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.

WCU

AJ Colombo

AJ Colombo is 118th of 1555 ncaaf wrs in receptions, at 4.9 per game.

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 Played7
EfficiencyOffensevs NCAAF WRs▶
Carries with a Countable Outcome3
Points Added per Play0.40—
Total Points Added21.991st139/1533
Success Rate Running0%—
RushingOffensevs NCAAF WRs▶
Carries0.459th199/491
Rushing Yards137th302/491
Yards per Carry2.3—
Rushing Touchdowns044th62/491
Longest Run327th345/491
ReceivingOffensevs NCAAF WRs▶
Receptions4.992nd118/1555
Receiving Yards59.187th196/1555
Yards per Catch12.239th456/750
Receiving Touchdowns022nd859/1555
Longest Catch2536th984/1555
Ball SecurityOffensevs NCAAF WRs▶
Fumbles058th1/1614
Fumbles Lost055th1/1614
Special Teamsvs NCAAF WRs▶
Punt Returns884th47/337
Punt Return Yards6.649th171/337
Punt Return Touchdowns044th39/337
7 games
DateOppRECREC YDSREC TDLONG RECCARRUSH YDS
WCUOct 10, 2026@MERMER23201913
WCUOct 3, 2026TNTCTNTC660018——
WCUSep 26, 2026@ETSUETSU560025——
WCUSep 19, 2026PRESPRES76401524
WCUSep 12, 2026@CINCIN217013——
WCUSep 6, 2026@CAMCAM691023——
WCUAug 29, 2026EKUEKU690025——
By season4 seasons
SeasonGPRECREC YDSYDS/RECREC TDLONG RECRUSH YDSRUSH TD
2026WCU73441412.202570
2024WCU11615909.7528100
2023WCU93143814.1550——
2022WCU105367.2019——

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.