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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.

UNCO

David Afari

David Afari ranks 120th of 904 ncaaf rbs in longest catch, at 40.

94th beats 94% of the NCAAF RBs; 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 RBs▶
Games Played6
EfficiencyOffensevs NCAAF RBs▶
Carries with a Countable Outcome19
Points Added per Play0.72—
Total Points Added15.272nd279/986
Success Rate Running47.4%—
RushingOffensevs NCAAF RBs▶
Carries4.227th728/996
Rushing Yards1827th724/996
Yards per Carry4.3—
Rushing Touchdowns467th292/996
Longest Run1415th831/996
ReceivingOffensevs NCAAF RBs▶
Receptions0.850th444/904
Receiving Yards13.880th182/904
Yards per Catch16.6—
Receiving Touchdowns033rd300/904
Longest Catch4087th120/904
Ball SecurityOffensevs NCAAF RBs▶
Fumbles215th792/1008
Fumbles Lost125th615/1008
Special Teamsvs NCAAF RBs▶
Kick Returns665th127/386
Kick Return Yards19.775th99/386
Kick Return Touchdowns048th13/386
6 games
DateOppCARRUSH YDSRUSH TDLONG RUNRECREC YDSREC TDFUM
UNCOOct 9, 2022@SACSAC2404———0
UNCOOct 2, 2022@IDHOIDHO74411425200
UNCOSep 24, 2022IDSTIDST3211———0
UNCOSep 17, 2022@LAMLAM741111———0
UNCOSep 10, 2022@WYOWYO———————1
UNCOSep 3, 2022HCUHCU6171933101
By season4 seasons
SeasonGPCARRUSH YDSYDS/CARRUSH TDLONG RUNRECREC YDSREC TD
2024UNCO8592634.512781130
2023UNCO101486304.323413830
2022UNCO6251084.34145830
2021M-OH7311514.9023110

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.