Hairston,COLTS,DB,Temple
2017,5,15,159,Jermaine Eluemunor,RAVENS, G,Texas A&M
2017,5,16,160,Roderick Johnson,BROWNS, T,Florida State
2017,5,17,161,Anthony Walker,COLTS,LB,Northwestern
2017,5,18,162,Jeremy McNichols,BUCCANEERS,RB,Boise State
2017,5,19,163,Matt Milano,BILLS,LB,Boston College
2017,5,20,164,Isaac Asiata,DOLPHINS, G,Utah
2017,5,21,165,Jamal Agnew,LIONS,DB,San Diego
2017,5,22,166,Shelton Gibson,EAGLES,WR,West Virginia
2017,5,23,167,Avery Moss,GIANTS,DE,Youngstown State
2017,5,24,168,Marquel Lee,RAIDERS,LB,Wake Forest
2017,5,25,169,Treston Decoud,TEXANS,DB,Oregon State
2017,5,27,170,Rodney Adams,VIKINGS,WR,South Florida
2017,5,28,171,Nathan Peterman,BILLS,QB,Pittsburgh
2017,5,29,172,Isaiah McKenzie,BRONCOS,WR,Georgia
2017,5,30,173,Brian Allen,STEELERS,DB,Utah
2017,5,31,174,Eric Saubert,FALCONS,TE,Drake
2017,5,32,175,DeAngelo Yancey,PACKERS,WR,Purdue
2017,5,33,176,J.J. Dielman,BENGALS, C,Utah
2017,5,34,177,Trent Taylor,49ERS,WR,Louisiana Tech
2017,5,35,178,Davon Godchaux,DOLPHINS,DT,Louisiana State
2017,5,36,179,T.J. Logan,CARDINALS,RB,North Carolina
2017,5,37,180,Danny Isidora,VIKINGS, G,Miami (FL)
2017,5,38,181,Dylan Donahue,JETS,DE,West Georgia
2017,5,39,182,Aaron Jones,PACKERS,RB,Texas-El Paso
2017,5,40,183,Ukeme Eligwe,CHIEFS,LB,Georgia Southern
2017,5,41,184,Nate Gerry,EAGLES,DB,Nebraska
2017,6,1,185,Caleb Brantley,BROWNS,DT,Florida
2017,6,2,186,Chuck Clark,RAVENS,DB,Virginia Tech
2017,6,3,187,Michael Tyson,SEAHAWKS,DB,Cincinnati
2017,6,4,188,Elijah McGuire,JETS,RB,Louisiana-Lafayette
2017,6,5,189,Tanzel Smart,RAMS,DT,Tulane
2017,6,6,190,Sam Tevi,CHARGERS, T,Utah
2017,6,7,191,Xavier Woods,COWBOYS,DB,Louisiana Tech
2017,6,8,192,Alex Armah,PANTHERS,RB,West Georgia
2017,6,9,193,Jordan Evans,BENGALS,LB,Oklahoma
2017,6,10,194,Vincent Taylor,DOLPHINS,DT,Oklahoma State
2017,6,11,195,Tanner Vallejo,BILLS,LB,Boise State
2017,6,12,196,Al-Quadin Muhammad,SAINTS,DE,Miami (FL)
2017,6,13,197,Jeremy Clark,JETS,DB,Michigan
2017,6,14,198,D.J. Jones,49ERS,DT,Mississippi
2017,6,15,199,Chase Roullier,TEAM, C,Wyoming
2017,6,16,200,Adam Bisnowaty,GIANTS, T,Pittsburgh
2017,6,17,201,Bucky Hodges,VIKINGS,TE,Virginia Tech
2017,6,18,202,Pita Taumoepenu,49ERS,LB,Utah
2017,6,19,203,De\'Angelo Henderson,BRONCOS,RB,Coastal Carolina
2017,6,20,204,Derrick Jones,JETS,DB,Mississippi
2017,6,21,205,Jeremiah Ledbetter,LIONS,DE,Arkansas
2017,6,22,206,Sam Rogers,RAMS,RB,Virginia Tech
2017,6,23,207,Brandon Wilson,BENGALS,RB,Houston
2017,6,24,208,Rudy Ford,CARDINALS,DB,Auburn
2017,6,25,209,Robert Davis,TEAM,WR,Georgia State
2017,6,26,210,Justin Senior,SEAHAWKS, T,Mississippi State
2017,6,28,211,Conor McDermott,PATRIOTS, T,UCLA
2017,6,29,212,Kofi Amichia,PACKERS, C,South Florida
2017,6,30,213,Colin Holba,STEELERS, C,Louisville
2017,6,31,214,Elijah Qualls,EAGLES,DT,Washington
2017,6,32,215,Brad Kaaya,LIONS,QB,Miami (FL)
2017,6,33,216,Marquez White,COWBOYS,DB,Florida State
2017,6,34,217,Corey Levin,TITANS, G,Tennessee-Chattanooga
2017,6,35,218,Leon McQuay ,CHIEFS,DB,USC
2017,7,1,219,Stacy Coley,VIKINGS,WR,Miami (FL)
2017,7,2,220,Ifeadi Odenigbo,VIKINGS,DE,Northwestern
2017,7,3,221,Shalom Luani,RAIDERS,DB,Washington State
2017,7,4,222,Jalen Myrick,JAGUARS,DB,Minnesota
2017,7,5,223,Stevie Tu\'ikolovatu,BUCCANEERS,DT,USC
2017,7,6,224,Zane Gonzalez,BROWNS, K,Arizona State
2017,7,7,225,Isaac Rochell,CHARGERS,DT,Notre Dame
2017,7,8,226,David Moore,SEAHAWKS,WR,East Central (OK)
2017,7,9,227,Josh Carraway,TITANS,LB,Texas Christian
2017,7,10,228,Joey Ivie,COWBOYS,DT,Florida
2017,7,11,229,Adrian Colbert,49ERS,DB,Miami (FL)
2017,7,12,230,Josh Harvey-Clemons,TEAM,DB,Louisville
2017,7,13,231,Jylan Ware,RAIDERS, T,Alabama State
2017,7,14,232,Elijah Lee,VIKINGS,LB,Kansas State
2017,7,15,233,Harrison Butker,PANTHERS, K,Georgia Tech
2017,7,16,234,Ejuan Price,RAMS,DE,Pittsburgh
2017,7,17,235,Joshua Holsey,TEAM,DB,Auburn
2017,7,18,236,Brad Seaton,TITANS, T,Villanova
2017,7,19,237,Isaiah Ford,DOLPHINS,WR,Virginia Tech
2017,7,20,238,Devante Mays,PACKERS,RB,Utah State
2017,7,21,239,Noah Brown,COWBOYS,WR,Ohio State
2017,7,22,240,Marquez Williams,JAGUARS,RB,Miami (OH)
2017,7,23,241,Khalfani Muhammad,TITANS,RB,California
2017,7,24,242,Elijah Hood,RAIDERS,RB,North Carolina
2017,7,25,243,Kyle Fuller,TEXANS, C,Baylor
2017,7,26,244,Treyvon Hester,RAIDERS,DT,Toledo
2017,7,27,245,Jack Tocho,VIKINGS,DB,North Carolina State
2017,7,28,246,Jordan Carrell,COWBOYS,DT,Colorado
2017,7,29,247,Malachi Dupre,PACKERS,WR,Louisiana State
2017,7,30,248,Keion Adams,STEELERS,LB,Western Michigan
2017,7,31,249,Chris Carson,SEAHAWKS,RB,Oklahoma State
2017,7,32,250,Pat O\'Connor,LIONS,DE,Eastern Michigan
2017,7,33,251,Mason Schreck,BENGALS,TE,Buffalo
2017,7,34,252,Matthew Dayes,BROWNS,RB,North Carolina State
2017,7,35,253,Chad Kelly,BRONCOS,QB,Mississippi
2018,1,1,1,Baker Mayfield,BROWNS,QB,Oklahoma
2018,1,2,2,Saquon Barkley,GIANTS,RB,Penn State
2018,1,3,3,Sam Darnold,JETS,QB,USC
2018,1,4,4,Denzel Ward,BROWNS,DB,Ohio State
2018,1,5,5,Bradley Chubb,BRONCOS,DE,North Carolina State
2018,1,6,6,Quenton Nelson,COLTS, G,Notre Dame
2018,1,7,7,Josh Allen,BILLS,QB,Wyoming
2018,1,8,8,Roquan Smith,BEARS,LB,Georgia
2018,1,9,9,Mike McGlinchey,49ERS, T,Notre Dame
2018,1,10,10,Josh Rosen,CARDINALS,QB,UCLA
2018,1,11,11,Minkah Fitzpatrick,DOLPHINS,DB,Alabama
2018,1,12,12,Vita Vea,BUCCANEERS,DT,Washington
2018,1,13,13,Da\'Ron Payne,TEAM,DT,Alabama
2018,1,14,14,Marcus Davenport,SAINTS,DE,Texas-San Antonio
2018,1,15,15,Kolton Miller,RAIDERS, T,UCLA
2018,1,16,16,Tremaine Edmunds,BILLS,LB,Virginia Tech
2018,1,17,17,Derwin James,CHARGERS,DB,Florida State
2018,1,18,18,Jaire Alexander,PACKERS,DB,Louisville
2018,1,19,19,Leighton Vander Esch,COWBOYS,LB,Boise State
2018,1,20,20,Frank Ragnow,LIONS, C,Arkansas
2018,1,21,21,Billy Price,BENGALS, C,Ohio State
2018,1,22,22,Rashaan Evans,TITANS,LB,Alabama
2018,1,23,23,Isaiah Wynn,PATRIOTS, G,Georgia
2018,1,24,24,D.J. Moore,PANTHERS,WR,Maryland
2018,1,25,25,Hayden Hurst,RAVENS,TE,South Carolina
2018,1,26,26,Calvin Ridley,FALCONS,WR,Alabama
2018,1,27,27,Rashaad Penny,SEAHAWKS,RB,San Diego State
2018,1,28,28,Terrell Edmunds,STEELERS,DB,Virginia Tech
2018,1,29,29,Taven Bryan,JAGUARS,DT,Florida
2018,1,30,30,Mike Hughes,VIKINGS,DB,Central Florida
2018,1,31,31,Sony Michel,PATRIOTS,RB,Georgia
2018,1,32,32,Lamar Jackson,RAVENS,QB,Louisville
2018,2,1,33,Austin Corbett,BROWNS, C,Nevada
2018,2,2,34,Will Hernandez,GIANTS, G,Texas-El Paso
2018,2,3,35,Nick Chubb,BROWNS,RB,Georgia
2018,2,4,36,Darius Leonard,COLTS,LB,South Carolina State
2018,2,5,37,Braden Smith,COLTS, G,Auburn
2018,2,6,38,Ronald Jones,BUCCANEERS,RB,USC
2018,2,7,39,James Daniels,BEARS, C,Iowa
2018,2,8,40,Courtland Sutton,BRONCOS,WR,Southern Methodist
2018,2,9,41,Harold Landry,TITANS,DE,Boston College
2018,2,10,42,Mike Gesicki,DOLPHINS,TE,Penn State
2018,2,11,43,Kerryon Johnson,LIONS,RB,Auburn
2018,2,12,44,Dante Pettis,49ERS,WR,Washington
2018,2,13,45,Joshua Jackson,PACKERS,DB,Iowa
2018,2,14,46,Breeland Speaks,CHIEFS,DT,Mississippi
2018,2,15,47,Christian Kirk,CARDINALS,WR,Texas A&M
2018,2,16,48,Uchenna Nwosu,CHARGERS,LB,USC
2018,2,17,49,Dallas Goedert,EAGLES,TE,South Dakota State
2018,2,18,50,Connor Williams,COWBOYS, T,Texas
2018,2,19,51,Anthony Miller,BEARS,WR,Memphis
2018,2,20,52,Kemoko Turay,COLTS,LB,Rutgers
2018,2,21,53,M.J. Stewart,BUCCANEERS,DB,North Carolina
2018,2,22,54,Jessie Bates,BENGALS,DB,Wake Forest
2018,2,23,55,Donte Jackson,PANTHERS,DB,Louisiana State
2018,2,24,56,Duke Dawson,PATRIOTS,DB,Florida
2018,2,25,57,P.J. Hall,RAIDERS,DT,Sam Houston State
2018,2,26,58,Isaiah Oliver,FALCONS,DB,Colorado
2018,2,27,59,Derrius Guice,TEAM,RB,Louisiana State
2018,2,28,60,James Washington,STEELERS,WR,Oklahoma State
2018,2,29,61,DJ Chark,JAGUARS,WR,Louisiana State
2018,2,30,62,Brian O\'Neill,VIKINGS, T,Pittsburgh
2018,2,31,63,Carlton Davis,BUCCANEERS,DB,Auburn
2018,2,32,64,Tyquan Lewis,COLTS,DE,Ohio State
2018,3,1,65,Brandon Parker,RAIDERS, T,North Carolina A&T
2018,3,2,66,Lorenzo Carter,GIANTS,DE,Georgia
2018,3,3,67,Chad Thomas,BROWNS,DE,Miami (FL)
2018,3,4,68,Justin Reid,TEXANS,DB,Stanford
2018,3,5,69,B.J. Hill,GIANTS,DT,North Carolina State
2018,3,6,70,Fred Warner,49ERS,LB,Brigham Young
2018,3,7,71,Royce Freeman,BRONCOS,RB,Oregon
2018,3,8,72,Nathan Shepherd,JETS,DT,Fort Hays State
2018,3,9,73,Jerome Baker,DOLPHINS,LB,Ohio State
2018,3,10,74,Geron Christian,TEAM, T,Louisville
2018,3,11,75,Derrick Nnadi,CHIEFS,DT,Florida State
2018,3,12,76,Mason Rudolph,STEELERS,QB,Oklahoma State
2018,3,13,77,Sam Hubbard,BENGALS,DE,Ohio State
2018,3,14,78,Malik Jefferson,BENGALS,LB,Texas
2018,3,15,79,Rasheem Green,SEAHAWKS,DE,USC
2018,3,16,80,Martinas Rankin,TEXANS, C,Mississippi State
2018,3,17,81,Michael Gallup,COWBOYS,WR,Colorado State
2018,3,18,82,Tracy Walker,LIONS,DB,Louisiana-Lafayette
2018,3,19,83,Orlando Brown,RAVENS, T,Oklahoma
2018,3,20,84,Justin Jones,CHARGERS,DT,North Carolina State
2018,3,21,85,Rashaan Gaulden,PANTHERS,DB,Tennessee
2018,3,22,86,Mark Andrews,RAVENS,TE,Oklahoma
2018,3,23,87,Arden Key,RAIDERS,DE,Louisiana State
2018,3,24,88,Oren Burks,PACKERS,LB,Vanderbilt
2018,3,25,89,Joseph Noteboom,RAMS, T,Texas Christian
2018,3,26,90,Deadrin Senat,FALCONS,DT,South Florida
2018,3,27,91,Tre\'Quan Smith,SAINTS,WR,Central Florida
2018,3,28,92,Chukwuma Okorafor,STEELERS, T,Western Michigan
2018,3,29,93,Ronnie Harrison,JAGUARS,DB,Alabama
2018,3,30,94,Alex Cappa,BUCCANEERS, T,Humboldt State
2018,3,31,95,Tarvarius Moore,49ERS,DB,Southern Mississippi
2018,3,32,96,Harrison Phillips,BILLS,DT,Stanford
2018,3,33,97,Mason Cole,CARDINALS, C,Michigan
2018,3,34,98,Jordan Akins,TEXANS,TE,Central Florida
2018,3,35,99,Isaac Yiadom,BRONCOS,DB,Boston College
2018,3,36,100,Dorian O\'Daniel,CHIEFS,LB,Clemson
2018,4,1,101,Ian Thomas,PANTHERS,TE,Indiana
2018,4,2,102,Jalyn Holmes,VIKINGS,DE,Ohio State
2018,4,3,103,Keke Coutee,TEXANS,WR,Texas Tech
2018,4,4,104,Nyheim Hines,COLTS,RB,North Carolina State
2018,4,5,105,Antonio Callaway,BROWNS,WR,Florida
2018,4,6,106,Josey Jewell,BRONCOS,LB,Iowa
2018,4,7,107,Chris Herndon,JETS,TE,Miami (FL)
2018,4,8,108,Kyle Lauletta,GIANTS,QB,Richmond
2018,4,9,109,Troy Apke,TEAM,DB,Penn State
2018,4,10,110,Nick Nelson,RAIDERS,DB,Wisconsin
2018,4,11,111,Brian Allen,RAMS, C,Michigan State
2018,4,12,112,Mark Walton,BENGALS,RB,Miami (FL)
2018,4,13,113,DaeSean Hamilton,BRONCOS,WR,Penn State
2018,4,14,114,Da\'Shawn Hand,LIONS,DE,Alabama
2018,4,15,115,Joel Iyiegbuniwe,BEARS,LB,Western Kentucky
2018,4,16,116,Dorance Armstrong,COWBOYS,DE,Kansas
2018,4,17,117,Jordan Whitehead,BUCCANEERS,DB,Pittsburgh
2018,4,18,118,Anthony Averett,RAVENS,DB,Alabama
2018,4,19,119,Kyzir White,CHARGERS,DB,West Virginia
2018,4,20,120,Will Dissly,SEAHAWKS,TE,Washington
2018,4,21,121,Taron Johnson,BILLS,DB,Weber State
2018,4,22,122,Kenny Young,RAVENS,LB,UCLA
2018,4,23,123,Durham Smythe,DOLPHINS,TE,Notre Dame
2018,4,24,124,Armani Watts,CHIEFS,DB,Texas A&M
2018,4,25,125,Avonte Maddox,EAGLES,DB,Pittsburgh
2018,4,26,126,Ito Smith,FALCONS,RB,Southern Mississippi
2018,4,27,127,Rick Leonard,SAINTS, T,Florida State
2018,4,28,128,Kentavius Street,49ERS,DT,North Carolina State
2018,4,29,129,Will Richardson,JAGUARS, T,North Carolina State
2018,4,30,130,Josh Sweat,EAGLES,DE,Florida State
2018,4,31,131,Kalen Ballage,DOLPHINS,RB,Arizona State
2018,4,32,132,Jaleel Scott,RAVENS,WR,New Mexico State
2018,4,33,133,J\'Mon Moore,PACKERS,WR,Missouri
2018,4,34,134,Chase Edmonds,CARDINALS,RB,Fordham
2018,4,35,135,John Franklin-Meyers,RAMS,DE,Stephen F. Austin
2018,4,36,136,Marquis Haynes,PANTHERS,LB,Mississippi
2018,4,37,137,Dalton Schultz,COWBOYS,TE,Stanford
2018,5,1,138,Cole Madison,PACKERS, T,Washington State
2018,5,2,139,R.J. McIntosh,GIANTS,DT,Miami (FL)
2018,5,3,140,Maurice Hurst,RAIDERS,DT,Michigan
2018,5,4,141,Shaquem Griffin,SEAHAWKS,LB,Central Florida
2018,5,5,142,D.J. Reed,49ERS,DB,Kansas State
2018,5,6,143,Ja\'Whaun Bentley,PATRIOTS,LB,Purdue
2018,5,7,144,Justin Watson,BUCCANEERS,WR,Pennsylvania
2018,5,8,145,Bilal Nichols,BEARS,DT,Delaware
2018,5,9,146,Tre Flowers,SEAHAWKS,DB,Oklahoma State
2018,5,10,147,Micah Kiser,RAMS,LB,Virginia
2018,5,11,148,Marcus Allen,STEELERS,DB,Penn State
2018,5,12,149,Michael Dickson,SEAHAWKS, P,Texas
2018,5,13,150,Genard Avery,BROWNS,LB,Memphis
2018,5,14,151,Davontae Harris,BENGALS,DB,Illinois State
2018,5,15,152,Dane Cruikshank,TITANS,DB,Arizona
2018,5,16,153,Tyrell Crosby,LIONS, T,Oregon
2018,5,17,154,Siran Neal,BILLS,DB,Jackson State
2018,5,18,155,Scott Quessenberry,CHARGERS, C,UCLA
2018,5,19,156,Troy Fumagalli,BRONCOS,TE,Wisconsin
2018,5,20,157,Tyler Conklin,VIKINGS,TE,Central Michigan
2018,5,21,158,Andrew Brown,BENGALS,DT,Virginia
2018,5,22,159,Daurice Fountain,COLTS,WR,Northern Iowa
2018,5,23,160,Ogbonnia Okoronkwo,RAMS,DE,Oklahoma
2018,5,24,161,Jermaine Carter,PANTHERS,LB,Maryland
2018,5,25,162,Jordan Lasley,RAVENS,WR,UCLA
2018,5,26,163,Tim Settle,TEAM,DT,Virginia Tech
2018,5,27,164,Natrell Jamerson,SAINTS,DB,Wisconsin
2018,5,28,165,Jaylen Samuels,STEELERS,TE,North Carolina State
2018,5,29,166,Wyatt Teller,BILLS, G,Virginia Tech
2018,5,30,167,Daniel Carlson,VIKINGS, K,Auburn
2018,5,31,168,Jamarco Jones,SEAHAWKS, T,Ohio State
2018,5,32,169,Jordan Wilkins,COLTS,RB,Mississippi
2018,5,33,170,Darius Phillips,BENGALS,DB,Western Michigan
2018,5,34,171,Mike White,COWBOYS,QB,Western Kentucky
2018,5,35,172,JK Scott,PACKERS, P,Alabama
2018,5,36,173,Johnny Townsend,RAIDERS, P,Florida
2018,5,37,174,Marquez Valdes-Scantling,PACKERS,WR,South Florida
2018,6,1,175,Damion Ratley,BROWNS,WR,Texas A&M
2018,6,2,176,John Kelly,RAMS,RB,Tennessee
2018,6,3,177,Duke Ejiofor,TEXANS,DE,Wake Forest
2018,6,4,178,Christian Sam,PATRIOTS,LB,Arizona State
2018,6,5,179,Parry Nickerson,JETS,DB,Tulane
2018,6,6,180,Foley Fatukasi,JETS,DT,Connecticut
2018,6,7,181,Kylie Fitts,BEARS,DE,Utah
2018,6,8,182,Chris Campbell,CARDINALS,DB,Penn State
2018,6,9,183,Sam Jones,BRONCOS, G,Arizona State
2018,6,10,184,Marcell Harris,49ERS,DB,Florida
2018,6,11,185,Deon Cain,COLTS,WR,Clemson
2018,6,12,186,Jacob Martin,SEAHAWKS,DE,Temple
2018,6,13,187,Ray-Ray McCloud,BILLS,WR,Clemson
2018,6,14,188,Simeon Thomas,BROWNS,DB,Louisiana-Lafayette
2018,6,15,189,Kamrin Moore,SAINTS,DB,Boston College
2018,6,16,190,DeShon Elliott,RAVENS,DB,Texas
2018,6,17,191,Dylan Cantrell,CHARGERS,WR,Texas Tech
2018,6,18,192,Jamil Demby,RAMS, G,Maine
2018,6,19,193,Chris Covington,COWBOYS,LB,Indiana
2018,6,20,194,Russell Gage,FALCONS,WR,Louisiana State
2018,6,21,195,Sebastian Joseph,RAMS,DT,Rutgers
2018,6,22,196,Tremon Smith,CHIEFS,DB,Central Arkansas
2018,6,23,197,Shaun Dion Hamilton,TEAM,LB,Alabama
2018,6,24,198,Kahlil McKenzie,CHIEFS,DT,Tennessee
2018,6,25,199,Luke Falk,TITANS,QB,Washington State
2018,6,26,200,Foyesade Oluokun,FALCONS,LB,Yale
2018,6,27,201,Boston Scott,SAINTS,RB,Louisiana Tech
2018,6,28,202,Jack Cichy,BUCCANEERS,LB,Wisconsin
2018,6,29,203,Tanner Lee,JAGUARS,QB,Nebraska
2018,6,30,204,Trenton Cannon,JETS,RB,Virginia State
2018,6,31,205,Trevon Young,RAMS,DE,Louisville
2018,6,32,206,Matt Pryor,EAGLES, T,Texas Christian
2018,6,33,207,Equanimeous St. Brown,PACKERS,WR,Notre Dame
2018,6,34,208,Cedrick Wilson,COWBOYS,WR,Boise State
2018,6,35,209,Cornell Armstrong,DOLPHINS,DB,Southern Mississippi
2018,6,36,210,Braxton Berrios,PATRIOTS,WR,Miami (FL)
2018,6,37,211,Jordan Thomas,TEXANS,TE,Mississippi State
2018,6,38,212,Greg Senat,RAVENS, T,Wagner
2018,6,39,213,Colby Gossett,VIKINGS, G,Appalachian State
2018,6,40,214,Peter Kalambayi,TEXANS,LB,Stanford
2018,6,41,215,Bradley Bozeman,RAVENS, C,Alabama
2018,6,42,216,Azeem Victor,RAIDERS,LB,Washington
2018,6,43,217,Keishawn Bierria,BRONCOS,LB,Washington
2018,6,44,218,Ade Aruna,VIKINGS,DE,Tulane
2018,7,1,219,Danny Etling,PATRIOTS,QB,Louisiana State
2018,7,2,220,Alex McGough,SEAHAWKS,QB,Florida International
2018,7,3,221,Matthew Adams,COLTS,LB,Houston
2018,7,4,222,Jermaine Kelly,TEXANS,DB,San Jose State
2018,7,5,223,Jullian Taylor,49ERS,DT,Temple
2018,7,6,224,Javon Wims,BEARS,WR,Georgia
2018,7,7,225,Devante Downs,VIKINGS,LB,California
2018,7,8,226,David Williams,BRONCOS,RB,Arkansas
2018,7,9,227,Quentin Poling,DOLPHINS,LB,Ohio
2018,7,10,228,Marcell Ateman,RAIDERS,WR,Oklahoma State
2018,7,11,229,Jason Sanders,DOLPHINS, K,New Mexico
2018,7,12,230,Leon Jacobs,JAGUARS,LB,Wisconsin
2018,7,13,231,Travin Howard,RAMS,LB,Texas Christian
2018,7,14,232,James Looney,PACKERS,DT,California
2018,7,15,233,Jordan Mailata,EAGLES, T,None
2018,7,16,234,Andre Smith,PANTHERS,LB,North Carolina
2018,7,17,235,Zaire Franklin,COLTS,LB,Syracuse
2018,7,18,236,Bo Scarbrough,COWBOYS,RB,Alabama
2018,7,19,237,Nick Bawdon,LIONS,RB,San Diego State
2018,7,20,238,Zach Sieler,RAVENS,DE,Ferris State
2018,7,21,239,Hunter Bradley,PACKERS, C,Mississippi State
2018,7,22,240,Richie James,49ERS,WR,Middle Tennessee
2018,7,23,241,Greg Stroman,TEAM,DB,Virginia Tech
2018,7,24,242,Kendrick Norton,PANTHERS,DT,Miami (FL)
2018,7,25,243,Keion Crossen,PATRIOTS,DB,Western Carolina
2018,7,26,244,Justin Lawler,RAMS,DE,Southern Methodist
2018,7,27,245,Will Clapp,SAINTS, C,Louisiana State
2018,7,28,246,Joshua Frazier,STEELERS,DT,Alabama
2018,7,29,247,Logan Cooke,JAGUARS, P,Mississippi State
2018,7,30,248,Kendall Donnerson,PACKERS,LB,Southeast Missouri State
2018,7,31,249,Logan Woodside,BENGALS,QB,Toledo
2018,7,32,250,Ryan Izzo,PATRIOTS,TE,Florida State
2018,7,33,251,Justin Jackson,CHARGERS,RB,Northwestern
2018,7,34,252,Rod Taylor,BENGALS, G,Mississippi
2018,7,35,253,Auden Tate,BENGALS,WR,Florida State
2018,7,36,254,Korey Cunningham,CARDINALS, T,Cincinnati
2018,7,37,255,Austin Proehl,BILLS,WR,North Carolina
2018,7,38,256,Trey Quinn,TEAM,WR,Southern Methodist
2019,1,1,1,Kyler Murray,CARDINALS,QB,Oklahoma
2019,1,2,2,Nick Bosa,49ERS,DE,Ohio State
2019,1,3,3,Quinnen Williams,JETS,DT,Alabama
2019,1,4,4,Clelin Ferrell,RAIDERS,DE,Clemson
2019,1,5,5,Devin White,BUCCANEERS,LB,Louisiana State
2019,1,6,6,Daniel Jones,GIANTS,QB,Duke
2019,1,7,7,Josh Allen,JAGUARS,LB,Kentucky
2019,1,8,8,T.J. Hockenson,LIONS,TE,Iowa
2019,1,9,9,Ed Oliver,BILLS,DT,Houston
2019,1,10,10,Devin Bush,STEELERS,LB,Michigan
2019,1,11,11,Jonah Williams,BENGALS, T,Alabama
2019,1,12,12,Rashan Gary,PACKERS,DE,Michigan
2019,1,13,13,Christian Wilkins,DOLPHINS,DT,Clemson
2019,1,14,14,Chris Lindstrom,FALCONS, G,Boston College
2019,1,15,15,Dwayne Haskins,TEAM,QB,Ohio State
2019,1,16,16,Brian Burns,PANTHERS,LB,Florida State
2019,1,17,17,Dexter Lawrence,GIANTS,DT,Clemson
2019,1,18,18,Garrett Bradbury,VIKINGS, C,North Carolina State
2019,1,19,19,Jeffery Simmons,TITANS,DT,Mississippi State
2019,1,20,20,Noah Fant,BRONCOS,TE,Iowa
2019,1,21,21,Darnell Savage,PACKERS,DB,Maryland
2019,1,22,22,Andre Dillard,EAGLES, T,Washington State
2019,1,23,23,Tytus Howard,TEXANS, T,Alabama State
2019,1,24,24,Josh Jacobs,RAIDERS,RB,Alabama
2019,1,25,25,Marquise Brown,RAVENS,WR,Oklahoma
2019,1,26,26,Montez Sweat,TEAM,DE,Mississippi State
2019,1,27,27,Johnathan Abram,RAIDERS,DB,Mississippi State
2019,1,28,28,Jerry Tillery,CHARGERS,DT,Notre Dame
2019,1,29,29,L.J. Collier,SEAHAWKS,DE,Texas Christian
2019,1,30,30,Deandre Baker,GIANTS,DB,Georgia
2019,1,31,31,Kaleb McGary,FALCONS, T,Washington
2019,1,32,32,N\'Keal Harry,PATRIOTS,WR,Arizona State
2019,2,1,33,Byron Murphy,CARDINALS,DB,Washington
2019,2,2,34,Rock Ya-Sin,COLTS,DB,Temple
2019,2,3,35,Jawaan Taylor,JAGUARS, T,Florida
2019,2,4,36,Deebo Samuel,49ERS,WR,South Carolina
2019,2,5,37,Greg Little,PANTHERS, T,Mississippi
2019,2,6,38,Cody Ford,BILLS, G,Oklahoma
2019,2,7,39,Sean Bunting,BUCCANEERS,DB,Central Michigan
2019,2,8,40,Trayvon Mullen,RAIDERS,DB,Clemson
2019,2,9,41,Dalton Risner,BRONCOS, G,Kansas State
2019,2,10,42,Drew Lock,BRONCOS,QB,Missouri
2019,2,11,43,Jahlani Tavai,LIONS,LB,Hawaii
2019,2,12,44,Elgton Jenkins,PACKERS, G,Mississippi State
2019,2,13,45,Joejuan Williams,PATRIOTS,DB,Vanderbilt
2019,2,14,46,Greedy Williams,BROWNS,DB,Louisiana State
2019,2,15,47,Marquise Blair,SEAHAWKS,DB,Utah
2019,2,16,48,Erik McCoy,SAINTS, C,Texas A&M
2019,2,17,49,Ben Banogu,COLTS,LB,Texas Christian
2019,2,18,50,Irv Smith,VIKINGS,TE,Alabama
2019,2,19,51,A.J. Brown,TITANS,WR,Mississippi
2019,2,20,52,Drew Sample,BENGALS,TE,Washington
2019,2,21,53,Miles Sanders,EAGLES,RB,Penn State
2019,2,22,54,Lonnie Johnson,TEXANS,DB,Kentucky
2019,2,23,55,Max Scharping,TEXANS, T,Northern Illinois
2019,2,24,56,Mecole Hardman,CHIEFS,WR,Georgia
2019,2,25,57,JJ Arcega-Whiteside,EAGLES,WR,Stanford
2019,2,26,58,Trysten Hill,COWBOYS,DT,Central Florida
2019,2,27,59,Parris Campbell,COLTS,WR,Ohio State
2019,2,28,60,Nasir Adderley,CHARGERS,DB,Delaware
2019,2,29,61,Taylor Rapp,RAMS,DB,Washington
2019,2,30,62,Andy Isabella,CARDINALS,WR,Massachusetts
2019,2,31,63,Juan Thornhill,CHIEFS,DB,Virginia
2019,2,32,64,D.K. Metcalf,SEAHAWKS,WR,Mississippi
2019,3,1,65,Zach Allen,CARDINALS,DE,Boston College
2019,3,2,66,Diontae Johnson,STEELERS,WR,Toledo
2019,3,3,67,Jalen Hurd,49ERS,WR,Baylor
2019,3,4,68,Jachai Polite,JETS,DE,Florida
2019,3,5,69,Josh Oliver,JAGUARS,TE,San Jose State
2019,3,6,70,Darrell Henderson,RAMS,RB,Memphis
2019,3,7,71,Dre\'Mont Jones,BRONCOS,DT,Ohio State
2019,3,8,72,Germaine Pratt,BENGALS,LB,North Carolina State
2019,3,9,73,David Montgomery,BEARS,RB,Iowa State
2019,3,10,74,Devin Singletary,BILLS,RB,Florida Atlantic
2019,3,11,75,Jace Sternberger,PACKERS,TE,Texas A&M
2019,3,12,76,Terry McLaurin,TEAM,WR,Ohio State
2019,3,13,77,Chase Winovich,PATRIOTS,LB,Michigan
2019,3,14,78,Michael Deiter,DOLPHINS, G,Wisconsin
2019,3,15,79,David Long,RAMS,DB,Michigan
2019,3,16,80,Sione Takitaki,BROWNS,LB,Brigham Young
2019,3,17,81,Will Harris,LIONS,DB,Boston College
2019,3,18,82,Nate Davis,TITANS, G,North Carolina-Charlotte
2019,3,19,83,Justin Layne,STEELERS,DB,Michigan State
2019,3,20,84,Khalen Saunders,CHIEFS,DT,Western Illinois
2019,3,21,85,Jaylon Ferguson,RAVENS,DE,Louisiana Tech
2019,3,22,86,Kahale Warring,TEXANS,TE,San Diego State
2019,3,23,87,Damien Harris,PATRIOTS,RB,Alabama
2019,3,24,88,Cody Barton,SEAHAWKS,LB,Utah
2019,3,25,89,Bobby Okereke,COLTS,LB,Stanford
2019,3,26,90,Connor McGovern,COWBOYS, G,Penn State
2019,3,27,91,Trey Pipkins,CHARGERS, T,Sioux Falls
2019,3,28,92,Chuma Edoga,JETS, T,USC
2019,3,29,93,Miles Boykin,RAVENS,WR,Notre Dame
2019,3,30,94,Jamel Dean,BUCCANEERS,DB,Auburn
2019,3,31,95,Oshane Ximines,GIANTS,LB,Dominion
2019,3,32,96,Dawson Knox,BILLS,TE,Mississippi
2019,3,33,97,Bobby Evans,RAMS, T,Oklahoma
2019,3,34,98,Quincy Williams,JAGUARS,LB,Murray State
2019,3,35,99,Mike Edwards,BUCCANEERS,DB,Kentucky
2019,3,36,100,Will Grier,PANTHERS,QB,West Virginia
2019,3,37,101,Yodny Cajuste,PATRIOTS, T,West Virginia
2019,3,38,102,Alexander Mattison,VIKINGS,RB,Boise State
2019,4,1,103,Hakeem Butler,CARDINALS,WR,Iowa State
2019,4,2,104,Ryan Finley,BENGALS,QB,North Carolina State
2019,4,3,105,Chauncey Gardner-Johnson,SAINTS,DB,Florida
2019,4,4,106,Maxx Crosby,RAIDERS,DE,Eastern Michigan
2019,4,5,107,Anthony Nelson,BUCCANEERS,DE,Iowa
2019,4,6,108,Julian Love,GIANTS,DB,Notre Dame
2019,4,7,109,Khari Willis,COLTS,DB,Michigan State
2019,4,8,110,Mitch Wishnowsky,49ERS, P,Utah
2019,4,9,111,Kendall Sheffield,FALCONS,DB,Ohio State
2019,4,10,112,Bryce Love,TEAM,RB,Stanford
2019,4,11,113,Justice Hill,RAVENS,RB,Oklahoma State
2019,4,12,114,Dru Samia,VIKINGS, G,Oklahoma
2019,4,13,115,Christian Miller,PANTHERS,LB,Alabama
2019,4,14,116,Amani Hooker,TITANS,DB,Iowa
2019,4,15,117,Austin Bryant,LIONS,DE,Clemson
2019,4,16,118,Hjalte Froholdt,PATRIOTS, G,Arkansas
2019,4,17,119,Sheldrick Redwine,BROWNS,DB,Miami (FL)
2019,4,18,120,Gary Jennings ,SEAHAWKS,WR,West Virginia
2019,4,19,121,Trevon Wesco,JETS,TE,West Virginia
2019,4,20,122,Benny Snell ,STEELERS,RB,Kentucky
2019,4,21,123,Ben Powers,RAVENS, G,Oklahoma
2019,4,22,124,Phil Haynes,SEAHAWKS, G,Wake Forest
2019,4,23,125,Renell Wren,BENGALS,DT,Arizona State
2019,4,24,126,Riley Ridley,BEARS,WR,Georgia
2019,4,25,127,Iman Marshall,RAVENS,DB,USC
2019,4,26,128,Tony Pollard,COWBOYS,RB,Memphis
2019,4,27,129,Isaiah Johnson,RAIDERS,DB,Houston
2019,4,28,130,Drue Tranquill,CHARGERS,LB,Notre Dame
2019,4,29,131,Wes Martin,TEAM, G,Indiana
2019,4,30,132,Ugochukwu Amadi,SEAHAWKS,DB,Oregon
2019,4,31,133,Jarrett Stidham,PATRIOTS,QB,Auburn
2019,4,32,134,Greg Gaines,RAMS,DT,Washington
2019,4,33,135,John Cominsky,FALCONS,DE,Charleston
2019,4,34,136,Michael Jordan,BENGALS, C,Ohio State
2019,4,35,137,Foster Moreau,RAIDERS,TE,Louisiana State
2019,4,36,138,Shareef Miller,EAGLES,DE,Penn State
2019,5,1,139,Deionte Thompson,CARDINALS,DB,Alabama
2019,5,2,140,Ryquell Armstead,JAGUARS,RB,Temple
2019,5,3,141,Zach Gentry,STEELERS,TE,Michigan
2019,5,4,142,Ben Burr-Kirven,SEAHAWKS,LB,Washington
2019,5,5,143,Ryan Connelly,GIANTS,LB,Wisconsin
2019,5,6,144,Marvell Tell,COLTS,DB,USC
2019,5,7,145,Matt Gay,BUCCANEERS, K,Utah
2019,5,8,146,Amani Oruwariye,LIONS,DB,Penn State
2019,5,9,147,Vosean Joseph,BILLS,LB,Florida
2019,5,10,148,Dre Greenlaw,49ERS,LB,Arkansas
2019,5,11,149,Hunter Renfrow,RAIDERS,WR,Clemson
2019,5,12,150,Kingsley Keke,PACKERS,DT,Texas A&M
2019,5,13,151,Andrew Van Ginkel,DOLPHINS,LB,Wisconsin
2019,5,14,152,Qadree Ollison,FALCONS,RB,Pittsburgh
2019,5,15,153,Ross Pierschbacher,TEAM, C,Alabama
2019,5,16,154,Jordan Scarlett,PANTHERS,RB,Florida
2019,5,17,155,Mack Wilson,BROWNS,LB,Alabama
2019,5,18,156,Justin Hollins,BRONCOS,LB,Oregon
2019,5,19,157,Blake Cashman,JETS,LB,Minnesota
2019,5,20,158,Michael Jackson,COWBOYS,DB,Miami (FL)
2019,5,21,159,Byron Cowart,PATRIOTS,DT,Maryland
2019,5,22,160,Daylon Mack,RAVENS,DT,Texas A&M
2019,5,23,161,Charles Omenihu,TEXANS,DE,Texas
2019,5,24,162,Cameron Smith,VIKINGS,LB,USC
2019,5,25,163,Jake Bailey,PATRIOTS, P,Stanford
2019,5,26,164,EJ Speed,COLTS,WR,Tarleton State
2019,5,27,165,Joe Jackson,COWBOYS,DE,Miami (FL)
2019,5,28,166,Easton Stick,CHARGERS,QB,North Dakota State
2019,5,29,167,Clayton Thorson,EAGLES,QB,Northwestern
2019,5,30,168,D\'Andre Walker,TITANS,LB,Georgia
2019,5,31,169,David Edwards,RAMS, T,Wisconsin
2019,5,32,170,Austin Seibert,BROWNS, K,Oklahoma
2019,5,33,171,Darius Slayton,GIANTS,WR,Auburn
2019,5,34,172,Jordan Miller,FALCONS,DB,Washington
2019,5,35,173,Cole Holcomb,TEAM,LB,North Carolina
2019,6,1,174,KeeSean Johnson,CARDINALS,WR,Fresno State
2019,6,2,175,Sutton Smith,STEELERS,LB,Northern Illinois
2019,6,3,176,Kaden Smith,49ERS,TE,Stanford
2019,6,4,177,Saquan Hampton,SAINTS,DB,Rutgers
2019,6,5,178,Gardner Minshew,JAGUARS,QB,Washington State
2019,6,6,179,Lamont Gaillard,CARDINALS, C,Georgia
2019,6,7,180,Corey Ballentine,GIANTS,DB,Washburn
2019,6,8,181,Jaquan Johnson,BILLS,DB,Miami (FL)
2019,6,9,182,Trayveon Williams,BENGALS,RB,Texas A&M
2019,6,10,183,Justin Skule,49ERS, T,Vanderbilt
2019,6,11,184,Travis Fulgham,LIONS,WR,Dominion
2019,6,12,185,Ka\'dar Hollman,PACKERS,DB,Toledo
2019,6,13,186,Ty Johnson,LIONS,RB,Maryland
2019,6,14,187,Juwann Winfree,BRONCOS,WR,Colorado
2019,6,15,188,David Long ,TITANS,LB,West Virginia
2019,6,16,189,Drew Forbes,BROWNS, T,Southeast Missouri State
2019,6,17,190,Armon Watts,VIKINGS,DT,Arkansas
2019,6,18,191,Marcus Epps,VIKINGS,DB,Wyoming
2019,6,19,192,Isaiah Buggs,STEELERS,DT,Alabama
2019,6,20,193,Olisaemeka Udoh,VIKINGS, T,Elon
2019,6,21,194,Dexter Williams,PACKERS,RB,Notre Dame
2019,6,22,195,Xavier Crawford,TEXANS,DB,Central Michigan
2019,6,23,196,Blessuan Austin,JETS,DB,Rutgers
2019,6,24,197,Trace McSorley,RAVENS,QB,Penn State
2019,6,25,198,Tim Harris,49ERS,DB,Virginia
2019,6,26,199,Gerri Green,COLTS,LB,Mississippi State
