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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

Damon Horton

Damon Horton is 74th of 904 ncaaf rbs in longest catch, at 47.

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 Played10
EfficiencyOffensevs NCAAF RBs▶
Carries with a Countable Outcome38
Success Rate Running55.3%—
RushingOffensevs NCAAF RBs▶
Carries7.857th424/996
Rushing Yards32.550th494/996
Yards per Carry4.223rd380/494
Rushing Touchdowns467th292/996
Longest Run1824th751/996
ReceivingOffensevs NCAAF RBs▶
Receptions0.529th621/904
Receiving Yards7.354th414/904
Yards per Catch14.6—
Receiving Touchdowns033rd300/904
Longest Catch4792nd74/904
Ball SecurityOffensevs NCAAF RBs▶
Fumbles137th474/1008
Fumbles Lost070th1/1008
Special Teamsvs NCAAF RBs▶
Kick Returns237th216/386
Kick Return Yards2.424th292/386
Kick Return Touchdowns048th13/386
10 games
DateOppCARRUSH YDSRUSH TDLONG RUNRECREC YDSREC TDFUM
SFPANov 19, 2022@MRMKMRMK521018———0
SFPANov 12, 2022DUQDUQ3907———0
SFPAOct 29, 2022@SHUSHU1101———0
SFPAOct 22, 2022STOSTO14691151500
SFPAOct 15, 2022@LIULIU51418———0
SFPAOct 1, 2022CCSUCCSU11360914700
SFPASep 24, 2022@NORFNORF1202———1
SFPASep 17, 2022@WAGWAG16651131600
SFPASep 10, 2022@RICHRICH4220121000
SFPASep 1, 2022@AKRAKR188611511500
By season3 seasons
SeasonGPCARRUSH YDSYDS/CARRUSH TDLONG RUNRECREC YDSREC TD
2023SFPA5341674.912810541
2022SFPA10783254.24185730
2021SFPA525602.4082130

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.