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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

Deondre Scott

Deondre Scott sits 341st of 370 ncaaf rbs in kick return yards, at 0.8 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 6 shown▶
Playing Timevs NCAAF RBs▶
Games Played8
EfficiencyOffensevs NCAAF RBs▶
Carries with a Countable Outcome70
Success Rate Running48.6%78th94/418
RushingOffensevs NCAAF RBs▶
Carries8.966th339/1003
Rushing Yards45.167th329/1003
Yards per Carry5.158th214/514
Rushing Touchdowns470th263/1003
Longest Run4971st282/1003
ReceivingOffensevs NCAAF RBs▶
Receptions0.531st611/918
Receiving Yards6.856th404/918
Yards per Catch13.5—
Receiving Touchdowns180th89/918
Longest Catch2161st351/918
Ball SecurityOffensevs NCAAF RBs▶
Fumbles076th1/1013
Fumbles Lost068th1/1013
Special Teamsvs NCAAF RBs▶
Kick Returns116th252/370
Kick Return Yards0.88th341/370
Kick Return Touchdowns047th20/370
8 games
DateOppCARRUSH YDSRUSH TDLONG RUNRECREC YDSREC TDFUM
SFPANov 18, 2023@CCSUCCSU41506———0
SFPANov 4, 2023LIULIU1710614912000
SFPAOct 28, 2023MRMKMRMK1171129———0
SFPAOct 21, 2023@DUQDUQ62407———0
SFPAOct 12, 2023WAGWAG177411433410
SFPASep 30, 2023@STOSTO1459111———0
SFPASep 23, 2023SHUSHU———————0
SFPASep 16, 2023@DELDEL21208———0
By season2 seasons
SeasonGPCARRUSH YDSYDS/CARRUSH TDLONG RUNRECREC YDSREC TD
2023SFPA8713615.14494541
2022SFPA622884.0126130

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.