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Team tables split by side of the ball, and the Side control hides the half you are not reading. What a team allowed is what its opponents gained, so the allowed tables are the offensive ones read from the other end. The roster is everyone who recorded a stat line, because the source holds no roster of its own — a player who never got on the field is absent. A dash means no number for that cell, or a zero in a roster column that counts.

NORF

Jason Wonodi

Jason Wonodi is 1409th of 1410 ncaaf wrs in receptions, at 0.2 per game.

94th beats 94% of the NCAAF WRs; 1 is the best of however many the row says. Higher is always better, whichever way the stat runs. Red to green by where the placing sits. A stat with no better end is left unpainted.

all 6 shown▶
Playing Timevs NCAAF WRs▶
Games Played5
EfficiencyOffensevs NCAAF WRs▶
Carries with a Countable Outcome1
Points Added per Play0.86—
Total Points Added4.346th751/1390
Success Rate Running100%—
RushingOffensevs NCAAF WRs▶
Carries0.25th352/390
Rushing Yards15.294th24/390
Yards per Carry76.0—
Rushing Touchdowns194th4/390
Longest Run76100th2/390
ReceivingOffensevs NCAAF WRs▶
Receptions0.20th1409/1410
Receiving Yards33rd1360/1410
Yards per Catch15.0—
Receiving Touchdowns024th720/1410
Longest Catch1519th1119/1410
Ball SecurityOffensevs NCAAF WRs▶
Fumbles18th1260/1459
Fumbles Lost054th1/1459
Special Teamsvs NCAAF WRs▶
Kick Returns577th49/272
Kick Return Yards12.245th151/272
Kick Return Touchdowns048th14/272
Punt Returns996th10/291
Punt Return Yards49.299th4/291
Punt Return Touchdowns299th1/291
5 games
DateOppRECREC YDSREC TDLONG RECCARRUSH YDS
NORFSep 26, 2026@CHSTCHST————176
NORFSep 19, 2026HAMPHAMP——————
NORFSep 11, 2026@UVAUVA#25——————
NORFSep 5, 2026@ODUODU——————
NORFAug 29, 2026—115015——
By season4 seasons
SeasonGPRECREC YDSYDS/RECREC TDLONG RECRUSH YDSRUSH TD
2026NORF511515.0015761
2025NORF2155.005——
2023NORF3—————1120
2022NORF546917.3039771

About College Football Research

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Every number the site holds for a college football team and the players who played for it, in one place. Pick a team, a season and a set of games, and read it. Nothing here needs an account.

Where the numbers come from

The same tables the boards read, resolved through one shared definition per stat. A rate is computed over the whole window rather than averaged across games, so a season figure is not the mean of the nightly ones.