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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.

MONM

Makhi Green

In rushing touchdowns, Makhi Green is 751st of 996 ncaaf rbs, at 0.

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 Played8
EfficiencyOffensevs NCAAF RBs▶
Carries with a Countable Outcome4
Points Added per Play0.07—
Total Points Added0.427th722/986
Success Rate Running50%—
RushingOffensevs NCAAF RBs▶
Carries0.52nd977/996
Rushing Yards22nd972/996
Yards per Carry4.0—
Rushing Touchdowns012th751/996
Longest Run84th952/996
ReceivingOffensevs NCAAF RBs▶
Receptions0.312th778/904
Receiving Yards2.824th689/904
Yards per Catch11.0—
Receiving Touchdowns033rd300/904
Longest Catch1641st519/904
Ball SecurityOffensevs NCAAF RBs▶
Fumbles137th474/1008
Fumbles Lost125th615/1008
Special Teamsvs NCAAF RBs▶
Kick Returns2597th12/386
Kick Return Yards66.399th6/386
Kick Return Touchdowns048th13/386
8 games
DateOppCARRUSH YDSRUSH TDLONG RUNRECREC YDSREC TDFUM
MONMNov 19, 2022STBKSTBK21008———0
MONMNov 5, 2022@DELDEL———————0
MONMOct 29, 2022TOWTOW———————0
MONMOct 22, 2022URIURI———————0
MONMOct 15, 2022@MEME————1601
MONMSep 24, 2022@VILLVILL1101———0
MONMSep 17, 2022GTWNGTWN————11600
MONMSep 10, 2022FORFOR1505———0
By season4 seasons
SeasonGPCARRUSH YDSYDS/CARRUSH TDLONG RUNRECREC YDSREC TD
2025MONM56152.5063841
2024MONM12552785.10469950
2023MONM715986.51138740
2022MONM84164.0082220

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.