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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.

SFPA

Lovell Armstead

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 6 shown▶
Playing Timevs NCAAF RBs▶
Games Played12
EfficiencyOffensevs NCAAF RBs▶
Carries with a Countable Outcome41
Success Rate Running39%—
RushingOffensevs NCAAF RBs▶
Carries9.669th308/996
Rushing Yards42.364th360/996
Yards per Carry4.431st340/494
Rushing Touchdowns359th361/996
Longest Run3149th500/996
ReceivingOffensevs NCAAF RBs▶
Receptions1.266th305/904
Receiving Yards7.555th403/904
Yards per Catch6.4—
Receiving Touchdowns178th102/904
Longest Catch2359th366/904
Ball SecurityOffensevs NCAAF RBs▶
Fumbles215th792/1008
Fumbles Lost070th1/1008
Special Teamsvs NCAAF RBs▶
Kick Returns1383rd63/386
Kick Return Yards19.474th101/386
Kick Return Touchdowns048th13/386
12 games
DateOppCARRUSH YDSRUSH TDLONG RUNRECREC YDSREC TDFUM
SFPANov 26, 2022@DELDEL144408———1
SFPANov 19, 2022@MRMKMRMK9160641910
SFPANov 12, 2022DUQDUQ72807———0
SFPANov 5, 2022@GTWNGTWN6550301400
SFPAOct 29, 2022@SHUSHU94001734800
SFPAOct 22, 2022STOSTO1366019———0
SFPAOct 15, 2022@LIULIU1085231———1
SFPAOct 1, 2022CCSUCCSU1353110———0
SFPASep 24, 2022@NORFNORF516091700
SFPASep 17, 2022@WAGWAG1467017———0
SFPASep 10, 2022@RICHRICH1026063900
SFPASep 1, 2022@AKRAKR511062300
By season2 seasons
SeasonGPCARRUSH YDSYDS/CARRUSH TDLONG RUNRECREC YDSREC TD
2022SFPA121155074.433114901
2021SFPA9612964.92358340

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.