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.

UTM

Makhia Sherrard

Makhia Sherrard comes in 10th of 538 ncaaf wrs in rushing touchdowns, at 1.

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 Played7
EfficiencyOffensevs NCAAF WRs▶
Carries with a Countable Outcome5
Points Added per Play0.48—
Total Points Added15.379th346/1615
Success Rate Running80%—
RushingOffensevs NCAAF WRs▶
Carries0.781st101/538
Rushing Yards8.989th59/538
Yards per Carry12.4—
Rushing Touchdowns193rd10/538
Longest Run3494th34/538
ReceivingOffensevs NCAAF WRs▶
Receptions371st431/1602
Receiving Yards35.963rd587/1602
Yards per Catch12.036th506/788
Receiving Touchdowns278th247/1602
Longest Catch4267th516/1602
Ball SecurityOffensevs NCAAF WRs▶
Fumbles111th1364/1669
Fumbles Lost16th1487/1669
Special Teamsvs NCAAF WRs▶
Kick Returns352nd155/360
Kick Return Yards9.442nd209/360
Kick Return Touchdowns048th18/360
7 games
DateOppRECREC YDSREC TDLONG RECCARRUSH YDS
UTMOct 17, 2026GWEBGWEB218113110
UTMOct 10, 2026@TNSTTNST2403134
UTMSep 26, 2026@APSUAPSU58504212
UTMSep 19, 2026@MEMMEM453120——
UTMSep 12, 2026@WVUWVU325010216
UTMSep 5, 2026CHSTCHST220017——
UTMAug 27, 2026CARKCARK346036——

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.