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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.

ARIZ

Javin Whatley

Javin Whatley is 552nd of 654 ncaaf wrs in longest run, at 0.

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 6 shown▶
Playing Timevs NCAAF WRs▶
Games Played9
EfficiencyOffensevs NCAAF WRs▶
Carries with a Countable Outcome1
Points Added per Play0.95—
Total Points Added32.576th347/1456
Success Rate Running0%—
RushingOffensevs NCAAF WRs▶
Carries0.118th527/654
Rushing Yards019th519/654
Yards per Carry0.0—
Rushing Touchdowns042nd109/654
Longest Run08th552/654
ReceivingOffensevs NCAAF WRs▶
Receptions3.270th437/1465
Receiving Yards50.177th336/1465
Yards per Catch15.676th184/775
Receiving Touchdowns370th369/1465
Longest Catch7290th142/1465
Ball SecurityOffensevs NCAAF WRs▶
Fumbles065th1/1507
Fumbles Lost060th1/1507
Special Teamsvs NCAAF WRs▶
Kick Returns972nd133/503
Kick Return Yards22.973rd137/503
Kick Return Touchdowns049th13/503
9 games
DateOppRECREC YDSREC TDLONG RECCARRUSH YDS
UTCNov 19, 2022@WCUWCU547124——
UTCNov 12, 2022SAMSAM45803110
UTCOct 29, 2022@FURFUR152052——
UTCOct 22, 2022MERMER535014——
UTCOct 15, 2022VMIVMI172172——
UTCOct 1, 2022@ETSUETSU675025——
UTCSep 23, 2022@ILLILL1707——
UTCSep 10, 2022@EIUEIU479151——
UTCSep 3, 2022WOFWOF226018——
By season4 seasons
SeasonGPRECREC YDSYDS/RECREC TDLONG RECRUSH YDSRUSH TD
2025ARIZ123844311.7485321
2024UTC125669712.467190
2023UTC135597717.896790
2022UTC92945115.637200

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.