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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.

SMU

Jaylan Knighton

Jaylan Knighton places 111th of 904 ncaaf rbs in longest catch, at 41.

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 Outcome76
Points Added per Play0.1238th229/373
Total Points Added10.363rd370/986
Success Rate Running48.7%73rd100/372
RushingOffensevs NCAAF RBs▶
Carries7.857th424/996
Rushing Yards42.364th357/996
Yards per Carry5.468th161/494
Rushing Touchdowns133rd577/996
Longest Run5679th206/996
ReceivingOffensevs NCAAF RBs▶
Receptions0.954th413/904
Receiving Yards8.259th369/904
Yards per Catch9.1—
Receiving Touchdowns033rd300/904
Longest Catch4187th111/904
Ball SecurityOffensevs NCAAF RBs▶
Fumbles42nd975/1008
Fumbles Lost32nd982/1008
10 games
DateOppCARRUSH YDSRUSH TDLONG RUNRECREC YDSREC TDFUM
MIANov 27, 2022PITTPITT77205611001
MIANov 19, 2022@CLEMCLEM#981006———0
MIANov 12, 2022@GTGT16118125———0
MIANov 5, 2022FSUFSU4600451700
MIAOct 22, 2022DUKEDUKE726093601
MIAOct 15, 2022@VTVT1027015———0
MIAOct 8, 2022UNCUNC4130925601
MIASep 24, 2022MTSUMTSU21021-301
MIASep 18, 2022@TA&MTA&M#2414770131600
MIASep 10, 2022USMUSM61906———0
By season4 seasons
SeasonGPCARRUSH YDSYDS/CARRUSH TDLONG RUNRECREC YDSREC TD
2024SMU212433.60174420
2023SMU111287205.67959700
2022MIA10784235.41569820
2021MIA81455613.9840202803

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.