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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.

NMSU

Monte Watkins

Monte Watkins places 41st of 937 ncaaf rbs in longest catch, at 64.

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 Played6
EfficiencyOffensevs NCAAF RBs▶
Carries with a Countable Outcome13
Points Added per Play0.55—
Total Points Added8.250th404/802
Success Rate Running53.8%—
RushingOffensevs NCAAF RBs▶
Carries2.715th864/1016
Rushing Yards1115th860/1016
Yards per Carry4.1—
Rushing Touchdowns012th772/1016
Longest Run2436th637/1016
ReceivingOffensevs NCAAF RBs▶
Receptions0.319th753/937
Receiving Yards11.576th222/937
Yards per Catch34.5—
Receiving Touchdowns178th106/937
Longest Catch6496th41/937
Ball SecurityOffensevs NCAAF RBs▶
Fumbles135th533/1037
Fumbles Lost067th1/1037
Special Teamsvs NCAAF RBs▶
Kick Returns1893rd26/389
Kick Return Yards60.8100th2/389
Kick Return Touchdowns049th12/389
6 games
DateOppCARRUSH YDSRUSH TDLONG RUNRECREC YDSREC TDFUM
NMSUOct 9, 2024@JXSTJXST21408———0
NMSUSep 29, 2024UNMUNM330024———0
NMSUSep 21, 2024@SHSUSHSU2-2100———1
NMSUSep 15, 2024@FRESFRES10001500
NMSUSep 8, 2024LIBLIB31401216410
NMSUSep 1, 2024SEMOSEMO529011———0
By season4 seasons
SeasonGPCARRUSH YDSYDS/CARRUSH TDLONG RUNRECREC YDSREC TD
2024NMSU616664.10242691
2023NMSU135656310.12808771
2022NMSU8301725.73785321
2021TCU312494.10253410

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.