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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

Wayne Knight

Wayne Knight ranks 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 6 shown▶
Playing Timevs NCAAF RBs▶
Games Played6
EfficiencyOffensevs NCAAF RBs▶
Carries with a Countable Outcome5
Points Added per Play0.01—
Total Points Added0.125th741/986
Success Rate Running0%—
RushingOffensevs NCAAF RBs▶
Carries0.83rd970/996
Rushing Yards-1.30th996/996
Yards per Carry-1.6—
Rushing Touchdowns012th751/996
Longest Run10th994/996
ReceivingOffensevs NCAAF RBs▶
Receptions0.850th444/904
Receiving Yards10.569th282/904
Yards per Catch12.6—
Receiving Touchdowns033rd300/904
Longest Catch3277th199/904
Ball SecurityOffensevs NCAAF RBs▶
Fumbles137th474/1008
Fumbles Lost125th615/1008
Special Teamsvs NCAAF RBs▶
Kick Returns455th157/386
Kick Return Yards14.569th119/386
Kick Return Touchdowns048th13/386
6 games
DateOppCARRUSH YDSRUSH TDLONG RUNRECREC YDSREC TDFUM
JMUNov 26, 2022CCUCCU#23————1500
JMUNov 19, 2022GASTGAST————1301
JMUNov 12, 2022@ODUODU————13200
JMUOct 1, 2022TXSTTXST11011900
JMUSep 10, 2022NORFNORF3-800———0
JMUSep 3, 2022MTSUMTSU1-10011400
By season5 seasons
SeasonGPCARRUSH YDSYDS/CARRUSH TDLONG RUNRECREC YDSREC TD
2026UCLA7996276.31247141061
2025JMU131901,2636.6973373791
2024JMU12664276.5259111122
2023JMU14235.80221110
2022JMU65-8-1.6015630

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.