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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.

ULM

NyNy Davis

NyNy Davis is 635th of 654 ncaaf wrs in yards per catch, at 7.9.

94th beats 94% of the NCAAF WRs; 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 WRs▶
Games Played10
EfficiencyOffensevs NCAAF WRs▶
Carries with a Countable Outcome1
Points Added per Play0.70—
Total Points Added18.249th710/1382
Success Rate Running100%—
RushingOffensevs NCAAF WRs▶
Carries0.117th550/682
Rushing Yards1.455th305/682
Yards per Carry14.0—
Rushing Touchdowns041st122/682
Longest Run1469th201/682
ReceivingOffensevs NCAAF WRs▶
Receptions2.861st577/1487
Receiving Yards22.232nd1005/1487
Yards per Catch7.93rd635/654
Receiving Touchdowns259th497/1487
Longest Catch5169th452/1487
Ball SecurityOffensevs NCAAF WRs▶
Fumbles065th1/1525
Fumbles Lost059th1/1525
Special Teamsvs NCAAF WRs▶
Kick Returns112th373/489
Kick Return Yards1.918th400/489
Kick Return Touchdowns048th16/489
10 games
DateOppRECREC YDSREC TDLONG RECCARRUSH YDS
ULMNov 25, 2023@ULUL29011114
ULMNov 18, 2023@MISSMISS#13323011——
ULMNov 11, 2023TROYTROY31206——
ULMNov 4, 2023@USMUSM3506——
ULMOct 28, 2023ARSTARST343133——
ULMOct 21, 2023@GASOGASO478151——
ULMOct 14, 2023@TXSTTXST21109——
ULMOct 1, 2023APPAPP217010——
ULMSep 10, 2023LAMLAM1101——
ULMSep 2, 2023ARMYARMY523013——
By season2 seasons
SeasonGPRECREC YDSYDS/RECREC TDLONG RECRUSH YDSRUSH TD
2023ULM10282227.9251140
2022USU714976.9014150

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.