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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.

WSU

Nakia Watson

In receiving touchdowns, Nakia Watson is 2nd of 904 ncaaf rbs, at 4.

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 Outcome140
Points Added per Play0.3390th37/373
Total Points Added55.497th30/986
Success Rate Running45%52nd179/372
RushingOffensevs NCAAF RBs▶
Carries1385th147/996
Rushing Yards73.688th117/996
Yards per Carry5.773rd133/494
Rushing Touchdowns888th106/996
Longest Run6586th141/996
ReceivingOffensevs NCAAF RBs▶
Receptions2.996th37/904
Receiving Yards2998th21/904
Yards per Catch10.079th61/299
Receiving Touchdowns4100th2/904
Longest Catch3581st165/904
Ball SecurityOffensevs NCAAF RBs▶
Fumbles215th792/1008
Fumbles Lost125th615/1008
10 games
DateOppCARRUSH YDSRUSH TDLONG RUNRECREC YDSREC TDFUM
WSUNov 27, 2022WASHWASH#12157312074110
WSUNov 19, 2022@ARIZARIZ155611953011
WSUNov 12, 2022ASUASU2011632524200
WSUNov 5, 2022@STANSTAN1616616512900
WSUOct 8, 2022@USCUSC#62130122710
WSUOct 1, 2022CALCAL1452023———0
WSUSep 24, 2022OREORE#1512361986800
WSUSep 17, 2022CSUCSU87403912500
WSUSep 10, 2022@WISWIS#19103311113110
WSUSep 4, 2022IDHOIDHO1811702421701
By season3 seasons
SeasonGPCARRUSH YDSYDS/CARRUSH TDLONG RUNRECREC YDSREC TD
2023WSU12893213.6417242303
2022WSU101307365.7865292904
2021WSU619522.7018———

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.