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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.

CLT

Jariel Cobb

Jariel Cobb sits 1047th of 1161 ncaaf rbs in longest run, at 4.

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 Played1
EfficiencyOffensevs NCAAF RBs▶
Carries with a Countable Outcome2
Points Added per Play-0.16—
Total Points Added-0.335th734/1121
Success Rate Running0.0%—
RushingOffensevs NCAAF RBs▶
Carries215th945/1161
Rushing Yards819th927/1161
Yards per Carry4.0—
Rushing Touchdowns027th545/1161
Longest Run49th1047/1161
Charted RushingOffensevs NCAAF RBs▶
Charted Carries2
Line Yards per Carry4.00—
Second Level Yards per Carry0.00—
Open Field Yards per Carry0.00—
Stuff Rate0.0%—
Power Success0.0%—
Points Added per Carry-0.16—
Rushing Explosiveness0.00—
Charted Rushing Success Rate0.0%—
Run DirectionsOffensevs NCAAF RBs▶
Carries with a Charted Direction2
Left Carries0
Left Yards per Carry0.0—
Left Success Rate0.0%—
Middle Carries2
Middle Yards per Carry4.0—
Middle Success Rate0.0%—
Right Carries0
Right Yards per Carry0.0—
Right Success Rate0.0%—
Ball SecurityOffensevs NCAAF RBs▶
Fumbles059th1/1185
Fumbles Lost056th1/1185
1 games
DateOppCARRUSH YDSRUSH TDLONG RUNFUM
CLTSep 12, 2026@MISSMISS#928040
By season2 seasons
SeasonGPCARRUSH YDSYDS/CARRUSH TDLONG RUNRECREC YDSREC TD
2026CLT1284.004———
2025CLT7511903.70218490

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.