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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.

SELA

Kimon O'Sullivan

In kick return yards, Kimon O'Sullivan is 56th of 386 ncaaf rbs, at 30.4 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 Outcome18
Points Added per Play-0.02—
Total Points Added-0.522nd774/986
Success Rate Running33.3%—
RushingOffensevs NCAAF RBs▶
Carries3.521st782/996
Rushing Yards9.612th876/996
Yards per Carry2.8—
Rushing Touchdowns012th751/996
Longest Run84th952/996
ReceivingOffensevs NCAAF RBs▶
Receptions0.638th556/904
Receiving Yards8.460th365/904
Yards per Catch13.4—
Receiving Touchdowns178th102/904
Longest Catch4187th111/904
Ball SecurityOffensevs NCAAF RBs▶
Fumbles077th1/1008
Fumbles Lost070th1/1008
Special Teamsvs NCAAF RBs▶
Kick Returns1587th50/386
Kick Return Yards30.486th56/386
Kick Return Touchdowns048th13/386
8 games
DateOppCARRUSH YDSRUSH TDLONG RUNRECREC YDSREC TDFUM
RMUNov 5, 2022@CHSOCHSO6220722310
RMUOct 29, 2022@APPAPP1-100———0
RMUOct 22, 2022NCATNCAT51608———0
RMUOct 15, 2022@CAMCAM370514100
RMUOct 8, 2022GWEBGWEB516051-300
RMUOct 1, 2022@DSUDSU2303———0
RMUSep 24, 2022ETSUETSU51705———0
RMUSep 10, 2022@M-OHM-OH1-3001600
By season3 seasons
SeasonGPCARRUSH YDSYDS/CARRUSH TDLONG RUNRECREC YDSREC TD
2024SELA45-1-0.204———
2023RMU9431353.10188511
2022RMU828772.8085671

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.