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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.

CMU

Vaughn Blue

Vaughn Blue is 823rd of 1037 ncaaf rbs in fumbles, at 2.

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 Played10
EfficiencyOffensevs NCAAF RBs▶
Carries with a Countable Outcome34
Points Added per Play0.10—
Total Points Added4.138th500/802
Success Rate Running52.9%—
RushingOffensevs NCAAF RBs▶
Carries2.917th844/1016
Rushing Yards19.331st698/1016
Yards per Carry6.7—
Rushing Touchdowns134th576/1016
Longest Run4565th352/1016
ReceivingOffensevs NCAAF RBs▶
Receptions0.743rd529/937
Receiving Yards4.338th584/937
Yards per Catch6.1—
Receiving Touchdowns033rd310/937
Longest Catch2363rd337/937
Ball SecurityOffensevs NCAAF RBs▶
Fumbles214th823/1037
Fumbles Lost121st690/1037
10 games
DateOppCARRUSH YDSRUSH TDLONG RUNRECREC YDSREC TDFUM
LIBNov 23, 2024WKUWKU4380181700
LIBNov 16, 2024@MASSMASS311071-200
LIBNov 9, 2024@MTSUMTSU3200121700
LIBOct 30, 2024JXSTJXST550125———0
LIBOct 23, 2024@KENNKENN2407———0
LIBOct 8, 2024FIUFIU2807———0
LIBSep 21, 2024ECUECU2-800———1
LIBSep 14, 2024UTEPUTEP490632901
LIBSep 8, 2024@NMSUNMSU461045———0
LIBAug 31, 2024CAMCAM————1200
By season4 seasons
SeasonGPCARRUSH YDSYDS/CARRUSH TDLONG RUNRECREC YDSREC TD
2026CMU7431874.31185290
2025LIB10472345.022281191
2024LIB10291936.71457430
2023LIB5181156.40213251

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.