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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.

UAPB

Daemon Dawkins

Daemon Dawkins places 1062nd of 1465 ncaaf wrs in receiving touchdowns, 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 Played8
EfficiencyOffensevs NCAAF WRs▶
Carries with a Countable Outcome1
Points Added per Play-0.24—
Total Points Added-6.90th1455/1456
Success Rate Running100%—
RushingOffensevs NCAAF WRs▶
Carries0.122nd496/654
Rushing Yards1.353rd308/654
Yards per Carry10.0—
Rushing Touchdowns042nd109/654
Longest Run1057th270/654
ReceivingOffensevs NCAAF WRs▶
Receptions2.861st572/1465
Receiving Yards26.341st866/1465
Yards per Catch9.59th708/775
Receiving Touchdowns014th1062/1465
Longest Catch4251st711/1465
Ball SecurityOffensevs NCAAF WRs▶
Fumbles065th1/1507
Fumbles Lost060th1/1507
Special Teamsvs NCAAF WRs▶
Kick Returns343rd261/503
Kick Return Yards9.451st246/503
Kick Return Touchdowns049th13/503
8 games
DateOppRECREC YDSREC TDLONG RECCARRUSH YDS
UAPBNov 24, 2022@ALSTALST2-600——
UAPBNov 12, 2022PVPV1-100110
UAPBNov 5, 2022@GRAMGRAM577042——
UAPBOct 29, 2022@FAMUFAMU895036——
UAPBOct 16, 2022AAMUAAMU21106——
UAPBOct 8, 2022TXSOTXSO116016——
UAPBSep 17, 2022@OKSTOKST#81404——
UAPBSep 10, 2022—214011——
By season4 seasons
SeasonGPRECREC YDSYDS/RECREC TDLONG RECRUSH YDSRUSH TD
2024UAPB101927214.323110
2023UAPB8252479.9043——
2022UAPB8222109.5042100
2021UAPB91728716.926470

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.