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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.

WASH

Jayden Limar

Jayden Limar is 916th of 1016 ncaaf rbs in rushing yards, at 8.4 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 Outcome25
Points Added per Play0.14—
Total Points Added3.837th509/802
Success Rate Running24%—
RushingOffensevs NCAAF RBs▶
Carries2.917th846/1016
Rushing Yards8.410th916/1016
Yards per Carry2.9—
Rushing Touchdowns012th772/1016
Longest Run119th915/1016
ReceivingOffensevs NCAAF RBs▶
Receptions0.314th791/937
Receiving Yards8.966th317/937
Yards per Catch35.5—
Receiving Touchdowns178th106/937
Longest Catch6596th40/937
Ball SecurityOffensevs NCAAF RBs▶
Fumbles074th1/1037
Fumbles Lost067th1/1037
Special Teamsvs NCAAF RBs▶
Kick Returns345th195/389
Kick Return Yards6.648th204/389
Kick Return Touchdowns199th2/389
8 games
DateOppCARRUSH YDSRUSH TDLONG RUNRECREC YDSREC TDFUM
OREDec 1, 2024WASHWASH———————0
ORENov 10, 2024MDMD61006———0
OREOct 26, 2024ILLILL#2072408———0
OREOct 19, 2024@PURPUR320011———0
OREOct 5, 2024MSUMSU1-500———0
ORESep 29, 2024@UCLAUCLA3905———0
ORESep 14, 2024@ORSTORST270527110
ORESep 8, 2024BOISBOIS1202———0
By season4 seasons
SeasonGPCARRUSH YDSYDS/CARRUSH TDLONG RUNRECREC YDSREC TD
2026WASH112473.9111———
2025ORE6422495.93538540
2024ORE823672.90112711
2023ORE7211085.11216310

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.