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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.

UNT

Nick Osho

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 Played3
EfficiencyOffensevs NCAAF RBs▶
Carries with a Countable Outcome11
Points Added per Play-0.13—
Total Points Added-1.525th748/994
Success Rate Running45.5%—
RushingOffensevs NCAAF RBs▶
Carries3.730th719/1030
Rushing Yards13.727th753/1030
Yards per Carry3.7—
Rushing Touchdowns020th611/1030
Longest Run1021st803/1030
Charted RushingOffensevs NCAAF RBs▶
Charted Carries11
Line Yards per Carry3.00—
Second Level Yards per Carry1.00—
Open Field Yards per Carry0.00—
Stuff Rate27.3%—
Power Success33.3%—
Points Added per Carry-0.13—
Rushing Explosiveness0.40—
Charted Rushing Success Rate45.5%—
Run DirectionsOffensevs NCAAF RBs▶
Carries with a Charted Direction11
Left Carries0
Left Yards per Carry0.0—
Left Success Rate0%—
Middle Carries10
Middle Yards per Carry3.9—
Middle Success Rate50%—
Right Carries1
Right Yards per Carry2.0—
Right Success Rate0%—
Ball SecurityOffensevs NCAAF RBs▶
Fumbles063rd1/1035
Fumbles Lost058th1/1035
3 games
DateOppCARRUSH YDSRUSH TDLONG RUNFUM
UNTSep 26, 2026HCUHCU4260100
UNTSep 12, 2026UNLVUNLV21010
UNTSep 5, 2026@IUIU#6514090
By season2 seasons
SeasonGPCARRUSH YDSYDS/CARRUSH TDLONG RUNRECREC YDSREC TD
2026UNT311413.7010———
2025INST121196865.887910421

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.