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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

Sherod White

Sherod White ranks 372nd of 386 ncaaf rbs in kick return yards, at 0 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 Played10
EfficiencyOffensevs NCAAF RBs▶
Carries with a Countable Outcome17
Points Added per Play-0.25—
Total Points Added-5.86th927/986
Success Rate Running23.5%—
RushingOffensevs NCAAF RBs▶
Carries426th738/996
Rushing Yards14.221st791/996
Yards per Carry3.5—
Rushing Touchdowns359th361/996
Longest Run2233rd664/996
ReceivingOffensevs NCAAF RBs▶
Receptions0.954th413/904
Receiving Yards859th371/904
Yards per Catch8.9—
Receiving Touchdowns033rd300/904
Longest Catch2768th277/904
Ball SecurityOffensevs NCAAF RBs▶
Fumbles137th474/1008
Fumbles Lost125th615/1008
Special Teamsvs NCAAF RBs▶
Kick Returns115th271/386
Kick Return Yards02nd372/386
Kick Return Touchdowns048th13/386
10 games
DateOppCARRUSH YDSRUSH TDLONG RUNRECREC YDSREC TDFUM
UNMNov 25, 2022@CSUCSU412092500
UNMNov 19, 2022SDSUSDSU2204———0
UNMNov 12, 2022@AFAAFA1101———0
UNMOct 22, 2022FRESFRES1-5001400
UNMOct 16, 2022@NMSUNMSU11011900
UNMOct 1, 2022@UNLVUNLV521091200
UNMSep 24, 2022@LSULSU3905———0
UNMSep 18, 2022UTEPUTEP82111723501
UNMSep 10, 2022BOISBOIS222021———0
UNMSep 4, 2022MEME135822222500
By season2 seasons
SeasonGPCARRUSH YDSYDS/CARRUSH TDLONG RUNRECREC YDSREC TD
2023UNM7371554.21124190
2022UNM10401423.53229800

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.