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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.

OKST

Braylin Presley

Braylin Presley places 958th of 1016 ncaaf rbs in rushing yards, at 4.5 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 6 shown▶
Playing Timevs NCAAF RBs▶
Games Played6
EfficiencyOffensevs NCAAF RBs▶
Carries with a Countable Outcome3
Points Added per Play1.09—
Total Points Added9.954th369/802
Success Rate Running66.7%—
RushingOffensevs NCAAF RBs▶
Carries0.51st1002/1016
Rushing Yards4.56th958/1016
Yards per Carry9.0—
Rushing Touchdowns134th576/1016
Longest Run1926th745/1016
ReceivingOffensevs NCAAF RBs▶
Receptions1.578th198/937
Receiving Yards12.278th210/937
Yards per Catch8.1—
Receiving Touchdowns033rd310/937
Longest Catch1849th471/937
Ball SecurityOffensevs NCAAF RBs▶
Fumbles074th1/1037
Fumbles Lost067th1/1037
Special Teamsvs NCAAF RBs▶
Kick Returns345th195/389
Kick Return Yards26.379th83/389
Kick Return Touchdowns049th12/389
6 games
DateOppCARRUSH YDSRUSH TDLONG RUNRECREC YDSREC TDFUM
TLSANov 30, 2024FAUFAU2808———0
TLSANov 23, 2024@USFUSF———————0
TLSAOct 5, 2024ARMYARMY————2700
TLSASep 14, 2024OKSTOKST#13————11800
TLSASep 7, 2024@ARSTARST————1700
TLSAAug 30, 2024NWSTNWST11911954100
By season5 seasons
SeasonGPCARRUSH YDSYDS/CARRUSH TDLONG RUNRECREC YDSREC TD
2026OKST1————————
2025TLSA12322156.7128181151
2024TLSA63279.01199730
2023TLSA76193.2010111220
2022OKST4231.5025260

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.