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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.

UTSA

John Emery Jr.

John Emery Jr. is 125th of 904 ncaaf rbs in longest catch, at 39.

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 Outcome74
Points Added per Play0.3187th49/373
Total Points Added27.086th139/986
Success Rate Running44.6%50th188/372
RushingOffensevs NCAAF RBs▶
Carries751st479/996
Rushing Yards32.851st490/996
Yards per Carry4.743rd284/494
Rushing Touchdowns575th218/996
Longest Run3251st486/996
ReceivingOffensevs NCAAF RBs▶
Receptions1.268th288/904
Receiving Yards12.677th210/904
Yards per Catch10.584th49/299
Receiving Touchdowns292nd39/904
Longest Catch3986th125/904
Ball SecurityOffensevs NCAAF RBs▶
Fumbles42nd975/1008
Fumbles Lost40th1002/1008
10 games
DateOppCARRUSH YDSRUSH TDLONG RUNRECREC YDSREC TDFUM
LSUDec 3, 2022@UGAUGA#144031300
LSUNov 27, 2022@TA&MTA&M95531931100
LSUNov 20, 2022UABUAB949117———2
LSUNov 12, 2022@ARKARK340032———0
LSUNov 5, 2022ALAALA#65260923410
LSUOct 15, 2022@FLAFLA83101032410
LSUOct 8, 2022TENNTENN#84402———0
LSUOct 1, 2022@AUBAUB84212013901
LSUSep 24, 2022UNMUNM945011———1
LSUSep 17, 2022MSSTMSST11320921500
By season4 seasons
SeasonGPCARRUSH YDSYDS/CARRUSH TDLONG RUNRECREC YDSREC TD
2025UTSA1441.0011———
2024LSU110616.10391100
2023LSU7231215.31173580
2022LSU10703284.7532121262

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.