Every player
New here?

How to read this page

▶

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

Lew Nichols

Lew Nichols comes in 141st of 996 ncaaf rbs in rushing yards, at 68.4 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 Played9
EfficiencyOffensevs NCAAF RBs▶
Carries with a Countable Outcome163
Points Added per Play-0.046th349/373
Total Points Added-6.95th940/986
Success Rate Running37.4%19th300/372
RushingOffensevs NCAAF RBs▶
Carries19.697th29/996
Rushing Yards68.486th141/996
Yards per Carry3.56th462/494
Rushing Touchdowns681st171/996
Longest Run3149th500/996
ReceivingOffensevs NCAAF RBs▶
Receptions2.392nd70/904
Receiving Yards14.281st174/904
Yards per Catch6.124th226/299
Receiving Touchdowns033rd300/904
Longest Catch2154th404/904
Ball SecurityOffensevs NCAAF RBs▶
Fumbles215th792/1008
Fumbles Lost26th906/1008
9 games
DateOppCARRUSH YDSRUSH TDLONG RUNRECREC YDSREC TDFUM
CMUNov 25, 2022@EMUEMU620061000
CMUNov 17, 2022WMUWMU1035013———0
CMUNov 2, 2022@NIUNIU2892011———2
CMUOct 8, 2022BALLBALL31971171900
CMUOct 1, 2022@TOLTOL18320642200
CMUSep 24, 2022@PSUPSU#14136701841600
CMUSep 17, 2022BUCKBUCK3016623111700
CMUSep 10, 2022USAUSA14351843800
CMUSep 1, 2022@OKSTOKST#12267221562600
By season2 seasons
SeasonGPCARRUSH YDSYDS/CARRUSH TDLONG RUNRECREC YDSREC TD
2022CMU91766163.5631211280
2021CMU123111,7105.51566383002

About College Football Research

▶

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.