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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.

BGSU

Nick Mosley

Nick Mosley comes in 791st of 904 ncaaf rbs in longest catch, at 7.

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 Played8
EfficiencyOffensevs NCAAF RBs▶
Carries with a Countable Outcome23
Points Added per Play-0.05—
Total Points Added-1.319th801/986
Success Rate Running30.4%—
RushingOffensevs NCAAF RBs▶
Carries2.916th836/996
Rushing Yards11.516th838/996
Yards per Carry4.0—
Rushing Touchdowns012th751/996
Longest Run1415th831/996
ReceivingOffensevs NCAAF RBs▶
Receptions0.312th778/904
Receiving Yards1.815th767/904
Yards per Catch7.0—
Receiving Touchdowns033rd300/904
Longest Catch711th791/904
Ball SecurityOffensevs NCAAF RBs▶
Fumbles077th1/1008
Fumbles Lost070th1/1008
Special Teamsvs NCAAF RBs▶
Kick Returns115th271/386
Kick Return Yards2.628th278/386
Kick Return Touchdowns048th13/386
8 games
DateOppCARRUSH YDSRUSH TDLONG RUNRECREC YDSREC TDFUM
BGSUNov 23, 2022@OHIOOHIO429014———0
BGSUNov 16, 2022@TOLTOL———————0
BGSUNov 10, 2022KENTKENT3503———0
BGSUOct 8, 2022BUFFBUFF318013———0
BGSUSep 24, 2022@MSSTMSST52009———0
BGSUSep 17, 2022MRSHMRSH16061700
BGSUSep 10, 2022EKUEKU4-201———0
BGSUSep 3, 2022@UCLAUCLA#213160121700
By season3 seasons
SeasonGPCARRUSH YDSYDS/CARRUSH TDLONG RUNRECREC YDSREC TD
2023BGSU38567.0023———
2022BGSU823924.00142140
2021BGSU9773364.4226140

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.