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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.

SFA

Miles Reed

Miles Reed comes in 322nd of 372 ncaaf rbs in success rate running, at 36.4%.

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 Outcome151
Points Added per Play0.0112th328/373
Total Points Added0.828th706/986
Success Rate Running36.4%13th322/372
RushingOffensevs NCAAF RBs▶
Carries14.890th102/996
Rushing Yards61.482nd182/996
Yards per Carry4.122nd385/494
Rushing Touchdowns249th448/996
Longest Run4870th292/996
ReceivingOffensevs NCAAF RBs▶
Receptions1.884th145/904
Receiving Yards17.587th116/904
Yards per Catch9.773rd80/299
Receiving Touchdowns292nd39/904
Longest Catch2870th268/904
Ball SecurityOffensevs NCAAF RBs▶
Fumbles215th792/1008
Fumbles Lost26th906/1008
11 games
DateOppCARRUSH YDSRUSH TDLONG RUNRECREC YDSREC TDFUM
SFANov 19, 2022@ACUACU23510822910
SFANov 12, 2022CARKCARK231490312-200
SFAOct 29, 2022UTUUTU2111014787810
SFAOct 22, 2022@SUUSUU11330111800
SFAOct 15, 2022TARTAR1913704821900
SFAOct 8, 2022ACUACU111811021400
SFAOct 1, 2022@SHSUSHSU1548011———0
SFASep 24, 2022—190912800
SFASep 10, 2022@LTLT111061602
SFASep 3, 2022@ALCNALCN1344012———0
SFAAug 27, 2022@JXSTJXST157504011300
By season2 seasons
SeasonGPCARRUSH YDSYDS/CARRUSH TDLONG RUNRECREC YDSREC TD
2022SFA111636754.1248201932
2021SFA101646784.132214910

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.