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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.

ARIZ

Ismail Mahdi

In receiving yards, Ismail Mahdi is 14th of 904 ncaaf rbs, at 31.3 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 Played8
EfficiencyOffensevs NCAAF RBs▶
Carries with a Countable Outcome45
Points Added per Play0.15—
Total Points Added10.262nd373/986
Success Rate Running40%—
RushingOffensevs NCAAF RBs▶
Carries1385th147/996
Rushing Yards57.478th216/996
Yards per Carry4.431st339/494
Rushing Touchdowns133rd577/996
Longest Run5578th216/996
ReceivingOffensevs NCAAF RBs▶
Receptions3.899th12/904
Receiving Yards31.399th14/904
Yards per Catch8.357th128/299
Receiving Touchdowns292nd39/904
Longest Catch5595th45/904
Ball SecurityOffensevs NCAAF RBs▶
Fumbles215th792/1008
Fumbles Lost26th906/1008
8 games
DateOppCARRUSH YDSRUSH TDLONG RUNRECREC YDSREC TDFUM
HCUNov 19, 2022@TARTAR730752900
HCUNov 12, 2022MCNMCN16780262500
HCUNov 5, 2022@UIWUIW138702231100
HCUOct 29, 2022UTMUTM216619812110
HCUOct 22, 2022@ETAMETAM5650552400
HCUOct 15, 2022NWSTNWST460551400
HCUSep 10, 2022LINLIN217902056611
HCUSep 3, 2022@UNCOUNCO1775012———1
By season5 seasons
SeasonGPCARRUSH YDSYDS/CARRUSH TDLONG RUNRECREC YDSREC TD
2026ARIZ212726.0010150
2025ARIZ121237916.446813961
2024TXST121839915.4445241952
2023TXST121991,2096.11065182761
2022HCU81044594.4155302502

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.