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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

Marion Lukes

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 Played8
EfficiencyOffensevs NCAAF RBs▶
Carries with a Countable Outcome51
Points Added per Play0.35—
Total Points Added20.780th199/986
Success Rate Running45.1%—
RushingOffensevs NCAAF RBs▶
Carries6.446th541/996
Rushing Yards40.463rd373/996
Yards per Carry6.3—
Rushing Touchdowns359th361/996
Longest Run3959th406/996
ReceivingOffensevs NCAAF RBs▶
Receptions0.638th556/904
Receiving Yards10.167th301/904
Yards per Catch16.2—
Receiving Touchdowns178th102/904
Longest Catch3784th144/904
Ball SecurityOffensevs NCAAF RBs▶
Fumbles137th474/1008
Fumbles Lost070th1/1008
Special Teamsvs NCAAF RBs▶
Kick Returns237th216/386
Kick Return Yards4.141st229/386
Kick Return Touchdowns048th13/386
8 games
DateOppCARRUSH YDSRUSH TDLONG RUNRECREC YDSREC TDFUM
CMUNov 25, 2022@EMUEMU448035———0
CMUOct 22, 2022BGSUBGSU71605———0
CMUOct 15, 2022@AKRAKR2616023947111
CMUOct 8, 2022BALLBALL4402———0
CMUOct 1, 2022@TOLTOL2304———0
CMUSep 24, 2022@PSUPSU#14290611000
CMUSep 17, 2022BUCKBUCK347030———0
CMUSep 10, 2022USAUSA336121———0
By season4 seasons
SeasonGPCARRUSH YDSYDS/CARRUSH TDLONG RUNRECREC YDSREC TD
2024CMU111617884.9566161601
2023CMU121447375.1546293000
2022CMU8513236.33395811
2021CMU1222944.30219640

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.