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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.

NDSU

TK Marshall

TK Marshall sits 891st of 904 ncaaf rbs in receptions, at 0.1 per game.

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 Played10
EfficiencyOffensevs NCAAF RBs▶
Carries with a Countable Outcome37
Points Added per Play0.22—
Total Points Added8.859th406/986
Success Rate Running48.6%—
RushingOffensevs NCAAF RBs▶
Carries4.227th723/996
Rushing Yards28.444th556/996
Yards per Carry6.8—
Rushing Touchdowns575th218/996
Longest Run6586th141/996
ReceivingOffensevs NCAAF RBs▶
Receptions0.11st891/904
Receiving Yards1.513th784/904
Yards per Catch15.0—
Receiving Touchdowns033rd300/904
Longest Catch1537th548/904
Ball SecurityOffensevs NCAAF RBs▶
Fumbles077th1/1008
Fumbles Lost070th1/1008
10 games
DateOppCARRUSH YDSRUSH TDLONG RUNRECREC YDSREC TDFUM
NDSUDec 10, 2022SAMSAM1147112———0
NDSUDec 3, 2022MONTMONT31417———0
NDSUNov 19, 2022UNDUND1202———0
NDSUNov 5, 2022@WIUWIU6118265———0
NDSUOct 15, 2022SDSTSDST1404———0
NDSUOct 8, 2022@INSTINST722011———0
NDSUOct 1, 2022YSUYSU1707———0
NDSUSep 24, 2022@SDAKSDAK51309———0
NDSUSep 10, 2022NCATNCAT336119———0
NDSUSep 3, 2022DRKEDRKE4210811500
By season4 seasons
SeasonGPCARRUSH YDSYDS/CARRUSH TDLONG RUNRECREC YDSREC TD
2024NDSU14451703.8119111771
2023NDSU14733564.95387281
2022NDSU10422846.85651150
2021NDSU62223610.7184———

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.