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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.

MISS

Logan Diggs

Logan Diggs is 118th of 1003 ncaaf rbs in rushing touchdowns, 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 5 shown▶
Playing Timevs NCAAF RBs▶
Games Played9
EfficiencyOffensevs NCAAF RBs▶
Carries with a Countable Outcome116
Points Added per Play0.2983rd67/401
Total Points Added36.289th101/906
Success Rate Running55.2%94th25/418
RushingOffensevs NCAAF RBs▶
Carries13.186th141/1003
Rushing Yards72.489th110/1003
Yards per Carry5.574th134/514
Rushing Touchdowns787th118/1003
Longest Run3554th458/1003
ReceivingOffensevs NCAAF RBs▶
Receptions0.955th412/918
Receiving Yards9.168th296/918
Yards per Catch10.3—
Receiving Touchdowns035th285/918
Longest Catch1852nd427/918
Ball SecurityOffensevs NCAAF RBs▶
Fumbles076th1/1013
Fumbles Lost068th1/1013
9 games
DateOppCARRUSH YDSRUSH TDLONG RUNRECREC YDSREC TDFUM
LSUNov 25, 2023TA&MTA&M51716———0
LSUNov 4, 2023@ALAALA#882405———0
LSUOct 21, 2023ARMYARMY626161900
LSUOct 14, 2023AUBAUB1897135———0
LSUOct 7, 2023@MIZMIZ#2124134134———0
LSUSep 30, 2023@MISSMISS#201910121322200
LSUSep 23, 2023ARKARK14970211300
LSUSep 16, 2023@MSSTMSST9410833000
LSUSep 9, 2023GRAMGRAM1511512111800
By season5 seasons
SeasonGPCARRUSH YDSYDS/CARRUSH TDLONG RUNRECREC YDSREC TD
2025MISS10251686.73512120
2024MISS—————————
2023LSU91186525.57358820
2022ND111527324.835181301
2021ND7422004.83262351

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.