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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.

UCLA

Zach Charbonnet

Zach Charbonnet places 13th of 904 ncaaf rbs in receptions, at 3.7 per game.

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 Outcome195
Points Added per Play0.4298th7/373
Total Points Added100.4100th1/986
Success Rate Running59%99th5/372
RushingOffensevs NCAAF RBs▶
Carries19.597th30/996
Rushing Yards135.999th8/996
Yards per Carry7.095th25/494
Rushing Touchdowns1498th22/996
Longest Run4972nd276/996
ReceivingOffensevs NCAAF RBs▶
Receptions3.799th13/904
Receiving Yards32.199th11/904
Yards per Catch8.762nd114/299
Receiving Touchdowns033rd300/904
Longest Catch4490th90/904
Ball SecurityOffensevs NCAAF RBs▶
Fumbles215th792/1008
Fumbles Lost125th615/1008
10 games
DateOppCARRUSH YDSRUSH TDLONG RUNRECREC YDSREC TDFUM
UCLANov 25, 2022@CALCAL2411911742200
UCLANov 20, 2022USCUSC#7199501942900
UCLANov 13, 2022ARIZARIZ2418133793800
UCLAOct 30, 2022STANSTAN2119833756101
UCLAOct 22, 2022@OREORE#102015113342800
UCLAOct 8, 2022UTAHUTAH#1122198149———0
UCLAOct 1, 2022WASHWASH#152212412235600
UCLASep 24, 2022@COLOCOLO9104346———0
UCLASep 17, 2022USAUSA137802035101
UCLASep 3, 2022BGSUBGSU2111111653600
By season2 seasons
SeasonGPCARRUSH YDSYDS/CARRUSH TDLONG RUNRECREC YDSREC TD
2022UCLA101951,3597.01449373210
2021UCLA122031,1375.61347241970

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.