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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.

UNM

Andrew Henry

Andrew Henry is 61st of 996 ncaaf rbs in longest run, at 75.

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 Played12
EfficiencyOffensevs NCAAF RBs▶
Carries with a Countable Outcome74
Points Added per Play0.12—
Total Points Added10.162nd378/986
Success Rate Running35.1%—
RushingOffensevs NCAAF RBs▶
Carries6.345th548/996
Rushing Yards26.841st584/996
Yards per Carry4.3—
Rushing Touchdowns467th292/996
Longest Run7593rd61/996
ReceivingOffensevs NCAAF RBs▶
Receptions0.956th400/904
Receiving Yards7.757th392/904
Yards per Catch8.4—
Receiving Touchdowns178th102/904
Longest Catch2972nd249/904
Ball SecurityOffensevs NCAAF RBs▶
Fumbles137th474/1008
Fumbles Lost070th1/1008
12 games
DateOppCARRUSH YDSRUSH TDLONG RUNRECREC YDSREC TDFUM
ULMNov 26, 2022USMUSM93901312310
ULMNov 19, 2022@TROYTROY330231800
ULMNov 12, 2022@GASTGAST614181700
ULMNov 5, 2022TXSTTXST5120433700
ULMOct 22, 2022@ARMYARMY5171101400
ULMOct 15, 2022@USAUSA41506———0
ULMOct 9, 2022CCUCCU9410121300
ULMOct 1, 2022@ARSTARST513071001
ULMSep 25, 2022ULUL11123175———0
ULMSep 17, 2022@ALAALA#23302———0
ULMSep 11, 2022NICHNICH525112———0
ULMSep 4, 2022@TEXTEX#25101707———0
By season4 seasons
SeasonGPCARRUSH YDSYDS/CARRUSH TDLONG RUNRECREC YDSREC TD
2024UNM1————————
2023UNM9523506.73645400
2022ULM12753224.347511921
2021ULM111314853.744014881

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.