2019,6,27,200,Emeke Egbule,CHARGERS,LB,Houston
2019,6,28,201,Rashad Fenton,CHIEFS,DB,South Carolina
2019,6,29,202,Isaiah Prince,DOLPHINS, T,Ohio State
2019,6,30,203,Marcus Green,FALCONS,WR,Louisiana-Monroe
2019,6,31,204,Travis Homer,SEAHAWKS,RB,Miami (FL)
2019,6,32,205,Duke Shelley,BEARS,DB,Kansas State
2019,6,33,206,Kelvin Harmon,TEAM,WR,North Carolina State
2019,6,34,207,Ulysees Gilbert ,STEELERS,LB,Akron
2019,6,35,208,Scotty Miller,BUCCANEERS,WR,Bowling Green
2019,6,36,209,Demarcus Christmas,SEAHAWKS,DT,Florida State
2019,6,37,210,Deshaun Davis,BENGALS,LB,Auburn
2019,6,38,211,Rodney Anderson,BENGALS,RB,Oklahoma
2019,6,39,212,Dennis Daley,PANTHERS, T,South Carolina
2019,6,40,213,Donovan Wilson,COWBOYS,DB,Texas A&M
2019,6,41,214,Darwin Thompson,CHIEFS,RB,Utah State
2019,7,1,215,Terry Beckner ,BUCCANEERS,DT,Missouri
2019,7,2,216,Nick Allegretti,CHIEFS, C,Illinois
2019,7,3,217,Kris Boyd,VIKINGS,DB,Texas
2019,7,4,218,Mike Weber,COWBOYS,RB,Ohio State
2019,7,5,219,Derwin Gray,STEELERS, G,Maryland
2019,7,6,220,Cullen Gillaspia,TEXANS,RB,Texas A&M
2019,7,7,221,Donnie Lewis ,BROWNS,DB,Tulane
2019,7,8,222,Kerrith Whyte ,BEARS,RB,Florida Atlantic
2019,7,9,223,Jordan Brown,BENGALS,DB,South Dakota State
2019,7,10,224,Isaac Nauta,LIONS,TE,Georgia
2019,7,11,225,Darryl Johnson ,BILLS,DE,North Carolina A&T
2019,7,12,226,Ty Summers,PACKERS,LB,Texas Christian
2019,7,13,227,Jimmy Moreland,TEAM,DB,James Madison
2019,7,14,228,Tommy Sweeney,BILLS,TE,Boston College
2019,7,15,229,PJ Johnson,LIONS,DT,Arizona
2019,7,16,230,Quinton Bell,RAIDERS,DE,Prairie View A&M
2019,7,17,231,Alize Mack,SAINTS,TE,Notre Dame
2019,7,18,232,George Asafo-Adjei,GIANTS, T,Kentucky
2019,7,19,233,Chandler Cox,DOLPHINS,RB,Auburn
2019,7,20,234,Myles Gaskin,DOLPHINS,RB,Washington
2019,7,21,235,Dontavius Russell,JAGUARS,DT,Auburn
2019,7,22,236,John Ursua,SEAHAWKS,WR,Hawaii
2019,7,23,237,Terry Godwin,PANTHERS,WR,Georgia
2019,7,24,238,Stephen Denmark,BEARS,DB,Valdosta State
2019,7,25,239,Dillon Mitchell,VIKINGS,WR,Oregon
2019,7,26,240,Jackson Barton,COLTS, T,Utah
2019,7,27,241,Jalen Jelks,COWBOYS,DE,Oregon
2019,7,28,242,Cortez Broughton,CHARGERS,DT,Cincinnati
2019,7,29,243,Nick Scott,RAMS,DB,Penn State
2019,7,30,244,Kaden Elliss,SAINTS,LB,Idaho
2019,7,31,245,Chris Slayton,GIANTS,DT,Syracuse
2019,7,32,246,Javon Patterson,COLTS, G,Mississippi
2019,7,33,247,Olabisi Johnson,VIKINGS,WR,Colorado State
2019,7,34,248,Joshua Miles,CARDINALS, G,Morgan State
2019,7,35,249,Michael Dogbe,CARDINALS,DT,Temple
2019,7,36,250,Austin Cutting,VIKINGS, C,Air Force
2019,7,37,251,Dakota Allen,RAMS,LB,Texas Tech
2019,7,38,252,Ken Webster,PATRIOTS,DB,Mississippi
2019,7,39,253,Jordan Brailford,TEAM,LB,Oklahoma State
2019,7,40,254,Caleb Wilson,CARDINALS,TE,UCLA
2020,1,1,1,Joe Burrow,BENGALS,QB,Louisiana State
2020,1,2,2,Chase Young,TEAM,DE,Ohio State
2020,1,3,3,Jeff Okudah,LIONS,DB,Ohio State
2020,1,4,4,Andrew Thomas,GIANTS, T,Georgia
2020,1,5,5,Tua Tagovailoa,DOLPHINS,QB,Alabama
2020,1,6,6,Justin Herbert,CHARGERS,QB,Oregon
2020,1,7,7,Derrick Brown,PANTHERS,DT,Auburn
2020,1,8,8,Isaiah Simmons,CARDINALS,LB,Clemson
2020,1,9,9,CJ Henderson,JAGUARS,DB,Florida
2020,1,10,10,Jedrick Wills,BROWNS, T,Alabama
2020,1,11,11,Mekhi Becton,JETS, T,Louisville
2020,1,12,12,Henry Ruggs,RAIDERS,WR,Alabama
2020,1,13,13,Tristan Wirfs,BUCCANEERS, T,Iowa
2020,1,14,14,Javon Kinlaw,49ERS,DT,South Carolina
2020,1,15,15,Jerry Jeudy,BRONCOS,WR,Alabama
2020,1,16,16,A.J. Terrell,FALCONS,DB,Clemson
2020,1,17,17,CeeDee Lamb,COWBOYS,WR,Oklahoma
2020,1,18,18,Austin Jackson,DOLPHINS, T,USC
2020,1,19,19,Damon Arnette,RAIDERS,DB,Ohio State
2020,1,20,20,K\'Lavon Chaisson,JAGUARS,DE,Louisiana State
2020,1,21,21,Jalen Reagor,EAGLES,WR,Texas Christian
2020,1,22,22,Justin Jefferson,VIKINGS,WR,Louisiana State
2020,1,23,23,Kenneth Murray,CHARGERS,LB,Oklahoma
2020,1,24,24,Cesar Ruiz,SAINTS, C,Michigan
2020,1,25,25,Brandon Aiyuk,49ERS,WR,Arizona State
2020,1,26,26,Jordan Love,PACKERS,QB,Utah State
2020,1,27,27,Jordyn Brooks,SEAHAWKS,LB,Texas Tech
2020,1,28,28,Patrick Queen,RAVENS,LB,Louisiana State
2020,1,29,29,Isaiah Wilson,TITANS, T,Georgia
2020,1,30,30,Noah Igbinoghene,DOLPHINS,DB,Auburn
2020,1,31,31,Jeff Gladney,VIKINGS,DB,Texas Christian
2020,1,32,32,Clyde Edwards-Helaire,CHIEFS,RB,Louisiana State
2020,2,1,33,Tee Higgins,BENGALS,WR,Clemson
2020,2,2,34,Michael Pittman,COLTS,WR,USC
2020,2,3,35,D\'Andre Swift,LIONS,RB,Georgia
2020,2,4,36,Xavier McKinney,GIANTS,DB,Alabama
2020,2,5,37,Kyle Dugger,PATRIOTS,DB,Lenoir-Rhyne
2020,2,6,38,Yetur Gross-Matos,PANTHERS,DE,Penn State
2020,2,7,39,Robert Hunt,DOLPHINS, G,Louisiana-Lafayette
2020,2,8,40,Ross Blacklock,TEXANS,DT,Texas Christian
2020,2,9,41,Jonathan Taylor,COLTS,RB,Wisconsin
2020,2,10,42,Laviska Shenault,JAGUARS,WR,Colorado
2020,2,11,43,Cole Kmet,BEARS,TE,Notre Dame
2020,2,12,44,Grant Delpit,BROWNS,DB,Louisiana State
2020,2,13,45,Antoine Winfield,BUCCANEERS,DB,Minnesota
2020,2,14,46,KJ Hamler,BRONCOS,WR,Penn State
2020,2,15,47,Marlon Davidson,FALCONS,DE,Auburn
2020,2,16,48,Darrell Taylor,SEAHAWKS,DE,Tennessee
2020,2,17,49,Chase Claypool,STEELERS,WR,Notre Dame
2020,2,18,50,Jaylon Johnson,BEARS,DB,Utah
2020,2,19,51,Trevon Diggs,COWBOYS,DB,Alabama
2020,2,20,52,Cam Akers,RAMS,RB,Florida State
2020,2,21,53,Jalen Hurts,EAGLES,QB,Oklahoma
2020,2,22,54,AJ Epenesa,BILLS,DE,Iowa
2020,2,23,55,J.K. Dobbins,RAVENS,RB,Ohio State
2020,2,24,56,Raekwon Davis,DOLPHINS,DT,Alabama
2020,2,25,57,Van Jefferson,RAMS,WR,Florida
2020,2,26,58,Ezra Cleveland,VIKINGS, T,Boise State
2020,2,27,59,Denzel Mims,JETS,WR,Baylor
2020,2,28,60,Josh Uche,PATRIOTS,LB,Michigan
2020,2,29,61,Kristian Fulton,TITANS,DB,Louisiana State
2020,2,30,62,AJ Dillon,PACKERS,RB,Boston College
2020,2,31,63,Willie Gay,CHIEFS,LB,Mississippi State
2020,2,32,64,Jeremy Chinn,PANTHERS,DB,Southern Illinois
2020,3,1,65,Logan Wilson,BENGALS,LB,Wyoming
2020,3,2,66,Antonio Gibson,TEAM,WR,Memphis
2020,3,3,67,Julian Okwara,LIONS,DE,Notre Dame
2020,3,4,68,Ashtyn Davis,JETS,DB,California
2020,3,5,69,Damien Lewis,SEAHAWKS, G,Louisiana State
2020,3,6,70,Brandon Jones,DOLPHINS,DB,Texas
2020,3,7,71,Justin Madubuike,RAVENS,DT,Texas A&M
2020,3,8,72,Josh Jones,CARDINALS, T,Houston
2020,3,9,73,DaVon Hamilton,JAGUARS,DT,Ohio State
2020,3,10,74,Zack Baun,SAINTS,LB,Wisconsin
2020,3,11,75,Jonah Jackson,LIONS, G,Ohio State
2020,3,12,76,Ke\'Shawn Vaughn,BUCCANEERS,RB,Vanderbilt
2020,3,13,77,Michael Ojemudia,BRONCOS,DB,Iowa
2020,3,14,78,Matt Hennessy,FALCONS, C,Temple
2020,3,15,79,Jabari Zuniga,JETS,DE,Florida
2020,3,16,80,Lynn Bowden,RAIDERS,WR,Kentucky
2020,3,17,81,Bryan Edwards,RAIDERS,WR,South Carolina
2020,3,18,82,Neville Gallimore,COWBOYS,DT,Oklahoma
2020,3,19,83,Lloyd Cushenberry,BRONCOS, C,Louisiana State
2020,3,20,84,Terrell Lewis,RAMS,DE,Alabama
2020,3,21,85,Julian Blackmon,COLTS,DB,Utah
2020,3,22,86,Zack Moss,BILLS,RB,Utah
2020,3,23,87,Anfernee Jennings,PATRIOTS,DE,Alabama
2020,3,24,88,Jordan Elliott,BROWNS,DT,Missouri
2020,3,25,89,Cameron Dantzler,VIKINGS,DB,Mississippi State
2020,3,26,90,Jonathan Greenard,TEXANS,DE,Florida
2020,3,27,91,Devin Asiasi,PATRIOTS,TE,UCLA
2020,3,28,92,Devin Duvernay,RAVENS,WR,Texas
2020,3,29,93,Darrynton Evans,TITANS,RB,Appalachian State
2020,3,30,94,Josiah Deguara,PACKERS,TE,Cincinnati
2020,3,31,95,McTelvin Agim,BRONCOS,DT,Arkansas
2020,3,32,96,Lucas Niang,CHIEFS, T,Texas Christian
2020,3,33,97,Jacob Phillips,BROWNS,LB,Louisiana State
2020,3,34,98,Malik Harrison,RAVENS,LB,Ohio State
2020,3,35,99,Matt Peart,GIANTS, T,Connecticut
2020,3,36,100,Tanner Muse,RAIDERS,DB,Clemson
2020,3,37,101,Dalton Keene,PATRIOTS,TE,Virginia Tech
2020,3,38,102,Alex Highsmith,STEELERS,DE,Charlotte
2020,3,39,103,Davion Taylor,EAGLES,LB,Colorado
2020,3,40,104,Terrell Burgess,RAMS,DB,Utah
2020,3,41,105,Adam Trautman,SAINTS,TE,Dayton
2020,3,42,106,Tyre Phillips,RAVENS, G,Mississippi State
2020,4,1,107,Akeem Davis-Gaither,BENGALS,LB,Appalachian State
2020,4,2,108,Saahdiq Charles,TEAM, T,Louisiana State
2020,4,3,109,John Simpson,RAIDERS, G,Clemson
2020,4,4,110,Darnay Holmes,GIANTS,DB,UCLA
2020,4,5,111,Solomon Kindley,DOLPHINS, G,Georgia
2020,4,6,112,Joshua Kelley,CHARGERS,RB,UCLA
2020,4,7,113,Troy Pride,PANTHERS,DB,Notre Dame
2020,4,8,114,Leki Fotu,CARDINALS,DT,Utah
2020,4,9,115,Harrison Bryant,BROWNS,TE,Florida Atlantic
2020,4,10,116,Ben Bartch,JAGUARS, T,St. John\'s (MN)
2020,4,11,117,D.J. Wonnum,VIKINGS,DE,South Carolina
2020,4,12,118,Albert Okwuegbunam,BRONCOS,TE,Missouri
2020,4,13,119,Mykal Walker,FALCONS,LB,Fresno State
2020,4,14,120,Lamical Perine,JETS,RB,Florida
2020,4,15,121,Logan Stenberg,LIONS, G,Kentucky
2020,4,16,122,Jacob Eason,COLTS,QB,Washington
2020,4,17,123,Reggie Robinson,COWBOYS,DB,Tulsa
2020,4,18,124,Anthony McFarland ,STEELERS,RB,Maryland
2020,4,19,125,James Morgan,JETS,QB,Florida International
2020,4,20,126,Charlie Heck,TEXANS, T,North Carolina
2020,4,21,127,K\'Von Wallace,EAGLES,DB,Clemson
2020,4,22,128,Gabriel Davis,BILLS,WR,Central Florida
2020,4,23,129,Cameron Clark,JETS, G,Charlotte
2020,4,24,130,James Lynch,VIKINGS,DE,Baylor
2020,4,25,131,Rashard Lawrence,CARDINALS,DT,Louisiana State
2020,4,26,132,Troy Dye,VIKINGS,LB,Oregon
2020,4,27,133,Colby Parkinson,SEAHAWKS,TE,Stanford
2020,4,28,134,Jaylinn Hawkins,FALCONS,DB,California
2020,4,29,135,Kevin Dotson,STEELERS, G,Louisiana-Lafayette
2020,4,30,136,Brycen Hopkins,RAMS,TE,Purdue
2020,4,31,137,Josiah Scott,JAGUARS,DB,Michigan State
2020,4,32,138,L\'Jarius Sneed,CHIEFS,DB,Louisiana Tech
2020,4,33,139,Amik Robertson,RAIDERS,DB,Louisiana Tech
2020,4,34,140,Shaquille Quarterman,JAGUARS,LB,Miami (FL)
2020,4,35,141,John Reid,TEXANS,DB,Penn State
2020,4,36,142,Antonio Gandy-Golden,TEAM,WR,Liberty
2020,4,37,143,Ben Bredeson,RAVENS, G,Michigan
2020,4,38,144,DeeJay Dallas,SEAHAWKS,RB,Miami (FL)
2020,4,39,145,Jack Driscoll,EAGLES, T,Auburn
2020,4,40,146,Tyler Biadasz,COWBOYS, C,Wisconsin
2020,5,1,147,Khalid Kareem,BENGALS,DE,Notre Dame
2020,5,2,148,Alton Robinson,SEAHAWKS,DE,Syracuse
2020,5,3,149,Danny Pinter,COLTS, G,Ball State
2020,5,4,150,Shane Lemieux,GIANTS, G,Oregon
2020,5,5,151,Joe Reed,CHARGERS,WR,Virginia
2020,5,6,152,Kenny Robinson,PANTHERS,DB,West Virginia
2020,5,7,153,Colton McKivitz,49ERS, T,West Virginia
2020,5,8,154,Jason Strowbridge,DOLPHINS,DE,North Carolina
2020,5,9,155,Trevis Gipson,BEARS,LB,Tulsa
2020,5,10,156,Keith Ismael,TEAM, C,San Diego State
2020,5,11,157,Daniel Thomas,JAGUARS,DB,Auburn
2020,5,12,158,Bryce Hall,JETS,DB,Virginia
2020,5,13,159,Justin Rohrwasser,PATRIOTS, K,Marshall
2020,5,14,160,Nick Harris,BROWNS, C,Washington
2020,5,15,161,Tyler Johnson,BUCCANEERS,WR,Minnesota
2020,5,16,162,Khaleke Hudson,TEAM,LB,Michigan
2020,5,17,163,Kindle Vildor,BEARS,DB,Georgia Southern
2020,5,18,164,Curtis Weaver,DOLPHINS,DE,Boise State
2020,5,19,165,Collin Johnson,JAGUARS,WR,Texas
2020,5,20,166,Quintez Cephus,LIONS,WR,Wisconsin
2020,5,21,167,Jake Fromm,BILLS,QB,Georgia
2020,5,22,168,John Hightower,EAGLES,WR,Boise State
2020,5,23,169,Harrison Hand,VIKINGS,DB,Temple
2020,5,24,170,Broderick Washington,RAVENS,DT,Texas Tech
2020,5,25,171,Isaiah Coulter,TEXANS,WR,Rhode Island
2020,5,26,172,Jason Huntley,LIONS,RB,New Mexico State
2020,5,27,173,Darnell Mooney,BEARS,WR,Tulane
2020,5,28,174,Larrell Murchison,TITANS,DT,North Carolina State
2020,5,29,175,Kamal Martin,PACKERS,LB,Minnesota
2020,5,30,176,K.J. Osborn,VIKINGS,WR,Miami (FL)
2020,5,31,177,Michael Danna,CHIEFS,DE,Michigan
2020,5,32,178,Justin Strnad,BRONCOS,LB,Wake Forest
2020,5,33,179,Bradlee Anae,COWBOYS,DE,Utah
2020,6,1,180,Hakeem Adeniji,BENGALS, T,Kansas
2020,6,2,181,Netane Muti,BRONCOS, G,Fresno State
2020,6,3,182,Michael Onwenu,PATRIOTS, G,Michigan
2020,6,4,183,Cam Brown,GIANTS,LB,Penn State
2020,6,5,184,Bravvion Roy,PANTHERS,DT,Baylor
2020,6,6,185,Blake Ferguson,DOLPHINS, C,Louisiana State
2020,6,7,186,Alohi Gilman,CHARGERS,DB,Notre Dame
2020,6,8,187,Donovan Peoples-Jones,BROWNS,WR,Michigan
2020,6,9,188,Tyler Bass,BILLS, K,Georgia Southern
2020,6,10,189,Jake Luton,JAGUARS,QB,Oregon State
2020,6,11,190,Charlie Woerner,49ERS,TE,Georgia
2020,6,12,191,Braden Mann,JETS, P,Texas A&M
2020,6,13,192,Jon Runyan,PACKERS, G,Michigan
2020,6,14,193,Robert Windsor,COLTS,DT,Penn State
2020,6,15,194,Khalil Davis,BUCCANEERS,DT,Nebraska
2020,6,16,195,Justin Herron,PATRIOTS, T,Wake Forest
2020,6,17,196,Shaun Bradley,EAGLES,LB,Temple
2020,6,18,197,John Penisini,LIONS,DT,Utah
2020,6,19,198,Antoine Brooks,STEELERS,DB,Maryland
2020,6,20,199,Jordan Fuller,RAMS,DB,Ohio State
2020,6,21,200,Quez Watkins,EAGLES,WR,Southern Mississippi
2020,6,22,201,James Proche,RAVENS,WR,Southern Methodist
2020,6,23,202,Evan Weaver,CARDINALS,LB,California
2020,6,24,203,Blake Brandel,VIKINGS, T,Oregon State
2020,6,25,204,Cassh Maluia,PATRIOTS,LB,Wyoming
2020,6,26,205,Josh Metellus,VIKINGS,DB,Michigan
2020,6,27,206,Tyler Davis,JAGUARS,TE,Georgia Tech
2020,6,28,207,Isaiah Hodgins,BILLS,WR,Oregon State
2020,6,29,208,Jake Hanson,PACKERS, C,Oregon
2020,6,30,209,Simon Stepaniak,PACKERS, T,Indiana
2020,6,31,210,Prince Tega Wanogho,EAGLES, T,Auburn
2020,6,32,211,Isaiah Rodgers,COLTS,DB,Massachusetts
2020,6,33,212,Dezmon Patmon,COLTS,WR,Washington State
2020,6,34,213,Jordan Glasgow,COLTS,LB,Michigan
2020,6,35,214,Freddie Swain,SEAHAWKS,WR,Florida
2020,7,1,215,Markus Bailey,BENGALS,LB,Purdue
2020,7,2,216,Kamren Curl,TEAM,DB,Arkansas
2020,7,3,217,Jauan Jennings,49ERS,WR,Tennessee
2020,7,4,218,Carter Coughlin,GIANTS,LB,Minnesota
2020,7,5,219,Geno Stone,RAVENS,DB,Iowa
2020,7,6,220,K.J. Hill,CHARGERS,WR,Ohio State
2020,7,7,221,Stantley Thomas-Oliver,PANTHERS,DB,Florida International
2020,7,8,222,Eno Benjamin,CARDINALS,RB,Arizona State
2020,7,9,223,Chris Claybrooks,JAGUARS,DB,Memphis
2020,7,10,224,Cole McDonald,TITANS,QB,Hawaii
2020,7,11,225,Kenny Willekes,VIKINGS,DE,Michigan State
2020,7,12,226,Arlington Hambright,BEARS, T,Colorado
2020,7,13,227,Lachavious Simmons,BEARS, G,Tennessee State
2020,7,14,228,Sterling Hofrichter,FALCONS, P,Syracuse
2020,7,15,229,James Smith-Williams,TEAM,DE,North Carolina State
2020,7,16,230,Dustin Woodard,PATRIOTS, C,Memphis
2020,7,17,231,Ben DiNucci,COWBOYS,QB,James Madison
2020,7,18,232,Carlos Davis,STEELERS,DT,Nebraska
2020,7,19,233,Casey Toohill,EAGLES,LB,Stanford
2020,7,20,234,Clay Johnston,RAMS,LB,Baylor
2020,7,21,235,Jashon Cornell,LIONS,DE,Ohio State
2020,7,22,236,Vernon Scott,PACKERS,DB,Texas Christian
2020,7,23,237,Thakarius Keyes,CHIEFS,DB,Tulane
2020,7,24,238,T.J. Brunson,GIANTS,LB,South Carolina
2020,7,25,239,Dane Jackson,BILLS,DB,Pittsburgh
2020,7,26,240,Tommy Stevens,SAINTS,QB,Mississippi State
2020,7,27,241,Chapelle Russell,BUCCANEERS,LB,Temple
2020,7,28,242,Jonathan Garvin,PACKERS,DE,Miami (FL)
2020,7,29,243,Chris Jackson,TITANS,DB,Marshall
2020,7,30,244,Nate Stanley,VIKINGS,QB,Iowa
2020,7,31,245,Raymond Calais,BUCCANEERS,RB,Louisiana-Lafayette
2020,7,32,246,Malcolm Perry,DOLPHINS,WR,Navy
2020,7,33,247,Chris Williamson,GIANTS,DB,Minnesota
2020,7,34,248,Sam Sloman,RAMS, K,Miami (OH)
2020,7,35,249,Brian Cole,VIKINGS,DB,Mississippi State
2020,7,36,250,Tremayne Anchrum,RAMS, G,Clemson
2020,7,37,251,Stephen Sullivan,SEAHAWKS,TE,Louisiana State
2020,7,38,252,Tyrie Cleveland,BRONCOS,WR,Florida
2020,7,39,253,Kyle Hinton,VIKINGS, G,Washburn
2020,7,40,254,Derrek Tuszka,BRONCOS,LB,North Dakota State
2020,7,41,255,Tae Crowder,GIANTS,LB,Georgia
2021,1,1,1,Trevor Lawrence,JAGUARS,QB,Clemson
2021,1,2,2,Zach Wilson,JETS,QB,Brigham Young
2021,1,3,3,Trey Lance,49ERS,QB,North Dakota State
2021,1,4,4,Kyle Pitts,FALCONS,TE,Florida
2021,1,5,5,Ja\'Marr Chase,BENGALS,WR,Louisiana State
2021,1,6,6,Jaylen Waddle,DOLPHINS,WR,Alabama
2021,1,7,7,Penei Sewell,LIONS, T,Oregon
2021,1,8,8,Jaycee Horn,PANTHERS,DB,South Carolina
2021,1,9,9,Patrick Surtain,BRONCOS,DB,Alabama
2021,1,10,10,DeVonta Smith,EAGLES,WR,Alabama
2021,1,11,11,Justin Fields,BEARS,QB,Ohio State
2021,1,12,12,Micah Parsons,COWBOYS,LB,Penn State
2021,1,13,13,Rashawn Slater,CHARGERS, G,Northwestern
2021,1,14,14,Alijah Vera-Tucker,JETS, G,USC
2021,1,15,15,Mac Jones,PATRIOTS,QB,Alabama
2021,1,16,16,Zaven Collins,CARDINALS,LB,Tulsa
2021,1,17,17,Alex Leatherwood,RAIDERS, T,Alabama
2021,1,18,18,Jaelan Phillips,DOLPHINS,DE,Miami (FL)
2021,1,19,19,Jamin Davis,TEAM,LB,Kentucky
2021,1,20,20,Kadarius Toney,GIANTS,WR,Florida
2021,1,21,21,Kwity Paye,COLTS,DE,Michigan
2021,1,22,22,Caleb Farley,TITANS,DB,Virginia Tech
2021,1,23,23,Christian Darrisaw,VIKINGS, T,Virginia Tech
2021,1,24,24,Najee Harris,STEELERS,RB,Alabama
2021,1,25,25,Travis Etienne,JAGUARS,RB,Clemson
2021,1,26,26,Greg Newsome,BROWNS,DB,Northwestern
2021,1,27,27,Rashod Bateman,RAVENS,WR,Minnesota
2021,1,28,28,Payton Turner,SAINTS,DE,Houston
2021,1,29,29,Eric Stokes,PACKERS,DB,Georgia
2021,1,30,30,Gregory Rousseau,BILLS,DE,Miami (FL)
2021,1,31,31,Jayson Oweh,RAVENS,LB,Penn State
2021,1,32,32,Joe Tryon,BUCCANEERS,LB,Washington
2021,2,1,33,Tyson Campbell,JAGUARS,DB,Georgia
2021,2,2,34,Elijah Moore,JETS,WR,Mississippi
2021,2,3,35,Javonte Williams,BRONCOS,RB,North Carolina
2021,2,4,36,Jevon Holland,DOLPHINS,DB,Oregon
2021,2,5,37,Landon Dickerson,EAGLES, C,Alabama
2021,2,6,38,Christian Barmore,PATRIOTS,DT,Alabama
2021,2,7,39,Teven Jenkins,BEARS, T,Oklahoma State
2021,2,8,40,Richie Grant,FALCONS,DB,Central Florida
2021,2,9,41,Levi Onwuzurike,LIONS,DT,Washington
2021,2,10,42,Liam Eichenberg,DOLPHINS, T,Notre Dame
2021,2,11,43,Trevon Moehrig,RAIDERS,DB,Texas Christian
2021,2,12,44,Kelvin Joseph,COWBOYS,DB,Kentucky
2021,2,13,45,Walker Little,JAGUARS, T,Stanford
2021,2,14,46,Jackson Carman,BENGALS, T,Clemson
2021,2,15,47,Asante Samuel,CHARGERS,DB,Florida State
2021,2,16,48,Aaron Banks,49ERS, G,Notre Dame
2021,2,17,49,Rondale Moore,CARDINALS,WR,Purdue
2021,2,18,50,Azeez Ojulari,GIANTS,LB,Georgia
2021,2,19,51,Samuel Cosmi,TEAM, T,Texas
2021,2,20,52,Jeremiah Owusu-Koramoah,BROWNS,LB,Notre Dame
2021,2,21,53,Dillon Radunz,TITANS, T,North Dakota State
2021,2,22,54,Dayo Odeyingbo,COLTS,DE,Vanderbilt
2021,2,23,55,Pat Freiermuth,STEELERS,TE,Penn State
2021,2,24,56,D\'Wayne Eskridge,SEAHAWKS,WR,Western Michigan
2021,2,25,57,Tutu Atwell,RAMS,WR,Louisville
2021,2,26,58,Nick Bolton,CHIEFS,LB,Missouri
2021,2,27,59,Terrace Marshall,PANTHERS,WR,Louisiana State
2021,2,28,60,Pete Werner,SAINTS,LB,Ohio State
2021,2,29,61,Carlos Basham,BILLS,DE,Wake Forest
2021,2,30,62,Josh Myers,PACKERS, C,Ohio State
2021,2,31,63,Creed Humphrey,CHIEFS, C,Oklahoma
2021,2,32,64,Kyle Trask,BUCCANEERS,QB,Florida
2021,3,1,65,Andre Cisco,JAGUARS,DB,Syracuse
2021,3,2,66,Kellen Mond,VIKINGS,QB,Texas A&M
2021,3,3,67,Davis Mills,TEXANS,QB,Stanford
2021,3,4,68,Jalen Mayfield,FALCONS, T,Michigan
2021,3,5,69,Joseph Ossai,BENGALS,DE,Texas
2021,3,6,70,Brady Christensen,PANTHERS, T,Brigham Young
2021,3,7,71,Aaron Robinson,GIANTS,DB,Central Florida
2021,3,8,72,Alim McNeill,LIONS,DT,North Carolina State
2021,3,9,73,Milton Williams,EAGLES,DT,Louisiana Tech
2021,3,10,74,Benjamin St-Juste,TEAM,DB,Minnesota
2021,3,11,75,Osa Odighizuwa,COWBOYS,DT,UCLA
2021,3,12,76,Paulson Adebo,SAINTS,DB,Stanford
2021,3,13,77,Josh Palmer,CHARGERS,WR,Tennessee
2021,3,14,78,Chazz Surratt,VIKINGS,LB,North Carolina
2021,3,15,79,Malcolm Koonce,RAIDERS,DE,Buffalo
2021,3,16,80,Divine Deablo,RAIDERS,DB,Virginia Tech
2021,3,17,81,Hunter Long,DOLPHINS,TE,Boston College
2021,3,18,82,Dyami Brown,TEAM,WR,North Carolina
2021,3,19,83,Tommy Tremble,PANTHERS,TE,Notre Dame
2021,3,20,84,Chauncey Golston,COWBOYS,DE,Iowa
2021,3,21,85,Amari Rodgers,PACKERS,WR,Clemson
2021,3,22,86,Wyatt Davis,VIKINGS, G,Ohio State
2021,3,23,87,Kendrick Green,STEELERS, G,Illinois
2021,3,24,88,Trey Sermon,49ERS,RB,Ohio State
2021,3,25,89,Nico Collins,TEXANS,WR,Michigan
2021,3,26,90,Patrick Jones,VIKINGS,DE,Pittsburgh
2021,3,27,91,Anthony Schwartz,BROWNS,WR,Auburn
2021,3,28,92,Monty Rice,TITANS,LB,Georgia
2021,3,29,93,Spencer Brown,BILLS, T,Northern Iowa
2021,3,30,94,Ben Cleveland,RAVENS, G,Georgia
2021,3,31,95,Robert Hainsey,BUCCANEERS, T,Notre Dame
2021,3,32,96,Ronnie Perkins,PATRIOTS,DE,Oklahoma
2021,3,33,97,Tre\' McKitty,CHARGERS,TE,Georgia
2021,3,34,98,Quinn Meinerz,BRONCOS, C,Wisconsin-Whitewater
2021,3,35,99,Nahshon Wright,COWBOYS,DB,Oregon State
2021,3,36,100,Elijah Molden,TITANS,DB,Washington
2021,3,37,101,Ifeatu Melifonwu,LIONS,DB,Syracuse
2021,3,38,102,Ambry Thomas,49ERS,DB,Michigan
2021,3,39,103,Ernest Jones,RAMS,LB,South Carolina
2021,3,40,104,Brandon Stephens,RAVENS,DB,Southern Methodist
2021,3,41,105,Baron Browning,BRONCOS,LB,Ohio State
2021,4,1,106,Jay Tufele,JAGUARS,DT,USC
2021,4,2,107,Michael Carter,JETS,RB,North Carolina
2021,4,3,108,Darren Hall,FALCONS,DB,San Diego State
2021,4,4,109,Dez Fitzpatrick,TITANS,WR,Louisville
2021,4,5,110,James Hudson,BROWNS, T,Cincinnati
2021,4,6,111,Cameron Sample,BENGALS,DE,Tulane
2021,4,7,112,Amon-Ra St. Brown,LIONS,WR,USC
2021,4,8,113,Derrick Barnes,LIONS,LB,Purdue
2021,4,9,114,Drew Dalman,FALCONS, C,Stanford
2021,4,10,115,Jabril Cox,COWBOYS,LB,Louisiana State
2021,4,11,116,Elerson Smith,GIANTS,DE,Northern Iowa
2021,4,12,117,Bobby Brown,RAMS,DT,Texas A&M
2021,4,13,118,Chris Rumph,CHARGERS,LB,Duke
2021,4,14,119,Kene Nwangwu,VIKINGS,RB,Iowa State
2021,4,15,120,Rhamondre Stevenson,PATRIOTS,RB,Oklahoma
2021,4,16,121,Jordan Smith,JAGUARS,DE,Alabama-Birmingham
2021,4,17,122,Tyler Shelvin,BENGALS,DT,Louisiana State
2021,4,18,123,Zech McPhearson,EAGLES,DB,Texas Tech
2021,4,19,124,John Bates,TEAM,TE,Boise State
2021,4,20,125,Camryn Bynum,VIKINGS,DB,California
2021,4,21,126,Chuba Hubbard,PANTHERS,RB,Oklahoma State
2021,4,22,127,Kylen Granson,COLTS,TE,Southern Methodist
2021,4,23,128,Dan Moore ,STEELERS, T,Texas A&M
2021,4,24,129,Jaelon Darden,BUCCANEERS,WR,North Texas
2021,4,25,130,Robert Rochell,RAMS,DB,Central Arkansas
2021,4,26,131,Tylan Wallace,RAVENS,WR,Oklahoma State
2021,4,27,132,Tommy Togiai,BROWNS,DT,Ohio State
2021,4,28,133,Ian Book,SAINTS,QB,Notre Dame
2021,4,29,134,Janarius Robinson,VIKINGS,DE,Florida State
2021,4,30,135,Rashad Weaver,TITANS,DE,Pittsburgh
2021,4,31,136,Marco Wilson,CARDINALS,DB,Florida
2021,4,32,137,Tre Brown,SEAHAWKS,DB,Oklahoma
2021,4,33,138,Josh Ball,COWBOYS, T,Marshall
2021,4,34,139,D\'Ante Smith,BENGALS, T,East Carolina
2021,4,35,140,Buddy Johnson,STEELERS,LB,Texas A&M
2021,4,36,141,Jacob Harris,RAMS,TE,Central Florida
2021,4,37,142,Royce Newman,PACKERS, T,Mississippi
2021,4,38,143,Tyree Gillespie,RAIDERS,DB,Missouri
2021,4,39,144,Joshua Kaindoh,CHIEFS,DE,Florida State
2021,5,1,145,Luke Farrell,JAGUARS,TE,Ohio State
2021,5,2,146,Jamien Sherwood,JETS,DB,Auburn
2021,5,3,147,Brevin Jordan,TEXANS,TE,Miami (FL)
2021,5,4,148,Ta\'Quon Graham,FALCONS,DT,Texas
2021,5,5,149,Evan McPherson,BENGALS, K,Florida
2021,5,6,150,Kenneth Gainwell,EAGLES,RB,Memphis
2021,5,7,151,Larry Borom,BEARS, T,Missouri
2021,5,8,152,Caden Sterns,BRONCOS,DB,Texas
2021,5,9,153,Tony Fields ,BROWNS,LB,West Virginia
2021,5,10,154,Michael Carter,JETS,DB,Duke
2021,5,11,155,Jaylon Moore,49ERS, T,Western Michigan
2021,5,12,156,Isaiahh Loudermilk,STEELERS,DE,Wisconsin
2021,5,13,157,Ihmir Smith-Marsette,VIKINGS,WR,Iowa
2021,5,14,158,Daviyon Nixon,PANTHERS,DT,Iowa
2021,5,15,159,Brenden Jaimes,CHARGERS, T,Nebraska
2021,5,16,160,Shaun Wade,RAVENS,DB,Ohio State
2021,5,17,161,Tommy Doyle,BILLS, T,Miami (OH)
2021,5,18,162,Noah Gray,CHIEFS,TE,Duke
2021,5,19,163,Darrick Forrest,TEAM,DB,Cincinnati
2021,5,20,164,Jamar Johnson,BRONCOS,DB,Indiana
2021,5,21,165,Shawn Davis,COLTS,DB,Florida
2021,5,22,166,Keith Taylor,PANTHERS,DB,Washington
2021,5,23,167,Nate Hobbs,RAIDERS,DB,Illinois
2021,5,24,168,Zach Davidson,VIKINGS,TE,Central Missouri
2021,5,25,169,Richard LeCounte,BROWNS,DB,Georgia
2021,5,26,170,Garret Wallow,TEXANS,LB,Texas Christian
2021,5,27,171,Daelin Hayes,RAVENS,DE,Notre Dame
2021,5,28,172,Deommodore Lenoir,49ERS,DB,Oregon
2021,5,29,173,Tedarrell Slaton,PACKERS,DT,Florida
2021,5,30,174,Earnest Brown ,RAMS,DE,Northwestern
2021,5,31,175,Jason Pinnock,JETS,DB,Pittsburgh
2021,5,32,176,K.J. Britt,BUCCANEERS,LB,Auburn
2021,5,33,177,Cameron McGrone,PATRIOTS,LB,Michigan
2021,5,34,178,Shemar Jean-Charles,PACKERS,DB,Appalachian State
2021,5,35,179,Simi Fehoko,COWBOYS,WR,Stanford
2021,5,36,180,Talanoa Hufanga,49ERS,DB,USC
2021,5,37,181,Cornell Powell,CHIEFS,WR,Clemson
2021,5,38,182,Adetokunbo Ogundeji,FALCONS,DE,Notre Dame
2021,5,39,183,Avery Williams,FALCONS,DB,Boise State
2021,5,40,184,Ben Mason,RAVENS,RB,Michigan
2021,6,1,185,Nick Niemann,CHARGERS,LB,Iowa
2021,6,2,186,Hamsah Nasirildeen,JETS,DB,Florida State
2021,6,3,187,Frank Darby,FALCONS,WR,Arizona State
2021,6,4,188,Joshuah Bledsoe,PATRIOTS,DB,Missouri
2021,6,5,189,Marlon Tuipulotu,EAGLES,DT,USC
2021,6,6,190,Trey Hill,BENGALS, C,Georgia
2021,6,7,191,Tarron Jackson,EAGLES,DE,Coastal Carolina
2021,6,8,192,Quinton Bohanna,COWBOYS,DT,Kentucky
2021,6,9,193,Deonte Brown,PANTHERS, G,Alabama
2021,6,10,194,Elijah Mitchell,49ERS,RB,Louisiana-Lafayette
2021,6,11,195,Roy Lopez,TEXANS,DT,Arizona
2021,6,12,196,Gary Brightwell,GIANTS,RB,Arizona
2021,6,13,197,William Sherman,PATRIOTS, G,Colorado
2021,6,14,198,Larry Rountree ,CHARGERS,RB,Missouri
2021,6,15,199,Jaylen Twyman,VIKINGS,DT,Pittsburgh
2021,6,16,200,Brandin Echols,JETS,DB,Kentucky
2021,6,17,201,Rodarius Williams,GIANTS,DB,Oklahoma State
2021,6,18,202,Chris Evans,BENGALS,RB,Michigan
2021,6,19,203,Marquez Stevenson,BILLS,WR,Houston
2021,6,20,204,Shi Smith,PANTHERS,WR,South Carolina
2021,6,21,205,Racey McMath,TITANS,WR,Louisiana State
2021,6,22,206,Landon Young,SAINTS, T,Kentucky
2021,6,23,207,Jonathan Marshall,JETS,DT,Arkansas
2021,6,24,208,Stone Forsythe,SEAHAWKS, T,Florida
2021,6,25,209,Jalen Camp,JAGUARS,WR,Georgia Tech
2021,6,26,210,Victor Dimukeje,CARDINALS,LB,Duke
2021,6,27,211,Demetric Felton,BROWNS,RB,UCLA
2021,6,28,212,Damar Hamlin,BILLS,DB,Pittsburgh
2021,6,29,213,Rachad Wildgoose,BILLS,DB,Wisconsin
2021,6,30,214,Cole Van Lanen,PACKERS, T,Wisconsin
2021,6,31,215,Brady Breeze,TITANS,DB,Oregon
2021,6,32,216,Quincy Roche,STEELERS,DE,Miami (FL)
2021,6,33,217,Khalil Herbert,BEARS,RB,Virginia Tech
2021,6,34,218,Sam Ehlinger,COLTS,QB,Texas
2021,6,35,219,Seth Williams,BRONCOS,WR,Auburn
2021,6,36,220,Isaiah McDuffie,PACKERS,LB,Boston College
2021,6,37,221,Dazz Newsome,BEARS,WR,North Carolina
2021,6,38,222,Thomas Fletcher,PANTHERS, C,Alabama
2021,6,39,223,Tay Gowan,CARDINALS,DB,Central Florida
2021,6,40,224,JaCoby Stevens,EAGLES,DB,Louisiana State
2021,6,41,225,Camaron Cheeseman,TEAM, C,Michigan
2021,6,42,226,Trey Smith,CHIEFS, G,Tennessee
2021,6,43,227,Israel Mukuamu,COWBOYS,DB,South Carolina
2021,6,44,228,Thomas Graham ,BEARS,DB,Oregon
2021,7,1,229,Mike Strachan,COLTS,WR,Charleston
2021,7,2,230,Jimmy Morrissey,RAIDERS, C,Pittsburgh
2021,7,3,231,Larnel Coleman,DOLPHINS, T,Massachusetts
2021,7,4,232,Phil Hoskins,PANTHERS,DT,Kentucky
2021,7,5,233,Jake Funk,RAMS,RB,Maryland
2021,7,6,234,Patrick Johnson,EAGLES,LB,Tulane
2021,7,7,235,Wyatt Hubert,BENGALS,DE,Kansas State
2021,7,8,236,Jack Anderson,BILLS, G,Texas Tech
2021,7,9,237,Kary Vincent ,BRONCOS,DB,Louisiana State
2021,7,10,238,Matt Farniok,COWBOYS, G,Nebraska
2021,7,11,239,Jonathon Cooper,BRONCOS,DE,Ohio State
2021,7,12,240,William Bradley-King,TEAM,DE,Baylor
2021,7,13,241,Mark Webb,CHARGERS,DB,Georgia
2021,7,15,242,Tre Nixon,PATRIOTS,WR,Central Florida
2021,7,16,243,James Wiggins,CARDINALS,DB,Cincinnati
2021,7,17,244,Gerrid Doaks,DOLPHINS,RB,Cincinnati
2021,7,18,245,Tre Norwood,STEELERS,DB,Oklahoma
