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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.

TXST

Jahmyl Jeter

In yards per catch, Jahmyl Jeter is 290th of 299 ncaaf rbs, at 4.0.

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 Played10
EfficiencyOffensevs NCAAF RBs▶
Carries with a Countable Outcome33
Points Added per Play0.17—
Total Points Added7.756th436/986
Success Rate Running36.4%—
RushingOffensevs NCAAF RBs▶
Carries3.622nd774/996
Rushing Yards1217th830/996
Yards per Carry3.3—
Rushing Touchdowns133rd577/996
Longest Run2130th681/996
ReceivingOffensevs NCAAF RBs▶
Receptions1.268th288/904
Receiving Yards4.839th551/904
Yards per Catch4.03rd290/299
Receiving Touchdowns033rd300/904
Longest Catch1227th650/904
Ball SecurityOffensevs NCAAF RBs▶
Fumbles077th1/1008
Fumbles Lost070th1/1008
10 games
DateOppCARRUSH YDSRUSH TDLONG RUNRECREC YDSREC TDFUM
TXSTNov 19, 2022ARSTARST112012———0
TXSTNov 12, 2022@USAUSA————31100
TXSTNov 5, 2022@ULMULM31801462200
TXSTOct 22, 2022USMUSM1000———0
TXSTOct 15, 2022@TROYTROY————1300
TXSTOct 8, 2022APPAPP610071100
TXSTOct 1, 2022@JMUJMU947121———0
TXSTSep 17, 2022@BAYBAY#1741607———0
TXSTSep 10, 2022FIUFIU2-500———0
TXSTSep 3, 2022@NEVNEV10220911100
By season3 seasons
SeasonGPCARRUSH YDSYDS/CARRUSH TDLONG RUNRECREC YDSREC TD
2023TXST11341404.1622190
2022TXST10361203.312112480
2021TXST12913844.282910290

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.