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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.

BCU

Que'shaun Byrd

Que'shaun Byrd comes in 90th of 904 ncaaf rbs in receptions, at 2.2 per game.

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 Played11
EfficiencyOffensevs NCAAF RBs▶
Carries with a Countable Outcome36
Points Added per Play0.53—
Total Points Added22.382nd179/986
Success Rate Running66.7%—
RushingOffensevs NCAAF RBs▶
Carries13.386th142/996
Rushing Yards7388th118/996
Yards per Carry5.569th154/494
Rushing Touchdowns991st80/996
Longest Run8196th35/996
ReceivingOffensevs NCAAF RBs▶
Receptions2.290th90/904
Receiving Yards15.884th146/904
Yards per Catch7.341st176/299
Receiving Touchdowns178th102/904
Longest Catch3480th179/904
Ball SecurityOffensevs NCAAF RBs▶
Fumbles137th474/1008
Fumbles Lost125th615/1008
11 games
DateOppCARRUSH YDSRUSH TDLONG RUNRECREC YDSREC TDFUM
BCUNov 19, 2022FAMUFAMU93911331000
BCUNov 12, 2022@ALCNALCN13150852801
BCUNov 5, 2022ALSTALST2010212553500
BCUOct 29, 2022@PVPV2115632741600
BCUOct 22, 2022@MVSUMVSU171091301600
BCUOct 15, 2022JKSTJKST75503711500
BCUOct 8, 2022@TNSTTNST16581101500
BCUOct 1, 2022@AAMUAAMU9322811700
BCUSep 24, 2022GRAMGRAM191620811800
BCUSep 10, 2022SCSTSCST745023———0
BCUSep 3, 2022@MIAMIA#1683001223410
By season2 seasons
SeasonGPCARRUSH YDSYDS/CARRUSH TDLONG RUNRECREC YDSREC TD
2022BCU111468035.5981241741
2021BCU111256184.9568211770

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.