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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.

FAMU

Jamal Hailey

Jamal Hailey sits 116th of 847 ncaaf rbs in longest catch, at 32.

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 Played7
EfficiencyOffensevs NCAAF RBs▶
Carries with a Countable Outcome76
Points Added per Play-0.147th455/488
Total Points Added-12.73rd950/979
Success Rate Running27.6%3rd473/488
RushingOffensevs NCAAF RBs▶
Carries10.780th199/993
Rushing Yards37.663rd370/993
Yards per Carry3.59th459/504
Rushing Touchdowns143rd457/993
Longest Run8198th18/993
ReceivingOffensevs NCAAF RBs▶
Receptions1.475th202/847
Receiving Yards1585th126/847
Yards per Catch10.5—
Receiving Touchdowns296th16/847
Longest Catch3286th116/847
Ball SecurityOffensevs NCAAF RBs▶
Fumbles122nd639/1000
Fumbles Lost062nd1/1000
Special Teamsvs NCAAF RBs▶
Kick Returns116th194/286
Kick Return Yards3.930th200/286
Kick Return Touchdowns046th21/286
7 games
DateOppCARRUSH YDSRUSH TDLONG RUNRECREC YDSREC TDFUM
FAMUOct 24, 2026UAPBUAPB7909———0
FAMUOct 17, 2026@JKSTJKST12111181———1
FAMUOct 9, 2026@ALSTALST124401811910
FAMUSep 26, 2026AAMUAAMU1017041300
FAMUSep 19, 2026TNSTTNST7150588310
FAMUSep 6, 2026SCSTSCST111307———0
FAMUAug 29, 2026—1654012———0
By season4 seasons
SeasonGPCARRUSH YDSYDS/CARRUSH TDLONG RUNRECREC YDSREC TD
2026FAMU7752633.5181101052
2025FAMU11784385.6556282002
2024WMU566010.0148———
2023WMU86193.207———

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.