Shaadie Clayton-Johnson

Every player
New here?

How to read this page

▶

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.

SMU

Shaadie Clayton-Johnson

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 Played9
EfficiencyOffensevs NCAAF RBs▶
Carries with a Countable Outcome21
Points Added per Play0.05—
Total Points Added1.230th690/986
Success Rate Running28.6%—
RushingOffensevs NCAAF RBs▶
Carries6.245th551/996
Rushing Yards34.954th457/996
Yards per Carry5.6—
Rushing Touchdowns249th448/996
Longest Run3352nd471/996
ReceivingOffensevs NCAAF RBs▶
Receptions0.847th473/904
Receiving Yards3.228th655/904
Yards per Catch4.1—
Receiving Touchdowns033rd300/904
Longest Catch1641st519/904
Ball SecurityOffensevs NCAAF RBs▶
Fumbles137th474/1008
Fumbles Lost125th615/1008
9 games
DateOppCARRUSH YDSRUSH TDLONG RUNRECREC YDSREC TDFUM
TULNDec 3, 2022UCFUCF#2216061400
TULNNov 18, 2022SMUSMU8750291100
TULNNov 12, 2022UCFUCF#228140111-201
TULNNov 5, 2022@TLSATLSA14106033———0
TULNOct 22, 2022MEMMEM4291192400
TULNOct 15, 2022@USFUSF1054019———0
TULNSep 24, 2022USMUSM370322200
TULNSep 10, 2022ALCNALCN3716———0
TULNSep 3, 2022MASSMASS51605———0
By season5 seasons
SeasonGPCARRUSH YDSYDS/CARRUSH TDLONG RUNRECREC YDSREC TD
2025SMU510838.32503200
2024TULN10292097.21287530
2023TULN8381594.20178880
2022TULN9563145.62337290
2021COLO420844.2135———

About College Football Research

▶

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.