2021,7,19,246,Shaka Toney,TEAM,DE,Penn State
2021,7,20,247,Michal Menet,CARDINALS, C,Penn State
2021,7,21,248,Will Fries,COLTS, T,Penn State
2021,7,22,249,Ben Skowronek,RAMS,WR,Notre Dame
2021,7,23,250,Khyiris Tonga,BEARS,DT,Brigham Young
2021,7,24,251,Chris Wilcox,BUCCANEERS,DB,Brigham Young
2021,7,25,252,Chris Garrett,RAMS,LB,Concordia-St. Paul
2021,7,26,253,Marquiss Spencer,BRONCOS,DE,Mississippi State
2021,7,27,254,Pressley Harvin ,STEELERS, P,Georgia Tech
2021,7,28,255,Kawaan Baker,SAINTS,WR,South Alabama
2021,7,29,256,Kylin Hill,PACKERS,RB,Mississippi State
2021,7,30,257,Jermar Jefferson,LIONS,RB,Oregon State
2021,7,31,258,Dax Milne,TEAM,WR,Brigham Young
2021,7,32,259,Grant Stuard,BUCCANEERS,LB,Houston
NFL_Viz_Blog.ipynb 0000664 0000000 0000000 00007426171 14073533130 0030674 0 ustar 00root root 0000000 0000000 blogs-master-f0619f69e0b64a83c32243e0082630c1d846781e/NFL_Blog/NFL_Draft_Picks_EDA {
"cells": [
{
"cell_type": "code",
"execution_count": 4,
"source": [
"# read in data on draft picks and put it into a pandas dataframe\r\n",
"import pandas as pd\r\n",
"\r\n",
"data = pd.read_table('2000-2021 Draft Picks.csv', sep=',')\r\n",
"data.head(6000)"
],
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
" Year Round Pick Overall Name Team Position \\\n",
"0 2000 1 1 1 Courtney Brown BROWNS DE \n",
"1 2000 1 2 2 LaVar Arrington TEAM LB \n",
"2 2000 1 3 3 Chris Samuels TEAM T \n",
"3 2000 1 4 4 Peter Warrick BENGALS WR \n",
"4 2000 1 5 5 Jamal Lewis RAVENS RB \n",
"... ... ... ... ... ... ... ... \n",
"5604 2021 7 28 255 Kawaan Baker SAINTS WR \n",
"5605 2021 7 29 256 Kylin Hill PACKERS RB \n",
"5606 2021 7 30 257 Jermar Jefferson LIONS RB \n",
"5607 2021 7 31 258 Dax Milne TEAM WR \n",
"5608 2021 7 32 259 Grant Stuard BUCCANEERS LB \n",
"\n",
" School \n",
"0 Penn State \n",
"1 Penn State \n",
"2 Alabama \n",
"3 Florida State \n",
"4 Tennessee \n",
"... ... \n",
"5604 South Alabama \n",
"5605 Mississippi State \n",
"5606 Oregon State \n",
"5607 Brigham Young \n",
"5608 Houston \n",
"\n",
"[5609 rows x 8 columns]"
],
"text/html": [
"
\n",
"\n",
"
\n",
" \n",
" \n",
" \n",
" Year \n",
" Round \n",
" Pick \n",
" Overall \n",
" Name \n",
" Team \n",
" Position \n",
" School \n",
" \n",
" \n",
" \n",
" \n",
" 0 \n",
" 2000 \n",
" 1 \n",
" 1 \n",
" 1 \n",
" Courtney Brown \n",
" BROWNS \n",
" DE \n",
" Penn State \n",
" \n",
" \n",
" 1 \n",
" 2000 \n",
" 1 \n",
" 2 \n",
" 2 \n",
" LaVar Arrington \n",
" TEAM \n",
" LB \n",
" Penn State \n",
" \n",
" \n",
" 2 \n",
" 2000 \n",
" 1 \n",
" 3 \n",
" 3 \n",
" Chris Samuels \n",
" TEAM \n",
" T \n",
" Alabama \n",
" \n",
" \n",
" 3 \n",
" 2000 \n",
" 1 \n",
" 4 \n",
" 4 \n",
" Peter Warrick \n",
" BENGALS \n",
" WR \n",
" Florida State \n",
" \n",
" \n",
" 4 \n",
" 2000 \n",
" 1 \n",
" 5 \n",
" 5 \n",
" Jamal Lewis \n",
" RAVENS \n",
" RB \n",
" Tennessee \n",
" \n",
" \n",
" ... \n",
" ... \n",
" ... \n",
" ... \n",
" ... \n",
" ... \n",
" ... \n",
" ... \n",
" ... \n",
" \n",
" \n",
" 5604 \n",
" 2021 \n",
" 7 \n",
" 28 \n",
" 255 \n",
" Kawaan Baker \n",
" SAINTS \n",
" WR \n",
" South Alabama \n",
" \n",
" \n",
" 5605 \n",
" 2021 \n",
" 7 \n",
" 29 \n",
" 256 \n",
" Kylin Hill \n",
" PACKERS \n",
" RB \n",
" Mississippi State \n",
" \n",
" \n",
" 5606 \n",
" 2021 \n",
" 7 \n",
" 30 \n",
" 257 \n",
" Jermar Jefferson \n",
" LIONS \n",
" RB \n",
" Oregon State \n",
" \n",
" \n",
" 5607 \n",
" 2021 \n",
" 7 \n",
" 31 \n",
" 258 \n",
" Dax Milne \n",
" TEAM \n",
" WR \n",
" Brigham Young \n",
" \n",
" \n",
" 5608 \n",
" 2021 \n",
" 7 \n",
" 32 \n",
" 259 \n",
" Grant Stuard \n",
" BUCCANEERS \n",
" LB \n",
" Houston \n",
" \n",
" \n",
"
\n",
"
5609 rows × 8 columns
\n",
"
"
]
},
"metadata": {},
"execution_count": 4
}
],
"metadata": {}
},
{
"cell_type": "code",
"execution_count": null,
"source": [
"# Tells us the rows and columns of our dataset\r\n",
"data.shape"
],
"outputs": [],
"metadata": {}
},
{
"cell_type": "code",
"execution_count": 5,
"source": [
"# This code gives us a count of each position in the dataframe\r\n",
"data['Position'].value_counts()"
],
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"DB 1118\n",
"WR 717\n",
"LB 692\n",
"DE 510\n",
"RB 503\n",
"DT 459\n",
" T 454\n",
"TE 322\n",
" G 307\n",
"QB 271\n",
" C 167\n",
" K 47\n",
" P 42\n",
"Name: Position, dtype: int64"
]
},
"metadata": {},
"execution_count": 5
}
],
"metadata": {}
},
{
"cell_type": "code",
"execution_count": 7,
"source": [
"# We want to make some of our columns categorical, so they're more easily manipulated. Even though Year and Round are technically integers, \r\n",
"# we want them cast to categories so we can make predictions about the future. If they remain as integers the computer may think that a \r\n",
"# draft is possible in the year 2025.4567 or that a player could be taken in round 6.772. Making them categories lets the computer know that \r\n",
"# there are no values \"in between\" these numbers. We will leave Pick and Overall as integers because it will make it easier to average and predict \r\n",
"# because these integers are more ordinal than some of the others. Round could probably go either way since it also has an ordinal nature to it, but \r\n",
"# I think it makes a better category since there are only 7.\r\n",
"\r\n",
"data['Position'] = data.Position.astype('category')\r\n",
"data['Round'] = data.Round.astype('category')\r\n",
"data['Team'] = data.Team.astype('category')\r\n",
"data['School'] = data.School.astype('category')\r\n",
"data['Year'] = data.Year.astype('category')\r\n",
"\r\n",
"print (data.dtypes)"
],
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Year category\n",
"Round category\n",
"Pick int64\n",
"Overall int64\n",
"Name object\n",
"Team category\n",
"Position category\n",
"School category\n",
"dtype: object\n"
]
}
],
"metadata": {}
},
{
"cell_type": "code",
"execution_count": 8,
"source": [
"# Let's check the value counts for the Team column. \r\n",
"print(data['Team'].value_counts())"
],
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"49ERS 197\n",
"PACKERS 197\n",
"VIKINGS 193\n",
"BENGALS 192\n",
"RAMS 192\n",
"SEAHAWKS 191\n",
"PATRIOTS 191\n",
"RAVENS 187\n",
"BROWNS 185\n",
"TITANS 184\n",
"JAGUARS 179\n",
"EAGLES 179\n",
"BRONCOS 178\n",
"COLTS 178\n",
"BILLS 175\n",
"STEELERS 175\n",
"RAIDERS 175\n",
"COWBOYS 173\n",
"LIONS 170\n",
"TEAM 167\n",
"DOLPHINS 166\n",
"CHIEFS 166\n",
"BUCCANEERS 166\n",
"PANTHERS 165\n",
"CARDINALS 162\n",
"FALCONS 161\n",
"BEARS 161\n",
"CHARGERS 159\n",
"GIANTS 158\n",
"JETS 157\n",
"TEXANS 154\n",
"SAINTS 139\n",
"COWBOYS 5\n",
"PATRIOTS 3\n",
"DOLPHINS 3\n",
"BEARS 2\n",
"TITANS 2\n",
"GIANTS 2\n",
"FALCONS 2\n",
"EAGLES 2\n",
"SAINTS 2\n",
"BUCCANEERS 1\n",
"BILLS 1\n",
"TEXANS 1\n",
"BRONCOS 1\n",
"STEELERS 1\n",
"REDSKINS 1\n",
"SEAHAWKS 1\n",
"PACKERS 1\n",
"RAVENS 1\n",
"RAMS 1\n",
"RAIDERS 1\n",
"PANTHERS 1\n",
"BENGALS 1\n",
"LIONS 1\n",
"Name: Team, dtype: int64\n"
]
}
],
"metadata": {}
},
{
"cell_type": "code",
"execution_count": 9,
"source": [
"# For the most part we are seeing what we wanted to see, but it needs some attention because there are repeat teams with different spellings and/or capitalization \r\n",
"# and some with different spellings that as still repeated. It also has 8 rows that just say \"team\" so we need to look into those.\r\n",
"# Let's try to capitalize the column to see if that helps\r\n",
"data['Team'] = data['Team'].str.upper()\r\n",
"data['Team'].value_counts()"
],
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"49ERS 197\n",
"PACKERS 197\n",
"VIKINGS 193\n",
"BENGALS 192\n",
"RAMS 192\n",
"SEAHAWKS 191\n",
"PATRIOTS 191\n",
"RAVENS 187\n",
"BROWNS 185\n",
"TITANS 184\n",
"JAGUARS 179\n",
"EAGLES 179\n",
"COLTS 178\n",
"BRONCOS 178\n",
"STEELERS 175\n",
"BILLS 175\n",
"RAIDERS 175\n",
"COWBOYS 173\n",
"LIONS 170\n",
"TEAM 167\n",
"BUCCANEERS 166\n",
"CHIEFS 166\n",
"DOLPHINS 166\n",
"PANTHERS 165\n",
"CARDINALS 162\n",
"BEARS 161\n",
"FALCONS 161\n",
"CHARGERS 159\n",
"GIANTS 158\n",
"JETS 157\n",
"TEXANS 154\n",
"SAINTS 139\n",
"COWBOYS 5\n",
"DOLPHINS 3\n",
"PATRIOTS 3\n",
"TITANS 2\n",
"FALCONS 2\n",
"BEARS 2\n",
"GIANTS 2\n",
"EAGLES 2\n",
"SAINTS 2\n",
"BENGALS 1\n",
"PACKERS 1\n",
"STEELERS 1\n",
"PANTHERS 1\n",
"BRONCOS 1\n",
"REDSKINS 1\n",
"BUCCANEERS 1\n",
"SEAHAWKS 1\n",
"RAMS 1\n",
"RAIDERS 1\n",
"LIONS 1\n",
"BILLS 1\n",
"RAVENS 1\n",
"TEXANS 1\n",
"Name: Team, dtype: int64"
]
},
"metadata": {},
"execution_count": 9
}
],
"metadata": {}
},
{
"cell_type": "code",
"execution_count": 10,
"source": [
"# Better but not perfect yet. Now let's check for duplicates. There are 32 teams in the NFL, so we should get the answer 33 because of the \"TEAM\" value.\r\n",
"s = data['Team'].nunique()\r\n",
"print(s) "
],
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"55\n"
]
}
],
"metadata": {}
},
{
"cell_type": "code",
"execution_count": 13,
"source": [
"#That didn't work. Maybe there are cells with trailing blank spaces. Let's eliminate those with the .strip() function then look for the unique cells again.\r\n",
"\r\n",
"data['Team'] = data['Team'].str.strip()\r\n",
"data['Team'].value_counts()\r\n",
"s = data['Team'].nunique()\r\n",
"print(s) "
],
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"32\n"
]
}
],
"metadata": {}
},
{
"cell_type": "code",
"execution_count": 35,
"source": [
"# Just what we wanted. Now let's update team names. The Washington Football Team used to have another name, so we need to change the old nickname to the new one.\r\n",
"data[\"Team\"].replace({\"REDSKINS\": \"TEAM\"}, inplace=True)"
],
"outputs": [],
"metadata": {}
},
{
"cell_type": "code",
"execution_count": 14,
"source": [
"#Let's make sure there isn't any occurences of the old nickname left\r\n",
"data['Team'].value_counts()"
],
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"PACKERS 198\n",
"49ERS 197\n",
"PATRIOTS 194\n",
"BENGALS 193\n",
"VIKINGS 193\n",
"RAMS 193\n",
"SEAHAWKS 192\n",
"RAVENS 188\n",
"TITANS 186\n",
"BROWNS 185\n",
"EAGLES 181\n",
"BRONCOS 179\n",
"JAGUARS 179\n",
"COWBOYS 178\n",
"COLTS 178\n",
"RAIDERS 176\n",
"STEELERS 176\n",
"BILLS 176\n",
"LIONS 171\n",
"DOLPHINS 169\n",
"TEAM 168\n",
"BUCCANEERS 167\n",
"CHIEFS 166\n",
"PANTHERS 166\n",
"BEARS 163\n",
"FALCONS 163\n",
"CARDINALS 162\n",
"GIANTS 160\n",
"CHARGERS 159\n",
"JETS 157\n",
"TEXANS 155\n",
"SAINTS 141\n",
"Name: Team, dtype: int64"
]
},
"metadata": {},
"execution_count": 14
}
],
"metadata": {}
},
{
"cell_type": "markdown",
"source": [
"# Data Analysis"
],
"metadata": {}
},
{
"cell_type": "markdown",
"source": [
"Let's start to look at our data now that we've cleaned it. Let's start by looking at which are the top schools in the draft. "
],
"metadata": {}
},
{
"cell_type": "markdown",
"source": [
"### Top 5 schools by position"
],
"metadata": {}
},
{
"cell_type": "code",
"execution_count": 36,
"source": [
"from itertools import islice\r\n",
"import matplotlib.pyplot as plt; plt.rcdefaults()\r\n",
"import numpy as np\r\n",
"import matplotlib.pyplot as plt\r\n",
"import seaborn as sns\r\n",
"\r\n",
"def take(n, iterable):\r\n",
" # Return first n items of the iterable as a list\r\n",
" return list(islice(iterable, n))\r\n",
"\r\n",
"#Creating an index for our color palette to iterate through later on. There are better ways to do this using enumerate\r\n",
"cp = 0\r\n",
"\r\n",
"# variable of all schools in data set for code to loop through\r\n",
"school = data['School'].value_counts().index\r\n",
"\r\n",
"# variable of all positions in data set\r\n",
"position = data['Position'].value_counts().index\r\n",
"\r\n",
"# creating a dictionary to store key value pairs of School and Number of Draft picks by Position\r\n",
"dicts = {}\r\n",
"\r\n",
"# creating list of positions\r\n",
"pos=[]\r\n",
"posDF=[]\r\n",
"for p in position:\r\n",
" pos.append(p)\r\n",
"\r\n",
"# for every position\r\n",
"for j in position:\r\n",
" for p in range (5): #range is 5 because we are looking for top 5 schools\r\n",
" posDF.append(str(j))\r\n",
" for i in school:\r\n",
" x = data.loc[(data['Position']==str(j)) & (data['School']==str(i))] #create a combination to count (i.e. 'QB' & 'Alabama')\r\n",
" z=x.count()[0] # Count how many times the above combination ^ (x) is in the data set \r\n",
" dicts.update( {str(i) : z} ) # add school and total to dictionary\r\n",
"\r\n",
" #order the list by value small to large and take the last 5 (the largest 5)\r\n",
" b = {k: v for k, v in sorted(dicts.items(), key=lambda item: item[1])}\r\n",
" uni = list(islice(reversed(b), 0, 5))\r\n",
"\r\n",
" # Create list for number of picks from list above (uni). \r\n",
" # This was easier for me than trying to keep track of the largest 5 during the loop above\r\n",
" top5=[]\r\n",
" for i in uni:\r\n",
" x=dicts[i]\r\n",
" top5.append(x)\r\n",
"\r\n",
" \r\n",
" # Create Graphs\r\n",
" # This first chucnk of code will allow us to use the seaborn package to style our plots. Palette is used to store a series of different \r\n",
" # color gradients. A quick google search for seaborn color palettes will give you all the names and show you visuals of them\r\n",
" plt.style.use(\"seaborn\")\r\n",
" palette = [\r\n",
" sns.color_palette(\"winter\", 7),\r\n",
" sns.color_palette(\"viridis_r\", 7),\r\n",
" sns.color_palette(\"inferno\", 7),\r\n",
" sns.color_palette(\"cividis\", 7),\r\n",
" sns.color_palette(\"autumn_r\", 7),\r\n",
" sns.color_palette(\"twilight\", 7),\r\n",
" sns.color_palette(\"gnuplot\", 7),\r\n",
" sns.color_palette(\"gist_stern\", 7),\r\n",
" sns.color_palette(\"Spectral_r\", 7),\r\n",
" sns.color_palette(\"CMRmap_r\", 7),\r\n",
" sns.color_palette(\"Dark2\", 7),\r\n",
" sns.color_palette(\"GnBu\", 7),\r\n",
" sns.color_palette(\"PRGn\", 7),\r\n",
" sns.color_palette(\"Dark2_r\", 7),\r\n",
" sns.color_palette(\"afmhot\", 7),\r\n",
" sns.color_palette(\"autumn\", 7),\r\n",
" sns.color_palette(\"bone\", 7),\r\n",
" sns.color_palette(\"brg_r\", 7),\r\n",
" ]\r\n",
" # This picks the size of the chart in the output cell\r\n",
" fig = plt.figure(figsize=(8,6))\r\n",
" # Adding a subplot grid for your reference in case you want to use it. I'm not really using it here because we want the charts to be readable, \r\n",
" # but normally you would use this to display a series of charts in grid form. It will also allow you to share an axis with other charts.\r\n",
" axes = fig.add_subplot(1,1,1)\r\n",
" # setting y limit to 40\r\n",
" axes.set_ylim(0, 40)\r\n",
"\r\n",
" # arranging values\r\n",
" y_pos = np.arange(len(uni))\r\n",
" #creating chart, adding x and y values, alpha is the color \"strength\"\r\n",
" plt.bar(y_pos, top5, align='center', alpha=1, color=palette[cp])\r\n",
"\r\n",
" # setting more chart options\r\n",
" plt.xticks(y_pos, uni)\r\n",
" plt.ylabel('Total Number of Draft Picks Since 2000')\r\n",
" plt.title('Top 5 Schools for %s' % posDF[0])\r\n",
"\r\n",
" #displaying chart, resetting position list and iterating on color palette\r\n",
" plt.show()\r\n",
" posDF=[]\r\n",
" cp += 1\r\n"
],
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
""
],
"image/png": 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"
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
"text/plain": [
""
],
"image/png": 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"
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
"text/plain": [
""
],
"image/png": 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"
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
"text/plain": [
""
],
"image/png": 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"
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
"text/plain": [
""
],
"image/png": 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"
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
"text/plain": [
""
],
"image/png": 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"
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
"text/plain": [
""
],
"image/png": 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"
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
"text/plain": [
""
],
"image/png": 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"
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
"text/plain": [
""
],
"image/png": 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"
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
"text/plain": [
""
],
"image/png": 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"
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
"text/plain": [
""
],
"image/png": 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a6Kvroaeuib46T5oF1gULFuju3bvW2+PGjZMk9erVSzt27NDnn38ui8Uik8kki8WiP//8U++9915alQsAAIA0kmaBNU+ePDa3M2W6tzs4f/78ypYtm8aPH68RI0aoefPmWrx4seLi4vTqq6+mRakAAABIQ2l+WquU+Pr6atasWdq1a5caN26svXv3avbs2fLx8Unr0gAAAPCEGebSrKkhOvpGWpfwVPDwcFPWrJl09epN1tq4CHrqmuir66Gnrom+OiYwMPNDtzHkHlYAAAAgCYEVAAAAhkZgBQAAgKERWAEAAGBoBFYAAAAYGoEVAAAAhkZgBQAAgKERWAEAAGBoBFYAAAAYGoEVAAAAhkZgBQAAgKERWAEAAGBoBFYAAAAYGoEVAAAAhkZgBQAAgKERWAEAAGBoBFYAAAAYGoEVAAAAhkZgBQAAgKERWAEAAGBoBFYAAAAYGoEVAAAAhkZgBQAAgKERWAEAAGBoBFYAAAAYGoEVAAAAhkZgBQAAgKERWAEAAGBoBFYAAAAYGoEVAAAAhkZgBQAAgKERWAEAAGBoBFYAAAAYGoEVAAAAhkZgBQAAgKERWAEAAGBoBFYAAAAYGoEVAAAAhkZgBQAAgKERWAEAAGBoBFYAAAAYGoEVAAAAhkZgBQAAgKERWAEAAGBoBFYAAAAYGoEVAAAAhpamgfX06dPq0KGDgoOD9fLLL2vOnDnW+4YPH66goCCbPwsXLkzDagEAAJAWPNLqic1mszp27KiSJUtqxYoVOn36tHr06KGcOXPqtddeU2RkpHr27KlGjRpZH+Pr65tW5QIAACCNpNke1kuXLqlo0aIaPHiwChQooKpVq6pixYratWuXJCkyMlLFihVTYGCg9Y+3t3dalQsAAIA0kmaBNUeOHJo0aZJ8fX1lsVi0a9cu7dixQ+XLl1dsbKwuXryoAgUKpFV5AAAAMIg0WxLwb9WqVVNUVJTCw8NVq1YtHThwQCaTSTNnztSvv/4qf39/tWvXzmZ5gD3c3ExyczOlUtWuw93dzeZvPP3oqWuir66Hnrom+up8hgisU6ZM0aVLlzR48GCNGjVKxYsXl8lkUqFChfTmm29qx44dGjBggHx9fVWzZk275w0IyCSTicBqLz8/lly4Gnrqmuir66Gnrom+Oo/JYrFY0rqIJGvXrlWvXr30559/6tatW/L397feN2zYMJ06dUpz5861e77Ll2PZw2oHd3c3+fl56/r1OCUmmtO6HDgBPXVN9NX10FPXRF8dkzVrpoduk2Z7WC9duqQ9e/aoRo0a1rHnnntOd+7cUWxsrAICAmy2L1SokLZt2+bQc5jNFpnNhsnjhpeYaNbdu7ywXAk9dU301fXQU9dEX50nzRZXnDt3Tl26dNHFixetYwcOHFBAQIAWLFigtm3b2mx/5MgRFSpU6AlXCQAAgLSWZoG1ZMmSKl68uPr27asTJ07ol19+0dixY/Xee+8pPDxcO3bs0BdffKEzZ87o66+/1sqVK9W+ffu0KhcAAABpJM2WBLi7u2vGjBkaNmyYmjVrJm9vb7Vu3Vpt2rSRyWTS5MmTNWXKFE2ePFl58uTR+PHjFRwcnFblAgAAII0Y6qArZ4uOvpHWJTwVPDzclDVrJl29epO1Ni6Cnrom+up66Klroq+OCQzM/NBtOEEYAAAADI3ACgAAAEMjsAIAAMDQCKwAAAAwNAIrAAAADI3ACgAAAEMjsAIAAMDQCKwAAAAwNAIrAAAADI3ACgAAAEMjsAIAAMDQCKwAAAAwNAIrAAAADI3ACgAAAEMjsAIAAMDQCKwAAAAwNAIrAAAADI3ACgAAAEMjsAIAAMDQCKwAAAAwNAIrAAAADI3ACgAAAEMjsAIAAMDQCKwAAAAwNAIrAAAADI3ACgAAAEMjsAIAAMDQCKwAAAAwNAIrAAAADI3ACgAAAEMjsAIAAMDQCKwAAAAwNAIrAAAADI3ACgAAAEPzcGTjO3fu6PDhw7pw4YLi4+Pl7e2tnDlzqmjRovLwcGgqAAAAwC52pUyLxaLp06dr/vz5unHjRrL7fX191b59e3Xq1MnpBQIAACB9syuwTpkyRV9//bU++ugjVahQQTly5JCXl5fi4+P1zz//aOvWrZowYYLMZrO6dOmS2jUDAAAgHbErsC5ZskQjR45U9erVbcYzZsyofPnyKV++fMqWLZuGDRtGYAUAAIBT2XXQVVxcnAoUKPDAbfLmzauYmBhn1AQAAABY2RVYQ0NDNW7cOMXGxqZ4/82bNzV+/HiFhIQ4tTgAAADAriUBAwcOVPv27VWpUiUVK1ZMuXLlkqenpxISEvTPP//o4MGDypEjh+bMmZPa9QIAACCdsSuw5smTRxEREVq7dq127dqlCxcu6OrVq/Ly8tLzzz+vli1bqkaNGvL09EztegEAAJDO2H3yVA8PD9WrV0/16tVLzXoAAAAAG3YH1mvXrul///ufdu7cqfPnzyshIcF64YBy5crpjTfekL+/fyqWCgAAgPTIrsB6+PBhtWvXTt7e3goNDdXzzz9vcx7WRYsWae7cuZo3b56CgoJSu2YAAACkI3YF1uHDh6tq1aoaOXKk3N3dk92fmJioPn36aPjw4VqwYIHdT3769GkNHTpUf/75p7JkyaI333xTb7/9tiTp7NmzGjBggPbs2aPcuXOrb9++qly5st1zAwAAwDXYdVqrAwcOqGPHjimGVUlyd3fXu+++qwMHDtj9xGazWR07dlTWrFm1YsUKDRkyRJ999pm+//57WSwWde7cWdmzZ9eyZcvUoEEDdenSRVFRUXbPDwAAANdg1x7WwMBAHTlyRIULF77vNvv373doDeulS5dUtGhRDR48WL6+vipQoIAqVqyoXbt2KXv27Dp79qwWL14sHx8fFS5cWFu3btWyZcvUtWtXu58DAAAATz+7Amu7du3Ur18/HT16VBUqVNAzzzxjcx7WP/74Q/PmzVO3bt3sfuIcOXJo0qRJkiSLxaI///xTO3bs0KBBg7R3714VK1ZMPj4+1u1DQkK0Z88eh/5zAAAAePrZFVhbtWolHx8fzZo1S7Nnz5bJZJJ0L2hKUsGCBdW3b181adLkkYqoVq2aoqKiFB4erlq1amnkyJHKkSOHzTbZsmXThQsXHml+AAAAPL3sPq1Vo0aN1KhRI125ckUXLlxQXFycMmbMqFy5cikgIOCxipgyZYouXbqkwYMHa9SoUYqLi0t2EYKkPbqOcHMzyc3N9Fi1pQfu7m42f+PpR09dE311PfTUNdFX57M7sErSnTt3dO7cOV24cEHx8fHy9vaWxWKRn5+fPDwcmspGyZIlJUnx8fHq1auXXn/9dcXFxdlsk5CQoIwZMzo0b0BAJuveYDycn593WpcAJ6Onrom+uh566proq/PYlTItFoumT5+u+fPn68aNG8nu9/X1Vfv27dWpUye7n/jSpUvas2ePatSoYR177rnndOfOHQUGBurkyZPJtv/vMoGHuXLlJntY7eDu7iY/P29dvx6nxERzWpcDJ6Cnrom+uh566proq2OyZs300G3sCqxTpkzR119/rY8++kgVKlRQjhw5bC4csHXrVk2YMEFms1ldunSxq7hz586pS5cu+uWXX5QzZ05J906fFRAQoJCQEM2dO1e3b9+27lXdtWuXQkJC7Jo7idlskdlscegx6Vlioll37/LCciX01DXRV9dDT10TfXUeuxZXLFmyRCNHjlTTpk2VL18+ZcyYUSaTSRkzZlS+fPnUrFkzjRgxQkuWLLH7iUuWLKnixYurb9++OnHihH755ReNHTtW7733nsqXL69cuXKpT58+On78uGbPnq19+/bpjTfeeOT/KAAAAJ5OdgXWuLg4FShQ4IHb5M2bVzExMXY/sbu7u2bMmCFvb281a9ZM/fr1U+vWrdWmTRvrfdHR0WrcuLG+++47TZ8+Xblz57Z7fgAAALgGkyXp3FQP8O6778rNzU1jx46Vr69vsvtv3ryp7t27KzExUV988UWqFPoooqOTr7dFch4ebsqaNZOuXr3JRxcugp66Jvrqeuipa6KvjgkMzPzQbexawzpw4EC1b99elSpVUrFixZQrVy6bCwccPHhQOXLk0Jw5cx67aAAAAODf7AqsefLkUUREhNauXatdu3bpwoULunr1qry8vPT888+rZcuWqlGjRrJzpwIAAACPy+6Tp3p4eKhevXqqV69eatYDAAAA2LD7EgyrVq1S69atVb9+fY0bN06xsbE291+5ckXVq1d3eoEAAABI3+w+rVW/fv2UL18+lS5dWosWLdLrr7+uqKgo6zZms9nmNgAAAOAMdgXWr776SgMHDtSIESM0bNgwRUREyMPDQ61bt1Z0dHRq1wgAAIB0zK7Aeu7cOVWsWNF6O3fu3Jo/f75MJpPefvvtZMsDAAAAAGexK7DmyJFDBw8etBnLnj27Zs+erQsXLuj999/X7du3U6VAAAAApG92BdYmTZpo0KBBmj17ti5evGgdL1SokGbMmKGDBw+qffv2qVYkAAAA0i+7AmuHDh3Utm1bLVq0SKdOnbK5LyQkRF9++WVq1AYAAADYd2nWf7NYLDKZTMnGExMTtW/fPgUHBzutuMfFpVntwyXkXA89dU301fXQU9dEXx1jz6VZ7T4Pa5KUwqokubu7GyqsAgAAwDU4HFgBAACAJ4nACgAAAEMjsAIAAMDQHjmwRkVFafPmzbp9+7YuX77szJoAAAAAKw9HH5CQkKBPPvlEa9askZubm9atW6fRo0fr5s2bmjp1qnx9fVOjTgAAAKRTDu9h/eyzz3TkyBHNnz9fXl5ekqTWrVvr9OnTGjdunNMLBAAAQPrmcGCNiIjQgAEDFBYWZh0LCwvTiBEjtHHjRqcWBwAAADgcWC9evKh8+fIlG8+VK5diYmKcUhQAAACQxOHAWrhwYW3dujXZeEREhJ577jmnFAUAAAAkcfigq65du6p79+46ceKEEhMTtWLFCp06dUrr1q3TxIkTU6NGAAAApGMO72ENDw/XlClTdODAAbm7u+uLL77Q2bNnNXHiRNWqVSs1agQAAEA65vAeVkmqUqWKSpQooYCAAEnSvn37VLx4cacWBgAAAEiPsIf1zJkzql27tubMmWMd69ixoxo0aKDz5887tTgAAADA4cA6cuRI5c+fX23btrWO/fDDD8qVK5dGjRrlzNoAAAAAxwPrzp071bt3b+XIkcM6FhAQoI8//ljbtm1zanEAAACAw4HVw8ND169fTzYeFxcni8XilKIAAACAJA4H1pdeeknDhw/XmTNnrGNnz57VqFGjVKVKFacWBwAAADh8loBPPvlE7dq1U61ateTn5ydJun79uooXL64+ffo4vUAAAACkbw4H1mzZsmnFihX6/fffdfz4cXl4eOi5555TxYoVZTKZUqNGAAAApGOPdB5Wd3d3ValShSUAAAAASHUOB9bo6GhNmjRJf/75p+7cuZPsQKuNGzc6rTgAAADA4cA6YMAAHThwQHXr1lXmzJlToyYAAADAyuHAum3bNs2ZM0ehoaGpUQ8AAABgw+HTWvn4+ChbtmypUQsAAACQjMOBtUGDBpozZ44SExNTox4AAADAhsNLAq5du6bVq1dr06ZNyps3rzw9PW3u/+qrr5xWHAAAAPBIp7WqV6+es+sAAAAAUuRwYB01alRq1AEAAACkyK7AunLlStWpU0eenp5auXLlA7dt2LChE8oCAAAA7rErsPbu3VtVqlRRtmzZ1Lt37/tuZzKZCKwAAABwKrsC65EjR1L8NwAAAJDaHD6t1b/dvXtXBw8e1MWLF51VDwAAAGDD7sC6atUqNW7cWFFRUZKkyMhIvfLKK3rjjTcUHh6ufv36cW5WAAAAOJ1dgXXdunXq3bu3ChQooIwZM0q6t671+vXrmjlzphYsWKBdu3ZxDlYAAAA4nV2BdcGCBerUqZMmTJiggIAAHTt2TPv371erVq1UtWpVhYSE6MMPP9Ty5csdevKLFy+qW7duKl++vKpUqaJRo0YpPj5ekjR8+HAFBQXZ/Fm4cKHj/0MAAAA81ew+6GrIkCHW29u2bZPJZFJ4eLh1rGjRojpz5ozdT2yxWNStWzf5+flp0aJFiomJUd++feXm5qZPPvlEkZGR6tmzpxo1amR9jK+vr93zAwAAwDXYtYf1zp078vLyst7euXOnfHx8VLJkSevY3bt3lSFDBruf+OTJk9qzZ49GjRql559/XqGhoerWrZtWr14t6d4a2WLFiikwMND6x9vb2+75AQAA4BrsCqwFCxbUwYMHJUnx8fH6/fffVaFCBbm7u1u3+fnnn1WgQAG7nzgwMFBz5sxR9uzZbcZjY2MVGxurixcvOjQfAAAAXJNdSwIaN26s4cOH68KFC9q2bZtiY2PVokULSVJCQoI2btyozz77TB9++KHdT+zn56cqVapYb5vNZi1cuFAVKlRQZGSkTCaTZs6cqV9//VX+/v5q166dzfIAAAAApA92BdY2bdro6tWr+uyzz+Tm5qbevXurcuXKkqQRI0bo22+/VYMGDdSqVatHLmTs2LE6dOiQli5dqoMHD8pkMqlQoUJ68803tWPHDg0YMEC+vr6qWbOm3XO6uZnk5mZ65JrSC3d3N5u/8fSjp66Jvroeeuqa6KvzmSwWi+VxJjh69KgkKSgo6JHnGDt2rObNm6eJEyeqVq1aslgsiomJkb+/v3WbYcOG6dSpU5o7d67d81osFplMBFYAAICnmV17WB/kcYKqdC+IfvPNNxo7dqxq1aolSTKZTDZhVZIKFSqkbdu2OTT3lSs32cNqB3d3N/n5eev69TglJprTuhw4AT11TfTV9dBT10RfHZM1a6aHbvPYgfVxTJs2TYsXL9aECRNUu3Zt6/jkyZO1e/duffnll9axI0eOqFChQg7NbzZbZDY/1g7kdCUx0ay7d3lhuRJ66proq+uhp66JvjpPmi2uiIyM1IwZM/TOO+8oJCRE0dHR1j/h4eHasWOHvvjiC505c0Zff/21Vq5cqfbt26dVuQAAAEgjabaHdePGjUpMTNRnn32mzz77zOa+o0ePavLkyZoyZYomT56sPHnyaPz48QoODk6jagEAAJBWHvugKyOLjr6R1iU8FTw83JQ1ayZdvXqTjy5cBD11TfTV9dBT10RfHRMYmPmh2zi8JCAhIUEzZ87U6dOnJUn9+vVTcHCwOnTooKtXrzpeJQAAAPAADgfWcePGad68eYqNjdWvv/6qFStW6N1339XNmzc1ZsyY1KgRAAAA6ZjDgXXt2rWaMGGCihcvro0bN6p8+fJ677331L9/f23atCkVSgQAAEB65nBgvXbtmgoXLixJ+u2331SpUiVJkr+/v27fvu3c6gAAAJDuOXyWgHz58mn//v26fPmyzp07pypVqkiSNmzYoGeffdbpBQIAACB9cziwvv322+rRo4fc3NxUoUIFvfDCC5o+fbqmT5+ukSNHpkaNAAAASMccDqwNGzZU0aJFdfbsWb300kuSpJIlS+qLL75QxYoVnV4gAAAA0jeH17CePXtWQUFBqlGjhjw9PSVJL730ksqVK6cpU6Y4vUAAAACkbw4H1rfeektRUVE2Y4cOHVKjRo00Z84cpxUGAAAASI8QWEuUKKHWrVvrwoULunPnjiZOnKimTZsqc+bMWrFiRWrUCAAAgHTM4TWsEydO1EcffaTWrVsrY8aMOn/+vPr376/mzZunRn0AAABI5xzew+ru7q5x48YpODhYkZGRmjt3LmEVAAAAqcauPax9+vRJNmYymeTh4aGePXsqNDTUOj5q1CjnVQcAAIB0z67Aeu7cuRTHS5cu/cD7AQAAgMdlV2BdsGDBA+9PSEiwnuIKAAAAcCaH17DGx8erT58+mjVrlnWsdu3aGjBggBISEpxaHAAAAOBwYB01apR27typ4OBg61ifPn20fft2TZw40anFAQAAAA4H1g0bNmjMmDEqX768daxmzZoaMWKEIiIinFocAAAA4HBgvXnzpvz8/JKNBwQEKCYmxilFAQAAAEkcDqxlypTRnDlzZDabrWMWi0Xz589XyZIlnVocAAAA4PCVrrp376633npL27dvV4kSJSRJBw8e1LVr1zR37lynFwgAAID0zeE9rKVKldJ3332nunXrKiEhQWazWfXq1dOaNWus52UFAAAAnMXhPaySlDdvXvXs2dPZtQAAAADJ2H1p1n79+snX1zfFy7T+G5dmBQAAgDPZfWnWpIOsuAwrAAAAniSHL836sMu0AgAAAM5k9xrW/fv3KyIiQl5eXnrllVdUvHjx1KwLAAAAkGRnYN2wYYO6deumjBkzSpLmzJmjkSNHqkGDBqlaHAAAAGDXaa1mzZqlxo0ba/v27dq5c6datGihKVOmpHZtAAAAgH2B9cSJE3rnnXeUIUMGubm5qXPnzoqKiuJSrAAAAEh1dgXW27dvK1OmTNbbWbNmlaenp27cuJFqhQEAAACSnYHVYrHIZDLZPtDNTRaLJVWKAgAAAJLYfWnW/wZWAAAA4Emw+7RWw4cPl5eXl/X2nTt3NHbsWJulAhJXugIAAIBz2RVYy5Urp+joaJux4OBgXb16VVevXk2VwgAAAADpEa50BQAAADxJdq9hBQAAANICgRUAAACGRmAFAACAoRFYAQAAYGgOB9Y+ffooNjY22fi1a9fUqVMnpxQFAAAAJLHrLAG7du3S2bNnJUkrV65U8eLF5evra7NNZGSktm7d6vwKAQAAkK7ZFVhNJpN69+5t/ffw4cOTbePj46MOHTo4tzoAAACke3YF1gIFCujIkSOSpBdeeEG//fabsmXLlqqFAQAAAJKda1hr1aql8+fPS5IaNWpkc4lWAAAAIDXZtYc1MTFRW7Zs0YsvvqiVK1fqzTffVNasWVPcNnfu3E4tEAAAAOmbXYG1QYMGGjBggEwmkyTpjTfeSLaNxWKRyWTS4cOH7X7yixcvasSIEdq2bZu8vLxUp04d9ejRQ15eXjp79qwGDBigPXv2KHfu3Orbt68qV65s99wAAABwDXYF1kGDBql58+aKiYlRmzZtNHXqVGXJkuWxnthisahbt27y8/PTokWLFBMTo759+8rNzU0ff/yxOnfurCJFimjZsmXasGGDunTpoh9++IE9uAAAAOmMXYFVkoKCgiRJo0aNUtWqVeXp6flYT3zy5Ent2bNHv/32m7Jnzy5J6tatm0aPHq2XXnpJZ8+e1eLFi+Xj46PChQtr69atWrZsmbp27fpYzwsAAICni92BNUmjRo105MgRHTt2TGazWdK9vaUJCQnav39/iqe8SklgYKDmzJljDatJYmNjtXfvXhUrVkw+Pj7W8ZCQEO3Zs8fRcgEAAPCUcziwzps3T6NHj5Z075ysFovF+u/Q0FC75/Hz81OVKlWst81msxYuXKgKFSooOjpaOXLksNk+W7ZsunDhgkO1urmZ5OZmcugx6ZG7u5vN33j60VPXRF9dDz11TfTV+RwOrIsWLdI777yjLl26KDw8XCtWrNC1a9fUs2dPVa9e/ZELGTt2rA4dOqSlS5fqyy+/TLbkwNPTUwkJCQ7NGRCQyXqgGB7Oz887rUuAk9FT10RfXQ89dU301XkcDqwXLlxQkyZN5OXlpRdeeEH79+9XjRo11Lt3b3366adq27atw0WMHTtW8+fP18SJE1WkSBF5eXnp2rVrNtskJCQoY8aMDs175cpN9rDawd3dTX5+3rp+PU6Jiea0LgdOQE9dE311PfTUNdFXx2TNmumh2zgcWH18fJSYmChJypcvn06cOKEaNWqocOHC+vvvvx0uctiwYfrmm280duxY1apVS5KUM2dOnThxwma7S5cuJVsm8DBms0Vms8XhmtKrxESz7t7lheVK6Klroq+uh566JvrqPA4vrihbtqxmz56tuLg4FStWTD/99JPMZrN27dqlTJkenpD/bdq0aVq8eLEmTJigunXrWsdLly6tgwcP6vbt29axXbt2qXTp0o6WCwAAgKecw4G1R48e2rx5sxYtWqS6devq0qVLKl++vD755BM1btzY7nkiIyM1Y8YMvfPOOwoJCVF0dLT1T/ny5ZUrVy716dNHx48f1+zZs7Vv374UL1gAAAAA12ayJB3mb6ebN2/K3d1dt27dUkBAgC5duqTVq1frmWeeUe3ate2eZ/bs2Ro/fnyK9x09elSnT59Wv379tHfvXuXPn199+/bViy++6Eipio6+4dD26ZWHh5uyZs2kq1dv8tGFi6Cnrom+uh566proq2MCAzM/dBuHA2vNmjU1adIkFS9e/JELe1IIrPbhheV66Klroq+uh566JvrqGHsCq8NLAuLi4hw+Wh8AAAB4VA6fJaBNmzbq2rWrWrVqpXz58iULr+XKlXNacQAAAIDDgXXChAmS7p2O6r9MJpMOHz78+FUBAAAA/8fhwLpx48bUqAMAAABIkcOBNU+ePKlRBwAAAJAiuwNrYmKiVqxYoYiICB05ckQ3btyQn5+fihYtqvr166t+/foymbgMKgAAAJzLrsAaFxend999Vzt27FBISIheffVVZc6cWbGxsTp48KA++eQTrVy5UrNmzZKnp2dq1wwAAIB0xK7AOmPGDJ06