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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.

ACU

Sam Hicks

Sam Hicks places 794th of 918 ncaaf rbs in receiving yards, at 1.3 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 Played9
EfficiencyOffensevs NCAAF RBs▶
Carries with a Countable Outcome11
Points Added per Play0.24—
Total Points Added4.139th556/906
Success Rate Running63.6%—
RushingOffensevs NCAAF RBs▶
Carries1.24th958/1003
Rushing Yards5.25th954/1003
Yards per Carry4.3—
Rushing Touchdowns134th555/1003
Longest Run1619th807/1003
ReceivingOffensevs NCAAF RBs▶
Receptions0.427th668/918
Receiving Yards1.313th794/918
Yards per Catch3.0—
Receiving Touchdowns035th285/918
Longest Catch817th750/918
Ball SecurityOffensevs NCAAF RBs▶
Fumbles076th1/1013
Fumbles Lost068th1/1013
Special Teamsvs NCAAF RBs▶
Kick Returns1384th57/370
Kick Return Yards26.879th78/370
Kick Return Touchdowns047th20/370
9 games
DateOppCARRUSH YDSRUSH TDLONG RUNRECREC YDSREC TDFUM
CMUNov 24, 2023TOLTOL#23———————0
CMUNov 16, 2023@OHIOOHIO———————0
CMUNov 8, 2023@WMUWMU1-5001500
CMUOct 31, 2023NIUNIU215116———0
CMUOct 21, 2023@BALLBALL31908———0
CMUOct 14, 2023AKRAKR2808———0
CMUOct 7, 2023@BUFFBUFF1101———0
CMUSep 23, 2023@USAUSA———————0
CMUSep 1, 2023@MSUMSU29053700
By season3 seasons
SeasonGPCARRUSH YDSYDS/CARRUSH TDLONG RUNRECREC YDSREC TD
2024ACU142131,3356.31490453413
2023CMU911474.31164120
2022CMU5144.004180

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.