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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.

NDSU

Owen Johnson

Owen Johnson comes in 996th of 1051 ncaaf rbs in rushing yards, at 4.7 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 5 shown▶
Playing Timevs NCAAF RBs▶
Games Played10
EfficiencyOffensevs NCAAF RBs▶
Carries with a Countable Outcome24
Points Added per Play-0.23—
Total Points Added-6.38th965/1053
Success Rate Running16.7%—
RushingOffensevs NCAAF RBs▶
Carries2.110th941/1051
Rushing Yards4.75th996/1051
Yards per Carry2.2—
Rushing Touchdowns011th813/1051
Longest Run108th952/1051
ReceivingOffensevs NCAAF RBs▶
Receptions0.314th804/946
Receiving Yards3.932nd645/946
Yards per Catch13.0—
Receiving Touchdowns034th300/946
Longest Catch3178th210/946
Ball SecurityOffensevs NCAAF RBs▶
Fumbles072nd1/1062
Fumbles Lost065th1/1062
10 games
DateOppCARRUSH YDSRUSH TDLONG RUNRECREC YDSREC TDFUM
NDSUDec 6, 2025ILSTILST————1-400
NDSUNov 22, 2025STMNSTMN2306———0
NDSUNov 15, 2025UNIUNI100024300
NDSUOct 26, 2025@SDSTSDST2604———0
NDSUOct 18, 2025@INSTINST1505———0
NDSUOct 11, 2025SIUSIU5905———0
NDSUSep 27, 2025SDAKSDAK3803———0
NDSUSep 13, 2025SEMOSEMO2604———0
NDSUSep 6, 2025@TNSTTNST38010———0
NDSUAug 30, 2025@CITCIT2202———0
By season3 seasons
SeasonGPCARRUSH YDSYDS/CARRUSH TDLONG RUNRECREC YDSREC TD
2025NDSU1021472.20103390
2023NDSU6171508.81553320
2022NDSU312363.0012———

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.