dUpLly5N8fyrBw4cUNeuXbVw4UK1b9/e6UUCAAAg/bLrPKzr1q1T796973uxgBIlSqhHjx5asWKFU4sDAAAA7AqsFy5cUKlSpR64TenSpXXmzBmnFAUAAAAksSuwJiQkyMfH54Hb+Pj4KCEhwSlFAQAAAEkcvjQrAAAA8CTZfVqrNWvWyNfX977337hxwykFAQAAAP9md2AdPnz4Q7fhPKwAAABwNrsC65EjR1K7DgAAACBFrGEFAACAoRFYAQAAYGgEVgAAABgagRUAAACGZldgfemll3Tx4kVJ0rRp0xQXF5eqRQEAAABJ7AqsMTExOnr0qCRp+vTpBFYAAAA8MXad1qpq1arq2LGjTCaTLBaLKlWqdN9tDx8+7LTiAAAAALsC6/jx47V582bFxMSoT58+6tOnjzJnzpzatQEAAAD2BdYMGTKoWrVqkqS///5bTZo0kbe3d6oWBgAAAEgOXJo1SZcuXXT+/HlNnz5dx44dk4eHh55//nk1bdpUefLkSY0aAQAAkI45fFqro0ePqn79+lq1apUyZMggi8Wi5cuXq0GDBjp+/Hhq1AgAAIB0zOE9rGPGjFFYWJjGjx8vLy8vSVJ8fLx69eqlcePGadasWU4vEgAAAOmXw3tY//zzT3Xt2tUaViXJy8tLnTt31q5du5xaHAAAAOBwYM2UKZPu3LmTbDylMQAAAOBxORxYK1SooDFjxujatWvWsStXrmjs2LGqWLGiM2sDAAAAHF/D2qtXLzVv3lzh4eEqUKCAJOmvv/6Sv7+/Ro4c6ez6AAAAkM45HFifeeYZRUREaNWqVTp+/LgsFouaNm2q1157Tb6+vqlRIwAAANIxhwOrdG8da8uWLZ1dCwAAAJCMw2tYAQAAgCeJwAoAAABDI7ACAADA0BwOrMOHD9eZM2dSoxYAAAAgGYcD64oVK+Tmxo5ZAAAAPBkOJ8+qVatq4cKFunnzZmrUAwAAANhw+LRW0dHR+uGHHzR//nxly5ZNXl5eNvdv3LjRacUBAAAADgfWsLAwhYWFpUYtAAAAQDIOB9YuXbqkRh0AAABAih7p6KkjR46oT58+at68uS5evKhFixbpjz/+cHZtAAAAgOOB9cCBA2rSpInOnTunAwcOKCEhQYcPH1b79u31yy+/pEaNAAAASMccDqzjxo1T+/bttWDBAmXIkEHSvXOztmrVSlOnTnV6gQAAAEjfHmkPa8OGDZONt2rVSpGRkc6oCQAAALByOLBmyJBBsbGxycbPnz8vb2/vRyoiISFB9erV0/bt261jw4cPV1BQkM2fhQsXPtL8AAAAeHo5fJaAGjVqaNKkSZo4caJ1LDIyUiNGjNDLL7/scAHx8fHq2bOnjh8/bjMeGRmpnj17qlGjRtYxX19fh+cHAADA083hPayffPKJbt68qQoVKiguLk6NGzdWvXr15O7uro8//tihuU6cOKGmTZvqzJkzye6LjIxUsWLFFBgYaP3zqHtwAQAA8PRyeA+rr6+vFi9erK1bt+rQoUMym80qUqSIqlSpIjc3x/LvH3/8obCwMHXv3l1lypSxjsfGxurixYsqUKCAo+UBAADAxTgcWJM8++yzunXrljw9PfXcc885HFYlqWXLlimOR0ZGymQyaebMmfr111/l7++vdu3a2SwPsIebm0lubiaH60pv3N3dbP7G04+euib66nroqWuir87ncGCNiYlR37599dNPP8lisUiS3Nzc1LBhQw0aNEheXl6PXdTJkydlMplUqFAhvfnmm9qxY4cGDBggX19f1axZ0+55AgIyyWQisNrLz48lF66Gnrom+up66Klroq/O43BgHT58uCIjI/XFF1+oVKlSMpvN2rlzp4YPH67Ro0dr4MCBj11Uw4YNFR4eLn9/f0nSCy+8oL/++kvffPONQ4H1ypWb7GG1g7u7m/z8vHX9epwSE81pXQ6cgJ66Jvrqeuipa6KvjsmaNdNDt3E4sP7000+aNWuWQkNDrWPVqlWTl5eXevTo4ZTAajKZrGE1SaFChbRt2zaH5jGbLTKbLY9dT3qRmGjW3bu8sFwJPXVN9NX10FPXRF+d55HOw5rS6aUCAgJkNjunKZMnT1bbtm1txo4cOaJChQo5ZX4AAAA8PRwOrG3atNHIkSN15coV69itW7c0ceLE+x5E5ajw8HDt2LFDX3zxhc6cOaOvv/5aK1euVPv27Z0yPwAAAJ4edi0JqFatms3BS3///beqVaum/Pnzy93dXadOnVJ8fLxiYmKcUlSpUqU0efJkTZkyRZMnT1aePHk0fvx4BQcHO2V+AAAAPD3sCqyNGjVK9aPtjx49anO7Ro0aqlGjRqo+JwAAAIzPrsDatWvX1K4DAAAASNEjXThg06ZNOnbsmBISEmzGTSaTOnfu7JTCAAAAAOkRAuvQoUP19ddfK1u2bMkuEkBgBQAAgLM5HFgjIiI0ePBgNW/ePDXqAQAAAGw4fForDw8PhYWFpUYtAAAAQDIOB9aWLVtq5syZydavAgAAAKnB4SUBr776qlq0aKGQkBAFBgYmO93Vxo0bnVYcAAAA4HBg/eijj+Tn56fXX39dPj4+qVETAAAAYOVwYD1+/LiWLl2qIkWKpEY9AAAAgA2H17AWLlxY169fT41aAAAAgGQc3sP6zjvvqG/fvurQoYPy5csnDw/bKcqVK+e04gAAAACHA2uPHj0kSYMGDUp2n8lk0uHDhx+/KgAAAOD/OBxYOQsAAAAAniSHA2uePHlSow4AAAAgRQ4H1jZt2jzw/q+++uqRiwEAAAD+67H3sN69e1enT5/WsWPH9NZbbzmtMAAAAEB6hMA6atSoFMenT5+uCxcuPHZBAAAAwL85fB7W+2nQoIHWrFnjrOkAAAAASU4MrLt375a7u7uzpgMAAAAkOemgq9jYWB09elQtW7Z0SlEAAABAEqec1ipDhgx68803Vb9+facUBQAAACRx2kFXAAAAQGqwK7BGRUXZPWHu3LkfuRgAAADgv+wKrNWqVZPJZHrodiaTSYcOHXrsogAAAIAkdgXWB1296tq1axo3bpzOnDmjmjVrOq0wAAAAQLIzsJYvXz7F8Y0bN2ro0KG6e/euxo8fr7p16zq1OAAAAMDhg64k6fr16xo2bJhWr16t6tWra8iQIcqWLZuzawMAAAAcD6w///yzBg4cqISEBI0ZM0avvfZaatQFAAAASHIgsN64cUPDhg3Td999p2rVqmno0KHKnj17atYGAAAA2BdYN23apIEDByo+Pl5jxozhAgEAAAB4YkwWi8XysI1eeOEFSVKWLFnk6+v7wG03btzonMqcIDr6RlqX8FTw8HBT1qyZdPXqTd29a07rcuAE9NQ10VfXQ09dE311TGBg5oduY9ce1s6dO9t1HlYAAADA2ewKrF27dk3tOgAAAIAUuaV1AQAAAMCDEFgBAABgaARWAAAAGBqBFQAAAIZGYAUAAICh2XWWgBdeeMHu01odPnz4sQoCAAAA/s2uwDpy5EjOwwoAAIA0YVdgbdy4cWrXAQAAAKTIrsD6Xxs3btSxY8eUmJhoHUtISND+/fs1b948pxUHAAAAOBxYx40bpzlz5ih79uy6fPmycubMqUuXLikxMVF169ZNjRoBAACQjjl8loDvv/9effv21ZYtW5QjRw59/fXX2rJli8qWLau8efOmRo0AAABIxxwOrJcvX1a1atUkSUFBQdq3b5/8/f3VvXt3/fDDD04vEAAAAOmbw4HVz89Pt27dkiTly5dPJ06ckCTlzp1bFy9efKQiEhISVK9ePW3fvt06dvbsWbVt21ZlypRRnTp1tGXLlkeaGwAAAE83hwNrWFiYxo0bp4sXL6p06dJau3atrly5onXr1ikgIMDhAuLj49WjRw8dP37cOmaxWNS5c2dlz55dy5YtU4MGDdSlSxdFRUU5PD8AAACebg4H1o8++kj//POP1qxZo1q1asnT01OVKlXSmDFj1KZNG4fmOnHihJo2baozZ87YjG/btk1nz57V0KFDVbhwYb377rsqU6aMli1b5mi5AAAAeMo5fJaA3Llza+XKlYqPj5enp6cWLVqkLVu2KGfOnCpZsqRDc/3xxx8KCwtT9+7dVaZMGev43r17VaxYMfn4+FjHQkJCtGfPHkfLBQAAwFPO4T2s1atX17Vr1+Tl5SVJ8vb2Vs2aNZUzZ05VqFDBoblatmypvn37ytvb22Y8OjpaOXLksBnLli2bLly44Gi5AAAAeMrZtYf1hx9+0ObNmyVJf//9t4YOHWoNrEn+/vtvp12+NS4uTp6enjZjnp6eSkhIcGgeNzeT3Ny4pOzDuLu72fyNpx89dU301fXQU9dEX53PrsAaHBysxYsXy2KxSJKioqKUIUMG6/0mk0k+Pj4aPXq0U4ry8vLStWvXbMYSEhKUMWNGh+YJCMjktBCdHvj5eT98IzxV6Klroq+uh566JvrqPHYF1ly5cumrr76SJLVu3VrTpk1TlixZUq2onDlzWk+XleTSpUvJlgk8zJUrN9nDagd3dzf5+Xnr+vU4JSaa07ocOAE9dU301fXQU9dEXx2TNWumh27j8EFXCxYskCRFRkbq2LFjypAhgwoXLqyCBQs6XuF9lC5dWrNnz9bt27ete1V37dqlkJAQh+Yxmy0ymy1Oq8vVJSaadfcuLyxXQk9dE311PfTUNdFX53E4sCYkJKhHjx7asGGDdcxkMik8PFyTJk1Ktvb0UZQvX165cuVSnz591KlTJ/3888/at2+fRo0a9dhzAwAA4Oni8GrgCRMmaN++fZo+fbp27Nih7du3a+rUqTp06JCmTp3qlKLc3d01Y8YMRUdHq3Hjxvruu+80ffp05c6d2ynzAwAA4OlhsiQdSWWnypUra9iwYQoPD7cZ//nnnzVkyBBt2rTJmfU9lujoG2ldwlPBw8NNWbNm0tWrN/nowkXQU9dEX10PPXVN9NUxgYGZH7qNw3tYb968qUKFCiUbL1iwoK5cueLodAAAAMADORxYixQporVr1yYbX7NmjVMPvAIAAACkRzjo6v3331enTp10+PBhlS1bVtK9I/jXr1+v8ePHO71AAAAApG92BdaiRYtqy5YtypYtm15++WVNnjxZn3/+uTZt2iSLxaKgoCBNmjRJr7zySmrXCwAAgHTGrsD63+OyatasqZo1a6ZKQQAAAMC/ObwkAPcXvHpEWpeQLu2u1y+tSwAAAKnI7sC6Zs0a+fr6PnS7hg0bPk49AAAAgA27A+vw4cMfuo3JZCKwAgAAwKnsDqy//fabsmXLlpq1AAAAAMnYdR5Wk8mU2nUAAAAAKbIrsDp49VYAAADAaewKrI0aNZKXl1dq1wIAAAAkY9ca1lGjRqV2HQAAAECK7NrDCgAAAKQVAisAAAAMjcAKAAAAQyOwAgAAwNAIrAAAADA0AisAAAAMjcAKAAAAQyOwAgAAwNAIrAAAADA0AisAAAAMjcAKAAAAQyOwAgAAwNAIrAAAADA0AisAAAAMjcAKAAAAQyOwAgAAwNAIrAAAADA0AisAAAAMjcAKAAAAQyOwAgAAwNAIrAAAADA0AisAAAAMjcAKAAAAQyOwAgAAwNAIrAAAADA0AisAAAAMjcAKAAAAQ/NI6wIAI7v6kX9al/DIotO6gMeQdey1VJ1/7MhfUnV+pOyjvlVTbe7EqjNTbe7UlCjpQloX8Rjcf3kvrUtAOsEeVgAAABgagRUAAACGRmAFAACAoRFYAQAAYGgEVgAAABiaoQPr+vXrFRQUZPOnW7duaV0WAAAAniBDn9bqxIkTCg8P17Bhw6xjXl5eaVgRAAAAnjRDB9bIyEgVKVJEgYGBaV0KAAAA0oihlwRERkaqQIECaV0GAAAA0pBhA6vFYtGpU6e0ZcsW1apVSzVq1NC4ceOUkJCQ1qUBAADgCTLskoCoqCjFxcXJ09NTkyZN0rlz5zR8+HDdvn1b/fv3t2sONzeT3NxMqVwp0pqHh2F/78IjoqeuKTX7mphqM+NBeK2mzN3dzeZvPD7DBtY8efJo+/btypIli0wmk4oWLSqz2ayPPvpIffr0kbu7+0PnCAjIJJOJwOrqsmbNlGpzR6fazHiQ1Owp0k5q9vVCqs2MB0nt1+q73+RP1fmRslktTqd1CckYNrBKkr+/v83twoULKz4+XjExMQoICHjo469cucke1nTg6tWbaV0CnIyeuib66nroqWt60n215xcfwwbWzZs3q1evXtq0aZO8vb0lSYcPH5a/v79dYVWSzGaLzGZLapYJA7h715zWJcDJ6Klroq+uh566JiP21bCLK4KDg+Xl5aX+/fvr5MmT+uWXXzRmzBi9/fbbaV0aAAAAniDD7mH19fXVF198oZEjR+r1119XpkyZ1Lx5cwIrAABAOmPYwCpJzz//vObNm5fWZQAAACANGXZJAAAAACARWAEAAGBwBFYAAAAYGoEVAAAAhkZgBQAAgKERWAEAAGBoBFYAAAAYGoEVAAAAhkZgBQAAgKERWAEAAGBoBFYAAAAYGoEVAAAAhkZgBQAAgKERWAEAAGBoBFYAAAAYGoEVAAAAhkZgBQAAgKERWAEAAGBoBFYAAAAYGoEVAAAAhkZgBQAAgKERWAEAAGBoBFYAAAAYGoEVAAAAhkZgBQAAgKERWAEAAGBoBFYAAAAYGoEVAAAAhkZgBQAAgKERWAEAAGBoBFYAAAAYGoEVAAAAhkZgBQAAgKERWAEAAGBoBFYAAAAYGoEVAAAAhkZgBQAAgKERWAEAAGBoBFYAAAAYGoEVAAAAhkZgBQAAgKERWAEAAGBoBFYAAAAYGoEVAAAAhkZgBQAAgKERWAEAAGBohg6s8fHx6tu3r0JDQ1W5cmXNnTs3rUsCAADAE+aR1gU8yJgxY3TgwAHNnz9fUVFR+uSTT5Q7d27Vrl07rUsDAADAE2LYwHrr1i0tWbJEn3/+uYoXL67ixYvr+PHjWrRoEYEVAAAgHTHskoAjR47o7t27Cg4Oto6FhIRo7969MpvNaVgZAAAAniTD7mGNjo5W1qxZ5enpaR3Lnj274uPjde3aNQUEBDx0Djc3k9zcTKlZJgzAw8Owv3fhEdFT15SafU1MtZnxILxWXZMR+2rYwBoXF2cTViVZbyckJNg1R7Zsvk6v60HOtfv0iT4fUl/WL/kx6IrGTKyX1iXA2Q59lNYVIBXManE6rUuAQRgvQv8fLy+vZME06XbGjBnToiQAAACkAcMG1pw5c+rq1au6e/eudSw6OloZM2aUn59fGlYGAACAJ8mwgbVo0aLy8PDQnj17rGO7du1SyZIl5eZm2LIBAADgZIZNft7e3mrYsKEGDx6sffv2acOGDZo7d67atGmT1qUBAADgCTJZLBZLWhdxP3FxcRo8eLB+/PFH+fr6qkOHDmrbtm1alwUAAIAnyNCBFQAAADDskgAAAABAIrACAADA4AisAAAAMDQCq4H8888/GjBggCpXrqxSpUqpbt26+uKLL2zORbt8+XJVq1btvnP07t1bvXv3fuQaVq9erUaNGqlkyZIKCwvTBx98oNOn//+VRhISEvS///3P7vnOnj2rX3755ZHredp17NhRffr0sRlbvXq1goKCNHXqVJvxGTNmqEGDBgoKCtL27dufZJl2a926dbK6IQUFBSkoKEhRUVHJ7vvmm29s+m3va/Rh21WrVk3Lly9/9KLhkOXLlysoKEhLliyxGXekD0Z+bbuK3r17W1+PKf0x0te/WrVqCg8P1/0OJVq2bJmqVq2qsLAwzZkzJ9n9jrzvuAICq0GcP39eTZo00blz5zRp0iRFRESoc+fOWrRokd5//32ZzWa75unXr5/69ev3SDVs2LBBgwYNUocOHfTDDz9o7ty5SkxM1JtvvqnY2FhJUkREhGbOnGn3nH379tW+ffseqR5XEBoaqv3799uMbd++XTly5Ej2xrlnzx6VL19eW7ZsUXBw8JMs025Tp05V+/bt07oMQ8qQIYN++umnZOMbNmyQyWSy3n6c1+i/LV26VHXq1HnseWCfiIgI5cuXT6tWrUrrUvAA/fr105YtW7Rlyxb17dtXzzzzjPW2kd5bd+/erdu3bysmJibFEB0ZGalBgwZpyJAhGjNmjCZMmKBDhw4l287e9x1XQGA1iGHDhilv3ryaM2eOQkNDlTdvXtWpU0cLFy7Uzp079c0339g1T+bMmZU5c+ZHqmHlypVq3Lix6tWrp7x586p48eIaP368YmNjrXtJOamEY0JCQhQZGambN29ax7Zv364OHTpoz549un37tnV87969Kl++vAIDA+Xp6ZkW5T6Uv7+/MmXKlNZlGFJoaGiyHxyxsbHavXu3ihUrZh17nNfovwUEBHCZ6ifk8uXL2rp1qzp37qydO3fq7NmzaV0S7iNz5swKDAxUYGCgMmfOLHd3d+ttI723RkREKDQ0VGFhYVq5cmWy+0+ePClvb2+99NJLeumll+Tj45Pi95297zuugMBqAJcuXdJPP/2kd955R+7u7jb35c6dW40bN7b5GN5isWjq1KkKCwtTaGioRo8ebb3vvx8j/vzzz2rUqJFKlSqlOnXq6Mcff7xvHW5ubtq7d69NuPLy8tLKlStVtWpVbd++XX369NHff/+toKAgnTt3TrGxserTp48qVqyoEiVKqHbt2tqwYYO1lj/++EPTpk1T69atJd3bk/zee++pdOnSqlatmqZNm6bExMTH+wIaWMmSJZUhQwYdPHhQknThwgVFRUWpSZMmypw5s/78809J0qlTpxQTE6PQ0FCbj622bt2qBg0aqGTJkqpevboWL15snfvy5cv68MMPVbZsWVWqVEkTJkyw/kJx4cIFffDBBypfvrzCwsI0fPhwJSQkSLr30Wbr1q01ZcoU6/fQqFGjrI+NiopS+/btFRwcrIoVK2rYsGG6c+eOJNslAb1799aoUaP04YcfqnTp0qpatWqKb7zpRfXq1fXHH39YP42QpE2bNik0NNQm5P/3Nbpq1SrVrl1bpUuXVvPmzW32osTGxqp79+4qXbq0Xn75ZX3//ffW+/79UbTZbNa4ceMUFhamsLAwzZgxQzVr1rR+H504cUIdOnRQcHCwSpYsqZYtWyoyMlLSvV+gqlWrpq+//lpVqlRRmTJl9NFHH1m/XyCtXbtWmTNnVv369ZUjR4777mV90Pthkh07duiVV15R6dKl9cEHHygmJsZ638aNG9WwYUOVLFlSoaGh6tGjh/X9eOrUqfr44481bNgwBQcHq1q1atqyZYsWLlyoF198URUqVNBXX31lnetBPU/PHvQz6KOPPlLt2rWt73fLli1TSEiIzp8/L0lasmSJateurRIlSigsLExDhgyxPvZB75v/ZTabtXbtWoWGhio8PFzr1q3TrVu3bLYpXbq0bt++ra+++koLFy6Uu7u7KlSokGwue993XAGB1QAOHjwoi8WikiVLpnh/SEiIjhw5Yv0BEhUVpVOnTmnx4sUaOnSo5s2bp19//TXZ47Zu3aquXbuqQYMGWrVqlZo0aaLu3bvrwIEDKT5Py5YtdeDAAb300kvq3r27lixZoosXLyp//vzy9fVVcHCwzUcsuXLl0ogRI3Tq1CnNnTtXq1evVmhoqPr166eEhAT169dPwcHBat++vaZOnSqLxaIuXbooW7ZsWrFihUaNGqXvv//eoSUGTxtPT0+VLl3auixi27ZtKlGihDJlyqRy5cpZA8WePXv0/PPPK2vWrNbHJiYm6sMPP1Tt2rW1Zs0affDBBxoyZIhOnDghSercubOio6O1cOFCTZo0ScuXL9eiRYuUkJCgt956S3FxcVqwYIEmTZqkTZs2acyYMda5d+/erVOnTumbb77RgAED9NVXX+n333+XdG9vv4+Pj1auXKnp06dr3bp19123vGjRIhUvXlyrV6/WK6+8okGDBunGjRup8rU0uiJFiihnzpw2r8X169erRo0a933M5s2b1a9fP7311lv67rvvVKJECb377rvW1/r69eutX99XX31Vffv2TfHrO2vWLK1cuVLjx4/XvHnztGnTJuveGLPZrPfee0958uTRqlWrtHjxYiUmJmrs2LHWx//zzz9at26d5syZo6lTp+rHH39M1798/FdERIRefvllubm5qVq1alq5cmWKnzY96P0wyaJFi9SvXz8tWrRIp06d0qhRoyRJZ86c0QcffKCWLVtqzZo1mjRpkn7//Xeb194PP/ygzJkza9WqVSpVqpQ+/PBDbdmyRQsWLFDr1q01evRoXblyxa6ep0cP+xnUp08fXb16VQsWLNDly5c1ZswYffzxx8qVK5f++OMPDR8+XD169NDatWs1ZMgQLV26VBs3bpTk2Pvm9u3bFR0drfDwcIWHh+v27dvJdiblyJFD7du316effqovv/xS8+bNU5YsWZLN9SjvO08rAqsBJP2G7efnl+L9SePXrl2TdG/NyvDhw1WwYEHVqVNHL7zwgo4cOZLscYsWLVKtWrXUtm1bFSxYUO3atdMrr7yiuXPnpvg8FSpU0KJFi1ShQgX99NNP6t+/v8LDwzV06FCZzWZ5enrafMTi7u6ucuXKaejQoSpatKgKFCig9u3b69q1a7p8+bIyZ86sDBkyyMfHR/7+/tq2bZuioqI0bNgwFSpUSGFhYfrkk09s9gq4otDQUGtg3b59u8LCwiRJ5cuXtwms5cuXt3ncjRs3dO3aNWXPnl3PPvus6tevr3nz5ikwMFBHjhzR7t279emnn6pYsWIqV66cBg8eLD8/P23evFkXL17U2LFjFRQUpIoVK2rgwIH65ptvrHtrEhMTrX1o0KCBXnjhBeta27///luZM2dW7ty5VbZsWc2ePVtVq1ZN8f8WFBSkd955R3nz5tUHH3yg27dv6/jx46nydXwaVK9e3frxXEJCgn777TdVr179vtt/++23qlevnlq0aKH8+fPr448/Vr169azvCcHBwXr77beVN29ederUSQkJCTp58mSyeb7++mt9+OGHqly5sooVK6ZPP/3UGqhu376t5s2bq3fv3sqXL5+KFy+uRo0aWX/xkaQ7d+6of//+CgoKUpUqVVSlSpVka6/Tq/Pnz+vPP/+0BoBXXnlFZ8+e1a5du5Jt+6D3wyRdunRR1apVVaJECfXv31/ff/+9YmNjZTab1b9/fzVt2lTPPvusKleurBdffNHm9ZQ1a1Z98MEHypcvnxo1aqQbN26oX79+Kly4sDp06KC7d+/q9OnTdvU8PXrYz6CAgAD16dNHM2bMUN++fVW0aFE1a9ZMkuTj46MRI0bolVde0bPPPqvatWurWLFi1v448r6ZdOBt3rx5FRgYqDJlymjFihU22yxdulRfffWV8ufPL4vForx58yohIcHmIOwkjr7vPK080roAyPpb06VLl/TMM88ku/+ff/6RdG/9oCRly5ZNPj4+1vszZ86c4sd3kZGRat68uc1YcHCwli1bdt9agoODNX36dMXHx+uPP/7QypUrtWjRIuXLly/Fy+I2bNhQGzZs0P/+9z+dPHnS+tF3Sh/zR0ZG6tq1awoJCbGOmc1m3b59W1evXrXZu+hKQkNDrXurtm/frmHDhkm6F1g//fRTJSQkaM+ePXr//fdtHufv768WLVqof//+mjFjhsLDw/X6668rS5Ys+v333+Xv76+8efNat0/6gTp79mwVKFDA5rfxsmXL6u7duzpz5oyke99Dvr6+1vt9fX2tb4Rvv/22+vbtq/Xr1+ull15SnTp17rsWqkCBAjZzSErxDTW9qF69urp166a7d+9q69atKlKkiLJly3bf7U+dOmXzGvX09NQnn3xivf3v/iate42Pj7eZ48qVK/rnn39sPqEpVKiQtf8+Pj5q0aKFVq5cqQMHDujkyZM6dOiQsmfPbjNP/vz5rf/+9/dDehcRESEvLy9VrlxZ0r3XbZYsWbRixQqFhobabGvP++G/+1SsWDHr67JYsWLy9PTUZ599puPHj+v48eM6ceKEGjRoYN3+2WeftR5Ik7R+OU+ePDa3ExIS7O55emPPz6CGDRtq2bJl2rx5s9atW2fdrkSJEsqYMaOmTJmiEydO6OjRozp9+rT1+8Le982EhAStX79eb775pnXslVde0ejRoxUVFaXcuXNr9+7dGjx4sKZPn66SJUuqYcOGGjBggEqXLq0FCxYkW7Pq6PvO04rAagAlS5aUu7u7Dhw4kGJgPXDggIKCgqyLxf+7zlVK+WAoLy+vZGNmsznFMw7cvHlT48ePV8eOHfXMM8/Iy8vLuqfFbDbr999/TzGwfvzxx9q9e7caNGigFi1aKDAw0Pob6X/dvXtXhQoV0owZM5Ld54yDUIwqODhY//zzj/bv369//vlHZcuWlSQ9//zzypw5s3bs2KETJ04k28MqSYMHD1arVq20YcMGbdiwQd9++61mzJihDBky3Pf5Uup70g/MpL9TOvAg6Xuofv36qlixojZs2KBNmzapW7dueuedd9S9e/dkj0mpjvR8YF7SD8Jdu3Zpw4YNqlmz5gO39/B48FuwPa/1pDn+O550++bNm3rjjTeUNWtWVatWTfXq1dPJkyeTfdLy3++J9NzHf4uIiNDt27dtQk5iYqLWrl2rAQMG2Gxrz/vhv3ua9DXOkCGDjhw5ohYtWqhatWoKDQ1V27ZtNX/+fJvHpvT94uaW/INSe3ue3tjzM+jmzZvW5TQ7d+60/tK4efNmde7cWQ0bNlSVKlXUuXNnDRkyxPp4e983N2/erJiYGH322WfWpQgWi0UWi0WrVq3S+++/rzVr1qhSpUrWPbQTJkzQW2+9pS1btqhevXrJanf0fedpxZIAAwgICFCNGjU0Y8aMZHsmz58/r6VLl6pp06YOz1uwYEHt3bvXZmz37t0qWLBgsm0zZsyo77//XmvXrk12X+bMmRUQECBJNqfJiI2N1erVqzVx4kR169ZNNWvWtH6UmdIPu4IFCyoqKkoBAQHKnz+/8ufPr3PnzmnKlCkud/qNf/Px8VHRokX17bffqmTJkvL29pZ072tZrlw5LV++XAUKFLB+jZNER0dryJAhyp8/v95//30tW7bMulwjf/78unbtmvVgAEn66quv1KlTJxUsWFB//fWXdQmJdG/JgYeHh/Lly/fQeidOnKjLly+rRYsWmjVrlj788MMHHqyH/8/Dw0NVq1bVTz/9pJ9//vmh68jy589vs5wnMTFR1apVS/Hj5vvx8/NTjhw5rHvzpHvnP75+/bok6Y8//tA///yjr776Sm+//bZefPFFRUVFEUjtcOrUKR06dEj9+/fXypUrrX8mTpyo2NhYrV+/3rqtve+Hx44ds/573759ypAhg5599lmtWrVK5cqV0/jx49WyZUuVKlVKp0+ffqQ+0fOU2fMzaNKkSfL391f//v316aef6sqVK5LuHXD1+uuva+jQoWrSpIkKFy6sM2fOWL+m9r5v/vDDDypUqJBWrVpl/X5K6n3SJ3He3t7W55XufUr3+uuv68aNG9Y9uv/m6PvO04rAahD9+vVTTEyM3nnnHe3cuVNRUVFav3692rRpo/Lly6tly5YOz9m2bVutW7dO8+fP119//aUvv/xS69evV4sWLZJt6+7urvfee08TJkzQ7NmzdfLkSR07dkxffvmlvv/+e+vHF97e3oqJidFff/0lT09PeXt768cff9S5c+e0efNmDR06VJKsSxR8fHz0119/6fLly6pcubLy5Mmjjz76SEePHtXOnTs1YMAAeXt7p7gnyZWUK1dOERERyfaili9fXhs3blS5cuWSPSZLlixav369Ro4cqTNnzmjHjh06cuSIihUrpueff14VKlRQv379dPToUW3fvl2zZ89WpUqVVKlSJeXNm1cff/yxjh49qm3btmnYsGGqV6/efddJ/9vJkyc1dOhQHTlyRMePH9cvv/zicqdHSU3Vq1fXkiVLlC1bNpuP9FPSunVrfffdd1qxYoVOnz5tPVtD8eLFHXrOpLM+bN26VUeOHLFerMJkMsnf31+3bt3Shg0bdO7cOS1ZssR6cB4eLCIiQv7+/mrWrJmKFCli/VOnTh0999xzNgem2fN+KN0LNlu3btWePXs0fPhwNW/eXN7e3vL399fRo0e1b98+nTp1Sp9++qn279//SH2i5yl72M+g/fv36+uvv9bAgQPVvHlzPfvssxo5cqSke1/T3bt36+jRozp+/Lh69+6t6Oho69fUnvfNuLg4/fTTT3rjjTdsvp+KFCmiVq1a6a+//tLu3btVv359HT58WNOmTdPp06f17bff6vvvv1fx4sU1ePDgFNciO/K+87QisBpEzpw59b///U8FCxZUr169VLt2bU2aNEnNmzfXzJkzU/zY52FKly6tMWPG6JtvvlG9evW0bNkyTZo0SRUrVkxx+w4dOmjgwIFat26dXn/9dTVr1kwbN27U559/rhIlSki6d2BW/vz59dprr+no0aMaO3as1q1bp7p16+rTTz/V+++/r8DAQB0+fFiS1KRJE23evFlvv/223N3d9dlnn8lsNqtp06bq2rWrqlatqv79+z/6F+4pERISolu3blkPuEpSvnx5xcXFpbgcwNPTUzNmzNCRI0dUv359ffjhh3rjjTfUpEkTSdLYsWPl7e2tZs2aqWfPnmrWrJlatmwpd3d360deTZs2VY8ePVS9enXrD8+HGTx4sLJnz67WrVuradOmypEjh1NOdJ9eVK5cWXfv3rVrL0e5cuU0aNAgTZ8+3fpDaubMmQ6fX7V9+/aqWbOmunbtqrfeekvh4eEymUzKkCGDgoODrR9f1q9fX8uXL9fAgQN1+fJlXbx48VH/m+lCRESEXnvttRSX0LRo0UK///679Wvo6en50PdDSWrXrp369eundu3aKTg4WL169ZJ075eOMmXKqG3btmrZsqWioqLUuXPnFE8W/zD0PGUP+hl09+5dDRgwQK+99prKli0rNzc3DRo0SBEREdqyZYv17ALNmjVTu3bt5OXlpRYtWlh7a8/75k8//aQ7d+6oYcOGyWqrUaOGAgMDtWLFChUuXFjTp0/XmjVrVLduXS1YsECjR4+2Xr3q6NGjyR7vyPvO08pkSe+fEQDAU+7XX39ViRIlrMtKrly5oooVK2rjxo169tln07g6AM5isVhcegndgxBYAeAp17lzZyUmJqpXr14ymUyaPHmyoqKitHTp0rQuDQCcgiUBAPCUGzhwoNzc3NS8eXM1bdpUZrNZ06dPT+uyAMBp2MMKAAAAQ2MPKwAAAAyNwAoAAABDI7ACAADA0AisAAAAMDQCKwAAAAyNwAoAAABDI7ACAADA0AisAAAAMDQCKwAAAAzt/wG2Rq67Rsc9oQAAAABJRU5ErkJggg=="
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
"text/plain": [
""
],
"image/png": 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"
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
"text/plain": [
""
],
"image/png": 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"
},
"metadata": {}
}
],
"metadata": {}
},
{
"cell_type": "markdown",
"source": [
"This bit of code produces graphs that aren't in the blog. These charts were eventually replaced with a heatmap table from Tableau but contain the same information,\r\n",
"it's just displayed differently."
],
"metadata": {}
},
{
"cell_type": "markdown",
"source": [
"### Top 5 schools by round"
],
"metadata": {}
},
{
"cell_type": "code",
"execution_count": 37,
"source": [
"from itertools import islice\r\n",
"import matplotlib.pyplot as plt; plt.rcdefaults()\r\n",
"import numpy as np\r\n",
"import matplotlib.pyplot as plt\r\n",
"import random\r\n",
"\r\n",
"def take(n, iterable):\r\n",
" # Return first n items of the iterable as a list\r\n",
" return list(islice(iterable, n))\r\n",
"\r\n",
"# variable of all schools in data set for code to loop through\r\n",
"school = data['School'].value_counts().index\r\n",
"\r\n",
"# variable of all rounds in data set\r\n",
"rounds = data['Round'].value_counts().index\r\n",
"\r\n",
"# creating a dictionary to store key value pairs of School and Number of Draft picks by Round\r\n",
"dicts = {}\r\n",
"\r\n",
"# creating list of rounds (7)\r\n",
"round=[]\r\n",
"roundDF=[]\r\n",
"for r in round:\r\n",
" round.append(r)\r\n",
"\r\n",
"# for every round\r\n",
"for j in rounds:\r\n",
" for _ in range (5):\r\n",
" roundDF.append(str(j))\r\n",
" for i in school:\r\n",
" x = data.loc[(data['Round']==j) & (data['School']==str(i))] #create a combination to count (i.e. '1' & 'Alabama')\r\n",
" z=x.count()[0] # Count how many times the above combination ^ (x) is in the data set \r\n",
" dicts.update( {str(i) : z} ) # add school and total to dictionary\r\n",
"\r\n",
" #order the list by value small to large and take the last 5 (the largest 5)\r\n",
" b = {k: v for k, v in sorted(dicts.items(), key=lambda item: item[1])}\r\n",
" rou = list(islice(reversed(b), 0, 5))\r\n",
"\r\n",
" #Create list for number of picks from list above (uni). \r\n",
" # This was easier for me than trying to keep track of the largest 5 during the loop above\r\n",
" top5=[]\r\n",
" for i in rou:\r\n",
" x=dicts[i]\r\n",
" top5.append(x)\r\n",
" \r\n",
"\r\n",
" # Creating a massive color palette for some of our other charts\r\n",
" # everything else in this code is commented above\r\n",
" colors = ['Accent', 'Accent_r', 'Blues', 'Blues_r', 'BrBG', 'BrBG_r', 'BuGn', 'BuGn_r', 'BuPu', 'BuPu_r', \r\n",
" 'CMRmap', 'CMRmap_r', 'Dark2', 'Dark2_r', 'GnBu', 'GnBu_r', 'Greens', 'Greens_r', 'Greys', 'Greys_r', 'OrRd', \r\n",
" 'OrRd_r', 'Oranges', 'Oranges_r', 'PRGn', 'PRGn_r', 'Paired', 'Paired_r', 'Pastel1', \r\n",
" 'Pastel1_r', 'Pastel2', 'Pastel2_r', 'PiYG', 'PiYG_r', 'PuBu', 'PuBuGn', 'PuBuGn_r', \r\n",
" 'PuBu_r', 'PuOr', 'PuOr_r', 'PuRd', 'PuRd_r', 'Purples', 'Purples_r', 'RdBu', 'RdBu_r', \r\n",
" 'RdGy', 'RdGy_r', 'RdPu', 'RdPu_r', 'RdYlBu', 'RdYlBu_r', 'RdYlGn', 'RdYlGn_r', 'Reds', \r\n",
" 'Reds_r', 'Set1', 'Set1_r', 'Set2', 'Set2_r', 'Set3', 'Set3_r', 'Spectral', 'Spectral_r', \r\n",
" 'Wistia', 'Wistia_r', 'YlGn', 'YlGnBu', 'YlGnBu_r', 'YlGn_r', 'YlOrBr', 'YlOrBr_r', 'YlOrRd', \r\n",
" 'YlOrRd_r', 'afmhot', 'afmhot_r', 'autumn', 'autumn_r', 'binary', 'binary_r', 'bone', \r\n",
" 'bone_r', 'brg', 'brg_r', 'bwr', 'bwr_r', 'cividis', 'cividis_r', 'cool', 'cool_r', 'coolwarm', 'coolwarm_r', 'copper', 'copper_r',\r\n",
" 'cubehelix', 'cubehelix_r', 'flag', 'flag_r', 'gist_earth', 'gist_earth_r', 'gist_gray', 'gist_gray_r', 'gist_heat', 'gist_heat_r', 'gist_ncar', 'gist_ncar_r',\r\n",
" 'gist_rainbow', 'gist_rainbow_r', 'gist_stern', 'gist_stern_r', 'gist_yarg', \r\n",
" 'gist_yarg_r', 'gnuplot', 'gnuplot2', 'gnuplot2_r', 'gnuplot_r', 'gray', 'gray_r',\r\n",
" 'hot', 'hot_r', 'hsv', 'hsv_r', 'icefire', 'icefire_r', 'inferno', \r\n",
" 'inferno_r', 'magma', 'magma_r', 'mako', 'mako_r', \r\n",
" 'nipy_spectral', 'nipy_spectral_r', 'ocean', 'ocean_r', 'pink', 'pink_r',\r\n",
" 'plasma', 'plasma_r', 'prism', 'prism_r', 'rainbow', 'rainbow_r',\r\n",
" 'rocket', 'rocket_r', 'seismic', 'seismic_r', 'spring', 'spring_r',\r\n",
" 'summer', 'summer_r', 'tab10', 'tab10_r', 'tab20', 'tab20_r', 'tab20b',\r\n",
" 'tab20b_r', 'tab20c', 'tab20c_r', 'terrain', 'terrain_r', 'twilight',\r\n",
" 'twilight_r', 'twilight_shifted', 'twilight_shifted_r', 'viridis', 'viridis_r', 'vlag', 'vlag_r', 'winter', 'winter_r']\r\n",
" x=random.randint(0,169)\r\n",
" plt.style.use(\"seaborn\")\r\n",
" palettes =sns.color_palette(colors[x], 7),\r\n",
" fig = plt.figure(figsize=(8,6))\r\n",
" axes = fig.add_subplot(1,1,1)\r\n",
"\r\n",
" # Create Graphs\r\n",
" y_pos = np.arange(len(rou))\r\n",
" sns.barplot(y_pos, top5, alpha=1, palette=colors[x])\r\n",
"\r\n",
" plt.xticks(y_pos, rou)\r\n",
" plt.ylabel('Total Number of Draft Picks Since 2000')\r\n",
" plt.title('Top 5 Schools for Round %s' % roundDF[0])\r\n",
" \r\n",
" plt.show()\r\n",
" roundDF=[]"
],
"outputs": [
{
"output_type": "stream",
"name": "stderr",
"text": [
"C:\\Python39\\lib\\site-packages\\seaborn\\_decorators.py:36: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
" warnings.warn(\n"
]
},
{
"output_type": "display_data",
"data": {
"text/plain": [
""
],
"image/png": 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"
},
"metadata": {}
},
{
"output_type": "stream",
"name": "stderr",
"text": [
"C:\\Python39\\lib\\site-packages\\seaborn\\_decorators.py:36: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
" warnings.warn(\n"
]
},
{
"output_type": "display_data",
"data": {
"text/plain": [
""
],
"image/png": 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"
},
"metadata": {}
},
{
"output_type": "stream",
"name": "stderr",
"text": [
"C:\\Python39\\lib\\site-packages\\seaborn\\_decorators.py:36: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
" warnings.warn(\n"
]
},
{
"output_type": "display_data",
"data": {
"text/plain": [
""
],
"image/png": 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"
},
"metadata": {}
},
{
"output_type": "stream",
"name": "stderr",
"text": [
"C:\\Python39\\lib\\site-packages\\seaborn\\_decorators.py:36: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
" warnings.warn(\n"
]
},
{
"output_type": "display_data",
"data": {
"text/plain": [
""
],
"image/png": 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"
},
"metadata": {}
},
{
"output_type": "stream",
"name": "stderr",
"text": [
"C:\\Python39\\lib\\site-packages\\seaborn\\_decorators.py:36: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
" warnings.warn(\n"
]
},
{
"output_type": "display_data",
"data": {
"text/plain": [
""
],
"image/png": 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"
},
"metadata": {}
},
{
"output_type": "stream",
"name": "stderr",
"text": [
"C:\\Python39\\lib\\site-packages\\seaborn\\_decorators.py:36: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
" warnings.warn(\n"
]
},
{
"output_type": "display_data",
"data": {
"text/plain": [
""
],
"image/png": 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"
},
"metadata": {}
},
{
"output_type": "stream",
"name": "stderr",
"text": [
"C:\\Python39\\lib\\site-packages\\seaborn\\_decorators.py:36: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
" warnings.warn(\n"
]
},
{
"output_type": "display_data",
"data": {
"text/plain": [
""
],
"image/png": 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"
},
"metadata": {}
}
],
"metadata": {}
},
{
"cell_type": "markdown",
"source": [
"## This code give us the top positions taken by round since 2000. It's very similar to the other code above, we're jsut exchanging features at this point\r\n"
],
"metadata": {}
},
{
"cell_type": "code",
"execution_count": 24,
"source": [
"from itertools import islice\r\n",
"import matplotlib.pyplot as plt; plt.rcdefaults()\r\n",
"import numpy as np\r\n",
"import matplotlib.pyplot as plt\r\n",
"import seaborn as sns\r\n",
"\r\n",
"def take(n, iterable):\r\n",
" # Return first n items of the iterable as a list\r\n",
" return list(islice(iterable, n))\r\n",
"\r\n",
"cp = 0\r\n",
"# variable of all positions in data set for code to loop through\r\n",
"position = data['Position'].value_counts().index\r\n",
"\r\n",
"# variable of all rounds in data set\r\n",
"rounds = data['Round'].value_counts().index\r\n",
"\r\n",
"# creating a dictionary to store key value pairs of position and Number of Draft picks by Round\r\n",
"dicts = {}\r\n",
"\r\n",
"# creating list of rounds (7)\r\n",
"round=[]\r\n",
"roundDF=[]\r\n",
"for r in round:\r\n",
" round.append(r)\r\n",
"\r\n",
"# for every round\r\n",
"for j in rounds:\r\n",
" #print(str(j))\r\n",
" for r in range (5):\r\n",
" roundDF.append(str(j))\r\n",
" for i in position:\r\n",
" x = data.loc[(data['Round']==j) & (data['Position']==str(i))] #create a combination to count (i.e. '1' & 'Alabama')\r\n",
" z=x.count()[0] # Count how many times the above combination ^ (x) is in the data set \r\n",
" dicts.update( {str(i) : z} ) # add position and total to dictionary\r\n",
"\r\n",
" #order the list by value small to large and take the last 5 (the largest 5)\r\n",
" b = {k: v for k, v in sorted(dicts.items(), key=lambda item: item[1])}\r\n",
" rou = list(islice(reversed(b), 0, 5))\r\n",
"\r\n",
" #Create list for number of picks from list above (uni). \r\n",
" # This was easier for me than trying to keep track of the largest 5 during the loop above\r\n",
" top5=[]\r\n",
" for i in rou:\r\n",
" x=dicts[i]\r\n",
" top5.append(x)\r\n",
" \r\n",
" # Create Graphs\r\n",
"\r\n",
" plt.style.use(\"seaborn\")\r\n",
" palette = [\r\n",
" sns.color_palette(\"winter\", 7),\r\n",
" sns.color_palette(\"viridis_r\", 7),\r\n",
" sns.color_palette(\"inferno\", 7),\r\n",
" sns.color_palette(\"cividis\", 7),\r\n",
" sns.color_palette(\"autumn_r\", 7),\r\n",
" sns.color_palette(\"twilight\", 7),\r\n",
" sns.color_palette(\"gnuplot\", 7),\r\n",
" sns.color_palette(\"gist_stern\", 7),\r\n",
" sns.color_palette(\"Spectral_r\", 7)\r\n",
" ]\r\n",
" fig = plt.figure(figsize=(8,6))\r\n",
" axes = fig.add_subplot(1,1,1)\r\n",
" axes.set_ylim(0, 200)\r\n",
" y_pos = np.arange(len(rou))\r\n",
" plt.bar(y_pos, top5, align='center', alpha=1, color=palette[cp])\r\n",
" \r\n",
" plt.xticks(y_pos, rou)\r\n",
" plt.ylabel('Total Number of Draft Picks Since 2000')\r\n",
" plt.title('Position taken for Round %s' % roundDF[0])\r\n",
" \r\n",
" roundDF=[]\r\n",
" cp+=1\r\n",
"plt.show()"
],
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
""
],
"image/png": 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"
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
"text/plain": [
""
],
"image/png": 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"
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
"text/plain": [
""
],
"image/png": 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"
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
"text/plain": [
""
],
"image/png": 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"
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
"text/plain": [
""
],
"image/png": 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"
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
"text/plain": [
""
],
"image/png": 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"
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
"text/plain": [
""
],
"image/png": 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"
},
"metadata": {}
}
],
"metadata": {}
},
{
"cell_type": "markdown",
"source": [
"## This code totals which positions were taken by each team since 2000 - again most of the code is similar to those above."
