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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.

JXST

Matt LaRoche

Matt LaRoche places 773rd of 904 ncaaf rbs in receptions, at 0.3 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 Played11
EfficiencyOffensevs NCAAF RBs▶
Carries with a Countable Outcome117
Points Added per Play0.1550th187/373
Total Points Added18.077th227/986
Success Rate Running43.6%45th204/372
RushingOffensevs NCAAF RBs▶
Carries11.277th230/996
Rushing Yards5778th221/996
Yards per Carry5.156th216/494
Rushing Touchdowns575th218/996
Longest Run4668th314/996
ReceivingOffensevs NCAAF RBs▶
Receptions0.314th773/904
Receiving Yards3.631st625/904
Yards per Catch13.3—
Receiving Touchdowns033rd300/904
Longest Catch2563rd323/904
Ball SecurityOffensevs NCAAF RBs▶
Fumbles137th474/1008
Fumbles Lost125th615/1008
11 games
DateOppCARRUSH YDSRUSH TDLONG RUNRECREC YDSREC TDFUM
JXSTNov 19, 2022@CARKCARK3704———0
JXSTNov 12, 2022EKUEKU1482118———0
JXSTOct 29, 2022@APSUAPSU2389125———0
JXSTOct 22, 2022SELASELA101908———0
JXSTOct 15, 2022@UNAUNA16901141300
JXSTOct 1, 2022KENNKENN7140511201
JXSTSep 24, 2022@NICHNICH351146———0
JXSTSep 17, 2022@TLSATLSA1567012———0
JXSTSep 10, 2022@MURMUR646017———0
JXSTSep 3, 2022DAVDAV1672018———0
JXSTAug 27, 2022SFASFA109013412500
By season2 seasons
SeasonGPCARRUSH YDSYDS/CARRUSH TDLONG RUNRECREC YDSREC TD
2022JXST111236275.15463400
2021JXST4111059.5042240

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.