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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.

MRSH

Demarcus Lacey

Demarcus Lacey comes in 1097th of 1487 ncaaf wrs in receiving touchdowns, at 0.

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 5 shown▶
Playing Timevs NCAAF WRs▶
Games Played11
EfficiencyOffensevs NCAAF WRs▶
Carries with a Countable Outcome86
Points Added per Play0.00—
Total Points Added-0.04th1320/1382
Success Rate Running34.9%17/20
RushingOffensevs NCAAF WRs▶
Carries11.1100th2/682
Rushing Yards53.4100th3/682
Yards per Carry4.87/15
Rushing Touchdowns398th8/682
Longest Run4596th28/682
ReceivingOffensevs NCAAF WRs▶
Receptions1.832nd1003/1487
Receiving Yards9.59th1349/1487
Yards per Catch5.3—
Receiving Touchdowns013th1097/1487
Longest Catch2521st1172/1487
Ball SecurityOffensevs NCAAF WRs▶
Fumbles41st1512/1525
Fumbles Lost30th1521/1525
11 games
DateOppRECREC YDSREC TDLONG RECCARRUSH YDS
UNANov 18, 2023@FSUFSU#4————46
UNANov 4, 2023CARKCARK————4-3
UNAOct 28, 2023@APSUAPSU————16
UNAOct 21, 2023UTUUTU1404985
UNAOct 14, 2023@ACUACU513061877
UNASep 30, 2023EKUEKU319081143
UNASep 23, 2023UTMUTM414071126
UNASep 16, 2023@TNTCTNTC————23139
UNASep 9, 2023@TARTAR4260101795
UNASep 2, 2023UTCUTC3290251175
UNAAug 26, 2023@MERMER————1338
By season4 seasons
SeasonGPRECREC YDSYDS/RECREC TDLONG RECRUSH YDSRUSH TD
2025MRSH126576911.85681570
2024JXST588410.5017130
2023UNA11201055.30255873
2022UNA102338116.67782151

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.