Every player
New here?

How to read this page

▶

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.

MVSU

Caleb Brownlow

94th beats 94% of the NCAAF WRs; 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 WRs▶
Games Played9
EfficiencyOffensevs NCAAF WRs▶
Carries with a Countable Outcome2
Points Added per Play0.33—
Total Points Added9.841st912/1543
Success Rate Running100.0%—
RushingOffensevs NCAAF WRs▶
Carries0.244th394/709
Rushing Yards1.961st275/709
Yards per Carry8.5—
Rushing Touchdowns041st130/709
Longest Run1264th247/709
ReceivingOffensevs NCAAF WRs▶
Receptions1.833rd1020/1529
Receiving Yards19.928th1099/1529
Yards per Catch11.2—
Receiving Touchdowns259th510/1529
Longest Catch5370th452/1529
Ball SecurityOffensevs NCAAF WRs▶
Fumbles066th1/1569
Fumbles Lost060th1/1569
Special Teamsvs NCAAF WRs▶
Kick Returns555th202/472
Kick Return Yards5.438th291/472
Kick Return Touchdowns048th19/472
9 games
DateOppRECREC YDSREC TDLONG RECCARRUSH YDS
MVSUNov 29, 2025FAMUFAMU21009——
MVSUNov 22, 2025@PVPV2504——
MVSUNov 15, 2025ALSTALST1707——
MVSUNov 8, 2025JKSTJKST1303——
MVSUNov 1, 2025@BCUBCU113013——
MVSUOct 25, 2025@ALCNALCN343019——
MVSUOct 11, 2025@AAMUAAMU336119217
MVSUSep 6, 2025@TARTAR2908——
MVSUAug 30, 2025SOUSOU153153——
By season2 seasons
SeasonGPRECREC YDSYDS/RECREC TDLONG RECRUSH YDSRUSH TD
2026MVSU49738.11311201
2025MVSU91617911.2253170

About College Football Research

▶

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.