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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.

PITT

Malik Knight

Malik Knight is 149th of 1529 ncaaf wrs in receiving yards, at 64.5 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 Outcome3
Points Added per Play0.45—
Total Points Added32.579th323/1543
Success Rate Running66.7%—
RushingOffensevs NCAAF WRs▶
Carries0.362nd252/709
Rushing Yards0.635th458/709
Yards per Carry1.8—
Rushing Touchdowns041st130/709
Longest Run954th316/709
ReceivingOffensevs NCAAF WRs▶
Receptions3.982nd268/1529
Receiving Yards64.590th149/1529
Yards per Catch16.585th127/841
Receiving Touchdowns795th62/1529
Longest Catch6987th196/1529
Ball SecurityOffensevs NCAAF WRs▶
Fumbles066th1/1569
Fumbles Lost060th1/1569
12 games
DateOppRECREC YDSREC TDLONG RECCARRUSH YDS
WCUNov 22, 2025@VMIVMI45913125
WCUNov 15, 2025ETSUETSU135035——
WCUNov 8, 2025MERMER5141254——
WCUNov 1, 2025@UTCUTC237037——
WCUOct 18, 2025@CITCIT5103238——
WCUOct 11, 2025FURFUR245141——
WCUOct 4, 2025@WOFWOF7580141-7
WCUSep 27, 2025@CAMCAM476033——
WCUSep 20, 2025SAMSAM667019——
WCUSep 13, 2025ELONELON52801719
WCUSep 6, 2025@WAKEWAKE556020——
WCUAug 30, 2025GWEBGWEB169169——
By season4 seasons
SeasonGPRECREC YDSYDS/RECREC TDLONG RECRUSH YDSRUSH TD
2026PITT277310.4117——
2025WCU124777416.576970
2024WCU102339217.0148——
2022WCU122010.0011——

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.