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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

NaQuari Rogers

NaQuari Rogers places 816th of 937 ncaaf rbs in longest catch, at 6.

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 Outcome49
Points Added per Play0.30—
Total Points Added15.165th278/802
Success Rate Running67.3%—
RushingOffensevs NCAAF RBs▶
Carries7.459th413/1016
Rushing Yards38.262nd384/1016
Yards per Carry5.258th200/477
Rushing Touchdowns576th214/1016
Longest Run2945th557/1016
ReceivingOffensevs NCAAF RBs▶
Receptions0.317th774/937
Receiving Yards1.416th785/937
Yards per Catch4.7—
Receiving Touchdowns178th106/937
Longest Catch612th816/937
Ball SecurityOffensevs NCAAF RBs▶
Fumbles074th1/1037
Fumbles Lost067th1/1037
10 games
DateOppCARRUSH YDSRUSH TDLONG RUNRECREC YDSREC TDFUM
UNMDec 1, 2024@HAWHAW15831251300
UNMNov 17, 2024WSUWSU#19648019———0
UNMNov 9, 2024@SDSUSDSU1101———0
UNMOct 19, 2024@USUUSU952012———0
UNMOct 12, 2024AFAAFA62409———0
UNMSep 29, 2024@NMSUNMSU21122329———0
UNMSep 22, 2024FRESFRES35041500
UNMSep 14, 2024@AUBAUB51114———0
UNMSep 1, 2024@ARIZARIZ#212100111610
UNMAug 24, 2024MTSTMTST62608———0
By season4 seasons
SeasonGPCARRUSH YDSYDS/CARRUSH TDLONG RUNRECREC YDSREC TD
2025UTAH11953764.010233430
2024UNM10743825.25293141
2023CAM8994784.8632111120
2022CAM9863514.1435141121

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.