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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.

MONM

Gavin Nelson

Gavin Nelson comes in 1233rd of 1510 ncaaf wrs in fumbles lost, at 1.

94th beats 94% of the NCAAF WRs; 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 WRs▶
Games Played10
EfficiencyOffensevs NCAAF WRs▶
Carries with a Countable Outcome1
Points Added per Play1.59—
Total Points Added57.486th176/1214
Success Rate Running100%—
RushingOffensevs NCAAF WRs▶
Carries0.115th600/720
Rushing Yards0.736th459/720
Yards per Carry7.0—
Rushing Touchdowns042nd123/720
Longest Run741st409/720
ReceivingOffensevs NCAAF WRs▶
Receptions3.576th348/1482
Receiving Yards64.389th161/1482
Yards per Catch18.495th36/671
Receiving Touchdowns370th360/1482
Longest Catch7290th144/1482
Ball SecurityOffensevs NCAAF WRs▶
Fumbles121st1041/1510
Fumbles Lost111th1233/1510
10 games
DateOppRECREC YDSREC TDLONG RECCARRUSH YDS
MONMNov 23, 2024@STBKSTBK374030——
MONMNov 16, 2024VILLVILL267059——
MONMNov 2, 2024@URIURI0-170017
MONMOct 26, 2024TOWTOW9133141——
MONMOct 5, 2024DELDEL5131172——
MONMSep 28, 2024FORFOR362034——
MONMSep 21, 2024@FIUFIU558136——
MONMSep 14, 2024@MEME330012——
MONMSep 7, 2024LAFLAF218012——
MONMAug 30, 2024@EWUEWU387039——
By season4 seasons
SeasonGPRECREC YDSYDS/RECREC TDLONG RECRUSH YDSRUSH TD
2026MONM63638910.8446——
2025MONM103051417.1670——
2024MONM103564318.437270
2023MONM469916.5129——

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.