],
"metadata": {}
},
{
"cell_type": "code",
"execution_count": 38,
"source": [
"from itertools import islice\r\n",
"import matplotlib.pyplot as plt; plt.rcdefaults()\r\n",
"import numpy as np\r\n",
"import matplotlib.pyplot as plt\r\n",
"import random \r\n",
"import seaborn as sns\r\n",
"\r\n",
"def take(n, iterable):\r\n",
" # Return first n items of the iterable as a list\r\n",
" return list(islice(iterable, n))\r\n",
"\r\n",
"# variable of all positions in data set for code to loop through\r\n",
"position = data['Position'].value_counts().index\r\n",
"\r\n",
"# variable of all rounds in data set\r\n",
"teams = data['Team'].value_counts().index\r\n",
"\r\n",
"# creating a dictionary to store key value pairs of position and Number of Draft picks by Round\r\n",
"dicts = {}\r\n",
"\r\n",
"# creating list of rounds (7)\r\n",
"team=[]\r\n",
"teamDF=[]\r\n",
"for r in teams:\r\n",
" team.append(r)\r\n",
"\r\n",
"# for every round\r\n",
"for j in teams:\r\n",
" #print(str(j))\r\n",
" for t in range (5):\r\n",
" teamDF.append(str(j))\r\n",
" for i in position:\r\n",
" x = data.loc[(data['Team']==str(j)) & (data['Position']==str(i))] #create a combination to count (i.e. '1' & 'Alabama')\r\n",
" z=x.count()[0] # Count how many times the above combination ^ (x) is in the data set \r\n",
" dicts.update( {str(i) : z} ) # add position and total to dictionary\r\n",
"\r\n",
" #order the list by value small to large and take the last 5 (the largest 5)\r\n",
" b = {k: v for k, v in sorted(dicts.items(), key=lambda item: item[1])}\r\n",
" tea = list(islice(reversed(b), 0, 13))\r\n",
"\r\n",
" #Create list for number of picks from list above (uni). \r\n",
" # This was easier for me than trying to keep track of the largest 5 during the loop above\r\n",
" top13=[]\r\n",
" for i in tea:\r\n",
" x=dicts[i]\r\n",
" top13.append(x)\r\n",
" \r\n",
" colors = ['Accent', 'Accent_r', 'Blues', 'Blues_r', 'BrBG', 'BrBG_r', 'BuGn', 'BuGn_r', 'BuPu', 'BuPu_r', \r\n",
" 'CMRmap', 'CMRmap_r', 'Dark2', 'Dark2_r', 'GnBu', 'GnBu_r', 'Greens', 'Greens_r', 'Greys', 'Greys_r', 'OrRd', \r\n",
" 'OrRd_r', 'Oranges', 'Oranges_r', 'PRGn', 'PRGn_r', 'Paired', 'Paired_r', 'Pastel1', \r\n",
" 'Pastel1_r', 'Pastel2', 'Pastel2_r', 'PiYG', 'PiYG_r', 'PuBu', 'PuBuGn', 'PuBuGn_r', \r\n",
" 'PuBu_r', 'PuOr', 'PuOr_r', 'PuRd', 'PuRd_r', 'Purples', 'Purples_r', 'RdBu', 'RdBu_r', \r\n",
" 'RdGy', 'RdGy_r', 'RdPu', 'RdPu_r', 'RdYlBu', 'RdYlBu_r', 'RdYlGn', 'RdYlGn_r', 'Reds', \r\n",
" 'Reds_r', 'Set1', 'Set1_r', 'Set2', 'Set2_r', 'Set3', 'Set3_r', 'Spectral', 'Spectral_r', \r\n",
" 'Wistia', 'Wistia_r', 'YlGn', 'YlGnBu', 'YlGnBu_r', 'YlGn_r', 'YlOrBr', 'YlOrBr_r', 'YlOrRd', \r\n",
" 'YlOrRd_r', 'afmhot', 'afmhot_r', 'autumn', 'autumn_r', 'binary', 'binary_r', 'bone', \r\n",
" 'bone_r', 'brg', 'brg_r', 'bwr', 'bwr_r', 'cividis', 'cividis_r', 'cool', 'cool_r', 'coolwarm', 'coolwarm_r', 'copper', 'copper_r',\r\n",
" 'cubehelix', 'cubehelix_r', 'flag', 'flag_r', 'gist_earth', 'gist_earth_r', 'gist_gray', 'gist_gray_r', 'gist_heat', 'gist_heat_r', 'gist_ncar', 'gist_ncar_r',\r\n",
" 'gist_rainbow', 'gist_rainbow_r', 'gist_stern', 'gist_stern_r', 'gist_yarg', \r\n",
" 'gist_yarg_r', 'gnuplot', 'gnuplot2', 'gnuplot2_r', 'gnuplot_r', 'gray', 'gray_r',\r\n",
" 'hot', 'hot_r', 'hsv', 'hsv_r', 'icefire', 'icefire_r', 'inferno', \r\n",
" 'inferno_r', 'magma', 'magma_r', 'mako', 'mako_r', \r\n",
" 'nipy_spectral', 'nipy_spectral_r', 'ocean', 'ocean_r', 'pink', 'pink_r',\r\n",
" 'plasma', 'plasma_r', 'prism', 'prism_r', 'rainbow', 'rainbow_r',\r\n",
" 'rocket', 'rocket_r', 'seismic', 'seismic_r', 'spring', 'spring_r',\r\n",
" 'summer', 'summer_r', 'tab10', 'tab10_r', 'tab20', 'tab20_r', 'tab20b',\r\n",
" 'tab20b_r', 'tab20c', 'tab20c_r', 'terrain', 'terrain_r', 'twilight',\r\n",
" 'twilight_r', 'twilight_shifted', 'twilight_shifted_r', 'viridis', 'viridis_r', 'vlag', 'vlag_r', 'winter', 'winter_r']\r\n",
" x=random.randint(0,169)\r\n",
" plt.style.use(\"seaborn\")\r\n",
" palettes =sns.color_palette(colors[x], 7),\r\n",
" fig = plt.figure(figsize=(8,6))\r\n",
" axes = fig.add_subplot(1,1,1)\r\n",
"\r\n",
" # Create Graphs\r\n",
" y_pos = np.arange(len(tea))\r\n",
" sns.barplot(y_pos, top13, alpha=1, palette=colors[x])\r\n",
" plt.xticks(y_pos, tea)\r\n",
" plt.ylabel('Total Number of Draft Picks Since 2000')\r\n",
" plt.title('Total Draft Picks by Position for the %s' % teamDF[0])\r\n",
" plt.savefig(str(teamDF[0]) + \".png\")\r\n",
" plt.show()\r\n",
" teamDF=[]\r\n",
" \r\n",
" "
],
"outputs": [
{
"output_type": "stream",
"name": "stderr",
"text": [
"C:\\Python39\\lib\\site-packages\\seaborn\\_decorators.py:36: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
" warnings.warn(\n"
]
},
{
"output_type": "display_data",
"data": {
"text/plain": [
""
],
"image/png": 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"
},
"metadata": {}
},
{
"output_type": "stream",
"name": "stderr",
"text": [
"C:\\Python39\\lib\\site-packages\\seaborn\\_decorators.py:36: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
" warnings.warn(\n"
]
},
{
"output_type": "display_data",
"data": {
"text/plain": [
""
],
"image/png": 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"
},
"metadata": {}
},
{
"output_type": "stream",
"name": "stderr",
"text": [
"C:\\Python39\\lib\\site-packages\\seaborn\\_decorators.py:36: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
" warnings.warn(\n"
]
},
{
"output_type": "display_data",
"data": {
"text/plain": [
""
],
"image/png": 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"
},
"metadata": {}
},
{
"output_type": "stream",
"name": "stderr",
"text": [
"C:\\Python39\\lib\\site-packages\\seaborn\\_decorators.py:36: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
" warnings.warn(\n"
]
},
{
"output_type": "display_data",
"data": {
"text/plain": [
""
],
"image/png": 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"
},
"metadata": {}
},
{
"output_type": "stream",
"name": "stderr",
"text": [
"C:\\Python39\\lib\\site-packages\\seaborn\\_decorators.py:36: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
" warnings.warn(\n"
]
},
{
"output_type": "display_data",
"data": {
"text/plain": [
""
],
"image/png": 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"
},
"metadata": {}
},
{
"output_type": "stream",
"name": "stderr",
"text": [
"C:\\Python39\\lib\\site-packages\\seaborn\\_decorators.py:36: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
" warnings.warn(\n"
]
},
{
"output_type": "display_data",
"data": {
"text/plain": [
""
],
"image/png": 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"
},
"metadata": {}
},
{
"output_type": "stream",
"name": "stderr",
"text": [
"C:\\Python39\\lib\\site-packages\\seaborn\\_decorators.py:36: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
" warnings.warn(\n"
]
},
{
"output_type": "display_data",
"data": {
"text/plain": [
""
],
"image/png": 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"
},
"metadata": {}
},
{
"output_type": "stream",
"name": "stderr",
"text": [
"C:\\Python39\\lib\\site-packages\\seaborn\\_decorators.py:36: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
" warnings.warn(\n"
]
},
{
"output_type": "display_data",
"data": {
"text/plain": [
""
],
"image/png": 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"
},
"metadata": {}
},
{
"output_type": "stream",
"name": "stderr",
"text": [
"C:\\Python39\\lib\\site-packages\\seaborn\\_decorators.py:36: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
" warnings.warn(\n"
]
},
{
"output_type": "display_data",
"data": {
"text/plain": [
""
],
"image/png": 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"
},
"metadata": {}
},
{
"output_type": "stream",
"name": "stderr",
"text": [
"C:\\Python39\\lib\\site-packages\\seaborn\\_decorators.py:36: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
" warnings.warn(\n"
]
},
{
"output_type": "display_data",
"data": {
"text/plain": [
""
],
"image/png": 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"
},
"metadata": {}
},
{
"output_type": "stream",
"name": "stderr",
"text": [
"C:\\Python39\\lib\\site-packages\\seaborn\\_decorators.py:36: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
" warnings.warn(\n"
]
},
{
"output_type": "display_data",
"data": {
"text/plain": [
""
],
"image/png": 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"
},
"metadata": {}
},
{
"output_type": "stream",
"name": "stderr",
"text": [
"C:\\Python39\\lib\\site-packages\\seaborn\\_decorators.py:36: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
" warnings.warn(\n"
]
},
{
"output_type": "display_data",
"data": {
"text/plain": [
""
],
"image/png": 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"
},
"metadata": {}
},
{
"output_type": "stream",
"name": "stderr",
"text": [
"C:\\Python39\\lib\\site-packages\\seaborn\\_decorators.py:36: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
" warnings.warn(\n"
]
},
{
"output_type": "display_data",
"data": {
"text/plain": [
""
],
"image/png": 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"
},
"metadata": {}
},
{
"output_type": "stream",
"name": "stderr",
"text": [
"C:\\Python39\\lib\\site-packages\\seaborn\\_decorators.py:36: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
" warnings.warn(\n"
]
},
{
"output_type": "display_data",
"data": {
"text/plain": [
""
],
"image/png": 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of//+Cg0NVWhoqNzc3FSqVCk1btxYzZo1s7yXgL+Dwgok4Ny5c7px40a8I2Vz5cql0qVLxxslelZcwb1165b++OMPnT9/Xlu3bpX09AeTo5jN5nhftcWVzzhxXwnfuXPHkiXuK1VHZUnoh2aOHDk0bty4eCNC0tPRvuPHj6tHjx5W+Rs0aBDvCPMvv/xSR48eVVBQkGWEUpJKliwpDw8PNW/eXPXq1VO1atVUvnx5lShR4pV569evb3X7X//6l+bPn69Dhw6pevXqatasmQYPHqxLly4pR44cWr16tfLmzWspei+yb98+q9E/6WlRqVSpkoYPHy6TyaSDBw8qJiZGjRo1stouICBAOXLk0N69e9W6dWuVL19eS5cu1dWrV1W9enVVr15d3bp1e+Vze5G9e/cqR44c8Z5D48aNtWLFCstzl54WnmcLxhtvvCHp6dHhCRW8Fz1ezZo1rUqSq6urGjZsqJCQEN2/f9+y/Pn3rD0CAgIsfzeZTMqRI4dlWsnu3btlNptVq1Ytq18katWqpRkzZigsLCzBgxZdXZ/+WHzVSH2cuKPg4+73Iq6urnr06JHldsWKFRUaGiqz2awDBw7owYMHqlKliqSnxXr06NEKCwtTqVKldPz4cbVq1SrePmfMmGGZGxodHa3ff/9dM2bMsBz97+3tLbPZbFO2hHh7e2vEiBHq2LGjSpUqpU8++STB7QICAvTf//5XYWFh+uWXX7R3714dPHhQ+/bt05o1azR37lylTp36pRmAV6GwAgm4ffu2JCX4VVamTJl0/PjxF973yJEjGjZsmI4cOSJPT0/lz59f2bNnl+S4c0lGRUUpMjLSUibieHl5Wd2+cOGChgwZol27dsnNzU1vvfWWZYTEUVme/aHp5uamjBkzWkY9ExIZGSmz2ZzgaOHzrl27pqJFiyokJET16tVTmjRpJD0d/Vq0aJFmz56tFStWaMGCBUqXLp1atWqlXr16vXTO3PMHf8QdDBY3h7RBgwYKCgrS2rVr1aFDB23cuPGVp/iSnh65P2zYMElPy5OHh4eyZctmVdriHuNF76u4ubODBg3SG2+8oe+//14jRozQiBEjVLp0aX399dfxRrhsERkZmeBBL3E5np07/Py0BxeXpzPHbC1wcY/3oudoNputTgv1/HvWHglljXtfx32G40apn3ft2rUEl8d9Vp89Rdjzbt26JW9vb7m7u1tGVi9duqQ8efK88D7h4eEqWbKk5XbFihUVHBysP/74Qzt27NBbb71leez8+fPrjTfesPxy+ejRowSnSxQsWNBqJDggIEAFCxZUq1attHz5cn388cfKkSOHdu7cqaioqBdOaYmbuxr3+M+qVq2apKcl+mUjpS4uLipbtqzlwM3IyEhNnDhR3333nVasWKE2bdq88L6ALSisQALivh599uvpODdu3HjhSNO9e/f0ySefyM/PT+vXr9dbb70lFxcXbdu2TZs2bXJYvr179+rJkycvPao/NjZWnTp1kpubm1asWKHChQvL1dVVZ86c0dq1ax2W5fkfmq/i7e0tk8mkW7duWS2Pjo7W7t27rX6oT5s2TZ6engoMDNTEiRP11VdfWdaVKFFC06ZNU0xMjMLCwrRs2TLNnDlThQoVijeK+qznz4ka928cV6DTpEmjevXqaePGjSpYsKAePHigJk2avPJ5pUmTRsWLF3/pNunTp7c8ZtwR4HFu3LhhGUV2d3dXly5d1KVLF12+fFlbt27V9OnT1bdvX61fv/6VWRJ63PPnz8dbHjelxNaRU3se70WfnbjHu379ukMf83lxp5yaP3++5RedZyVUzqSnI76ZMmXS9u3breaCPuurr77SwYMH9fPPP6tKlSpyd3fXjz/+mGCplJ5+Xm/dumU1z7VIkSLKkCGDDh48qF27dllGV+NUqlRJYWFhcnFxUcGCBW0+yj7uPRh3oFytWrW0ZMkSbd68We+8806C94mbs/2yc0O/SK9evXT79u14px5Lnz69hgwZog0bNujMmTN27xd4HgddAQnImzevMmfObDmqN054eLgOHjyoMmXKSFK8EYc//vhDt2/fVrt27ZQ/f37L6NT27dsl2TdK9SJx8w4zZcqU4NfxcSIiInTu3Dk1b95cxYsXt3ztZ0uWuNyJIU2aNCpcuLBlmkSc7du3q1OnTlZFJlOmTPLz89NHH32kxYsX69ChQ5KenpezZs2aljl+FStW1IgRIyRZH42fkJ9//tnq9vr16+Xp6WlVlJs3b67Tp09r/vz5qlSp0ktHjO1RsmRJubu7x3tf7d+/X5cvX1aZMmX08OFDvf3225o7d66kp8WqdevWatiw4Quf26v+vcqWLatLly7FO/fn999/Lzc3N5umUtijbNmy2rp1q9VI6pMnT7R+/XoVL17c6qAdW7zO+zFuukBERISKFy9u+XPr1i1NnjzZMgKb0GN99NFH+vnnn/XTTz/FW797925t27ZN9erVk7u7u9KmTauPP/5YK1asiPfeinv8YcOGKVeuXFajvS4uLipfvrx27dqlkydPxiusVapU0cmTJ3XgwIEXFuGEHD58WJIso72VK1eWv7+/xowZYxlJfdaRI0cUGhqqBg0avHSE+EVy586t3bt36+DBg/HWXb9+XQ8ePFDBggXt3i/wPEZYgQS4uLioT58+GjBggPr27avGjRsrIiJC06ZNU/r06fXxxx9LktKmTSvpaQlKnz698ubNK29vb82cOVOurq5ydXXVpk2bLAeZ2HuWgAsXLlh+EDx69EgXL17U0qVLdezYMYWEhLz0qHVfX1/lyJFDixcv1htvvKF06dJpx44dWrBgwSuzpEuXTjdv3tS2bdtUuHBhh5/wv2fPnurSpYv69Omjd999Vzdv3tSECRNUp04dFSxYUEePHrXavnv37tq4caO++uorrVq1ShUqVFBwcLC6deumNm3aKFWqVFq6dKnc3d1fenS3JP33v/9V1qxZValSJf3yyy9atmyZPvvsM6uv7v39/ZU3b17t3btXEydOdNjzzpAhgzp16qSQkBC5ubmpZs2aunjxoiZPnqz8+fOradOmSp06tYoWLapp06bJzc1Nfn5+OnfunFavXq233347wf3GjSb+73//U7Vq1ZQvXz6r9YGBgVqyZIm6deumnj17KmfOnPrpp5+0cuVKde/e3XJ/R+nevbu2b9+udu3aWUb5Fy1apPDwcIWGhtq9v3Tp0um3337Trl27bD6/rJ+fnxo3bmyZj1ysWDGdO3dOEydOVM6cOV9azj766CPt27dPPXr00Hvvvafq1avLxcVF+/bt08KFC1W4cGGr+e09evTQ+fPn1a1bNzVr1ky1a9eWp6enjh8/rnnz5slsNmvmzJnxpj9UqFBBQUFBSpUqlcqVK2e1rmLFirp3757279+vDh06JJjzxIkTlpHs2NhYnT17VlOnTlXmzJkt52x1cXHR+PHj1alTJzVv3lzt2rVTmTJlFBsbq19//VWLFy9WkSJFLNNZ7NW+fXtt3rxZH3/8sVq1aqXy5cvL09NTp0+f1ty5c1WgQAEFBga+1r6BZ1FYgRcIDAxUmjRpNGvWLHXr1k3e3t6qWrWq+vTpY/l6rkCBAmrUqJEWL16sHTt2WK4YM3bsWH322WeW0cS4k2fv37/frq/dZsyYoRkzZkh6emCEj4+PAgICNGTIkHgH+CRk+vTpGjVqlPr37y93d3flz59fM2bMUFBQkPbv3//Cy88GBgZq27ZtloJjyxxOe9SsWVMzZ87UtGnT1K1bN/n4+Oidd95Rjx49Etze09NTQ4YMUefOnTV79mx169ZNM2fOVEhIiPr06aMnT56oWLFimjt3bryv2p83aNAgrV+/XvPmzVPmzJk1cOBAy/l0n1WjRg3dunXLIVcTe1aPHj2UKVMmLVq0SMuWLVOGDBlUr1499erVy1Johg8frkmTJmnu3Lm6ceOGfH191bx5c3322WcJ7rN8+fKqVKmSxo8fr127dmn27NlW6z09PbVw4UKNHz9ekydP1r179/TWW29p1KhRat68uUOfn/T0c7FkyRLL6eBMJpNKlCihBQsWWB0oZavWrVvr6NGj6tixo0aPHm3zL1CjR4/WrFmzLAew+fr6qkGDBurVq9dL52O6ublp+vTpWrZsmdauXasNGzYoJiZGb775prp27ao2bdpYlU83NzdNnjxZGzZs0LJly9SvXz89fPhQOXPmVGBgoNq2bZvgtIuKFSvq0aNHqlSpUrxfPn18fFSkSBGdPn36hVN/unfvbvl73JlDypcvr88++8wyrUmSsmXLpmXLlum7777TunXrNGfOHKVKlUr58uVT//791aJFi9c+kj99+vRatmyZvvnmG/3000/67rvv9OjRI+XIkUONGjVSp06dOOAKDmEyc6FfALBiNpvVsGFDValShctKAoABMMIKAP/n3r17mjdvno4cOaLw8PAXjkADAJIWhRUA/k/q1Km1dOlSxcbGxjv3KwDAeZgSAAAAAEPjtFYAAAAwNAorAAAADI3CCgAAAEOjsAIAAMDQ/tFnCbhx466zIwAAAOAlMmdO+8ptGGEFAACAoVFYAQAAYGgUVgAAABgahRUAAACGRmEFAACAoVFYAQAAYGgUVgAAABgahRUAAACGRmEFAACAoVFYAQAAYGgUVgAAABgahRUAAACGRmEFAACAoVFYAQAAYGgUVgAAABgahRUAAACGRmEFAACAoVFYAQAAYGgUVgAAABgahRUAAACGRmEFAACAobk6O0BS6zB4ubMjJGjOiBbOjgAAAGBIjLACAADA0CisAAAAMDQKKwAAAAyNwgoAAABDo7ACAADA0CisAAAAMDQKKwAAAAyNwgoAAABDo7ACAADA0CisAAAAMDQKKwAAAAyNwgoAAABDo7ACAADA0CisAAAAMDQKKwAAAAyNwgoAAABDo7ACAADA0CisAAAAMDQKKwAAAAyNwgoAAABDo7ACAADA0CisAAAAMDQKKwAAAAyNwgoAAABDo7ACAADA0CisAAAAMDQKKwAAAAyNwgoAAABDo7ACAADA0CisAAAAMDQKKwAAAAyNwgoAAABDo7ACAADA0CisAAAAMDQKKwAAAAyNwgoAAABDo7ACAADA0CisAAAAMDQKKwAAAAyNwgoAAABDo7ACAADA0CisAAAAMDQKKwAAAAzNMIW1U6dO6t+/v+X28ePH1aJFC5UsWVLNmjXT0aNHnZgOAAAAzmKIwrp+/Xpt27bNcvvBgwfq1KmTAgICtGrVKpUuXVqdO3fWgwcPnJgSAAAAzuD0wnr79m2NHTtWxYsXtyzbsGGDPDw89OWXXypfvnwaNGiQ0qRJox9//NGJSQEAAOAMTi+sY8aMUZMmTZQ/f37LskOHDsnf318mk0mSZDKZVKZMGR08eNBJKQEAAOAsrs588F27dmn//v364Ycf9PXXX1uW37hxw6rASpKvr69+//13u/bv4mKSi4vJEVETnaur0393AAAAMCSnFdbo6GgNHTpUQ4YMUerUqa3WRUVFyd3d3WqZu7u7YmJi7HoMH580llFao8uYMY2zIwAAABiS0wrrtGnTVKxYMVWtWjXeOg8Pj3jlNCYmJl6xfZVbt+4nmxHWiIj7zo4AAACQ5GwZtHNaYV2/fr1u3ryp0qVLS5KloG7atEmNGjXSzZs3rba/efOmsmTJYtdjxMaaFRtrdkzgRPb4cayzIwAAABiS0wrrwoUL9fjxY8vt4OBgSdLnn3+uffv26ZtvvpHZbJbJZJLZbNaBAwf06aefOisuAAAAnMRphTVHjhxWt9OkeTocnDt3bvn6+mr8+PEaNWqUWrZsqaVLlyoqKkr169d3RlQAAAA4kSEPTff29tasWbMUFhamwMBAHTp0SLNnz5aXl5ezowEAACCJmcxmc/KY5Pkabty4G29Zh8HLnZDk1eaMaOHsCAAAAEkuc+a0r9zGkCOsAAAAQBwKKwAAAAyNwgoAAABDo7ACAADA0CisAAAAMDQKKwAAAAyNwgoAAABDo7ACAADA0CisAAAAMDQKKwAAAAyNwgoAAABDo7ACAADA0CisAAAAMDQKKwAAAAyNwgoAAABDo7ACAADA0CisAAAAMDQKKwAAAAyNwgoAAABDo7ACAADA0CisAAAAMDRXezZ+9OiRTpw4oatXryo6Olqenp7KmjWrChcuLFdXu3YFAAAA2MSmlmk2mxUSEqL58+fr7t278dZ7e3urffv26tq1q8MDAgAAIGWzqbBOmTJFS5Ys0RdffKEKFSooS5Ys8vDwUHR0tK5fv65du3ZpwoQJio2NVffu3RM7MwAAAFIQmwrr8uXLFRQUpNq1a1stT506tXLlyqVcuXLJ19dXI0aMoLACAADAoWw66CoqKkp58uR56TZvvvmmIiMjHZEJAAAAsLCpsAYEBCg4OFj37t1LcP39+/c1fvx4+fv7OzQcAAAAYNOUgCFDhqh9+/aqXLmyihQpomzZssnd3V0xMTG6fv26jh07pixZsig0NDSx8wIAACCFsamw5siRQ+vXr9ePP/6osLAwXb16VREREfLw8FCBAgXUqlUr1alTR+7u7omdFwAAACmMzSdPdXV1VaNGjdSoUaPEzAMAAABYsbmw3r59W//5z3+0f/9+XblyRTExMZYLB5QtW1bNmzdXhgwZEjEqAAAAUiKbCuuJEyf08ccfy9PTUwEBASpQoIDVeVgXL16suXPn6ttvv5Wfn19iZwYAAEAKYlNhHTlypKpXr66goCClSpUq3vonT55owIABGjlypBYuXOjwkAAAAEi5bDqt1dGjR9WpU6cEy6okpUqVSp07d9bRo0cdGg4AAACwqbBmzpxZJ0+efOk2R44cYQ4rAAAAHM6mKQEff/yxBg0apFOnTqlChQp64403rM7DunfvXn377bfq2bNnYucFAABACmNTYW3durW8vLw0a9YszZ49WyaTSZJkNpslSXnz5tXAgQPVokWLxEsKAACAFMnm01o1bdpUTZs21a1bt3T16lVFRUUpderUypYtm3x8fBIzIwAAAFIwmwurJD169EgXL17U1atXFR0dLU9PT5nNZqVLl06urnbtCgAAALCJTS3TbDYrJCRE8+fP1927d+Ot9/b2Vvv27dW1a1eHBwQAAEDKZlNhnTJlipYsWaIvvvhCFSpUUJYsWawuHLBr1y5NmDBBsbGx6t69e2JnBgAAQApiU2Fdvny5goKCVLt2bavlqVOnVq5cuZQrVy75+vpqxIgRFFYAAAA4lE3nYY2KilKePHleus2bb76pyMhIR2QCAAAALGwqrAEBAQoODta9e/cSXH///n2NHz9e/v7+Dg0HAAAA2DQlYMiQIWrfvr0qV66sIkWKKFu2bFYXDjh27JiyZMmi0NDQxM4LAACAFMamwpojRw6tX79eP/74o8LCwnT16lVFRETIw8NDBQoUUKtWrVSnTh25u7sndl4AAACkMDafPNXV1VWNGjVSo0aNEjMPAAAAYMWmOayStHbtWrVt21aNGzdOcD7rrVu34p1FAAAAAPi7bCqsy5cv16BBg5QrVy6VLFlSixcvVrNmzXT58mXLNrGxsVa3AQAAAEewqbAuWLBAQ4YM0ahRozRixAitX79erq6uatu2rW7cuJHYGQEAAJCC2VRYL168qIoVK1puZ8+eXfPnz5fJZNInn3zywtNdAQAAAH+XTYU1S5YsOnbsmNWyTJkyafbs2bp69aq6dOmihw8fJkpAAAAApGw2FdYWLVpo6NChmj17tq5du2ZZ/tZbb2n69Ok6duyY2rdvn2ghAQAAkHLZVFg7dOigjz76SIsXL9a5c+es1vn7+2vevHmJkQ0AAACQyWw2m+25g9lslslkirf8yZMnOnz4sEqXLu2wcH/XjRt34y3rMHi5E5K82pwRLZwdAQAAIMllzpz2ldvYfB7WOAmVVUlKlSqVocoqAAAA/hnsLqwAAABAUqKwAgAAwNAorAAAADC01y6sly9f1o4dO/Tw4UP99ddfjswEAAAAWLjae4eYmBj169dPGzdulIuLizZt2qQxY8bo/v37mjp1qry9vRMjJwAAAFIou0dYZ8yYoZMnT2r+/Pny8PCQJLVt21bnz59XcHCwwwMCAAAgZbO7sK5fv16DBw9W+fLlLcvKly+vUaNGacuWLQ4NBwAAANhdWK9du6ZcuXLFW54tWzZFRkY6JBQAAAAQx+7Cmi9fPu3atSve8vXr1yt//vwOCQUAAADEsfugqx49eqh37946c+aMnjx5otWrV+vcuXPatGmTJk6cmBgZAQAAkILZPcJas2ZNTZkyRUePHlWqVKk0Z84chYeHa+LEiXr77bcTIyMAAABSMLtHWCWpatWqKlasmHx8fCRJhw8fVtGiRR0aDAAAAJBeY4T1woULqlevnkJDQy3LOnXqpCZNmujKlSsODQcAAADYXViDgoKUO3duffTRR5ZlGzZsULZs2TR69GhHZgMAAADsL6z79+9X//79lSVLFssyHx8fffnll9q9e7dDwwEAAAB2F1ZXV1fduXMn3vKoqCiZzWaHhAIAAADi2F1Yq1WrppEjR+rChQuWZeHh4Ro9erSqVq3q0HAAAACA3WcJ6Nevnz7++GO9/fbbSpcunSTpzp07Klq0qAYMGODwgAAAAEjZ7C6svr6+Wr16tX799Vf9/vvvcnV1Vf78+VWxYkWZTKbEyAgAAIAU7LXOw5oqVSpVrVqVKQAAAABIdHYX1hs3bmjSpEk6cOCAHj16FO9Aqy1btjgsHAAAAGB3YR08eLCOHj2qhg0bKm3atImRCQAAALCwu7Du3r1boaGhCggISIw8AAAAgBW7T2vl5eUlX1/fxMgCAAAAxGN3YW3SpIlCQ0P15MmTxMgDAAAAWLF7SsDt27e1bt06/fzzz3rzzTfl7u5utX7BggUOCwcAAAC81mmtGjVq5OgcAAAAQILsLqyjR49OjBwAAABAgmwqrGvWrFGDBg3k7u6uNWvWvHTbd9991wGxAAAAgKdsKqz9+/dX1apV5evrq/79+79wO5PJRGEFAACAQ9lUWE+ePJng3/+u8+fPa/jw4Tpw4IDSp0+vNm3a6JNPPpEkhYeHa/DgwTp48KCyZ8+ugQMHqkqVKg57bAAAACQPdp/W6lmPHz/WsWPHdO3aNbvvGxsbq06dOiljxoxavXq1hg0bphkzZuiHH36Q2WxWt27dlClTJq1cuVJNmjRR9+7ddfny5b8TFwAAAMmQzYV17dq1CgwMtJTGs2fP6l//+peaN2+umjVratCgQXadm/XmzZsqXLiwvv76a+XJk0fVq1dXxYoVFRYWpt27dys8PFzDhw9Xvnz51LlzZ5UqVUorV660/xkCAAAgWbOpsG7atEn9+/dXnjx5lDp1aklP57XeuXNHM2fO1MKFCxUWFmbXOVizZMmiSZMmydvbW2azWWFhYdq3b5/KlSunQ4cOqUiRIvLy8rJs7+/vr4MHD9r37AAAAJDs2TSHdeHCheratat69OghSTp9+rSOHDmizp07q3r16pKkXr16KSQkRB9//LHdIWrVqqXLly+rZs2aevvttxUUFKQsWbJYbePr66urV6/atV8XF5NcXEx253EGV9e/NTsDAADgH8vmg66GDRtmub17926ZTCbVrFnTsqxw4cK6cOHCa4WYMmWKbt68qa+//lqjR49WVFRUvCtoubu7KyYmxq79+vikkcmUPAprxoxpnB0BAADAkGwqrI8ePZKHh4fl9v79++Xl5aXixYtblj1+/Fhubm6vFSJuP9HR0fr888/VrFkzRUVFWW0TExNjmY5gq1u37iebEdaIiPvOjgAAAJDkbBm0s6mw5s2bV8eOHVPOnDkVHR2tX3/9VRUqVFCqVKks22zdulV58uSxOdzNmzd18OBB1alTx7Isf/78evTokTJnzqw//vgj3vbPTxN4ldhYs2JjzXbdx1keP451dgQAAABDsmniZGBgoEaOHKn58+erV69eunfvnj744ANJT0c+N27cqBkzZqhJkyY2P/DFixfVvXt3q1NiHT16VD4+PvL399exY8f08OFDy7qwsDCVLFnS5v0DAADgn8GmEdZ27dopIiJCM2bMkIuLi/r37285if+oUaO0bNkyNWnSRK1bt7b5gYsXL66iRYtq4MCBGjBggC5duqRx48bp008/Vbly5ZQtWzYNGDBAXbt21datW3X48GGNHj369Z4lAAAAki2T2Wz+W9+Znzp1SpLk5+dn932vXbumESNGaNeuXfL09FSbNm3UuXNnmUwmnT9/XoMGDdKhQ4eUO3duDRw4UJUqVbJr/zdu3I23rMPg5XbnTApzRrRwdgQAAIAklzlz2ldu87cLq5FRWAEAAIzNlsLKyT8BAABgaBRWAAAAGBqFFQAAAIZGYQUAAICh2V1YY2JiNHPmTJ0/f16SNGjQIJUuXVodOnRQRESEwwMCAAAgZbO7sAYHB+vbb7/VvXv3tH37dq1evVqdO3fW/fv3NXbs2MTICAAAgBTM7sL6448/asKECSpatKi2bNmicuXK6dNPP9VXX32ln3/+OREiAgAAICWzu7Devn1b+fLlkyTt3LlTlStXliRlyJDB6lKqAAAAgCPYdGnWZ+XKlUtHjhzRX3/9pYsXL6pq1aqSpM2bNytnzpwODwgAAICUze7C+sknn6hPnz5ycXFRhQoVVKhQIYWEhCgkJERBQUGJkREAAAApmN2F9d1331XhwoUVHh6uatWqSZKKFy+uOXPmqGLFig4PCAAAgJTN7jms4eHh8vPzU506deTu7i5JqlatmsqWLaspU6Y4PCAAAABSNrsL64cffqjLly9bLTt+/LiaNm2q0NBQhwUDAAAApNcorMWKFVPbtm119epVPXr0SBMnTtR7772ntGnTavXq1YmREQAAACmY3XNYJ06cqC+++EJt27ZV6tSpdeXKFX311Vdq2bJlYuQDAABACmf3CGuqVKkUHBys0qVL6+zZs5o7dy5lFQAAAInGphHWAQMGxFtmMpnk6uqqvn37KiAgwLJ89OjRjksHAACAFM+mwnrx4sUEl5csWfKl6wEAAIC/y6bCunDhwpeuj4mJsZziCgAAAHAku+ewRkdHa8CAAZo1a5ZlWb169TR48GDFxMQ4NBwAAABgd2EdPXq09u/fr9KlS1uWDRgwQHv27NHEiRMdGg4AAACwu7Bu3rxZY8eOVbly5SzL6tatq1GjRmn9+vUODQcAAADYXVjv37+vdOnSxVvu4+OjyMhIh4QCAAAA4thdWEuVKqXQ0FDFxsZalpnNZs2fP1/Fixd3aDgAAADA7itd9e7dWx9++KH27NmjYsWKSZKOHTum27dva+7cuQ4PCAAAgJTN7hHWEiVK6Pvvv1fDhg0VExOj2NhYNWrUSBs3brSclxUAAABwFLtHWCXpzTffVN++fR2dBQAAAIjH5kuzDho0SN7e3glepvVZXJoVAAAAjmTzpVnjDrLiMqwAAABISnZfmvVVl2kFAAAAHMnmOaxHjhzR+vXr5eHhoX/9618qWrRoYuYCAAAAJNlYWDdv3qyePXsqderUkqTQ0FAFBQWpSZMmiRoOAAAAsOm0VrNmzVJgYKD27Nmj/fv364MPPtCUKVMSOxsAAABgW2E9c+aMOnbsKDc3N7m4uKhbt266fPkyl2IFAABAorOpsD58+FBp0qSx3M6YMaPc3d119+7dRAsGAAAASDYWVrPZLJPJZH1HFxeZzeZECQUAAADEsfnSrM8XVgAAACAp2Hxaq5EjR8rDw8Ny+9GjRxo3bpzVVAGJK10BAADAsWwqrGXLltWNGzeslpUuXVoRERGKiIhIlGAAAACA9BpXugIAAACSks1zWAEAAABnoLACAADA0CisAAAAMDQKKwAAAAzN7sI6YMAA3bt3L97y27dvq2vXrg4JBQAAAMSx6SwBYWFhCg8PlyStWbNGRYsWlbe3t9U2Z8+e1a5duxyfEAAAACmaTYXVZDKpf//+lr+PHDky3jZeXl7q0KGDY9MBAAAgxbOpsObJk0cnT56UJBUqVEg7d+6Ur69vogYDAAAAJBvnsL799tu6cuWKJKlp06ZWl2gFAAAAEpNNI6xPnjzRL7/8okqVKmnNmjVq06aNMmbMmOC22bNnd2hAAAAApGw2FdYmTZpo8ODBMplMkqTmzZvH28ZsNstkMunEiROOTQgAAIAUzabCOnToULVs2VKRkZFq166dpk6dqvTp0yd2NgAAAMC2wipJfn5+kqTRo0erevXqcnd3T7RQAAAAQBybC2ucpk2b6uTJkzp9+rRiY2MlPZ0OEBMToyNHjiR4yisAAADgddldWL/99luNGTNG0tNzsprNZsvfAwICHJsOAAAAKZ7dl2ZdvHixOnbsqEOHDiljxozatm2b1q5dq3z58ql27dqJkREAAAApmN2F9erVq2rRooU8PDxUqFAhHTlyRH5+furfv79WrFiRGBkBAACQgtldWL28vPTkyRNJUq5cuXTmzBlJUr58+XTp0iXHpgMAAECKZ3dhLVOmjGbPnq2oqCgVKVJEP/30k2JjYxUWFqY0adIkRkYAAACkYHYX1j59+mjHjh1avHixGjZsqJs3b6pcuXLq16+fAgMDEyMjAAAAUjC7zxKQI0cObd68WQ8ePFCaNGn0n//8R+vWrdMbb7yhevXqJUZGAAAApGB2j7C+++67Onv2rHx8fCRJmTJl0kcffURZBQAAQKKwu7BGRUUpderUiZEFAAAAiMfuKQHt2rVTjx491Lp1a+XKlSteeS1btqzDwgEAAAB2F9YJEyZIkkaMGBFvnclk0okTJ/5+KgAAAOD/2F1Yt2zZkhg5AAAAgAS91lkCAAAAgKRic2F98uSJVq9erfXr1+vkyZO6e/eu0qVLp8KFC6tx48Zq3LixTCZTYmYFAABACmRTYY2KilLnzp21b98++fv7q379+kqbNq3u3bunY8eOqV+/flqzZo1mzZold3f3xM4MAACAFMSmwjp9+nSdO3dOK1asUNGiReOtP3r0qHr06KFFixapffv2Dg8JAACAlMum87Bu2rRJ/fv3T7CsSlKxYsXUp08frV692qHhAAAAAJsK69WrV1WiRImXblOyZElduHDBIaEAAACAODYV1piYGHl5eb10Gy8vL8XExDgkFAAAABDH7kuzAgAAAEnJ5tNabdy4Ud7e3i9cf/fuXYcEAgAAAJ5lc2EdOXLkK7fhPKwAAABwNJsK68mTJxM7BwAAAJAg5rACAADA0CisAAAAMDQKKwAAAAyNwgoAAABDs+mgq2rVqmn58uXKmjWrpk2bpg4dOsjT0zOxs+E5gxZsc3aEBI1qV92m7UJ3nkjkJK/nk8qFnR0BAAC8hE0jrJGRkTp16pQkKSQkRFFRUYkaCgAAAIhj0whr9erV1alTJ5lMJpnNZlWuXPmF2544YcxRNAAAACRPNhXW8ePHa8eOHYqMjNSAAQM0YMAApU2bNrGzAQAAALYVVjc3N9WqVUuSdOnSJbVo0cIhc1ivXbumUaNGaffu3fLw8FCDBg3Up08feXh4KDw8XIMHD9bBgweVPXt2DRw4UFWqVPnbjwkAAIDkxeZLs8bp3r27rly5opCQEJ0+fVqurq4qUKCA3nvvPeXIkcPm/ZjNZvXs2VPp0qXT4sWLFRkZqYEDB8rFxUVffvmlunXrpoIFC2rlypXavHmzunfvrg0bNih79uz2RgYAAEAyZndhPXXqlNq0aaPUqVOrRIkSio2N1apVq7R48WJ99913KlCggE37+eOPP3Tw4EHt3LlTmTJlkiT17NlTY8aMUbVq1RQeHq6lS5fKy8tL+fLl065du7Ry5Ur16NHD3sgAAABIxuwurGPHjlX58uU1fvx4eXh4SJKio6P1+eefKzg4WLNmzbJpP5kzZ1ZoaKilrMa5d++eDh06pCJFisjLy8uy3N/fXwcPHrQ3LgAAAJI5uy8ccODAAfXo0cNSViXJw8ND3bp1U1hYmM37SZcunapWrWq5HRsbq0WLFqlChQq6ceOGsmTJYrW9r6+vrl69am9cAAAAJHN2j7CmSZNGjx49irc8oWX2GDdunI4fP64VK1Zo3rx5cnd3t1rv7u6umJgYu/bp4mKSi4vpb+VKKq6uyfeiY8k5u5T88wMA8E9nd2GtUKGCxo4dqylTpihDhgySpFu3bmncuHGqWLHia4UYN26c5s+fr4kTJ6pgwYLy8PDQ7du3rbaJiYlR6tSp7dqvj08amUzJo7BmzJjG2RFeW3LOLiX//AAA/NPZXVg///xztWzZUjVr1lSePHkkSX/++acyZMigoKAguwOMGDFC3333ncaNG6e3335bkpQ1a1adOXPGarubN2/GmybwKrdu3U82I6wREfedHeG1JefsUvLPDwBAcmbLwJHdhfWNN97Q+vXrtXbtWv3+++8ym81677339M4778jb29uufU2bNk1Lly7VhAkTVK9ePcvykiVLavbs2Xr48KFlVDUsLEz+/v527T821qzYWLNd93GWx49jnR3htSXn7FLyzw8AwD+d3YVVejqPtVWrVn/rgc+ePavp06erU6dO8vf3140bNyzrypUrp2zZsmnAgAHq2rWrtm7dqsOHD2v06NF/6zEBAACQ/LxWYXWELVu26MmTJ5oxY4ZmzJhhte7UqVOaPn26Bg0apMDAQOXOnVshISFcNAAAACAFclph7dSpkzp16vTC9blz59aiRYuSMBEAAACMiPP5AAAAwNDsLqwjR47UhQsXEiMLAAAAEI/dhXX16tVycWFgFgAAAEnD7uZZvXp1LVq0SPfvc+5KAAAAJD67D7q6ceOGNmzYoPnz58vX11ceHh5W67ds2eKwcAAAAIDdhbV8+fIqX758YmQBAAAA4rG7sHbv3j0xcgAAAAAJeq2jp06ePKkBAwaoZcuWunbtmhYvXqy9e/c6OhsAAABgf2E9evSoWrRooYsXL+ro0aOKiYnRiRMn1L59e23bti0xMgIAACAFs7uwBgcHq3379lq4cKHc3NwkPT03a+vWrTV16lSHBwQAAEDK9lojrO+++2685a1bt9bZs2cdkQkAAACwsLuwurm56d69e/GWX7lyRZ6eng4JBQAAAMSxu7DWqVNHkyZN0p07dyzLzp49q1GjRqlGjRqOzAYAAADYX1j79eun+/fvq0KFCoqKilJgYKAaNWqkVKlS6csvv0yMjAAAAEjB7D4Pq7e3t5YuXapdu3bp+PHjio2NVcGCBVW1alW5uLzWWbIAAACAF7K7sMbJmTOnHjx4IHd3d+XPn5+yCgAAgERhd2GNjIzUwIED9dNPP8lsNkuSXFxc9O6772ro0KHy8PBweEgAAACkXHYPi44cOVJnz57VnDlztH//fu3du1fTpk3T7t27NWbMmMTICAAAgBTM7hHWn376SbNmzVJAQIBlWa1ateTh4aE+ffpoyJAhDg0IAACAlO21zsPq7e0db7mPj49iY2MdEgoAAACIY3dhbdeunYKCgnTr1i3LsgcPHmjixIlq1aqVQ8MBAAAANk0JqFWrlkwmk+X2pUuXVKtWLeXOnVupUqXSuXPnFB0drcjIyEQLCgAAgJTJpsLatGlTq8IKAAAAJBWbCmuPHj0SOwdgeNsv3XB2hARVy5HZ2REAAEhUr3XhgJ9//lmnT59WTEyM1XKTyaRu3bo5JBgAAAAgvUZhHT58uJYsWSJfX994FwmgsAIAAMDR7C6s69ev19dff62WLVsmRh4AAADAit2ntXJ1dVX58uUTIwsAAAAQj92FtVWrVpo5c2a8+asAAABAYrB7SkD9+vX1wQcfyN/fX5kzZ453uqstW7Y4LBwAAABgd2H94osvlC5dOjVr1kxeXl6JkQkAAACwsLuw/v7771qxYoUKFiyYGHkAAAAAK3bPYc2XL5/u3LmTGFkAAACAeOweYe3YsaMGDhyoDh06KFeuXHJ1td5F2bJlHRYOAAAAsLuw9unTR5I0dOjQeOtMJpNOnDjx91MBAAAA/8fuwspZAAAAAJCU7C6sOXLkSIwcAAAAQILsLqzt2rV76foFCxa8dhgAAADgeX97hPXx48c6f/68Tp8+rQ8//NBhwQAAAADpNQrr6NGjE1weEhKiq1ev/u1AAAAAwLPsPg/rizRp0kQbN2501O4AAAAASQ4srL/99ptSpUrlqN0BAAAAkhx00NW9e/d06tQptWrVyiGhAAAAgDgOOa2Vm5ub2rRpo8aNGzskFADHuvgoxtkREpTTzd22DdM8TNwgr+t+amcnAIAUwWEHXQEAAACJwabCevnyZZt3mD179tcOAwAAADzPpsJaq1YtmUymV25nMpl0/Pjxvx0KAAAAiGNTYX3Z1atu376t4OBgXbhwQXXr1nVYMAAAAECysbCWK1cuweVbtmzR8OHD9fjxY40fP14NGzZ0aDgAAADA7oOuJOnOnTsaMWKE1q1bp9q1a2vYsGHy9fV1dDYAAADA/sK6detWDRkyRDExMRo7dqzeeeedxMgFAAAASLKjsN69e1cjRozQ999/r1q1amn48OHKlClTYmYDAAAAbCusP//8s4YMGaLo6GiNHTuWCwQAAAAgydhUWD/99FNJUvr06TV58mRNnjz5hdtu2bLFMckAAAAA2VhYu3XrZtN5WAEAAABHs6mw9ujRI7FzAAAAAAlycXYAAAAA4GUorAAAADA0CisAAAAMjcIKAAAAQ6OwAgAAwNBsOktAoUKFbD6t1YkTJ/5WIAAAAOBZNhXWoKAgzsMKAK8prfdRZ0dI0N17xZwdAQBsYlNhDQwMTOwcAAAAQIJsKqzP27Jli06fPq0nT55YlsXExOjIkSP69ttvHRYOAAAAsLuwBgcHKzQ0VJkyZdJff/2lrFmz6ubNm3ry5IkaNmyYGBkBAACQgtl9loAffvhBAwcO1C+//KIsWbJoyZIl+uWXX1SmTBm9+eabiZERAAAAKZjdhfWvv/5SrVq1JEl+fn46fPiwMmTIoN69e2vDhg0ODwgAAICUze7Cmi5dOj148ECSlCtXLp05c0aSlD17dl27ds2x6QAAAJDi2V1Yy5cvr+DgYF27dk0lS5bUjz/+qFu3bmnTpk3y8fFJjIwAAABIwewurF988YWuX7+ujRs36u2335a7u7sqV66ssWPHql27domREQAAACmY3WcJyJ49u9asWaPo6Gi5u7tr8eLF+uWXX5Q1a1YVL148MTICAAAgBbN7hLV27dq6ffu2PDw8JEmenp6qW7eusmbNqgoVKjg8IAAAAFI2m0ZYN2zYoB07dkiSLl26pOHDh1sKa5xLly5x+VYAAAA4nE2FtXTp0lq6dKnMZrMk6fLly3Jzc7OsN5lM8vLy0pgxYxInJQAAAFIsmwprtmzZtGDBAklS27ZtNW3aNKVPnz5RgwEAAADSaxx0tXDhQknS2bNndfr0abm5uSlfvnzKmzevw8MBAAAAdhfWmJgY9enTR5s3b7YsM5lMqlmzpiZNmiR3d3eHBgQAAEDKZvdZAiZMmKDDhw8rJCRE+/bt0549ezR16lQdP35cU6dOTYyMAAAASMHsLqzr1q3TsGHDVLt2baVNm1bp06dXnTp1NHToUP3www+JkREAAAApmN2F9f79+3rrrbfiLc+bN69u3brlkFAAAABAHLsLa8GCBfXjjz/GW75x40YOvAIAAIDD2X3QVZcuXdS1a1edOHFCZcqUkSSFhYXpf//7n8aPH+/wgAAA50n9cKOzI7zQw9T1nR0BQBKxqbAWLlxYv/zyi3x9fVWjRg1NnjxZ33zzjX7++WeZzWb5+flp0qRJ+te//pXYeQEAAJDC2FRY465wFadu3bqqW7duogQCAAAAnmX3HFYAAAAgKdk8h3Xjxo3y9vZ+5Xbvvvuu3SFiYmIUGBiowYMHq3z58pKk8PBwDR48WAcPHlT27Nk1cOBAValSxe59AwAAIHmzubCOHDnylduYTCa7C2t0dLT69u2r33//3bLMbDarW7duKliwoFauXKnNmzere/fu2rBhg7Jnz27X/gEAAJC82VxYd+7cKV9fX4c++JkzZ9S3b994c2R3796t8PBwLV26VF5eXsqXL5927dqllStXqkePHg7NAAAAAGOzaQ6ryWRKlAffu3evypcvr2XLllktP3TokIoUKSIvLy/LMn9/fx08eDBRcgAAAMC4XussAY7SqlWrBJffuHFDWbJksVrm6+urq1evJkoOAAAAGJdNhbVp06by8PBI7CwWUVFRcnd3t1rm7u6umJgYu/bj4mKSi0vijA47mqtr8j1hQ3LOLqWQ/I8SP8frsPW1f5zIOV5XinjvGFhyzw/AdjYV1tGjRyd2DiseHh66ffu21bKYmBilTp3arv34+KRJtOkMjpYxYxpnR3htyTm7ZEf+84mb43XZkv/PqIdJkMR+tr72Nx48SOQkr8fW/A+jEjnIa7Il/917SRDkNSX3/3sA2M7uS7MmhaxZs+rMmTNWy27evBlvmsCr3Lp1P9mMsEZE3Hd2hNeWnLNL5Hcmm7Mn3Rc8drE1v6d9v2snGVvyG/KHxP9Jzu99AP+fLb98GvL/opIlS2r27Nl6+PChZVQ1LCxM/v7+du0nNtas2NjEmX/raI8fxzo7wmtLztkl8juTzdkNWliT82sv2ZbfkD8k/k9yf/0B2M6QE4DKlSunbNmyacCAAfr99981e/ZsHT58WM2bN3d2NAAAACQxQxbWVKlSafr06bpx44YCAwP1/fffKyQkhIsGAAAApECG+bbn1KlTVrdz586tRYsWOSkNAAAAjMKQI6wAAABAHAorAAAADI3CCgAAAEOjsAIAAMDQKKwAAAAwNAorAAAADI3CCgAAAEOjsAIAAMDQKKwAAAAwNAorAAAADI3CCgAAAEOjsAIAAMDQKKwAAAAwNAorAAAADI3CCgAAAEOjsAIAAMDQKKwAAAAwNAorAAAADI3CCgAAAEOjsAIAAMDQKKwAAAAwNAorAAAADI3CCgAAAENzdXYAAAASS6qzs50dIUFP8nVydgQgWWGEFQAAAIZGYQUAAIChUVgBAABgaBRWAAAAGBqFFQAAAIZGYQUAAIChUVgBAABgaBRWAAAAGBqFFQAAAIbGla4AADCo2C1DnR0hQS61hzk7AlIYRlgBAABgaBRWAAAAGBqFFQAAAIZGYQUAAIChUVgBAABgaBRWAAAAGBqFFQAAAIZGYQUAAIChceEAAADgcPdDujo7wgul6Tbd2RFgJ0ZYAQAAYGgUVgAAABgahRUAAACGRmEFAACAoVFYAQAAYGgUVgAAABgahRUAAACGRmEFAACAoVFYAQAAYGgUVgAAABgahRUAAACGRmEFAACAoVFYAQAAYGgUVgAAABgahRUAAACGRmEFAACAoVFYAQAAYGgUVgAAABgahRUAAACGRmEFAACAoVFYAQAAYGgUVgAAABgahRUAAACGRmEFAACAoVFYAQAAYGgUVgAAABgahRUAAACGRmEFAACAoVFYAQAAYGiuzg4AAABgNOG93nd2hAS9OWmZsyM4BSOsAAAAMDQKKwAAAAyNwgoAAABDo7ACAADA0CisAAAAMDQKKwAAAAyNwgoAAABDo7ACAADA0CisAAAAMDQKKwAAAAyNwgoAAABDo7ACAADA0CisAAAAMDRDF9bo6GgNHDhQAQEBqlKliubOnevsSAAAAEhirs4O8DJjx47V0aNHNX/+fF2+fFn9+vVT9uzZVa9ePWdHAwAAQBIxbGF98OCBli9frm+++UZFixZV0aJF9fvvv2vx4sUUVgAAgBTEsFMCTp48qcePH6t06dKWZf7+/jp06JBiY2OdmAwAAABJybAjrDdu3FDGjBnl7u5uWZYpUyZFR0fr9u3b8vHxeeU+XFxMcnExJWZMh3F1NezvDq+UnLNLKST/o8TP8Tpsfe0fJ3KO15Ui3jsGZkt+cxLkeB22vvYxiZzjdaWE945RJefsf4fJbDYb8vO8Zs0aTZ48WVu3brUsCw8PV506dbRt2za98cYbTkwHAACApGLYmu7h4aGYGOvfLeNup06d2hmRAAAA4ASGLaxZs2ZVRESEHj/+/18G3rhxQ6lTp1a6dOmcmAwAAABJybCFtXDhwnJ1ddXBgwcty8LCwlS8eHG5uBg2NgAAABzMsM3P09NT7777rr7++msdPnxYmzdv1ty5c9WuXTtnRwMAAEASMuxBV5IUFRWlr7/+Wv/973/l7e2tDh066KOPPnJ2LAAAACQhQxdWAAAAwLBTAgAAAACJwgoAAACDo7ACAADA0Ax7aVZnq1Wrli5duiRJMplM8vT0lJ+fn7p166aqVavG20aS0qZNq0qVKmno0KHy9fV1Su44tuRv27at9u7dm+D9R48ercDAwCTLmxA/Pz8tWLBA5cuXj7du1apVGjBggOW2q6ur3nzzTX366ad69913kzDlU506dZKvr69Gjx5tWbZu3Tr17dtX3bt3V48ePSzLp0+frk2bNildunTxXv80adKoWLFi+uqrr1SwYMEky28LPz+/F67LkSOHfvrppyRM82LPfy5NJpPSpUsnf39/DRkyRNmyZUvWn92pU6dq2rRpL7y/Mz+7/fv31+rVq1+4fvTo0Vaf22eVK1dOCxcuTKxof9tff/2lWbNmacuWLbp+/brSp0+vqlWrqkePHsqePbuz4/3jXblyRSEhIdq+fbvu3LmjPHny6KOPPnLK//f2uHjxomrXrq0tW7YoZ86cluXLly/X4MGDNWrUKDVr1syJCV/u+f/33dzcVKBAAX344YdJ/9qbkaCaNWua582bZ75+/br56tWr5lOnTpnHjBljLly4sHnnzp0JbnP8+HFzu3btzB06dHByetvyt2nTxvzvf//bfP369Xh/oqKinPwMzOaCBQuad+/eneC6lStXmqtVq2bJGx4ebl65cqW5aNGi5gMHDiRxUrN51qxZ5oYNG1ot++qrr8xVqlQxt27d2mp5x44dzSNHjoz3+l+7ds28f/9+c9OmTc1169Y1P3nyJCmfwis9+/54//33rbL/9ddfzo5n8ex7P+79/8svv5hr165tbtu2bbxtkttn9969e5bntmnTJnPBggUN89m9c+eOJce8efOsPqPXr183L126NN6yuD8RERFOy/0qV69eNdeoUcMcGBho3rlzp/nSpUvmsLAwc+fOnc3VqlUzR0ZGOjui2Ww2m2/evGkeMWKEuUaNGuYSJUqYGzRoYA4NDTU/evTIbDabzeHh4eaCBQta/hQqVMhcuXJl89ixYy3bGNG5c+fMFStWNHfr1s184MAB8/nz581Lly41lyhRwjxnzhxnx3upuNc8PDzcsux///ufuXDhwuZvv/3WecFsVLBgQfOmTZssn9OLFy+aZ8+ebS5YsKB57969SZqFEdaXSJs2rTJnzizp6ZW3vvzyS924cUOjR4/WDz/8kOA2vXv31vvvv6+7d+8qbdq0TsueULaE8nt5eVm2SW5SpUpllT1nzpxav369fvzxR5UuXTpJs/j7+2vixIm6f/++0qRJI0nas2ePOnTooODgYD18+NBySeFDhw6pRYsWOnnyZLzXP0uWLBo0aJBatWql06dPq1ChQkn6PF7m2Zxubm6Gfu88+96Xnr7/e/bsqS+++EJ3796Nt01y++zGvcfSp08vSYb5d0ibNq3ltUubNm28z6ibm1u8ZclBUFCQ0qVLp++++07u7u6SpOzZsyskJEQNGzbUihUr1L59e6dmvHbtmj744APlzZtX48aNU9asWXXkyBEFBwdr9+7dmjVrlmXb5cuXK1u2bHry5InOnTun/v37K3369OrUqZMTn8GLDRs2TIUKFdLUqVNlMpkkSbly5VJMTIwmTJig5s2bJ5srYO7fv199+vRRly5dks1pOtOnT2/1me3YsaNWrlyp//73vypbtmyS5WAOq53ef/99nT59WufPn09wvaenp+UDZUSvyp/ceXl5OeVxixcvLjc3Nx07dkySdPXqVV2+fFktWrRQ2rRpdeDAAUnSuXPnFBkZqYCAgBfuK+4HYqpUqRI/eAoS97q+6Ep5fHaRkMjISG3evFldunSxvIfipEqVSt9++63atm3rpHT/X1BQkHLkyKHZs2crICBAb775pho0aKBFixZp//79+u677yzb+vj4KHPmzHrjjTdUsWJFtW7dWhs3bnRi+he7evWqdu3apY8++ije57N58+b65ptvnPb/vr1Onz6tLl266P3337eaJpYcubq6ys3NLUkfk8Jqp3z58kmSzpw5E2/d/fv3FRoaqho1ajh9hOZFXpY/uQsLC9Ovv/6qhg0bJvlju7u7q2TJkjp8+LAkaffu3SpWrJjSpEmjsmXLas+ePZKkgwcPqkCBAsqYMWOC+7l+/bomTZqkAgUK6K233kqy/P90Fy5c0OzZs1W1alXL6OSz+OziRY4eParHjx+/8JfMbNmyJfkP7udFRERo8+bN6tixY7xfdLNnz65mzZrpP//5zwvv7+npmdgRX9upU6dkNptVvHjxeOs8PT0VEBAgV1fjf1l85coVffLJJ8qQIYMGDhzo7DivLTo6WosXL9aZM2dUq1atJH1s4/8rG0zcD7P79+9LkoYOHaoRI0bIbDbr4cOHcnNz04IFC5wZ8aWezz9r1izNnTs33na//fZbkuZ6HZcvX7Z89f/o0SM9evRIb7/9tooUKeKUPAEBAZbCumfPHsvBYuXKldO6deskPS2s5cqVs9zn2df/yZMnkqRKlSpp1qxZjLD+DXGfS0l6/Pix3NzcVLt2basfFMn9s5tcPfu5fdawYcPUuHFjJyR6uYiICEn/f/qF9PQr9aCgIMttf39/hYaGJnm2OMeOHdPjx49VokSJBNeXKVNGCxcuVExMTLx1V65c0fLly9W0adPEjvla7ty5I0mG/UXSVr169VLu3Ln122+/ae3atYY/WOxZz/4i9ODBA2XIkEH9+/d/6TeFiYHCaqd79+5Jkry9vSVJPXv21L/+9S9JTz9YP/zwg9q3b6///Oc/KlCggNNyvsjz+Vu2bGmIr7NeR5YsWSxHFT9+/Fjnzp3Tv//9bw0ePNjqaP2kEhAQoDVr1kh6WljjClO5cuX073//WzExMTp48KC6dOliuU/c6x8TE6P58+fr119/Ve/evZUjR44kz/9PEve5vH//vqZOnapLly6pb9++ViPbyf2zm1w9+7l9lrPPzvAicXMj7969Kx8fH0lS/fr1Lb94Lly4UKdOnXJaPun/l+qEvj2Q/n/Zvn37tiSpUaNGMplMio2N1cOHD5U7d241adIkSbLaK0OGDJKefkbjXv/kqECBApo9e7bGjBmjoKAgVapUSVmyZHF2LJuMHDlSJUuWlMlkkoeHh7JkyeKU6VNMCbBT3H9McT/QfH19lTt3buXOnVvFixfXwIEDlSVLFq1atcqZMV/o+fzp06e35H/2T3Lg6upqyZsvXz7VqVNHvXr10urVqy0/3JNS6dKldf36dR05ckTXr19XmTJlJD19rdOmTat9+/bpzJkzViOsca9/gQIFNGLECL311lvq3Lmz5cAgvJ64z2WRIkU0efJkSVLXrl316NGjeNsk189ucvXs5/bZP0Yt4sWKFVOqVKks89Clp780xOV+duTVWeJK3bVr1xJc//wo5ezZs7VmzRqtWbNGixYtUs6cOdWqVasER2CdrWjRojKZTDp69Gi8dQ8ePNDHH3+skydPOiGZfYYNGyZ3d3f17t1bXl5eGjJkiLMj2Sxr1qzKnTu3cuXKpaxZszptrj+F1U4rV65U0aJF9eabb750u7ivd43G1vzJldlsltlsVmxsbJI/tpeXlwoXLqxly5apePHilnlhJpNJZcuW1apVq5QnT54XjhKYTCYNHz5ckZGRGj9+fFJG/0dzd3fXyJEjdeLECc2bN++V2/PZxbN8fHxUt25dzZ49W48fP463/kUlMSkVLVpUrq6uCZY66ekUr7x581r+T8qePbty586tvHnzqmzZsvr3v/+tc+fOaefOnUkZ2yY+Pj6qXLmy5s+fL7PZbLVu5cqV2r9/v7Jly+akdLaL+0rd29tbQ4cO1datWy3fyME2TAl4ibt37+rGjRsym82KiIjQihUrtGHDBqs5n3HbSE8nI69evVrnz59XvXr1nBXbwpb8Dx48sOR/lqenpyFGPA4fPqzo6GirZXGn0Xjy5Iklu9ls1oULFzR9+nRVqVLFaac4KVu2rJYuXap27dpZLS9XrpyCg4NfOW8pe/bs6ty5syZPnqz3339fhQsXTsS0KUeJEiXUvHlzTZ8+3TJPMrl/dpOrZz+3zzKZTMqUKZMTEr3a4MGD1bp1a7Vt21affvqp8uXLpytXrmjhwoXatGmTPv30U6fm8/HxUZ06dTRz5kzVqVNHrq6uWrhwobZt26ZOnTpp9erVL80YVwSN+svagAED9MEHH+izzz7TJ598orRp02rr1q2aNGmS+vbta4hRbnvUrFlT9evXT3ZTA5yNwvoSQUFBCgoKkslkko+Pj4oUKaJ58+ZZTTSO20aSPDw8lD9/fk2aNMnydbAz2ZJ/7ty5Cf4QbN68uUaNGpWUcRMUHBwcb9l///tfSU9Pd1KlShVJT09VlCFDBtWpU0e9e/dO0ozP8vf319y5c+NdnatcuXKKioqymg7wIu3bt9fKlSs1YsQILVmyJLGipji9e/fWpk2bNG7cOEnJ/7ObXD37uX1WqlSpdPz4cSckerVMmTJpxYoVCg0NVVBQkC5fvqw0adIoICBACxcutOlzndgGDRqkDz74QB07dlS3bt1Uvnx5bdy4UW3btlWuXLnUrl07y2jwrVu35OHhIenpvNZJkyYpY8aMqlChgjOfwgvlz59fS5Ys0dSpU9WlSxfdv39fb731lkaNGqV33nnH2fFey1dffaUGDRpoyJAhmjlzprPjJAsm8/Nj7AAAINn566+/FBISoi1btigiIkLZs2dXrVq19L///U+5cuVS9+7d1bJlS6v7eHt7y9/fX7169XLaGVYAW1BYAQD4B3vw4IGWLVum999/P9mcZB94HoUVAAAAhsZZAgAAAGBoFFYAAAAYGoUVAAAAhkZhBQAAgKFRWAEAAGBoFFYAAAAYGoUVAAAAhkZhBQAAgKFRWAEAAGBoFFYAAAAY2v8DV7kRhT8QD9IAAAAASUVORK5CYII="
},
"metadata": {}
},
{
"output_type": "stream",
"name": "stderr",
"text": [
"C:\\Python39\\lib\\site-packages\\seaborn\\_decorators.py:36: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
" warnings.warn(\n"
]
},
{
"output_type": "display_data",
"data": {
"text/plain": [
""
],
"image/png": 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"
},
"metadata": {}
},
{
"output_type": "stream",
"name": "stderr",
"text": [
"C:\\Python39\\lib\\site-packages\\seaborn\\_decorators.py:36: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
" warnings.warn(\n"
]
},
{
"output_type": "display_data",
"data": {
"text/plain": [
""
],
"image/png": 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"
},
"metadata": {}
},
{
"output_type": "stream",
"name": "stderr",
"text": [
"C:\\Python39\\lib\\site-packages\\seaborn\\_decorators.py:36: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
" warnings.warn(\n"
]
},
{
"output_type": "display_data",
"data": {
"text/plain": [
""
],
"image/png": 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"
},
"metadata": {}
},
{
"output_type": "stream",
"name": "stderr",
"text": [
"C:\\Python39\\lib\\site-packages\\seaborn\\_decorators.py:36: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
" warnings.warn(\n"
]
},
{
"output_type": "display_data",
"data": {
"text/plain": [
""
],
"image/png": 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"
},
"metadata": {}
},
{
"output_type": "stream",
"name": "stderr",
"text": [
"C:\\Python39\\lib\\site-packages\\seaborn\\_decorators.py:36: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
" warnings.warn(\n"
]
},
{
"output_type": "display_data",
"data": {
"text/plain": [
""
],
"image/png": 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"
},
"metadata": {}
},
{
"output_type": "stream",
"name": "stderr",
"text": [
"C:\\Python39\\lib\\site-packages\\seaborn\\_decorators.py:36: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
" warnings.warn(\n"
]
},
{
"output_type": "display_data",
"data": {
"text/plain": [
""
],
"image/png": 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"
},
"metadata": {}
},
{
"output_type": "stream",
"name": "stderr",
"text": [
"C:\\Python39\\lib\\site-packages\\seaborn\\_decorators.py:36: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
" warnings.warn(\n"
]
},
{
"output_type": "display_data",
"data": {
"text/plain": [
""
],
"image/png": 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"
},
"metadata": {}
},
{
"output_type": "stream",
"name": "stderr",
"text": [
"C:\\Python39\\lib\\site-packages\\seaborn\\_decorators.py:36: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
" warnings.warn(\n"
]
},
{
"output_type": "display_data",
"data": {
"text/plain": [
""
],
"image/png": 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"
},
"metadata": {}
},
{
"output_type": "stream",
"name": "stderr",
"text": [
"C:\\Python39\\lib\\site-packages\\seaborn\\_decorators.py:36: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
" warnings.warn(\n"
]
},
{
"output_type": "display_data",
"data": {
"text/plain": [
""
],
"image/png": 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"
},
"metadata": {}
},
{
"output_type": "stream",
"name": "stderr",
"text": [
"C:\\Python39\\lib\\site-packages\\seaborn\\_decorators.py:36: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
" warnings.warn(\n"
]
},
{
"output_type": "display_data",
"data": {
"text/plain": [
""
],
"image/png": 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"
},
"metadata": {}
},
{
"output_type": "stream",
"name": "stderr",
"text": [
"C:\\Python39\\lib\\site-packages\\seaborn\\_decorators.py:36: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
" warnings.warn(\n"
]
},
{
"output_type": "display_data",
"data": {
"text/plain": [
""
],
"image/png": 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"
},
"metadata": {}
},
{
"output_type": "stream",
"name": "stderr",
"text": [
"C:\\Python39\\lib\\site-packages\\seaborn\\_decorators.py:36: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
" warnings.warn(\n"
]
},
{
"output_type": "display_data",
"data": {
"text/plain": [
""
],
"image/png": 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"
},
"metadata": {}
},
{
"output_type": "stream",
"name": "stderr",
"text": [
"C:\\Python39\\lib\\site-packages\\seaborn\\_decorators.py:36: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
" warnings.warn(\n"
]
},
{
"output_type": "display_data",
"data": {
"text/plain": [
""
],
"image/png": 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"
},
"metadata": {}
},
{
"output_type": "stream",
"name": "stderr",
"text": [
"C:\\Python39\\lib\\site-packages\\seaborn\\_decorators.py:36: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
" warnings.warn(\n"
]
},
{
"output_type": "display_data",
"data": {
"text/plain": [
""
],
"image/png": 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"
},
"metadata": {}
},
{
"output_type": "stream",
"name": "stderr",
"text": [
"C:\\Python39\\lib\\site-packages\\seaborn\\_decorators.py:36: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
" warnings.warn(\n"
]
},
{
"output_type": "display_data",
"data": {
"text/plain": [
""
],
"image/png": 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"
},
"metadata": {}
},
{
"output_type": "stream",
"name": "stderr",
"text": [
"C:\\Python39\\lib\\site-packages\\seaborn\\_decorators.py:36: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
" warnings.warn(\n"
]
},
{
"output_type": "display_data",
"data": {
"text/plain": [
""
],
"image/png": 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"
},
"metadata": {}
},
{
"output_type": "stream",
"name": "stderr",
"text": [
"C:\\Python39\\lib\\site-packages\\seaborn\\_decorators.py:36: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
" warnings.warn(\n"
]
},
{
"output_type": "display_data",
"data": {
"text/plain": [
""
],
"image/png": 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"
},
"metadata": {}
},
{
"output_type": "stream",
"name": "stderr",
"text": [
"C:\\Python39\\lib\\site-packages\\seaborn\\_decorators.py:36: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
" warnings.warn(\n"
]
},
{
"output_type": "display_data",
"data": {
"text/plain": [
""
],
"image/png": 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5DxrmATgbR1gBB7l8+bIkpXuUI2/evDp06NB977t//36999572r9/v3x8fFS2bFkVLlxYkuPmkrxx44bi4+MtZSJV9uzZrW6fPHlSo0eP1o4dO+Tp6anSpUurfPnyDs0ye/ZsyywBnp6eypMnT5ojUHeLj4+X2WxO92jhvc6fP69KlSopKipKLVq0UI4cOSTdGSO7bNkyzZs3T6tXr9aSJUvk5+enjh076s0333zg2fipWVOlngyWOoa0ZcuWCg8P14YNG9S9e3dt2rTpoVN8SXfO3E8tGiaTSd7e3ipUqJBVaUt9jPu9r1LHzo4YMUIFCxbUp59+qrCwMIWFhalGjRp69913LX9/9oiPj0/zvO/OcffY4XuHPbi53TkW8rChFvc+3v2eo9lstppW6d73rD3Sy5r6vk79N5x6lPped3/Nfz9FixZVp06d1KlTJ6WkpGjLli0aOnSowsLCLGN1P/30U926dUszZszQjBkzrO5/5swZRUdHq0yZMjY9n7Jly6pfv36aPHmyNm7caNN9bNln2bJl1a1bN926dUtr167V+++/r8mTJ2v69OkOeQzAXhRWwEFSvx69++vpVLGxsff9KjEhIUGvv/66goKCtHHjRpUuXVpubm7avn37fedmzIjdu3crOTn5gWf1p6SkqGfPnvL09NTq1atVoUIFeXh46Pjx49qwYYPDsgQGBqb7NfT9+Pr6ymQyWcbUpUpMTNTOnTtVrVo1y7KZM2fKx8dHoaGhmjJlikaOHGlZV7VqVc2cOVNJSUnau3evVq1apTlz5qh8+fIPPPv53jlRU/+OUwt0jhw51KJFC23atEmBgYG6fv262rZt+9DnlSNHDstXwveT+jXsxYsXVbp0aat1sbGxlqPIXl5e6t27t3r37q2zZ89q27ZtmjVrlgYPHpyhIpMrVy79/fffaZanDim53/s5o3LlynXffzupj3fhwgWHPua9/Pz8JEmLFy+2/KJzt9RfIu+1efNmjRkzRh999JFKlSplWe7m5qZnnnlGP//8sz7++GPL8jVr1qhGjRppxl9fv35dffr00UcffWT1vn2Y119/XV999ZXCwsLUvXt3m+93t8WLF2v27Nnatm2bVan39PTUSy+9pO3bt+v48eMZ2jfgCAwJABykVKlSypcvX5oTIE6dOqV9+/apZs2akmT11al056zly5cvq0uXLipbtqzl6NR3330nyb6jVPeTOu4wb968atas2X23i4uL04kTJ9S+fXtVqVJFHh4eNmdJze0MOXLkUIUKFbRt2zar5d9995169uxpVWTy5s2roKAgde3aVcuXL7d8db1o0SI1atRISUlJ8vLy0hNPPKGwsDBJ1mfjp+fbb7+1ur1x40b5+PhYFeX27dvr2LFjWrx4serVq/fAI8b2qFatmry8vNK8r/bs2aOzZ8+qZs2aunnzppo3b66FCxdKulOsOnXqpFatWt33uT3s76tWrVo6c+aM1VfZ0p2jg56enqpateojPKv0H2/btm1WR1KTk5O1ceNGValSRV5eXnbtLyPvx9ThAnFxcapSpYrl59KlS5o2bZrlCOy9ypUrp8uXL2vx4sXprv/rr78UGBgo6c63KceOHVNoaKjq1Klj9dOoUSPVrVtXGzZssJxMZwt3d3d98MEHSkhI0Ny5c+170v+nbNmyiouLS3dGhOTkZJ06dcryHABX4Agr4CBubm4aNGiQhg0bpsGDB6tNmzaKi4vTzJkzlStXLr322muS7ox1k+6UoFy5cqlUqVLy9fXVnDlz5OHhIQ8PD23evNlykom9swScPHlS+/btk3RnIvrTp09r5cqVOnjwoKKioh541npAQICKFCmi5cuXq2DBgvLz89P333+vJUuWPDSLn5+fLl68qO3bt6tChQoOn/B/wIAB6t27twYNGqR27drp4sWLmjx5spo2barAwEAdOHDAavt+/fpp06ZNGjlypNauXau6desqMjJSffv21SuvvCJ3d3etXLlSXl5eatSo0QMf+6uvvlKBAgVUr149/fDDD1q1apX++9//Wn11HxwcrFKlSmn37t2aMmWKw5537ty51bNnT0VFRcnT01ONGjXS6dOnNW3aNJUtW1bPP/+8smXLpkqVKmnmzJny9PRUUFCQTpw4oXXr1t13MvrUo4lff/21nnrqqTRfQYeGhmrFihXq27evBgwYoKJFi+qbb77RmjVr1K9fP8v9HaVfv3767rvv1KVLF8tR/tSxuPPnz7d7f35+fvr111+1Y8cOm+eXDQoKUps2bTRq1CidOXNGlStX1okTJzRlyhQVLVpUJUuWTPd+pUuXVs+ePTV37lydPXtWbdq0UcGCBfXPP/9ow4YN2rFjhz788ENJd46uenp66plnnkl3X23bttVPP/1kmcbMVuXKlVPfvn01depUm+9zt/r166t169aaPHmyjh49qubNm8vf318xMTFauXKlYmJiMrxvwBEorIADhYaGKkeOHJo7d6769u0rX19fNWjQQIMGDbKMByxXrpxat26t5cuX6/vvv9fnn3+uWbNmacKECfrvf/9rOZq4bNky9ejRQ3v27HngJVnvNXv2bM2ePVvSnZNW/P39FRISotGjR1tN73M/s2bN0rhx4zR06FB5eXmpbNmymj17tsLDw7Vnz577Xn42NDRU27dvtxQcW8Zw2qNRo0aaM2eOZs6cqb59+8rf31/PPfec+vfvn+72Pj4+Gj16tHr16qV58+apb9++mjNnjqKiojRo0CAlJyercuXKWrhwYZqv2u81YsQIbdy4UYsWLVK+fPk0fPhwy3y6d2vYsKEuXbrkkKuJ3a1///7Kmzevli1bplWrVil37txq0aKF3nzzTct4zvfff19Tp07VwoULFRsbq4CAALVv317//e9/091nnTp1VK9ePU2aNEk7duzQvHnzrNb7+Pho6dKlmjRpkuXSnKVLl9a4cePUvn17hz4/6c6/ixUrVlimgzOZTKpataqWLFlidaKUrTp16qQDBw6oR48eioiIsPkXqIiICM2dO9dS0gICAtSyZUu9+eabab4dudugQYNUoUIFffLJJxo7dqwSEhLk5+enkJAQy9XbEhMTtXHjRtWvX98yhOhezzzzjN577z2tXLnSrsIqST169NDXX3+tgwcP2nW/VBMnTlTt2rX16aefauTIkbp+/br8/f1Vv359RUREMA8rXMpkdtRZFACQhZnNZrVq1UpPPvmkhg8f7uo4APCvwhFWAHgECQkJWrRokfbv369Tp07d9wg0ACDjKKwA8AiyZcumlStXKiUlReHh4XxtCgBOwJAAAAAAGBrTWgEAAMDQKKwAAAAwNAorAAAADI3CCgAAAEP7V88SEBt71dURAAAA8