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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.

UTM

Narkel LeFlore

Narkel LeFlore ranks 35th of 370 ncaaf rbs in kick return yards, at 40.3 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 6 shown▶
Playing Timevs NCAAF RBs▶
Games Played11
EfficiencyOffensevs NCAAF RBs▶
Carries with a Countable Outcome64
Success Rate Running43.8%—
RushingOffensevs NCAAF RBs▶
Carries6.449th514/1003
Rushing Yards34.757th433/1003
Yards per Carry5.572nd144/514
Rushing Touchdowns470th263/1003
Longest Run7595th42/1003
ReceivingOffensevs NCAAF RBs▶
Receptions0.420th728/918
Receiving Yards2.424th702/918
Yards per Catch6.5—
Receiving Touchdowns035th285/918
Longest Catch1023rd690/918
Ball SecurityOffensevs NCAAF RBs▶
Fumbles213th815/1013
Fumbles Lost122nd655/1013
Special Teamsvs NCAAF RBs▶
Kick Returns1892nd27/370
Kick Return Yards40.391st35/370
Kick Return Touchdowns047th20/370
12 games
DateOppCARRUSH YDSRUSH TDLONG RUNRECREC YDSREC TDFUM
UTMNov 18, 2023@SAMSAM2604———0
UTMNov 11, 2023SEMOSEMO151472751500
UTMNov 4, 2023@TNTCTNTC212010———0
UTMOct 28, 2023@GWEBGWEB3503———0
UTMOct 21, 2023CHSOCHSO631015———0
UTMOct 7, 2023@EIUEIU104511211001
UTMSep 30, 2023TNSTTNST11530231300
UTMSep 23, 2023@UNAUNA72219———0
UTMSep 16, 2023HCUHCU51808———0
UTMSep 9, 2023MOSTMOST6330111800
UTMSep 2, 2023@UGAUGA#131006———1
UTMSep 2, 2023@UGAUGA#431006———1
By season2 seasons
SeasonGPCARRUSH YDSYDS/CARRUSH TDLONG RUNRECREC YDSREC TD
2024UTM314352.5011350
2023UTM11703825.54754260

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.