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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.

MTSU

Terry Wilkins

In fumbles lost, Terry Wilkins is 946th of 1037 ncaaf rbs, at 2.

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 5 shown▶
Playing Timevs NCAAF RBs▶
Games Played11
EfficiencyOffensevs NCAAF RBs▶
Carries with a Countable Outcome52
Points Added per Play0.08—
Total Points Added5.341st471/802
Success Rate Running38.5%—
RushingOffensevs NCAAF RBs▶
Carries4.938th630/1016
Rushing Yards19.532nd696/1016
Yards per Carry4.0—
Rushing Touchdowns134th576/1016
Longest Run2334th661/1016
ReceivingOffensevs NCAAF RBs▶
Receptions1.268th295/937
Receiving Yards6.351st462/937
Yards per Catch5.3—
Receiving Touchdowns178th106/937
Longest Catch1746th496/937
Ball SecurityOffensevs NCAAF RBs▶
Fumbles214th823/1037
Fumbles Lost25th946/1037
11 games
DateOppCARRUSH YDSRUSH TDLONG RUNRECREC YDSREC TDFUM
MTSUNov 30, 2024@FIUFIU1808———0
MTSUNov 23, 2024NMSUNMSU6470231600
MTSUNov 9, 2024LIBLIB31901111710
MTSUOct 23, 2024@JXSTJXST240211100
MTSUOct 16, 2024KENNKENN41106———0
MTSUOct 11, 2024@LTLT4110111000
MTSUSep 28, 2024@MEMMEM5171741500
MTSUSep 21, 2024DUKEDUKE134201021402
MTSUSep 14, 2024WKUWKU51801321100
MTSUSep 7, 2024@MISSMISS#6719071-500
MTSUAug 31, 2024TNTCTNTC41808———0
By season4 seasons
SeasonGPCARRUSH YDSYDS/CARRUSH TDLONG RUNRECREC YDSREC TD
2024MTSU11542144.012313691
2023MTSU4181468.1175230
2022MTSU5191105.81695350
2021MTSU1155.005———

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.