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.

CSU

Keegan Holles

Keegan Holles ranks 865th of 904 ncaaf rbs in longest catch, at 3.

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 Outcome9
Points Added per Play0.07—
Total Points Added0.828th709/986
Success Rate Running55.6%—
RushingOffensevs NCAAF RBs▶
Carries1.76th933/996
Rushing Yards6.36th934/996
Yards per Carry3.8—
Rushing Touchdowns012th751/996
Longest Run1824th751/996
ReceivingOffensevs NCAAF RBs▶
Receptions0.317th738/904
Receiving Yards0.54th863/904
Yards per Catch1.5—
Receiving Touchdowns033rd300/904
Longest Catch34th865/904
Ball SecurityOffensevs NCAAF RBs▶
Fumbles077th1/1008
Fumbles Lost070th1/1008
Special Teamsvs NCAAF RBs▶
Kick Returns1179th76/386
Kick Return Yards27.283rd68/386
Kick Return Touchdowns048th13/386
6 games
DateOppCARRUSH YDSRUSH TDLONG RUNRECREC YDSREC TDFUM
CSUNov 20, 2022@AFAAFA———————0
CSUNov 13, 2022WYOWYO———————0
CSUNov 6, 2022@SJSUSJSU1-400———0
CSUOct 29, 2022@BOISBOIS4210142300
CSUOct 8, 2022@NEVNEV1-200———0
CSUSep 17, 2022@WSUWSU423018———0
By season3 seasons
SeasonGPCARRUSH YDSYDS/CARRUSH TDLONG RUNRECREC YDSREC TD
2025CSU1————————
2024CSU315976.5118140
2022CSU610383.8018230

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.