Every player
New here?

How to read this page

▶

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.

ETAM

Darlington Frasch

Darlington Frasch is 927th of 1003 ncaaf rbs in longest run, at 10.

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 Played7
EfficiencyOffensevs NCAAF RBs▶
Carries with a Countable Outcome16
Points Added per Play0.12—
Total Points Added2.532nd618/906
Success Rate Running37.5%—
RushingOffensevs NCAAF RBs▶
Carries2.614th866/1003
Rushing Yards7.68th919/1003
Yards per Carry2.9—
Rushing Touchdowns134th555/1003
Longest Run107th927/1003
ReceivingOffensevs NCAAF RBs▶
Receptions0.636th582/918
Receiving Yards5.749th469/918
Yards per Catch10.0—
Receiving Touchdowns035th285/918
Longest Catch2161st351/918
Ball SecurityOffensevs NCAAF RBs▶
Fumbles076th1/1013
Fumbles Lost068th1/1013
Special Teamsvs NCAAF RBs▶
Kick Returns116th252/370
Kick Return Yards1.113th323/370
Kick Return Touchdowns047th20/370
7 games
DateOppCARRUSH YDSRUSH TDLONG RUNRECREC YDSREC TDFUM
ETAMNov 11, 2023SELASELA1-50012100
ETAMNov 4, 2023@LAMLAM2614———0
ETAMOct 28, 2023@HCUHCU31081500
ETAMOct 21, 2023NICHNICH270521400
ETAMOct 14, 2023@UIWUIW1101———0
ETAMOct 8, 2023MCNMCN52009———0
ETAMSep 30, 2023@SFASFA423010———0
By season3 seasons
SeasonGPCARRUSH YDSYDS/CARRUSH TDLONG RUNRECREC YDSREC TD
2024ETAM1122.002———
2023ETAM718532.91104400
2022ETAM13124.006———

About College Football Research

▶

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.