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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

Zach Palmer-Smith

Zach Palmer-Smith sits 31st of 937 ncaaf rbs in receiving touchdowns, at 2.

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 4 shown▶
Playing Timevs NCAAF RBs▶
Games Played13
RushingOffensevs NCAAF RBs▶
Carries20.899th11/1016
Rushing Yards110.298th19/1016
Yards per Carry5.364th173/477
Rushing Touchdowns1194th55/1016
Longest Run5979th208/1016
ReceivingOffensevs NCAAF RBs▶
Receptions0.639th568/937
Receiving Yards7.860th373/937
Yards per Catch12.6—
Receiving Touchdowns293rd31/937
Longest Catch5995th51/937
Ball SecurityOffensevs NCAAF RBs▶
Fumbles135th533/1037
Fumbles Lost121st690/1037
13 games
DateOppCARRUSH YDSRUSH TDLONG RUNRECREC YDSREC TDFUM
RICHNov 30, 2024LEHLEH22107029———0
RICHNov 23, 2024W&MW&M25129115———0
RICHNov 16, 2024@HAMPHAMP271662541700
RICHNov 9, 2024@CAMCAM205317———1
RICHNov 2, 2024TOWTOW289809———0
RICHOct 26, 2024@BRYBRY116811811510
RICHOct 19, 2024DELDEL21681151800
RICHOct 5, 2024NCATNCAT252001441-300
RICHSep 28, 2024@ELONELON241671561500
RICHSep 21, 2024@DSUDSU3220715915910
RICHSep 14, 2024CHSOCHSO21802201300
RICHSep 7, 2024WOFWOF71405———0
RICHAug 31, 2024@UVAUVA7760431700
By season5 seasons
SeasonGPCARRUSH YDSYDS/CARRUSH TDLONG RUNRECREC YDSREC TD
2026ULM4261254.81312170
2025ULM121156605.74567470
2024RICH132701,4335.3115981012
2023WAG111356995.23662240
2022WAG9692493.621810650

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.