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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.

USA

Iverson Celestine

Iverson Celestine places 751st of 996 ncaaf rbs in rushing touchdowns, at 0.

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 Played11
EfficiencyOffensevs NCAAF RBs▶
Carries with a Countable Outcome78
Points Added per Play-0.09—
Total Points Added-7.64th946/986
Success Rate Running38.5%—
RushingOffensevs NCAAF RBs▶
Carries751st479/996
Rushing Yards27.843rd567/996
Yards per Carry4.017th412/494
Rushing Touchdowns012th751/996
Longest Run2946th530/996
ReceivingOffensevs NCAAF RBs▶
Receptions0.419th727/904
Receiving Yards2.420th721/904
Yards per Catch6.5—
Receiving Touchdowns033rd300/904
Longest Catch1021st699/904
Ball SecurityOffensevs NCAAF RBs▶
Fumbles215th792/1008
Fumbles Lost26th906/1008
11 games
DateOppCARRUSH YDSRUSH TDLONG RUNRECREC YDSREC TDFUM
TULNDec 3, 2022UCFUCF#221202———0
TULNNov 18, 2022SMUSMU739029———0
TULNNov 12, 2022UCFUCF#22515072800
TULNNov 5, 2022@TLSATLSA1240015———0
TULNOct 15, 2022@USFUSF2402———0
TULNOct 8, 2022ECUECU740311000
TULNSep 30, 2022@HOUHOU739012———0
TULNSep 24, 2022USMUSM522071800
TULNSep 17, 2022@KSUKSU145208———0
TULNSep 10, 2022ALCNALCN1143014———1
TULNSep 3, 2022MASSMASS646012———1
By season4 seasons
SeasonGPCARRUSH YDSYDS/CARRUSH TDLONG RUNRECREC YDSREC TD
2024USA46213.5162190
2023TULN13144.7011———
2022TULN11773064.00294260
2021TULN3201115.5026———

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.