AD58uV86DYcYQUAAIChUVgBAABgaBRWAAAAGBqFFQAAAIZGYQUAAIChUVgBAABgaBRWAAAAGBqFFQAAAIZGYQUAAIChUVgBAABgaBRWAAAAGBqFFQAAAIZGYQUAAIChUVgBAABgaBRWAAAAGBqFFQAAAIZGYQUAAIChUVgBAABgaBRWAAAAGBqFFQAAAIZGYQUAAIChebg6wOMWF/OnqyOkK0/B0q6OAAAAYEgcYQUAAIChUVgBAABgaBRWAAAAGBqFFQAAAIZGYQUAAIChUVgBAABgaBRWAAAAGBqFFQAAAIZGYQUAAIChUVgBAABgaBRWAAAAGBqFFQAAAIZGYQUAAIChUVgBAABgaBRWAAAAGBqFFQAAAIZGYQUAAIChUVgBAABgaBRWAAAAGBqFFQAAAIZGYQUAAIChUVgBAABgaBRWAAAAGBqFFQAAAIZGYQUAAIChUVgBAABgaBRWAAAAGJpLC+v58+c1YMAA1a5dWw0aNFBERIQSExMlSWPHjlVQUJDVz7Jly1wZFwAAAC7g4aoHNpvNGjBggPz8/LR8+XLFx8dr+PDhcnNz05AhQxQdHa3Bgwfr+eeft9zH19fXVXEBAADgIi47wvrnn39q3759ioiIULly5RQSEqIBAwbo888/lyRFR0erYsWKypcvn+XHx8fHVXEBAADgIi4rrPny5dP8+fOVN29eq+UJCQlKSEjQ+fPnVbJkSdeEAwAAgGG4bEiAn5+fGjRoYLmdkpKiZcuWqW7duoqOjpbJZNKcOXP03XffKXfu3HrttdeshgfYws3NJDc3k6OjO4WHB+e/AQAApMdlhfVeEydO1KFDh7R69WodPHhQJpNJpUuX1iuvvKKff/5Zo0aNkq+vr5o1a2bzPv39c8hksi6ssacdndwx8uTJ4eoIAAAAhmSIwjpx4kQtXrxYU6ZMUWBgoMqVK6dGjRopd+7ckqTy5cvrr7/+0kcffWRXYb106VqmOcIaF3fN1REAAAAeO1sO2rm8sIaFhemjjz7SxIkT1bx5c0mSyWSylNVUpUuX1s6dO+3ad0qKWSkpZkdFdarbt1NcHQEAAMCQXDpwcubMmVq5cqUmT56sVq1aWZZPmzZNXbt2tdr2yJEjKl269GNOCAAAAFdzWWGNjo7WrFmz1KNHDwUHBys2Ntby06hRI/38889asGCBTp48qRUrVmj9+vXq1q2bq+ICAADARUxms9kl35nPmzdPkyZNSnfd0aNHtWXLFk2fPl1//fWXihQpooEDB+qZZ56x6zFiY6+mWRYX82eG8jpbnoIcPQYAAFlPvnw5H7qNywrr40BhBQAAMDZbCiuTfwIAAMDQKKwAAAAwNAorAAAADI3CCgAAAEOjsAIAAMDQKKwAAAAwNAorAAAADI3CCgAAAEOjsAIAAMDQKKwAAAAwNAorAAAADI3CCgAAAEOjsAIAAMDQKKwAAAAwNAorAAAADI3CCgAAAEOjsAIAAMDQKKwAAAAwNAorAAAADI3CCgAAAEOjsAIAAMDQKKwAAAAwNAorAAAADI3CCgAAAEOjsAIAAMDQKKwAAAAwNAorAAAADI3CCgAAAEOjsAIAAMDQKKwAAAAwNAorAAAADI3CCgAAAEOjsAIAAMDQKKwAAAAwNAorAAAADI3CCgAAAEOjsAIAAMDQPOzZ+NatWzp8+LBiYmKUmJgoHx8fFShQQBUqVJCHh127AgAAAGxiU8s0m82KiorS4sWLdfXq1TTrfX191a1bN/Xp08fhAQEAAJC12VRYp0+frhUrVujtt99W3bp1lT9/fnl7eysxMVEXLlzQjh07NHnyZKWkpKhfv37OzgwAAIAsxKbC+sknnyg8PFxNmjSxWp4tWzYVL15cxYsXV0BAgMLCwiisAAAAcCibTrq6ceOGSpYs+cBtihUrpvj4eEdkAgAAACxsKqwhISGKjIxUQkJCuuuvXbumSZMmKTg42KHhAAAAAJPZbDY/bKMzZ86oW7duiomJUcWKFVWoUCF5eXkpKSlJFy5c0MGDB5U/f37Nnz9fxYoVexy5bRIbm/YEsbiYP12Q5OHyFCzt6ggAAACPXb58OR+6jU2FVZJu376tL7/8Unv37lVMTIxu3rwpb29vFSpUSLVq1VLTpk3l5eX1yKEdicIKAABgbA4trJkRhRUAAMDYbCmsNs/2f/nyZX388cfas2ePzp07p6SkJMuFA2rVqqX27dsrd+7cj5IXAAAASMOmI6yHDx/Wa6+9Jh8fH4WEhKSZh3XPnj1KTEzUhx9+qKCgoMeR2yYcYQUAADA2hw0J6NSpk4oWLarw8HC5u7unWZ+cnKxhw4bp3LlzWrp0acbSOgGFFQAAwNhsKaw2TWt14MAB9ezZM92yKknu7u7q1auXDhw4YF9CAAAA4CFsKqz58uXTkSNHHrjN/v37GcMKAAAAh7PppKvXXntNI0aM0NGjR1W3bl0VLFjQah7W3bt368MPP9SAAQOcnRcAAABZjM3TWq1bt05z587VX3/9JZPJJElKvWupUqXUrVs3vfjii85LmgGMYQUAADA2p8zDeunSJcXExOjGjRvKli2bChUqJH9//wyHdCYKKwAAgLE5dB5WSbp165ZOnz6tmJgYJSYmysfHR2azWX5+fvLwsGtXAAAAgE1saplms1lRUVFavHixrl5Ne9TS19dX3bp1U58+fRweEAAAAFmbTYV1+vTpWrFihd5++23VrVs3zYUDduzYocmTJyslJUX9+vVzdmYAAABkITYV1k8++UTh4eFq0qSJ1fJs2bKpePHiKl68uAICAhQWFkZhBQAAgEPZNA/rjRs3VLJkyQduU6xYMcXHxzsiEwAAAGBhU2ENCQlRZGSkEhIS0l1/7do1TZo0ScHBwQ4NBwAAANg0rdWZM2fUrVs3xcTEqGLFiipUqJDVhQMOHjyo/Pnza/78+SpWrNjjyG0TprUCAAAwNofOw3r79m19+eWX2rt3r2JiYnTz5k15e3urUKFCqlWrlpo2bSovL69HDu1IFFYAAABjc8qFAzITCisAAICx2VJYbRrDKkkbNmxQ586d1aZNm3THs166dCnNLAIAAADAo7KpsH7yyScaMWKEihcvrmrVqmn58uV64YUXdPbsWcs2KSkpVrcBAAAAR7CpsC5ZskSjR4/WuHHjFBYWpo0bN8rDw0OdO3dWbGysszMCAAAgC7OpsJ4+fVpPPPGE5XbhwoW1ePFimUwmvf766/ed7goAAAB4VDYV1vz58+vgwYNWy/Lmzat58+YpJiZGvXv31s2bN50SEAAAAFmbTYX1xRdf1JgxYzRv3jydP3/esrx06dKaNWuWDh48qG7dujktJAAAALIumwpr9+7d1bVrVy1fvlwnTpywWhccHKxFixZl6MHPnz+vAQMGqHbt2mrQoIEiIiKUmJgoSTp16pS6du2q6tWrq2XLlvrhhx8y9BgAAADI3Oyeh9VsNstkMqVZnpycrN9//101atSweT8dOnSQn5+f3nnnHcXHx2v48OFq0qSJ3nnnHbVt21aBgYHq3bu3tmzZotmzZ+uLL75Q4cKFbc7KPKwAAADGZss8rB727jS9sipJ7u7uNpdVSfrzzz+1b98+/fjjj8qbN68kacCAARo/fryeeuopnTp1SitXrlT27NlVpkwZ7dixQ2vWrFH//v3tjQwAAIBMzOYLBzhavnz5NH/+fEtZTZWQkKDffvtNFStWVPbs2S3Lg4ODtW/fvsecEgAAAK5m9xFWR/Hz81ODBg0st1NSUrRs2TLVrVtXsbGxyp8/v9X2AQEBiomJsesx3NxMcnNL/4iw0Xh4uOx3BwAAAENzWWG918SJE3Xo0CGtXr1aixYtkpeXl9V6Ly8vJSUl2bVPf/8caYYwxJ5+5KhOkSdPjodus3HF0seQxH6tOnZ2dQQAAPAvluHCevbsWUVHR6tWrVq6du2aAgICMhxi4sSJWrx4saZMmaLAwEB5e3vr8uXLVtskJSUpW7Zsdu330qVrmeYIa1zcNVdHyLDMnB0AALiWLQft7C6sSUlJGjJkiDZt2iQ3Nzdt3rxZ48eP17Vr1zRjxgz5+vratb+wsDB99NFHmjhxopo3by5JKlCggI4fP2613cWLF9MME3iYlBSzUlLsmgTBZW7fTnF1hAzLzNkBAIDx2T1wcvbs2Tpy5IgWL14sb29vSVLnzp31999/KzIy0q59zZw5UytXrtTkyZPVqlUry/Jq1arp4MGDVlfP2rt3r6pVq2ZvXAAAAGRydhfWjRs3atSoUapTp45lWZ06dTRu3Dht3brV5v1ER0dr1qxZ6tGjh4KDgxUbG2v5qV27tgoVKqRhw4bpjz/+0Lx58/T777+rffv29sYFAABAJmf3kIDz58+rePHiaZYXKlRI8fHxNu9n69atSk5O1uzZszV79myrdUePHtWsWbM0YsQIhYaGqkSJEoqKirLrogEAAAD4d7C7sKZO4v/iiy9aLd+4caPKli1r83569uypnj173nd9iRIltGzZMnvjAQAA4F/G7sLav39/DRw4UMePH1dycrLWrVunEydOaPPmzZoyZYozMgIAACALs3sMa6NGjTR9+nQdOHBA7u7uWrBggU6dOqUpU6ZYzvIHAAAAHCVD87A2aNBAlStXlr+/vyTp999/V6VKlRwaDAAAAJAycIT15MmTatGihebPn29Z1rNnT7Vt21bnzp1zaDgAAADA7sIaHh6uEiVKqGvXrpZlX3zxhQoVKqSIiAhHZgMAAADsL6x79uzR0KFDra465e/vr3feeUc7d+50aDgAAADA7sLq4eGhK1eupFl+48YNmc2Z4zKoAAAAyDzsLqxPPfWUxo4dq5MnT1qWnTp1ShEREWrQoIFDwwEAAAB2zxIwZMgQvfbaa2revLn8/PwkSVeuXFGlSpU0bNgwhwcEAABA1mZ3YQ0ICNC6dev0008/6Y8//pCHh4fKli2rJ554QiaTyRkZAQAAkIVlaB5Wd3d3NWjQgCEAAAAAcDq7C2tsbKymTp2qX375Rbdu3UpzotXWrVsdFg4AAACwu7COGjVKBw4cUKtWrZQzZ05nZAIAAAAs7C6sO3fu1Pz58xUSEuKMPAAAAIAVu6e1yp49uwICApyRBQAAAEjD7sLatm1bzZ8/X8nJyc7IAwAAAFixe0jA5cuX9fnnn+vbb79VsWLF5OXlZbV+yZIlDgsHAAAAZGhaq9atWzs6BwAAAJAuuwtrRESEM3IAAAAA6bKpsK5fv14tW7aUl5eX1q9f/8Bt27Vr54BYAAAAwB02FdahQ4eqQYMGCggI0NChQ++7nclkorACAADAoWwqrEeOHEn3zwAAAICz2T2t1d1u376tgwcP6vz5847KAwAAAFixubBu2LBBoaGhOnv2rCQpOjpazzzzjNq3b69GjRppxIgRzM0KAAAAh7OpsG7evFlDhw5VyZIllS1bNkl3xrVeuXJFc+bM0dKlS7V3717mYAUAAIDD2VRYly5dqj59+mjy5Mny9/fXsWPHtH//fnXq1ElPP/20goOD9eabb2rt2rXOzgsAAIAsxqbCeuTIEbVs2dJye+fOnTKZTGrUqJFlWYUKFXTy5EnHJwQAAECWZlNhvXXrlry9vS239+zZo+zZs6tKlSqWZbdv35anp6fjEwIAACBLs6mwlipVSgcPHpQkJSYm6qefflLdunXl7u5u2Wbbtm0qWbKkU0ICAAAg67JpHtbQ0FCNHTtWMTEx2rlzpxISEvTyyy9LkpKSkrR161bNnj1bb775pjOzAgAAIAuyqbB26dJFcXFxmj17ttzc3DR06FA9+eSTkqRx48Zp1apVatu2rTp16uTUsAAAAMh6TGaz2fwoOzh69KgkKSgoyCGBHCk29mqaZXExf7ogycPlKVj6odvs/nq984NkQO1m7VwdAQAAZFL58uV86DY2HWF9ECMWVQAAAPx7PNKlWQEAAABno7ACAADA0CisAAAAMDQKKwAAAAzN7sKalJSkOXPm6O+//5YkjRgxQjVq1FD37t0VFxfn8IAAAADI2uwurJGRkfrwww+VkJCg7777TuvWrVOvXr107do1TZgwwRkZAQAAkIXZXVi//PJLTZ48WZUqVdLWrVtVu3ZtvfHGGxo5cqS+/fZbJ0QEAABAVmZ3Yb18+bLKlCkjSfrxxx9Vv359SVLu3Ll18+ZNx6YDAABAlmf3hQOKFy+u/fv3659//tHp06fVoEEDSdKWLVtUtGhRhwcEAABA1mZ3YX399dc1aNAgubm5qW7duipfvryioqIUFRWl8PBwZ2TEv8Syye+5OkK6Xhk0xtURAADAA9hdWNu1a6cKFSro1KlTeuqppyRJVapU0YIFC/TEE084PCAAAACyNrvHsJ46dUpBQUFq2rSpvLy8JElPPfWUatWqpenTpzs8IAAAALI2uwvrq6++qrNnz1otO3TokJ5//nnNnz/fYcEAAAAAKQOFtXLlyurcubNiYmJ069YtTZkyRf/5z3+UM2dOrVu3zhkZAQAAkIXZPYZ1ypQpevvtt9W5c2dly5ZN586d08iRI9WhQwdn5AMAAEAWZ/cRVnd3d0VGRqpGjRqKjo7WwoULKasAAABwGpuOsA4bNizNMpPJJA8PDw0ePFghISGW5REREY5LBwAAgCzPpsJ6+vTpdJdXq1btgesBAACAR2VTYV26dOkD1yclJVmmuAIAAAAcye4xrImJiRo2bJjmzp1rWdaiRQuNGjVKSUlJDg0HAAAA2F1YIyIitGfPHtWoUcOybNiwYdq1a5emTJni0HAAAACA3YV1y5YtmjBhgmrXrm1Z1qxZM40bN04bN250aDgAAADA7sJ67do1+fn5pVnu7++v+Ph4h4QCAAAAUtldWKtXr6758+crJSXFssxsNmvx4sWqUqWKQ8MBAAAAdl/pauDAgXr11Ve1a9cuVa5cWZJ08OBBXb58WQsXLnR4QAAAAGRtdh9hrVq1qj799FO1atVKSUlJSklJUevWrbVp0ybLvKwAAACAo9h9hFWSihUrpsGDBzs6CwAAAJCGzZdmHTFihHx9fdO9TOvduDQrAAAAHMnmS7OmnmTFZVgBAADwONl9adaHXaYVAAAAcCSbx7Du379fGzdulLe3t5555hlVqlTJmbkAAAAASTYW1i1btmjAgAHKli2bJGn+/PkKDw9X27ZtnRoOAAAAsGlaq7lz5yo0NFS7du3Snj179PLLL2v69OnOzgYAAADYVliPHz+uHj16yNPTU25uburbt6/Onj3LpVgBAADgdDYV1ps3bypHjhyW23ny5JGXl5euXr3qtGAAAACAZGNhNZvNMplM1nd0c5PZbHZKKAAAACCVzZdmvbewOlJSUpJat26tXbt2WZaNHTtWQUFBVj/Lli1zWgYAAAAYk83TWo0dO1be3t6W27du3dLEiROthgpI9l/pKjExUYMHD9Yff/xhtTw6OlqDBw/W888/b1nm6+tr174BAACQ+dlUWGvVqqXY2FirZTVq1FBcXJzi4uIy/ODHjx/X4MGD0x1aEB0dre7duytfvnwZ3j8AAAAyP7uvdOVIu3fvVp06dTRw4EBVr17dsjwhIUHnz59XyZIlnfK4AAAAyDxsHhLgDB07dkx3eXR0tEwmk+bMmaPvvvtOuXPn1muvvWY1PAAAAABZg0sL6/38+eefMplMKl26tF555RX9/PPPGjVqlHx9fdWsWTOb9+PmZpKbm/NOFnMkDw+bz38znMycXcr8+QEA+LczZGFt166dGjVqpNy5c0uSypcvr7/++ksfffSRXYXV3z9HmtkNYk87Mqnj5MmT4+EbGVRmzi7Znn/SOz2dnCRjBk+Y5+oIAAA4lSELq8lkspTVVKVLl9bOnTvt2s+lS9cyzRHWuLhrro6QYZk5u0R+AABcyZYDR3YX1mHDhmnEiBFpppi6fPmyhg8frlmzZtm7yzSmTZumX3/9VYsWLbIsO3LkiEqXLm3XflJSzEpJyRwXN7h9O8XVETIsM2eXyA8AgNHZVFj37t2rU6dOSZLWr1+vSpUqpSms0dHR2rFjh0NCNWrUSPPmzdOCBQvUrFkz/fDDD1q/fr2WLFnikP0DAAAg87CpsJpMJg0dOtTy57Fjx6bZJnv27OrevbtDQlWtWlXTpk3T9OnTNW3aNBUpUkSTJk1SjRo1HLJ/AAAAZB42FdaSJUvqyJEjku6cAPXjjz8qICDAoUGOHj1qdbtp06Zq2rSpQx8DAAAAmY9N8/k0b95c586dkyQ9//zzVpdoBQAAAJzJpiOsycnJ+uGHH1SvXj2tX79er7zyivLkyZPutoULF3ZoQAAAAGRtNhXWtm3batSoUZY5Tdu3b59mG7PZLJPJpMOHDzs2IQAAALI0mwrrmDFj1KFDB8XHx6tLly6aMWOGcuXK5exsAAAAgO3zsAYFBUmSIiIi9PTTT8vLy8tpoQAAAIBUdl844Pnnn9eRI0d07NgxpaTcmbDcbDYrKSlJ+/fvT3fKKwAAACCj7C6sH374ocaPHy/pzpysZrPZ8ueQkBDHpgMAAECWZ9O0Vndbvny5evTood9++0158uTR9u3btWHDBpUpU0ZNmjRxRkYAAABkYXYX1piYGL344ovy9vZW+fLltX//fgUFBWno0KFavXq1MzICAAAgC7O7sGbPnl3JycmSpOLFi+v48eOSpDJlyujMmTOOTQcAAIAsz+7CWrNmTc2bN083btxQxYoV9c033yglJUV79+5Vjhw5nJERAAAAWZjdhXXQoEH6/vvvtXz5crVq1UoXL15U7dq1NWTIEIWGhjojIwAAALIwu2cJKFKkiLZs2aLr168rR44c+vjjj/X555+rYMGCatGihTMyAgAAIAuz+whru3btFB0dLX9/f0lS3rx51bVrV8oqAAAAnMLuwnrjxg1ly5bNGVkAAACANOweEtClSxf1799fnTp1UvHixdOU11q1ajksHAAAAGB3YZ08ebIkKSwsLM06k8mkw4cPP3oqAAAA4P/YXVi3bt3qjBwAAABAujI0SwAAAADwuNhcWJOTk7Vu3Tpt3LhRR44c0dWrV+Xn56cKFSqoTZs2atOmjUwmkzOzAgAAIAuyqbDeuHFDvXr10s8//6zg4GA9++yzypkzpxISEnTw4EENGTJE69ev19y5c+Xl5eXszAAAAMhCbCqss2bN0okTJ7R69WpVqlQpzfoDBw6of//+WrZsmbp16+bwkAAAAMi6bJqHdfPmzRo6dGi6ZVWSKleurEGDBmndunUODQcAAADYVFhjYmJUtWrVB25TrVo1nTx50iGhAAAAgFQ2FdakpCRlz579gdtkz55dSUlJDgkFAAAApLL70qwAAADA42TztFabNm2Sr6/vfddfvXrVIYEAON73n3/g6gjpatB6qE3bnflzoZOTZEyR0pxkCgCPg82FdezYsQ/dhnlYAQAA4Gg2FdYjR444OwcAAACQLsawAgAAwNAorAAAADA0CisAAAAMjcIKAAAAQ7OpsD711FM6f/68JGnmzJm6ceOGU0MBAAAAqWwqrPHx8Tp69KgkKSoqisIKAACAx8amaa2efvpp9ezZUyaTSWazWfXr17/vtocPH3ZYOAAAAMCmwjpp0iR9//33io+P17BhwzRs2DDlzJnT2dkAAAAA2wqrp6enGjduLEk6c+aMXnzxRfn4+Dg1GAAAACDZcWnWVP369dO5c+cUFRWlY8eOycPDQ+XKldN//vMfFSlSxBkZAQAAkIXZPa3V0aNH1aZNG23YsEGenp4ym81au3at2rZtqz/++MMZGQEAAJCF2X2EdcKECapTp44mTZokb29vSVJiYqLeeustRUZGau7cuQ4PCQAAgKzL7iOsv/zyi/r3728pq5Lk7e2tvn37au/evQ4NBwAAANhdWHPkyKFbt26lWZ7eMgAAAOBR2T0koG7dupowYYKmT5+u3LlzS5IuXbqkiRMn6oknnnB0PgDI9LyzfebqCOlKvPmcqyMAgE3sLqxvvfWWOnTooEaNGqlkyZKSpL/++ku5c+dWeHi4o/MBAAAgi7O7sBYsWFAbN27Uhg0b9Mcff8hsNus///mPnnvuOfn6+jojIwAAALIwuwurdGcca8eOHR2dBQAAAEjD7pOuAAAAgMeJwgoAAABDo7ACAADA0OwurGPHjtXJkyedkQUAAABIw+7Cum7dOrm5cWAWAAAAj4fdzfPpp5/WsmXLdO3aNWfkAQAAAKzYPa1VbGysvvjiCy1evFgBAQHy9va2Wr9161aHhQMAAADsLqx16tRRnTp1nJEFAAAASMPuwtqvXz9n5AAAAADSlaGzp44cOaJhw4apQ4cOOn/+vJYvX67du3c7OhsAAABgf2E9cOCAXnzxRZ0+fVoHDhxQUlKSDh8+rG7dumn79u3OyAgAAIAszO7CGhkZqW7dumnp0qXy9PSUdGdu1k6dOmnGjBkODwgAAICsLUNHWNu1a5dmeadOnRQdHe2ITAAAAICF3YXV09NTCQkJaZafO3dOPj4+DgkFAAAApLK7sDZt2lRTp07VlStXLMuio6M1btw4NWzY0JHZAAAAAPsL65AhQ3Tt2jXVrVtXN27cUGhoqFq3bi13d3e98847zsgIAACALMzueVh9fX21cuVK7dixQ4cOHVJKSooCAwPVoEEDubllaJYsAAAA4L7sLqypihYtquvXr8vLy0tly5alrAIAAMAp7C6s8fHxGj58uL755huZzWZJkpubm9q1a6cxY8bI29vb4SEBAACQddl9WHTs2LGKjo7WggULtGfPHu3evVszZ87Uzp07NX78eGdkBAAAQBZm9xHWb775RnPnzlVISIhlWePGjeXt7a1BgwZp9OjRDg0IAACArC1D87D6+vqmWe7v76+UlBSHhAIAAABS2V1Yu3TpovDwcF26dMmy7Pr165oyZYo6duzo0HAAAACATUMCGjduLJPJZLl95swZNW7cWCVKlJC7u7tOnDihxMRExcfHZyhEUlKSQkNDNWrUKNWpU0eSdOrUKY0aNUr79u1T4cKFNXz4cD355JMZ2j8AAAAyL5sK6/PPP29VWB0pMTFRgwcP1h9//GFZZjab1bdvXwUGBmrNmjXasmWL+vXrpy+++EKFCxd2Sg4AAAAYk02FtX///k558OPHj2vw4MGW6bFS7dy5U6dOndLKlSuVPXt2lSlTRjt27NCaNWuclgUAAADGlKELB3z77bc6duyYkpKSrJabTCb17dvX5v3s3r1bderU0cCBA1W9enXL8t9++00VK1ZU9uzZLcuCg4O1b9++jMQFAABAJmZ3YX3//fe1YsUKBQQEpLlIgL2F9X4nacXGxip//vxWywICAhQTE2NXVjc3k9zcnDOUwdE8PDLvlcIyc3aJ/K6UmbNL5AeAx8Xuwrpx40a9++676tChgzPySJJu3LghLy8vq2VeXl5pjug+jL9/jjRjb2NPP3I8p8iTJ4erI2RYZs4ukd+VbM3+t5NzZJSt+a9cdXKQDMrM7x0AWYvdhdXDw8NyJr+zeHt76/Lly1bLkpKSlC1bNrv2c+nStUxzhDUu7pqrI2RYZs4ukd+VMnN2yfb87hkafOV8mf31B/DvYMsvz3Z/jHbs2FFz5sxRWFhYmqOgjlKgQAEdP37catnFixfTDBN4mJQUs1JSzA/f0ABu3868F13IzNkl8rtSZs4u2Z7fqIU1s7/+ALIOuz9Gn332Wb388ssKDg5Wvnz50nzlvnXr1kcOVa1aNc2bN083b960HFXdu3evgoODH3nfAAAAyFzsLqxvv/22/Pz89MILL1idxe9ItWvXVqFChTRs2DD16dNH27Zt0++//66IiAinPB4AAACMy+7C+scff2j16tUKDAx0Rh5Jkru7u2bNmqURI0YoNDRUJUqUUFRUFBcNAAAAyILsLqxlypTRlStXHB7k6NGjVrdLlCihZcuWOfxxAAAAkLnYXVh79Oih4cOHq3v37ipevLg8PKx3UatWLYeFAwAAAOwurIMGDZIkjRkzJs06k8mkw4cPP3oqAAAA4P/YXVgdMQsAAAAAYCu7C2uRIkWckQMAAABIl92FtUuXLg9cv2TJkgyHAQAAAO71yEdYb9++rb///lvHjh3Tq6++6rBgAAAAgJSBwnq/yfujoqIUExPzyIEAAACAu7k5akdt27bVpk2bHLU7AAAAQJIDC+uvv/4qd3d3R+0OAAAAkOSgk64SEhJ09OhRdezY0SGhAAAAgFQOmdbK09NTr7zyitq0aeOQUAAAAEAqh510BQAAADiDTYX17NmzNu+wcOHCGQ4DAAAA3Mumwtq4cWOZTKaHbmcymXTo0KFHDgUAAACksqmwPujqVZcvX1ZkZKROnjypZs2aOSwYAAAAINlYWGvXrp3u8q1bt+r999/X7du3NWnSJLVq1cqh4QAAAAC7T7qSpCtXrigsLEyff/65mjRpovfee08BAQGOzgYAAADYX1i3bdum0aNHKykpSRMmTNBzzz3njFwAAACAJDsK69WrVxUWFqZPP/1UjRs31vvvv6+8efM6MxsAAABgW2H99ttvNXr0aCUmJmrChAlcIAAAAACPjU2F9Y033pAk5cqVS9OmTdO0adPuu+3WrVsdkwwAAACQjYW1b9++Ns3DCgAAADiaTYW1f//+zs4BAAAApMvN1QEAAACAB6GwAgAAwNAorAAAADA0CisAAAAMjcIKAAAAQ7NploDy5cvbPK3V4cOHHykQAAAAcDebCmt4eDjzsAIAAMAlbCqsoaGhzs4BAAAApMumwnqvrVu36tixY0pOTrYsS0pK0v79+/Xhhx86LBwAAABgd2GNjIzU/PnzlTdvXv3zzz8qUKCALl68qOTkZLVq1coZGQEAAJCF2T1LwGeffabhw4frhx9+UP78+bVixQr98MMPqlmzpooVK+aMjAAAAMjC7C6s//zzjxo3bixJCgoK0u+//67cuXNr4MCB+uKLLxweEAAAAFmb3YXVz89P169flyQVL15cx48flyQVLlxY58+fd2w6AAAAZHl2F9Y6deooMjJS58+fV7Vq1fTll1/q0qVL2rx5s/z9/Z2REQAAAFmY3YX17bff1oULF7Rp0yY1b95cXl5eql+/viZMmKAuXbo4IyMAAACyMLtnCShcuLDWr1+vxMREeXl5afny5frhhx9UoEABValSxRkZAQAAkIXZfYS1SZMmunz5sry9vSVJPj4+atasmQoUKKC6des6PCAAAACyNpuOsH7xxRf6/vvvJUlnzpzR+++/bymsqc6cOcPlWwEAAOBwNhXWGjVqaOXKlTKbzZKks2fPytPT07LeZDIpe/bsGj9+vHNSAgAAIMuyqbAWKlRIS5YskSR17txZM2fOVK5cuZwaDADgensTl7s6wn0Fe3dydQQAj4ndJ10tXbpUkhQdHa1jx47J09NTZcqUUalSpRweDgAAALC7sCYlJWnQoEHasmWLZZnJZFKjRo00depUeXl5OTQgAAAAsja7ZwmYPHmyfv/9d0VFRennn3/Wrl27NGPGDB06dEgzZsxwRkYAAABkYXYX1s8//1zvvfeemjRpopw5cypXrlxq2rSpxowZo88++8wZGQEAAJCF2V1Yr127ptKlS6dZXqpUKV26dMkhoQAAAIBUdhfWwMBAffnll2mWb9q0iROvAAAA4HB2n3TVu3dv9enTR4cPH1bNmjUlSXv37tXXX3+tSZMmOTwgAAAAsjabCmuFChX0ww8/KCAgQA0bNtS0adP0v//9T99++63MZrOCgoI0depUPfPMM87OCwAAgCzGpsKaeoWrVM2aNVOzZs2cEggAAAC4m91jWAEAAIDHyeYxrJs2bZKvr+9Dt2vXrt2j5AEAAACs2FxYx44d+9BtTCYThRUAAAAOZXNh/fHHHxUQEODMLAAAAEAaNo1hNZlMzs4BAAAApMumwnrvLAEAAADA42JTYX3++efl7e3t7CwAAABAGjaNYY2IiHB2DgAAHG76+ShXR0jXgAJ9XR0ByFSYhxUAAACGRmEFAACAoVFYAQAAYGgUVgAAABgahRUAAACGRmEFAACAoVFYAQAAYGgUVgAAABgahRUAAACGZujC+vXXXysoKMjqZ8CAAa6OBQAAgMfIpkuzusrx48fVqFEjhYWFWZZ5e3u7MBEAAAAeN0MX1ujoaAUGBipfvnyujgIAAAAXMfSQgOjoaJUsWdLVMQAAAOBChi2sZrNZJ06c0A8//KDmzZuradOmioyMVFJSkqujAQAA4DEy7JCAs2fP6saNG/Ly8tLUqVN1+vRpjR07Vjdv3tTIkSNt2oebm0lubiYnJ3UMDw/D/u7wUJk5u0R+V8rM2aUskj/R+TkyKjO//pk5O+AKhi2sRYoU0a5du5QrVy6ZTCZVqFBBKSkpevvttzVs2DC5u7s/dB/+/jlkMlkX1tjTzkr8aPLkyeHqCBmWmbNL5HclW7P/7eQcGWVr/itXnRwkg2zKf835OTLKpvxnnJ8jI2x97zy5bZCTk2TMD40muzoCshjDFlZJyp07t9XtMmXKKDExUfHx8fL393/o/S9dupZpjrDGxRn4f4WHyMzZJfK7UmbOLtme392gn7RZ5fU3osycXcr8+WEstvwCZ9CPUen777/XW2+9pW+//VY+Pj6SpMOHDyt37tw2lVVJSkkxKyXF7MyYDnP7doqrI2RYZs4ukd+VMnN2yfb8Ri2sWeX1N6LMnF3K/PmR+Rh2EE2NGjXk7e2tkSNH6s8//9T27ds1YcIEvf76666OBgAAgMfIoL/3S76+vlqwYIHCw8P1wgsvKEeOHOrQoQOFFQAAIIsxbGGVpHLlyunDDz90dQwAAAC4kGGHBAAAAAAShRUAAAAGR2EFAACAoVFYAQAAYGgUVgAAABgahRUAAACGRmEFAACAoVFYAQAAYGgUVgAAABgahRUAAACGZuhLswIAgMypyqYFro5wX/uf7e7qCLATR1gBAABgaBRWAAAAGBqFFQAAAIZGYQUAAIChUVgBAABgaBRWAAAAGBqFFQAAAIZGYQUAAIChUVgBAABgaBRWAAAAGBqFFQAAAIZGYQUAAIChUVgBAABgaBRWAAAAGBqFFQAAAIZGYQUAAIChUVgBAABgaBRWAAAAGBqFFQAAAIZGYQUAAIChUVgBAABgaBRWAAAAGBqFFQAAAIZGYQUAAIChUVgBAABgaBRWAAAAGBqFFQAAAIZGYQUAAIChUVgBAABgaBRWAAAAGBqFFQAAAIZGYQUAAIChUVgBAABgaBRWAAAAGBqFFQAAAIZGYQUAAIChUVgBAABgaBRWAAAAGBqFFQAAAIZGYQUAAIChUVgBAABgaBRWAAAAGBqFFQAAAIZGYQUAAIChUVgBAABgaBRWAAAAGBqFFQAAAIZGYQUAAIChebg6AAAAgNHUXRbj6gjp2vlKQZu2az5qu5OTZMzmsKczdD+OsAIAAMDQKKwAAAAwNAorAAAADI3CCgAAAEOjsAIAAMDQKKwAAAAwNAorAAAADI3CCgAAAEOjsAIAAMDQKKwAAAAwNEMX1sTERA0fPlwhISF68skntXDhQldHAgAAwGPm4eoADzJhwgQdOHBAixcv1tmzZzVkyBAVLlxYLVq0cHU0AAAAPCaGLazXr1/XJ598ov/973+qVKmSKlWqpD/++EPLly+nsAIAAGQhhh0ScOTIEd2+fVs1atSwLAsODtZvv/2mlJQUFyYDAADA42TYI6yxsbHKkyePvLy8LMvy5s2rxMREXb58Wf7+/g/dh5ubSW5uJmfGdBgPD8P+7vBQmTm7RH5XyszZpSySP9H5OTIqM7/+mTm7RH5XyszZpYznN5nNZrODszjE+vXrNW3aNG3bts2y7NSpU2ratKm2b9+uggULujAdAAAAHhfD1nRvb28lJSVZLUu9nS1bNldEAgAAgAsYtrAWKFBAcXFxun37tmVZbGyssmXLJj8/PxcmAwAAwONk2MJaoUIFeXh4aN++fZZle/fuVZUqVeTmZtjYAAAAcDDDNj8fHx+1a9dO7777rn7//Xdt2bJFCxcuVJcuXVwdDQAAAI+RYU+6kqQbN27o3Xff1VdffSVfX191795dXbt2dXUsAAAAPEaGLqwAAACAYYcEAAAAABKFFQAAAAZHYQUAAIChGfbSrK7WuHFjnTlzRpJkMpnk4+OjoKAg9e3bVw0aNEizjSTlzJlT9erV05gxYxQQEOCS3HcLCgrSkiVLVKdOnTTr1q5dq2HDhllue3h4qFixYnrjjTfUrl27x5jy/+vZs6cCAgIUERFhWfb5559r8ODB6tevn/r3729ZPmvWLG3evFl+fn7avXu31X5y5MihypUra+TIkQoMDHxs+W0RFBR033VFihTRN9988xjTpO9h7/0ZM2Zo5syZ971/RESEQkNDH1fcNGz5t9u5c+c075tUrsx/72eKyWSSn5+fgoODNXr0aBUqVMjwnzuZ2dChQ7Vu3br7ro+IiLD63Lxb7dq1tXTpUmdFe2Tnzp1TVFSUvvvuO125ckUlS5ZU165dXfZ5b49//vlHc+fO1datW3XhwgXlypVLDRo0UP/+/VW4cGFXx3uoez/3PT09Va5cOb366quGfv1Pnz6tJk2aaOvWrSpatKhl+SeffKJRo0Zp3LhxeuGFFx5fIDPS1ahRI/OiRYvMFy5cMMfExJiPHj1qHj9+vLlChQrmH3/8Md1tDh06ZO7SpYu5e/fuLk5/R2BgoHnnzp3prluzZo35qaeeMl+4cMF84cIF86lTp8xr1qwxV6pUyfzLL7885qR3zJ0719yqVSurZSNHjjQ/+eST5k6dOlkt79Gjh3ns2LHmV155xfzBBx9Ynsf58+fNe/bsMT///PPmZs2amZOTkx/nU3io1JwXLlwwv/TSS1bZ//nnH1fHM5vND3/vJyQkWDJv3rzZHBgYaPW8bty4Yej8ZrM5zfvGKPnvzp6a/4cffjA3adLE3Llz53Sfn9E+dy5evGgOCwszN2zY0Fy1alVzy5YtzfPnzzffunXLbDabzadOnTIHBgZafsqXL2+uX7++ecKECZZtXOXKlSuW137RokVWn5EXLlwwr1y5Ms2y1J+4uDiXZn+QEydOmJ944glz3759zb/88ov577//Nq9cudJctWpV84IFC1wd74FiYmLMDRs2NIeGhpp//PFH85kzZ8x79+419+rVy/zUU0+Z4+PjXR3xoQIDA82bN2+2vFdOnz5tnjdvnjkwMNC8e/duV8e7r9R/q6dOnbIs+/rrr80VKlQwf/jhh489D0dYHyBnzpzKly+fpDtX3nrnnXcUGxuriIgIffbZZ+luM3DgQL300ku6evWqcubM6bLstnB3d7dkl6SiRYtq48aN+vLLL1WjRo3Hnic4OFhTpkzRtWvXlCNHDknSrl271L17d0VGRurmzZuWy/L+9ttvevHFF3XkyBFlz57d6nnkz59fI0aMUMeOHXXs2DGVL1/+sT+X+7k7p6enZ5rsRvGw937q30+uXLkkyXDPwZZ/u5nhtZfu5B8wYIDefvttXb16Nc02RvrcOX/+vF5++WWVKlVKEydOVIECBbR//35FRkZq586dmjt3rmXbTz75RIUKFVJycrJOnDihoUOHKleuXOrZs6fL8ufMmdPy+uXMmTPNZ6Snp2eaZZnBe++9p/Lly2vGjBkymUySpOLFiyspKUmTJ09W+/btDXsFyfDwcPn5+emjjz6Sl5eXJKlw4cKKiopSq1attHr1anXr1s3FKR8uV65cVu+bHj16aM2aNfrqq69Uq1YtFyaz3Z49ezRo0CD17t3bJVOMMobVTi+99JKOHTumv//+O931Pj4+lg+EzCh79uwue+wqVarI09NTBw8elCTFxMTo7NmzevHFF5UzZ0798ssvkqQTJ04oPj5eISEh991X6gebu7u784NnEQ977xtdZs6f+n6+31X+jPK5Ex4eriJFimjevHkKCQlRsWLF1LJlSy1btkx79uzRRx99ZNnW399f+fLlU8GCBfXEE0+oU6dO2rRpkwvT/zvFxMRox44d6tq1a5r3SPv27fW///3PpZ/7DxIfH68tW7aod+/eln8Dqdzd3fXhhx+qc+fOLkr36Dw8POTp6enqGDY5duyYevfurZdeeslqeN7jRGG1U5kyZSRJx48fT7Pu2rVrmj9/vho2bGj4o6vp2bt3r3766Se1atXKJY/v5eWlatWq6ffff5ck7dy5U5UrV1aOHDlUq1Yt7dq1S5K0b98+lStXTnny5El3PxcuXNDUqVNVrlw5lS5d+rHl/7d70Hs/M8is+U+ePKl58+apQYMGliPbdzPK505cXJy2bNmiHj16pPlFsXDhwnrhhRf08ccf3/f+Pj4+zo6YJR09elRms1lVqlRJs87Hx0chISHy8DDml60HDhzQ7du373twolChQpmm8N0tMTFRy5cv1/Hjx9W4cWNXx3moc+fO6fXXX1fu3Lk1fPhwl+Uw5rvUwFL/Q7h27ZokacyYMQoLC5PZbNbNmzfl6empJUuWuDKizc6ePWv56v/WrVu6deuWmjdvrooVK7osU0hIiKWw7tq1y3LCWO3atfX5559LulNYa9eubbnP3LlztXDhQklScnKyJKlevXqaO3cuR1gd6N73fmZzb/673zd3+/XXXx9rrnulfqZI0u3bt+Xp6akmTZpY/UdhxM+dgwcP6vbt26patWq662vWrKmlS5cqKSkpzbpz587pk08+0fPPP+/smI/s7s/Nu7333ntq06aNCxI92JUrVyQpUx5EiYuLk/T/hx5Jd4aShIeHW24HBwdr/vz5jz2bve7+Re769evKnTu3hg4d+sBvCo3izTffVIkSJfTrr79qw4YNLjtRjMJqp4SEBEmSr6+vJGnAgAF65plnJN35YPjss8/UrVs3ffzxxypXrpzLctoif/78lrNab9++rRMnTuiDDz7QqFGjrM7Uf5xCQkK0fv16SXcKa+p/3LVr19YHH3ygpKQk7du3T71797bcp0OHDurcubOSkpK0ePFi/fTTTxo4cKCKFCniiqfwr3Xvez+zuTd/6vvGaFI/U65du6YZM2bozJkzGjx4sNU3Ckb83EktF+kdBZb+f+m4fPmyJKl169YymUxKSUnRzZs3VaJECbVt2/axZH0Ud39u3s2oMzTkzp1b0p33ib+/v2vD2Cl1XO3Vq1ct2Z999lnLAYulS5fq6NGjLstnj7Fjx6patWoymUzy9vZW/vz5DTGMxxblypXTvHnzNH78eIWHh6tevXrKnz//Y8/BkAA7pf7jSP1PISAgQCVKlFCJEiVUpUoVDR8+XPnz59fatWtdGdMmHh4eluxlypRR06ZN9eabb2rdunWW/9wftxo1aujChQvav3+/Lly4oJo1a0q683rnzJlTP//8s44fP251hDVXrlwqUaKEypUrp7CwMJUuXVq9evWynKACx7j3vZ/Z3Js/9X1z74+rpX6mVKxYUdOmTZMk9enTR7du3UqzjZE+d1KL0fnz59Ndf++Rvnnz5mn9+vVav369li1bpqJFi6pjx47pHoE1krs/N+/+MeovcpUqVZLJZNKBAwfSrLt+/bpee+01HTlyxAXJHq5y5cpyd3e3nL8g3fmFM/U1v/vIq9EVKFBAJUqUUPHixVWgQIFMU1alO98eeHl5aeDAgcqePbtGjx7tkhwUVjutWbNGlSpVUrFixR64XepX05mN2WyW2WxWSkqKSx4/e/bsqlChglatWqUqVapYxrWZTCbVqlVLa9euVcmSJe97pMBkMun9999XfHy8Jk2a9Dij/+vZ+t43qsyY38vLS2PHjtXhw4e1aNGih27vys+dSpUqycPDI91iJN0ZalGqVCnLv+nChQurRIkSKlWqlGrVqqUPPvhAJ06c0I8//vg4Y//r+fv7q379+lq8eLHMZrPVujVr1mjPnj0qVKiQi9I9mL+/v5o1a6Z58+bp9u3badbf75cjOFbqUAZfX1+NGTNG27Zts3wT+jgxJOABrl69qtjYWJnNZsXFxWn16tX64osvrMa9pW4j3RlIvW7dOv39999q0aKFq2Jb+f3335WYmGi1LHUKjeTkZEt2s9mskydPatasWXryySddOsVJrVq1tHLlSnXp0sVqee3atRUZGfnQ8TOFCxdWr169NG3aNL300kuqUKGCE9P+O9ny3jcyW/Jfv37d8v6/m4+Pj6GOllWtWlXt27fXrFmzLGMkjfi54+/vr6ZNm2rOnDlq2rSpPDw8tHTpUm3fvl09e/bUunXr9MYbb9z3/qllyui/7N/9uXk3k8mkvHnzuiDRww0bNkwvv/yy/vvf/+r1119Xzpw5tW3bNk2dOlWDBw829JHKUaNGqVOnTurcubPeeOMNlSlTRufOndPSpUu1efPmB76n4HiNGjXSs88+65KhARTWBwgPD1d4eLhMJpP8/f1VsWJFLVq0yGqQdOo2kuTt7a2yZctq6tSplq+yXS0yMjLNsq+++krSnelOnnzySUl3psvJnTu3mjZtqoEDBz7WjPcKDg7WwoUL01yhq3bt2rpx44bVcID76datm9asWaOwsDCtWLHCWVH/tWx57xuZLfkXLlyYbgFv3769xo0b9zjjPtTAgQO1efNmTZw4UZJxP3dGjBihl19+WT169FDfvn1Vp04dbdq0SZ07d1bx4sXVpUsXy1GxS5cuydvbW9Kdca1Tp05Vnjx5VLduXVc+hYe6+3Pzbu7u7jp06JALEj1c2bJltWLFCs2YMUO9e/fWtWvXVLp0aY0bN07PPfecq+M9UN68ebV69WrNnz9f4eHhOnv2rHLkyKGQkBAtXbrUpv8P4FgjR45Uy5YtNXr0aM2ZM+exPa7JfO93BAAAZNA///yjqKgobd26VXFxcSpcuLAaN26sr7/+WsWLF1e/fv3UoUMHq/v4+voqODhYb775pktnKQFgXBRWAIDTXb9+XatWrdJLL71k2InqARgXhRUAAACGxiwBAAAAMDQKKwAAAAyNwgoAAABDo7ACAADA0CisAAAAMDQKKwAAAAyNwgoAAABDo7ACAADA0CisAAAAMDQKKwAAAAzt/wGdWZbYVGNwSAAAAABJRU5ErkJggg=="
},
"metadata": {}
}
],
"metadata": {}
},
{
"cell_type": "markdown",
"source": [
"## This code block is really simple and gives us a single graph totalling all picks for each team."
],
"metadata": {}
},
{
"cell_type": "code",
"execution_count": 28,
"source": [
"import seaborn as sns\r\n",
"\r\n",
"# Picking style of graph\r\n",
"sns.set_style(\"white\", {\"xtick.major.size\": 0, \"ytick.major.size\": 0})\r\n",
"\r\n",
"# Creating a countplot (density)\r\n",
"sns.countplot(y=\"Team\", data=data, order=data['Team'].value_counts().index, palette='cividis', orient='h' ).set_title('NFL Players Drafted Since 2000 by Team')\r\n",
"\r\n",
"# Removing some of the borders to make it a little easier to read\r\n",
"sns.despine(left=True, bottom=True)"
],
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
""
],
"image/png": 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"
},
"metadata": {}
}
],
"metadata": {}
},
{
"cell_type": "markdown",
"source": [
"## This code block is similar to the one above it, except that it totals the position feature."
