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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.

UNLV

Daejon Reynolds

Daejon Reynolds is 1097th of 1487 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 5 shown▶
Playing Timevs NCAAF WRs▶
Games Played11
EfficiencyOffensevs NCAAF WRs▶
Carries with a Countable Outcome1
Points Added per Play0.71—
Total Points Added22.056th614/1382
Success Rate Running0%—
RushingOffensevs NCAAF WRs▶
Carries0.112th586/682
Rushing Yards0.121st538/682
Yards per Carry1.0—
Rushing Touchdowns041st122/682
Longest Run117th552/682
ReceivingOffensevs NCAAF WRs▶
Receptions2.555th671/1487
Receiving Yards28.746th802/1487
Yards per Catch11.3—
Receiving Touchdowns013th1097/1487
Longest Catch3130th1027/1487
Ball SecurityOffensevs NCAAF WRs▶
Fumbles065th1/1525
Fumbles Lost059th1/1525
11 games
DateOppRECREC YDSREC TDLONG RECCARRUSH YDS
PITTNov 25, 2023@DUKEDUKE434019——
PITTNov 17, 2023BCBC124024——
PITTNov 11, 2023@SYRSYR344027——
PITTNov 4, 2023FSUFSU#4329017——
PITTOct 28, 2023@NDND#14631010——
PITTOct 21, 2023@WAKEWAKE364031——
PITTOct 1, 2023@VTVT140411
PITTSep 24, 2023UNCUNC#17227015——
PITTSep 16, 2023@WVUWVU1707——
PITTSep 9, 2023CINCIN236019——
PITTSep 2, 2023WOFWOF216016——
By season5 seasons
SeasonGPRECREC YDSYDS/RECREC TDLONG RECRUSH YDSRUSH TD
2025UNLV113247014.7586-70
2024PITT81518912.6140——
2023PITT112831611.303110
2022FLA31124422.2274——
2021FLA11-5-5.000——

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.