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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.

UTAH

Jaylen Dixon

In rushing yards, Jaylen Dixon is 68th of 654 ncaaf wrs, at 9.4 per game.

94th beats 94% of the NCAAF WRs; 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 WRs▶
Games Played12
EfficiencyOffensevs NCAAF WRs▶
Carries with a Countable Outcome10
Points Added per Play0.75—
Total Points Added35.279th310/1456
Success Rate Running90%—
RushingOffensevs NCAAF WRs▶
Carries0.881st125/654
Rushing Yards9.490th68/654
Yards per Carry12.6—
Rushing Touchdowns499th8/654
Longest Run2284th105/654
ReceivingOffensevs NCAAF WRs▶
Receptions2.346th776/1465
Receiving Yards23.335th955/1465
Yards per Catch10.4—
Receiving Touchdowns257th522/1465
Longest Catch3130th1012/1465
Ball SecurityOffensevs NCAAF WRs▶
Fumbles120th1055/1507
Fumbles Lost111th1221/1507
12 games
DateOppRECREC YDSREC TDLONG RECCARRUSH YDS
UTAHDec 3, 2022@USCUSC#465511925
UTAHNov 26, 2022@COLOCOLO228031115
UTAHNov 20, 2022@OREORE#12217013118
UTAHNov 13, 2022STANSTAN322011113
UTAHNov 5, 2022ARIZARIZ43402517
UTAHOct 28, 2022@WSUWSU127027——
UTAHOct 16, 2022USCUSC#7118018——
UTAHOct 8, 2022@UCLAUCLA#1831807——
UTAHOct 1, 2022ORSTORST119119122
UTAHSep 25, 2022@ASUASU————111
UTAHSep 18, 2022SDSUSDSU113013122
UTAHSep 10, 2022SUUSUU329014——
By season2 seasons
SeasonGPRECREC YDSYDS/RECREC TDLONG RECRUSH YDSRUSH TD
2022UTAH122728010.42311134
2021UTAH557615.2129170

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.