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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.

USC

Travis Dye

Travis Dye ranks 31st of 372 ncaaf rbs in success rate running, at 54.4%.

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 Outcome149
Points Added per Play0.4298th8/373
Total Points Added71.699th13/986
Success Rate Running54.4%92nd31/372
RushingOffensevs NCAAF RBs▶
Carries14.589th107/996
Rushing Yards88.493rd68/996
Yards per Carry6.184th79/494
Rushing Touchdowns991st80/996
Longest Run3655th438/996
ReceivingOffensevs NCAAF RBs▶
Receptions2.189th95/904
Receiving Yards20.292nd75/904
Yards per Catch9.673rd82/299
Receiving Touchdowns033rd300/904
Longest Catch1950th444/904
Ball SecurityOffensevs NCAAF RBs▶
Fumbles137th474/1008
Fumbles Lost070th1/1008
10 games
DateOppCARRUSH YDSRUSH TDLONG RUNRECREC YDSREC TDFUM
USCNov 12, 2022COLOCOLO92609———0
USCNov 6, 2022CALCAL159812732600
USCOct 29, 2022@ARIZARIZ2011312221900
USCOct 16, 2022@UTAHUTAH#20117612034300
USCOct 8, 2022WSUWSU2814912031800
USCOct 2, 2022ASUASU136221621100
USCSep 25, 2022@ORSTORST191331361901
USCSep 18, 2022FRESFRES1110212533600
USCSep 10, 2022@STANSTAN1410512711900
USCSep 3, 2022RICERICE5200632100
By season2 seasons
SeasonGPCARRUSH YDSYDS/CARRUSH TDLONG RUNRECREC YDSREC TD
2022USC101458846.1936212020
2021ORE131931,1185.81553413742

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.