],
"metadata": {}
},
{
"cell_type": "code",
"execution_count": 31,
"source": [
"import seaborn as sns\r\n",
"sns.set_style(\"darkgrid\", {\"xtick.major.size\": 0, \"ytick.major.size\": 0})\r\n",
"ax = sns.countplot(y=\"Position\", data=data, order=data['Position'].value_counts().index[:25], palette='Set1', orient='v' ).set_title('Total Number of Draft Picks by Position Since 2000')\r\n",
"sns.despine(left=True, bottom=True)"
],
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
""
],
"image/png": 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"
},
"metadata": {}
}
],
"metadata": {}
},
{
"cell_type": "markdown",
"source": [
"## Another similar chart but totalling picks by round"
],
"metadata": {}
},
{
"cell_type": "code",
"execution_count": 33,
"source": [
"import seaborn as sns\r\n",
"sns.set_style(\"white\", {\"xtick.major.size\": 0, \"ytick.major.size\": 0})\r\n",
"sns.countplot(y=\"Round\", data=data, order=data['Round'].value_counts().index, palette='gist_earth', orient='h' ).set_title('Total Number of Draft Picks per Since 2000')\r\n",
"sns.despine(left=True, bottom=True)\r\n"
],
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
""
],
"image/png": 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FlSpVSlLGn+dZrFgxjRgxQgMGDFBsbKwCAwMztB3pxk9LyJ8//23f5+fnd11N0pVHgqV9X6NHj9bo0aOve2/a5eM0aSNAN3Py5MkbXhpP649Tp07dtt70OnLkiKQr8w5vVd+cOXM0Y8YMJScnq3jx4qpWrZq8vb2vC/gZ9fDDD9uB0cPDQ97e3ipduvQtb6ZJTk5W4cKFbxtIdu3apYYNG+rbb7/V/Pnz3a4GDB8+XHfddZc+/fRTRUZGKjIyUi6XS6NGjVKlSpVuus2rv680xYoV0y+//GLXtn//flWtWvWG77962kx6jr80hQoVUsuWLdWyZUtJ0vbt2zVo0CBFRUWpVatWKlKkyA3f5+3t7fY6V65c9v/HtOP3VqPMycnJ+vzzz/X5559ft+xWT7RIs3PnTr344os6c+aMZs+e7fZ/2MfH57r5ttKVR2T5+vpKkv33mTNn3KbXpI2i+vr62sE1bZT22nX+jU+jgJkIrsAdKly4sCTd8GSSlJR005Pj6dOn9fzzz8vf31/Lly9XuXLllCtXLq1atUorVqzIVE0tW7bUF198oWnTpikiIsJt2c1GZa49gWVG2sk9TVJSkqQrJ/uCBQtKkgYPHqyQkJDr3nujeay3UqhQIXv7N9rnzb7/jFizZo3uu+++GwaxNMuWLdPrr7+uQYMGqXXr1nZQCQ8P19atW7OkjsKFCysgIOCO3uPr66vk5GRZluU2Yrx9+3ZZlmWHxvr162vmzJnq16+fJk2apCZNmujuu++WdOWJC7169VKvXr2UmJiob775RjExMRowYICWL19+032n3ZR2tWPHjtnhz9fXVyEhIRo8ePAN33/1iPbtHDlyRG3atFF4eLieeeYZt2VVqlRRv3797BulMnJspB2/x48fd2s/ceKEtm/fLpfLJV9fXz344IP2zXpXu/pqxY2sW7dOYWFh8vX11fz586+b7lO2bFmtXr1aqampbj+E7N+/X+XLl7fXSWu7elrE/v37lSdPHt17772yLEu5c+fW/v373bafdhNY2raA7I5rA8AdKlu2rPz8/PTZZ5+5tR84cEBbtmxRcHCwJF13M8XevXuVnJyszp07q0KFCvZJ6LvvvpN0+8t9tzN69Gjlz5/ffqZnmrSRlMOHD9ttCQkJ14XNzEj7DGmWL18uDw8PhYSEqFy5cipWrJgOHjyogIAA+0/JkiU1ceLEW45Q30itWrW0efNmtxumJOnTTz+Vn5+ffbNJZn377bfaunWr2rdvf8v1Nm3apIIFC+r555+3Q2vaXdq36tNrj4+sVrNmTV28eNGtbyzLUkREhGbOnGm3pY1UR0REKHfu3Bo1apSkK08UePTRR/XOO+9IkkqVKqUOHTqoRYsWSkxMvOW+f/vtN7ebrI4cOaLNmzerbt26kq7Mn963b5/Kli3rdkx88sknWrRo0R19N8WLF5enp6c++OCD6552IV35f+fl5ZXh46JcuXIqUqSIPaUnzSeffKIePXro4sWLCgkJ0Z49e1S5cmX7s1SrVk3vvvuuVq5cedNtb9++XS+++KLuvvtuxcXF3XCOemhoqM6cOaPvv//ebjt+/Lg2btxo36zmcrmUP39+tx+ALcvSypUrFRISorx588rLy0s1a9bUypUr3a7urFixQr6+vredBwxkF4y4AncoV65c6t+/vyIiIjRgwAA9/vjjOnHihKKjo1WoUCF71CXt8t23336rQoUKqWzZsvLx8dGMGTPk6ekpT09PrVixQosWLZKkO36qwLWKFy+u4cOHa9CgQW7ttWvXVr58+fT6668rPDxcZ86c0dSpU+2R46ywdetWDR8+XC1bttTWrVs1depUPf300/YdzP369dPIkSOVO3duPfzwwzp16pRiYmJ05MiRm14uvpmuXbvq008/VZcuXdSnTx8VLlxYS5cu1bp16zR27Ng7nqt34cIFbdmyRdKVk/2pU6e0ceNGvffee6pdu7Y6dux4y/dXr15dCxYs0Ouvv66HH35YR48eVWxsrI4dO3bL0eS042Pt2rUqX758pqZ43EjDhg3lcrk0dOhQvfzyy7r33nv1ySefKCEhQZGRkdetX6JECfXr10+vvvqqPvvsM7Vs2dK+iz5Pnjzy9/fXvn379PHHH+vRRx+95b4ty9KLL76ofv36KXfu3Pb/jbRpCF26dNEnn3yiLl26qFu3bipSpIg+//xzffjhh9ddMbidtLAdFhamNm3aqEOHDipfvrzOnTunH374QfPnz1d4ePgdj+xfvf2XXnpJr776qooVK6ZGjRpp3759mjp1qjp06KBChQrZv7SkZ8+eat++vby8vBQXF6cvv/zS7Uazaw0fPlyXLl3SSy+9pEOHDtmPNZOuTDEoU6aMatWqpZCQEA0aNEiDBg1S4cKFNW3aNPn6+to/VHl7e6tbt26aPn268uTJI5fLpcWLF+uXX37Re++9Z2+zV69e6tq1q8LDw9WmTRtt3rxZsbGxGjBgwHXTJYDsiuAKZEDr1q1VoEABzZw5U2FhYfLx8VH9+vXVv39/e77nAw88oJYtW2r+/Pn6/vvv9dlnnykmJkbjx49XeHi4ChQooMqVK2vevHl64YUXtHHjxgw/zzPN448/ri+++EJff/213VawYEFNmzZNEydOVFhYmEqXLq0+ffpcd7NPZoSFhWnbtm168cUX5evrq+eff159+vSxlz/zzDMqUKCAZs+erbi4OOXPn1/BwcGaMGHCDeer3oqfn58WLFigiRMnasyYMbp48aIqVaqkmJgY+9modyIpKUlt27a1X+fPn19ly5ZV37591alTJ+XJk+eW73/qqad08OBBLV68WB988IFKliypBg0a6Nlnn9WIESOUkJBww8uwPj4+6tq1q+Li4rRq1Sr98MMPt93XncidO7dmzZqlCRMm6M0339S5c+fk7++vd95556aja+3bt9fSpUv12muvqV69enr11Vc1ZcoUvfPOO0pKSlKxYsX09NNPX3cT17VKlSqlbt26aezYsTp37pwefPBBvfXWW/YPSyVLltTChQs1ceJEjRo1SikpKbr//vv12muvXfd4qPRo2LChPvzwQ8XGxmrGjBk6fvy48ubNqypVqmjy5Ml65JFH7nibV+vQoYPy58+v2NhYxcXF6a677tILL7ygF154QZJUqVIlzZ8/X5MnT9bgwYNlWZYqVqyo6dOn3/SYPHDggH214eonOaR56qmn9Prrr0u68ji1119/XePHj1dqaqqCg4M1ZcoUtzAeFham3Llz68MPP9Q777yjChUqKCYmRjVq1LDXqVu3rqZNm6apU6cqLCxMJUuW1ODBg9WtW7dMfT/AP8nD4pcUAwCyyNChQ7Vhwwa3H54AIKswxxUAAABGILgCAADACEwVAAAAgBEYcQUAAIARCK4AAAAwAsEVAAAARiC4AgAAwAgEVwAAABiB4AoAAAAjEFwBAABgBIIrAAAAjEBwBQAAgBEIrgAAADCCp9MFZMbgsfO0a98hp8sAAADI9iqWvVvjh3V0uoxMMTq47tp3SFt//d3pMgAAAPAPYKoAAAAAjEBwBQAAgBEIrgAAADACwRUAAABGILgCAADACARXAAAAGIHgCgAAACMQXAEAAGAEgisAAACMQHAFAACAEQiuAAAAMALBFQAAAEYguAIAAMAIBFcAAAAYgeAKAAAAIxBcAQAAYASCKwAAAIzg6dSOlyxZooiIiOvaPTw89OuvvzpQEQAAALIzx4Jr8+bNVb9+ffv1pUuX9Nxzz6lhw4ZOlQQAAIBszLHgmi9fPuXLl89+PXPmTFmWpYEDBzpVEgAAALKxbDHHNTk5WbNmzdKAAQOUN29ep8sBAABANpQtguuCBQtUokQJNWvWzOlSAAAAkE05Hlwty9JHH32kjh07Ol0KAAAAsjHHg+vWrVt15MgRtWjRwulSAAAAkI05Hly///571axZU4UKFXK6FAAAAGRjjgfXn3/+WcHBwU6XAQAAgGzO8eC6e/duVahQwekyAAAAkM05HlyPHTumggULOl0GAAAAsjnHfgFBmp9//tnpEgAAAGAAx0dcAQAAgPQguAIAAMAIBFcAAAAYgeAKAAAAIxBcAQAAYASCKwAAAIxAcAUAAIARCK4AAAAwAsEVAAAARiC4AgAAwAgEVwAAABiB4AoAAAAjEFwBAABgBIIrAAAAjEBwBQAAgBEIrgAAADACwRUAAABG8HS6gMyoWPZup0sAAAAwQk7ITR6WZVlOFwEAAADcDlMFAAAAYASCKwAAAIxAcAUAAIARCK4AAAAwAsEVAAAARiC4AgAAwAgEVwAAABiB4AoAAAAjEFwBAABgBIIrAAAAjEBwBQAAgBE8nS4gM0bPi9PeQ4edLgMAABii3N136ZWObZ0uAxlkdHDde+iwdvx+0OkyAAAA8A9gqgAAAACMQHAFAACAEQiuAAAAMALBFQAAAEYguAIAAMAIBFcAAAAYgeAKAAAAIxBcAQAAYASCKwAAAIxAcAUAAIARCK4AAAAwAsEVAAAARiC4AgAAwAgEVwAAABiB4AoAAAAjEFwBAABgBIIrAAAAjOBocL1w4YJGjx6tWrVq6cEHH9SkSZNkWZaTJQEAACCb8nRy52PGjNH69esVGxurM2fOqF+/fipVqpTatWvnZFkAAADIhhwbcU1OTtbixYsVGRmp6tWrq27duurWrZvi4+OdKgkAAADZmGMjrps2bZKPj49CQkLsth49ejhVDgAAALI5x0ZcDxw4oNKlS2vp0qVq1qyZGjdurOnTpys1NdWpkgAAAJCNOTbievbsWe3fv18LFy7UuHHjlJSUpJEjR8rb21vdunVzqiwAAABkU44FV09PT50+fVoTJ05U6dKlJUmJiYlasGABwRUAAADXcWyqgJ+fn7y8vOzQKklly5bVoUOHnCoJAAAA2ZhjwTUwMFApKSnat2+f3bZ37163IAsAAACkcSy4litXTg0bNlRERIR+/fVXff/993r77bfVvn17p0oCAABANuboLyCYMGGCIiMj1b59e3l7e6tDhw7q1KmTkyUBAAAgm3I0uPr6+mr8+PFOlgAAAABDODZVAAAAALgTBFcAAAAYgeAKAAAAIxBcAQAAYASCKwAAAIxAcAUAAIARCK4AAAAwAsEVAAAARiC4AgAAwAgEVwAAABiB4AoAAAAjEFwBAABgBIIrAAAAjEBwBQAAgBEIrgAAADACwRUAAABG8HS6gMwod/ddTpcAAAAMQnYwm4dlWZbTRQAAAAC3w1QBAAAAGIHgCgAAACMQXAEAAGAEgisAAACMQHAFAACAEQiuAAAAMALBFQAAAEYguAIAAMAIBFcAAAAYgeAKAAAAIxBcAQAAYARPpwvIjAnL3tH+pESnywAAABl0n18pDWzVzekyYAijg+v+pETtOvSb02UAAADgH8BUAQAAABiB4AoAAAAjEFwBAABgBIIrAAAAjEBwBQAAgBEIrgAAADACwRUAAABGILgCAADACARXAAAAGIHgCgAAACMQXAEAAGAEgisAAACMQHAFAACAEQiuAAAAMALBFQAAAEYguAIAAMAIBFcAAAAYIdsE1x49emjo0KFOlwEAAIBsKlsE1+XLl2vVqlVOlwEAAIBszPHgmpycrPHjxysgIMDpUgAAAJCNeTpdwBtvvKEnnnhCR48edboUAAAAZGOOjriuXbtWGzduVO/evZ0sAwAAAAZwLLimpKTolVde0ciRI5UvXz6nygAAAIAhHAuu0dHRqlatmurXr+9UCQAAADCIY3Ncly9frmPHjsnlckmSLly4IElasWKFNm/e7FRZAAAAyKYcC67vv/++Ll26ZL+eMGGCJGngwIFOlQQAAIBszLHgWrp0abfXBQoUkCTdd999TpQDAACAbM7x57gCAAAA6eH4c1zTvP76606XAAAAgGyMEVcAAAAYgeAKAAAAIxBcAQAAYASCKwAAAIxAcAUAAIARCK4AAAAwAsEVAAAARiC4AgAAwAgEVwAAABiB4AoAAAAjEFwBAABgBIIrAAAAjEBwBQAAgBEIrgAAADACwRUAAABGILgCAADACARXAAAAGMHT6QIy4z6/Uk6XAAAAMoFzOe6Eh2VZltNFAAAAALfDVAEAAAAYgeAKAAAAIxBcAQAAYASCKwAAAIxAcAUAAIARCK4AAAAwAsEVAAAARiC4AgAAwAgEVwAAABiB4AoAAAAjEFwBAABgBE+nC8iMOV/HKPH4QafLAAAAVylV9B51bdTb6TKQAxkdXBOPH9RvSQlOlwEAAIB/AFMFAAAAYASCKwAAAIxAcAUAAIARCK4AAAAwQrpvzqpUqZI8PDzSte6OHTsyXBAAAABwI+kOrmPHjrWD6x9//KFZs2apbdu2crlcypMnj7Zu3ar58+erV69ef1uxAAAA+PdKd3Bt3bq1/e+OHTtqxIgRevrpp+22Jk2aqHz58po7d666d++etVUCAADgXy9Dc1x//vln1apV67r26tWra8+ePZkuCgAAALhWhoLrfffdp+XLl1/XHhcXpwoVKmS6KAAAAOBaGfrNWX379lXfvn21Zs0aBQQEKDU1VZs3b9aOHTs0a9asrK4RAAAAyNiIa9OmTTV//nyVKFFCq1ev1po1a3T//ffro48+Up06dbK6RgAAACBjI66SFBwcrODg4KysBQAAALipDAXX1NRULVu2TD/99JMuXrwoy7Lclo8bNy5LigMAAADSZCi4jh07VvPnz1elSpXk4+OT1TUBAAAA18lQcF22bJnGjh2rp556KqvrAQAAAG4oQzdnXbhw4YbPcQUAAAD+LhkKrvXr19eqVauyuhYAAADgpjI0VSAoKEhRUVFau3atypcvrzx58rgt79OnT7q2s3LlyuvWffTRRzV16tSMlAUAAIAcLEPBdd68eSpatKi2b9+u7du3uy3z8PBId3Dds2ePHn74YUVGRtptXl5eGSkJAAAAOVyGguvXX3+dJTtPSEhQxYoV5efnlyXbAwAAQM6VoTmuWSUhIUH333+/kyUAAADAEBkaca1UqZI8PDxuunzHjh233YZlWdq3b59Wr16tmTNn6vLly2rWrJn69u2rvHnzZqQsAAAA5GAZ/gUEVwfXS5cu6bffftPSpUs1ePDgdG0jMTFR586dU968eTVlyhQdPHhQY8aM0fnz5/Xf//43I2UBAAAgB8tQcG3duvUN26tVq6aPPvpITzzxxG23Ubp0aa1fv16FChWSh4eHKleurNTUVA0aNEgRERHKnTt3RkoDAABADpWlc1yrV6+uTZs2pXv9woULu43cli9fXikpKTp58mRWlgUAAIAcIMuC65kzZzRv3jwVL148Xet///33ql27ts6dO2e37dixQ4ULF1bRokWzqiwAAADkEFl6c5aHh4dGjx6drm24XC55eXnpv//9r8LCwnTgwAGNHz9ezz//fEZKAgAAQA6XJTdnSVKePHkUGBioe++9N13b8PHxUWxsrMaOHas2bdqoQIECateuHcEVAAAAN5SlN2fdqQceeEBz5szJkm0BAAAgZ8vwHNevvvpK//nPfxQUFKSaNWuqXbt2WrlyZVbWBgAAANgyFFz/7//+T3369FGJEiXUr18/9enTR8WKFVN4eLi++uqrrK4RAAAAyNhUgZiYGIWFhalPnz52W5cuXRQdHa0ZM2aocePGWVYgAAAAIGVwxHXv3r1q1arVde0tW7bUrl27Ml0UAAAAcK0MBdcSJUpo//7917Xv379fvr6+mS4KAAAAuFaGgmvLli01atQorVq1SqdPn9bp06e1atUqjR49Ws2bN8/qGgEAAICMzXHt1auXdu3apZ49e9rPc7UsSw0bNlT//v2ztEAAAABAymBw9fLyUkxMjBISErRr1y5ZliV/f3/dfffdmjRpkoYNG5bVdQIAAOBfLt1TBVJSUvTqq6+qdu3aCg0NVVRUlMqWLavHHntMzZs316FDh9SqVSvNmzfv76wXAAAA/1LpHnEdP368PvzwQz3++OPKmzevFixYIB8fH/Xs2VNjxozRggULVKZMGc2dO/fvrBcAAAD/UukOrl9//bWGDx+u9u3bS5IaNmyo1157TYcOHdKiRYvUrVs3hYeHK2/evH9bsQAAAPj3SndwPXbsmEJDQ+3X9evX1x9//KGVK1dqzpw5ql279t9SIAAAACDdwRzXixcvKn/+/Pbr3Llzy8vLS8OHDye0AgAA4G+Xoee4Xq169epZUQcAAABwS3cUXNOe2Xq7NgAAACCr3dFzXMeMGSMvLy/79cWLFxUVFaUCBQq4rTdu3LisqQ4AAAD4/6U7uNaqVUtJSUlubS6XSydOnNCJEyeyvLD0KFX0Hkf2CwAAbo7zM/4uHpZlWU4XAQAAANxOpm/OAgAAAP4JBFcAAAAYgeAKAAAAIxBcAQAAYASCKwAAAIxAcAUAAIARCK4AAAAwAsEVAAAARiC4AgAAwAgEVwAAABiB4AoAAAAjeDpdQGZ8tfYdHU9OdLoMAAD+NYoWLqXGdbs5XQb+pYwOrseTE3X0+G9OlwEAAIB/AFMFAAAAYASCKwAAAIxAcAUAAIARCK4AAAAwAsEVAAAARiC4AgAAwAgEVwAAABiB4AoAAAAjEFwBAABgBIIrAAAAjEBwBQAAgBEIrgAAADACwRUAAABGILgCAADACARXAAAAGIHgCgAAACMQXAEAAGAER4Pr/v371b17d7lcLjVs2FCzZ892shwAAABkY55O7Tg1NVU9evRQQECAPv74Y+3fv1/9+/dXyZIl1apVK6fKAgAAQDbl2IjrsWPHVLlyZY0aNUr333+/GjRooLp162rTpk1OlQQAAIBszLHgWqJECU2ZMkU+Pj6yLEubNm3Sjz/+qJCQEKdKAgAAQDbm2FSBqzVq1EiJiYl6+OGH9eijjzpdDgAAALKhbPFUgalTp2rGjBnasWOHxo0b53Q5AAAAyIayxYhrQECAJCklJUUDBw7U4MGDlTdvXoerAgAAQHbi6M1ZX375pVtbhQoVdPHiRZ0+fdqhqgAAAJBdORZcDx48qD59+ujIkSN227Zt21S0aFEVLVrUqbIAAACQTTkWXAMCAlS1alUNGzZMe/bs0apVqxQVFaUXX3zRqZIAAACQjTkWXHPnzq2YmBh5e3urbdu2Gj58uDp16qTOnTs7VRIAAACyMUdvzipZsqSio6OdLAEAAACGyBaPwwIAAABuh+AKAAAAIxBcAQAAYASCKwAAAIxAcAUAAIARCK4AAAAwAsEVAAAARiC4AgAAwAgEVwAAABiB4AoAAAAjEFwBAABgBIIrAAAAjEBwBQAAgBEIrgAAADACwRUAAABGILgCAADACARXAAAAGMHT6QIyo2jhUk6XAADAvwrnXjjJw7Isy+kiAAAAgNthqgAAAACMQHAFAACAEQiuAAAAMALBFQAAAEYguAIAAMAIBFcAAAAYgeAKAAAAIxBcAQAAYASCKwAAAIxAcAUAAIARCK4AAAAwgqfTBWTG5rXz9VfyYafLAADgtnwL3yVX3Q5OlwEYzejg+lfyYZ08/rvTZQAAAOAfwFQBAAAAGIHgCgAAACMQXAEAAGAEgisAAACMQHAFAACAEQiuAAAAMALBFQAAAEYguAIAAMAIBFcAAAAYgeAKAAAAIxBcAQAAYASCKwAAAIxAcAUAAIARCK4AAAAwAsEVAAAARiC4AgAAwAgEVwAAABghWwTXCxcuqGXLllq/fr3TpQAAACCbcjy4pqSkqH///tq9e7fTpQAAACAbczS47tmzR//5z3/0+++/O1kGAAAADOBocN2wYYNq166tuLg4J8sAAACAATyd3Pmzzz7r5O4BAABgEMfnuAIAAADpQXAFAACAEQiuAAAAMALBFQAAAEYguAIAAMAIBFcAAAAYwdHHYV1t586dTpcAAACAbIwRVwAAABiB4AoAAAAjEFwBAABgBIIrAAAAjEBwBQAAgBEIrgAAADACwRUAAABGILgCAADACARXAAAAGIHgCgAAACMQXAEAAGAEgisAAACMQHAFAACAEQiuAAAAMALBFQAAAEYguAIAAMAInk4XkBm+he9yugQAANKFcxaQeR6WZVlOFwEAAADcDlMFAAAAYASCKwAAAIxAcAUAAIARCK4AAAAwAsEVAAAARiC4AgAAwAgEVwAAABiB4AoAAAAjEFwBAABgBIIrAAAAjEBwBQAAgBE8nS4gMw5uXa+U0yedLgMAgNvy8imkewJqO10GYDSjg2vK6ZM6d+q402UAAADgH8BUAQAAABiB4AoAAAAjEFwBAABgBIIrAAAAjEBwBQAAgBEIrgAAADACwRUAAABGILgCAADACARXAAAAGIHgCgAAACMQXAEAAGAEgisAAACMQHAFAACAEQiuAAAAMALBFQAAAEYguAIAAMAIBFcAAAAYwdHgeuTIEfXt21chISGqX7++xo0bp5SUFCdLAgAAQDbl6dSOLctS3759VbBgQc2fP18nT57UsGHDlCtXLg0ZMsSpsgAAAJBNOTbiunfvXm3ZskXjxo3TAw88oJo1a6pv37767LPPnCoJAAAA2ZhjwdXPz0+zZ89W8eLF3dpPnz7tUEUAAADIzhwLrgULFlT9+vXt16mpqZo3b57q1KnjVEkAAADIxhyb43qtqKgobd++XYsWLXK6FAAAAGRD2SK4RkVFae7cuZo8ebIqVqzodDkAAADIhhwPrpGRkVqwYIGioqL06KOPOl0OAAAAsilHg2t0dLQWLlyoSZMmqVmzZk6WAgAAgGzOseCakJCgmJgY9ejRQzVq1FBSUpK9zM/Pz6myAAAAkE05Fly/+uorXb58WW+99Zbeeustt2U7d+50qCoAAABkVx6WZVlOF5FRCWv/T+dOHXe6DAAAbsu7YFGVr/uI02UARnPsOa4AAADAnSC4AgAAwAgEVwAAABiB4AoAAAAjEFwBAABgBIIrAAAAjEBwBQAAgBEIrgAAADACwRUAAABGILgCAADACARXAAAAGIHgCgAAACMQXAEAAGAEgisAAACMQHAFAACAEQiuAAAAMALBFQAAAEbwdLqAzPDyKeR0CQAApAvnLCDzPCzLspwuAgAAALgdpgoAAADACARXAAAAGIHgCgAAACMQXAEAAGAEgisAAACMQHAFAACAEQiuAAAAMALBFQAAAEYguAIAAMAIBFcAAAAYgeAKAAAAIxBcAQAAYASCKwAAAIxAcAUAAIARCK4AAAAwgpHBNSUlRcOGDVPNmjUVGhqqd955x+mSkEFHjhxR3759FRISovr162vcuHFKSUmRJB04cEBdunRRUFCQmjdvrtWrV7u9d82aNWrZsqUCAwPVuXNnHThwwImPgDvUo0cPDR061H69fft2PfPMMwoMDFSbNm20bds2t/U/++wzNWnSRIGBgQoLC9Px48f/6ZJxhy5cuKDRo0erVq1aevDBBzVp0iRZliWJ/s5pDh06pJ49eyo4OFiNGjXSu+++ay+jr3OGCxcuqGXLllq/fr3dltnz87vvvqv69evL5XJp2LBhOnfuXLrrMTK4jh8/Xtu2bdPcuXP1yiuvKDo6Wv/73/+cLgt3yLIs9e3bV+fOndP8+fM1efJkffPNN5oyZYosy1JYWJiKFy+uxYsX64knnlCfPn2UmJgoSUpMTFRYWJhat26tRYsWqWjRourdu7d9ckT2tHz5cq1atcp+ffbsWfXo0UM1a9bUkiVL5HK51LNnT509e1aS9PPPP2v48OHq06eP4uLidOrUKUVERDhVPtJpzJgxWrNmjWJjYzVx4kR9+OGHiouLo79zoJdffln58+fXkiVLNGzYME2ZMkUrV66kr3OIlJQU9e/fX7t377bbMnt+XrFihaKjo/Xqq69q7ty5io+PV1RUVPqLsgxz5swZKyAgwFq3bp3dNn36dKtjx44OVoWM2LNnj1WxYkUrKSnJblu2bJkVGhpqrVmzxgoKCrLOnDljL3vuueesqVOnWpZlWVOmTHHr87Nnz1oul8vtuED2cuLECeuhhx6y2rRpYw0ZMsSyLMv66KOPrEaNGlmpqamWZVlWamqq1bRpU2vx4sWWZVnWoEGD7HUty7ISExMtf39/6/fff//nPwDS5cSJE1aVKlWs9evX220zZ860hg4dSn/nMMnJyVbFihWtnTt32m19+vSxRo8eTV/nALt377Yef/xxq1WrVlbFihXt82tmz8/PPvusva5lWdaPP/5oVa9e3Tp79my66jJuxPXXX3/VpUuX5HK57LYaNWooPj5eqampDlaGO+Xn56fZs2erePHibu2nT59WfHy8qlSpovz589vtNWrU0JYtWyRJ8fHxqlmzpr3M29tbVatWtZcj+3njjTf0xBNPqEKFCnZbfHy8atSoIQ8PD0mSh4eHgoODb9rPd999t0qVKqX4+Ph/tHak36ZNm+Tj46OQkBC7rUePHho3bhz9ncPky5dP3t7eWrJkiS5evKi9e/fqp59+UuXKlenrHGDDhg2qXbu24uLi3Nozc36+fPmytm7d6rY8KChIFy9e1K+//pquuowLrklJSSpSpIjy5s1rtxUvXlwpKSlKTk52rjDcsYIFC6p+/fr269TUVM2bN0916tRRUlKSSpQo4bZ+sWLFdPjwYUm67XJkL2vXrtXGjRvVu3dvt/bb9ePRo0fpZ8McOHBApUuX1tKlS9WsWTM1btxY06dPV2pqKv2dw3h5eWnkyJGKi4tTYGCgHnvsMT300EN65pln6Osc4Nlnn9WwYcPk7e3t1p6Z8/OpU6eUkpLittzT01OFCxdOd997ZuTDOOncuXNuoVWS/frChQtOlIQsEhUVpe3bt2vRokV69913b9jPaX18s+OAYyD7SUlJ0SuvvKKRI0cqX758bstu14/nz5+nnw1z9uxZ7d+/XwsXLtS4ceOUlJSkkSNHytvbm/7OgRISEvTwww+ra9eu2r17tyIjI1W3bl36Oge7Xd/eavn58+ft1zd7/+0YF1y9vLyu+3Bpr689KcIcUVFRmjt3riZPnqyKFSvKy8vruhH0Cxcu2H18s+OgYMGC/1TJSKfo6GhVq1bNbXQ9zc368Xb9fO0IALIPT09PnT59WhMnTlTp0qUlXblZY8GCBbrvvvvo7xxk7dq1WrRokVatWqV8+fIpICBAR44c0VtvvaV7772Xvs6hMnN+9vLysl9fuzy9fW/cVIGSJUvqxIkTunTpkt2WlJSkfPnyEVoMFRkZqTlz5igqKkqPPvqopCv9fOzYMbf1jh07Zl9euNlyPz+/f6ZopNvy5cv15ZdfyuVyyeVyadmyZVq2bJlcLhf9nAP5+fnJy8vLDq2SVLZsWR06dIj+zmG2bdum++67z23QqEqVKkpMTKSvc7DM9G3hwoXl5eXltvzSpUtKTk5Od98bF1wrV64sT09Pt5twNm3apICAAOXKZdzH+deLjo7WwoULNWnSJLVo0cJuDwwM1C+//GJfVpCu9HNgYKC9fNOmTfayc+fOafv27fZyZB/vv/++li1bpqVLl2rp0qVq1KiRGjVqpKVLlyowMFCbN2+2H5NiWZZ++umnm/bzoUOHdOjQIfo5GwsMDFRKSor27dtnt+3du1elS5emv3OYEiVKaP/+/W6jZ3v37tU999xDX+dgmTk/58qVSwEBAW7Lt2zZIk9PT1WqVCl9BWTiSQmOGTFihNWiRQsrPj7eWrlypRUcHGytWLHC6bJwh/bs2WNVrlzZmjx5snX06FG3P5cuXbKaN29uvfzyy9auXbusmTNnWkFBQdYff/xhWZZlHThwwAoICLBmzpxp7dq1ywoPD7datWplP3oF2deQIUPsx+D89ddfVp06dazIyEhr9+7dVmRkpFWvXj37MSs//fSTVbVqVevDDz+0duzYYXXs2NHq2bOnk+UjHXr06GG1bdvW2rFjh/Xdd99ZderUsebOnUt/5zCnTp2y6tWrZw0aNMjau3ev9dVXX1khISHWggUL6Osc5urHYWX2/PzZZ59ZwcHB1sqVK634+HirRYsWVmRkZLprMTK4nj171ho8eLAVFBRkhYaGWnPmzHG6JGTAzJkzrYoVK97wj2VZ1m+//WZ16NDBqlatmtWiRQvrhx9+cHv/t99+az3yyCNW9erVreeee47n/xni6uBqWZYVHx9vPfnkk1ZAQID19NNPW7/88ovb+osXL7YaNGhgBQUFWWFhYdbx48f/6ZJxh06dOmUNGjTICgoKsurWrWtNmzbNPmnR3znL7t27rS5duljBwcFWkyZNrDlz5tDXOdDVwdWyMn9+njlzplW3bl2rRo0aVkREhHX+/Pl01+JhWfyqIQAAAGR/TAoFAACAEQiuAAAAMALBFQAAAEYguAIAAMAIBFcAAAAYgeAKAAAAIxBcAQAAYASCKwDkECdOnNBHH33kdBkA8LchuAJADjF+/Hh9+umnTpcBAH8bgisA5BD8IkQAOR3BFQCyyJkzZxQZGanQ0FC5XC517NhR27ZtkyRt3rxZnTt3Vo0aNVS7dm1FREToxIkT9nsbNWqkadOmuW3v6rYlS5aoadOm9t/VqlVT69attWnTJknS0KFD9fHHH2vDhg3y9/f/hz4xAPyzCK4AkEVefvllfffddxo3bpyWLl2qe++9V926dVN8fLw6deqkBx54QB9++KHefPNNxcfHq3v37rp8+XK6t3/o0CEtXLhQUVFR+vjjj+Xt7a2hQ4fKsiwNHz5cjz32mFwul1avXv03fkoAcI6n0wUAQE6wd+9efffdd4qNjVVoaKgkadSoUSpYsKBmz54tf39/jRgxQpJUvnx5TZo0SU888YRWr16tBg0apGsfFy9e1OjRo1W5cmVJUteuXRUWFqakpCSVKFFC+fLlU548eeTn5/f3fEgAcBgjrgCQBXbt2iVJCgoKstu8vLwUERGhhIQEBQcHu61fqVIl+fr6aufOnXe0n/Lly9v/9vX1lXQl0ALAvwHBFQCygKfnzS9g3eymKcuylCdPnpu+79KlS9e15c2bN93bB4CchuAKAFkgbSR069atdtulS5fUqFEj/fbbb/ZNVGl+/fVXnT592n5fnjx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} blogs-master-f0619f69e0b64a83c32243e0082630c1d846781e/NFL_Blog/NFL_Draft_Python_Scraping/ 0000775 0000000 0000000 00000000000 14073533130 0027041 5 ustar 00root root 0000000 0000000 Python_Exercise_Web_Scraping_Template.ipynb 0000664 0000000 0000000 00000030753 14073533130 0037423 0 ustar 00root root 0000000 0000000 blogs-master-f0619f69e0b64a83c32243e0082630c1d846781e/NFL_Blog/NFL_Draft_Python_Scraping {
"cells": [
{
"cell_type": "markdown",
"source": [
"# Python Web Scraping Tutorial"
],
"metadata": {}
},
{
"cell_type": "markdown",
"source": [
"## Step 1\n",
"\n",
"### Traversing the website\n",
"\n",
"#### Assuming we have something in mind we want to examine and have the website we want to extract the information from, the first thing we need to do is figure out how the website is structured. When we go to the site I've picked, we see that the draft data is seperated by year and there is no way to filter and download multiple years at the same time. \n",
"\n",
"#### Now that we know how the website is structured, we realize that one way to get the information we need is to go to each individual page and read the content. For that, we need a list of URLs of all the years we want to examine on the website. To do this we just click on a few different years and notice that the only difference in the URL is the year itself. Each draft table is on a page that starts the same but ends with a different year. For example the 2000 NFL draft is displayed at the url \"http://www.drafthistory.com/index.php/years/2000\" while the 2001 NFL draft is displayed here \"http://www.drafthistory.com/index.php/years/2001\". Notice the only difference is the year. This is pretty common with a lot of sites when you are iterating through a certain section of the site (e.g. blog_page_1, blog_page_2 ...., blog_page_42). This makes it really easy for us to extract the information we need. Keep this in mind if you want to scrape other pages.\n",
"\n"
],
"metadata": {}
},
{
"cell_type": "markdown",
"source": [
"## Step 2\n",
"\n",
"### Building a list of urls to scrape\n",
"\n",
"#### Now that we know the structure of the urls, we just need to build a list of all the urls (years) we want. Homepage is the \"base\" url we will use to iterate on."
],
"metadata": {}
},
{
"cell_type": "code",
"execution_count": 6,
"source": [
"homepage = \"http://www.drafthistory.com/index.php/years/\"\r\n",
"main_page_url_list = []\r\n",
"\r\n",
"#This is the base website which iterates through all the pages we want to scrape\r\n",
"homepage = \"http://www.drafthistory.com/index.php/years/\"\r\n",
"main_page_url_list = [] #empty list to hold the urls we want to scrape\r\n",
"\r\n",
"i = 2000 # first year I want to start scraping. This was my choice. The data goes all the way back to 1930's\r\n",
"pages_to_scrape = 22 # This is the total pages we want to scrape. In our case it's nfl draft years\r\n",
"\r\n",
"# This builds a list of urls based on changing the year for each iteration because that's how the website does it\r\n",
"main_page_url_list = [homepage + str(i) for i in range(i,i+pages_to_scrape)]\r\n",
"\r\n",
"print (main_page_url_list)"
],
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"['http://www.drafthistory.com/index.php/years/2000', 'http://www.drafthistory.com/index.php/years/2001', 'http://www.drafthistory.com/index.php/years/2002', 'http://www.drafthistory.com/index.php/years/2003', 'http://www.drafthistory.com/index.php/years/2004', 'http://www.drafthistory.com/index.php/years/2005', 'http://www.drafthistory.com/index.php/years/2006', 'http://www.drafthistory.com/index.php/years/2007', 'http://www.drafthistory.com/index.php/years/2008', 'http://www.drafthistory.com/index.php/years/2009', 'http://www.drafthistory.com/index.php/years/2010', 'http://www.drafthistory.com/index.php/years/2011', 'http://www.drafthistory.com/index.php/years/2012', 'http://www.drafthistory.com/index.php/years/2013', 'http://www.drafthistory.com/index.php/years/2014', 'http://www.drafthistory.com/index.php/years/2015', 'http://www.drafthistory.com/index.php/years/2016', 'http://www.drafthistory.com/index.php/years/2017', 'http://www.drafthistory.com/index.php/years/2018', 'http://www.drafthistory.com/index.php/years/2019', 'http://www.drafthistory.com/index.php/years/2020', 'http://www.drafthistory.com/index.php/years/2021']\n"
]
}
],
"metadata": {}
},
{
"cell_type": "markdown",
"source": [
"## Step 3\r\n",
"\r\n",
"### Scraping your selected pages "
],
"metadata": {}
},
{
"cell_type": "markdown",
"source": [
"#### Now that we know this code works, we want to use these urls to retreive the raw data from those websites. So we'll take our code above and add it to our scraping algortihm. The bottom part of this code will iterate over all of the desired pages, copy all the html from those pages and store each page in it's own text file. \r\n",
"\r\n",
"#### This is definitely not the most elegant solution. I tried to use Beautiful Soup and a few other libraries to automatically parse the text into nice clean csv files but I ran into some trouble based on the structure and security of the site, so this is how I had to do it. There are probably much more efficient methods out there but this worked also, so I just went for it."
],
"metadata": {}
},
{
"cell_type": "code",
"execution_count": 5,
"source": [
"# Import the required packages\r\n",
"from urllib.request import urlopen as uReq \r\n",
"from urllib.request import Request\r\n",
"import time\r\n",
"import pandas as pd\r\n",
"from html.parser import HTMLParser\r\n",
"\r\n",
"#This is the base website which iterates through all the pages we want to scrape\r\n",
"homepage = \"http://www.drafthistory.com/index.php/years/\"\r\n",
"main_page_url_list = [] #empty list to hold the urls we want to scrape\r\n",
"\r\n",
"i = 2000 # first year I want to start scraping. This was my choice. The data goes all the way back to 1930's\r\n",
"pages_to_scrape = 22 # This is the total pages we want to scrape. In our case it's nfl draft years\r\n",
"\r\n",
"# This builds a list of urls based on changing the year for each iteration because that's how the website does it\r\n",
"main_page_url_list = [homepage + str(i) for i in range(i,i+pages_to_scrape)]\r\n",
"\r\n",
"j=2000 #initialize the first year for which we want to scrape\r\n",
"\r\n",
"# Scraping algorithm\r\n",
"# This is the algorithm that will loop through all our desired pages.\r\n",
"for i in range(0,22):\r\n",
" url = main_page_url_list[i] #Our list of urls\r\n",
" req = Request(url, headers={'User-Agent':'Mozilla/5.0'}) #\"opening\" webiste based on url from list\r\n",
" page = uReq(req).read() # reading text from page and storing it in variable \"page\"\r\n",
" \r\n",
" #Opening text file and naming it based on draft year + \"NFL Draft Picks.txt\" \"w\" means write to file.\r\n",
" f = open(str(j) + \" NFL Draft Picks.txt\", \"w\")\r\n",
" f.write(str(page)) # write text from page into the text file\r\n",
" f.close() # close text file\r\n",
" j+=1 # iterating draft year for next text file title\r\n",
" time.sleep(1) #Building in a 1 second delay to make it look more \"human\" Without this, we might get denied by website"
],
"outputs": [],
"metadata": {}
},
{
"cell_type": "markdown",
"source": [
"## Step 4\r\n",
"\r\n",
"### Cleaning the data"
],
"metadata": {}
},
{
"cell_type": "markdown",
"source": [
"#### Now that we have all of our draft data in text form, it's time to clean it up a bit and get it into csv form and ultimately into a Pandas dataframe so we can manipulate and analyze it. To do that I am going to be using an html parser. This will essentially read the html from the webpage and split the text using known html tags.\r\n",
"\r\n",
"#### After the html is parsed, we are going to create a Pandas dataframe and move our data into it. We'll create and name columns, then take each dataframe and save it by year. \r\n",
"\r\n",
"#### You'll notice in our case that we have a few extra rows of data for each file. I just opened them in Excel and deleted those rows. There is a programmatic way to do it, but since each file is slightly different, I couldn't find any similarities in the files that would allow me to do it easily. To me it wasn't worth the extra work since there are only 21 files and it only took me about 3 minutes total. However, if you're working with a lot of files or tons of data, it might be worth it for you to figure out how to do it for your specific use case. "
],
"metadata": {}
},
{
"cell_type": "code",
"execution_count": 14,
"source": [
"import pandas as pd\r\n",
"from html.parser import HTMLParser\r\n",
"\r\n",
"# Create table parser and extract table data\r\n",
"class TableParser(HTMLParser):\r\n",
" def __init__(self):\r\n",
" HTMLParser.__init__(self)\r\n",
" self.in_td = False\r\n",
" \r\n",
" def handle_starttag(self, tag, attrs):\r\n",
" if tag == 'td':\r\n",
" self.in_td = True\r\n",
" \r\n",
" def handle_data(self, data):\r\n",
" if self.in_td:\r\n",
" if data == str(year):\r\n",
" pass\r\n",
" elif data == '\\xa0':\r\n",
" list.append('') # This is a placeholder for the draft round will fill in later\r\n",
" else:\r\n",
" list.append(data)\r\n",
" \r\n",
" def handle_endtag(self, tag):\r\n",
" self.in_td = False\r\n",
"\r\n",
"year = 2000\r\n",
"list = []\r\n",
"\r\n",
"# This portion of the code will call the parser above, put the parsed data into a list, \r\n",
"# convert that list into a dataframe, then save that dataframe as a csv file.\r\n",
"# There will be one file for every year.\r\n",
"for i in range(22):\r\n",
" data = open(str(year) +' NFL Draft Picks.txt', 'r')\r\n",
" data = data.read()\r\n",
" p = TableParser()\r\n",
" p.feed(str(data))\r\n",
"\r\n",
" # This code creates a list of lists that seperates each player taken in the draft. The number 7 is equal to the number of columns in the table.\r\n",
" playerDetails = [list[x:x+7] for x in range(0, len(list), 7)]\r\n",
"\r\n",
" # Create column headers and load in data\r\n",
" df = pd.DataFrame(playerDetails, columns=[\"Round\", \"Pick\", \"Overall\", \"Name\", \"Team\",\"Position\", \"School\"])\r\n",
"\r\n",
" # now we need to add the year so we can combine files and the draft year.\r\n",
" # Using DataFrame.insert() to add a column\r\n",
" df.insert(0, \"Year\", year, True)\r\n",
"\r\n",
" # now we'll save this data frame into a csv for later \r\n",
" df.to_csv(str(year) +' draft results.csv', index=False)\r\n",
" \r\n",
" year += 1 #iterate year for next file\r\n",
" playerDetails = [] #reset playdetails list or the lists will be cumlative instead of being seperated by year like we want.\r\n",
" list = []\r\n",
"\r\n",
" "
],
"outputs": [],
"metadata": {}
},
{
"cell_type": "markdown",
"source": [
"## Step 5\r\n",
"\r\n",
"### Merging the data\r\n",
"\r\n",
"### The last step is to combine this data into. The code below will allow you to cobine all of the csv files into one csv file."
],
"metadata": {}
},
{
"cell_type": "code",
"execution_count": 4,
"source": [
"import os\r\n",
"import glob\r\n",
"import pandas as pd\r\n",
"\r\n",
"# Path where the csv files are saved\r\n",
"os.chdir(r\"C:\\Users\\jdk51\\Google Drive\\Programming\\Data Science\\DSDojo\\Blogs\\Web_Scraping_Tutorial\")\r\n",
"extension = 'csv'\r\n",
"\r\n",
"# Create list of all the file names to be opened and read\r\n",
"all_filenames = [i for i in glob.glob('*.{}'.format(extension))]\r\n",
"\r\n",
"# read one csv at a time and store the data\r\n",
"combined_csv = pd.concat([pd.read_csv(f) for f in all_filenames ])\r\n",
"\r\n",
"# create a csv and export saved data from variable above\r\n",
"combined_csv.to_csv( \"2000-2021 Draft Picks.csv\", index=False, encoding='utf-8-sig')"
],
"outputs": [],
"metadata": {}
}
],
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} blogs-master-f0619f69e0b64a83c32243e0082630c1d846781e/READ ME 0000664 0000000 0000000 00000000076 14073533130 0021454 0 ustar 00root root 0000000 0000000 Feel free to use any code you find here for your own purposes.