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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.

UTC

Ailym Ford

Ailym Ford sits 14th of 996 ncaaf rbs in longest run, at 86.

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 5 shown▶
Playing Timevs NCAAF RBs▶
Games Played10
EfficiencyOffensevs NCAAF RBs▶
Carries with a Countable Outcome173
Points Added per Play0.1960th149/373
Total Points Added34.391st90/986
Success Rate Running41%34th245/372
RushingOffensevs NCAAF RBs▶
Carries2399th7/996
Rushing Yards11998th19/996
Yards per Carry5.259th203/494
Rushing Touchdowns1296th40/996
Longest Run8699th14/996
ReceivingOffensevs NCAAF RBs▶
Receptions159th347/904
Receiving Yards18.488th110/904
Yards per Catch18.4—
Receiving Touchdowns292nd39/904
Longest Catch4187th111/904
Ball SecurityOffensevs NCAAF RBs▶
Fumbles215th792/1008
Fumbles Lost125th615/1008
10 games
DateOppCARRUSH YDSRUSH TDLONG RUNRECREC YDSREC TDFUM
UTCNov 19, 2022@WCUWCU291020121501
UTCNov 12, 2022SAMSAM241442411300
UTCNov 5, 2022@CITCIT2913021736700
UTCOct 22, 2022MERMER22123126———0
UTCOct 15, 2022VMIVMI22172162———0
UTCOct 1, 2022@ETSUETSU28101219———0
UTCSep 23, 2022@ILLILL1793039———0
UTCSep 17, 2022UNAUNA219601124120
UTCSep 10, 2022@EIUEIU207322112200
UTCSep 3, 2022WOFWOF1815628624601
By season3 seasons
SeasonGPCARRUSH YDSYDS/CARRUSH TDLONG RUNRECREC YDSREC TD
2023UTC71194854.14214110
2022UTC102301,1905.21286101842
2021UTC112021,0695.311653150

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.