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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.

GTWN

Joshua Stakely

Joshua Stakely places 982nd of 1008 ncaaf rbs in fumbles lost, 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 5 shown▶
Playing Timevs NCAAF RBs▶
Games Played10
EfficiencyOffensevs NCAAF RBs▶
Carries with a Countable Outcome110
Points Added per Play-0.141st371/373
Total Points Added-17.70th983/986
Success Rate Running44.5%49th189/372
RushingOffensevs NCAAF RBs▶
Carries12.182nd177/996
Rushing Yards48.269th305/996
Yards per Carry4.017th410/494
Rushing Touchdowns575th218/996
Longest Run3757th422/996
ReceivingOffensevs NCAAF RBs▶
Receptions1.985th131/904
Receiving Yards8.460th362/904
Yards per Catch4.44th286/299
Receiving Touchdowns033rd300/904
Longest Catch2257th381/904
Ball SecurityOffensevs NCAAF RBs▶
Fumbles36th915/1008
Fumbles Lost32nd982/1008
10 games
DateOppCARRUSH YDSRUSH TDLONG RUNRECREC YDSREC TDFUM
GTWNNov 19, 2022HCHC103209———0
GTWNNov 12, 2022BUCKBUCK1242193200
GTWNNov 5, 2022SFPASFPA9290632801
GTWNOct 29, 2022@LAFLAF1439171500
GTWNOct 22, 2022@COLGCOLG85401741600
GTWNOct 8, 2022PENNPENN5291202-600
GTWNSep 24, 2022COLUCOLU91105———0
GTWNSep 17, 2022@MONMMONM145601332701
GTWNSep 10, 2022LEHLEH1667014———0
GTWNSep 3, 2022@MRSTMRST2412323731201
By season3 seasons
SeasonGPCARRUSH YDSYDS/CARRUSH TDLONG RUNRECREC YDSREC TD
2023GTWN111276355.0646332435
2022GTWN101214824.053719840
2021GTWN7782333.04209580

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.