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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.

ME

Scott Woods

In fumbles lost, Scott Woods is 1221st of 1507 ncaaf wrs, 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 Played8
EfficiencyOffensevs NCAAF WRs▶
Carries with a Countable Outcome1
Points Added per Play0.49—
Total Points Added7.930th1016/1456
Success Rate Running100%—
RushingOffensevs NCAAF WRs▶
Carries0.122nd496/654
Rushing Yards2.366th221/654
Yards per Carry18.0—
Rushing Touchdowns042nd109/654
Longest Run1879th133/654
ReceivingOffensevs NCAAF WRs▶
Receptions239th860/1465
Receiving Yards2232nd1001/1465
Yards per Catch11.0—
Receiving Touchdowns257th522/1465
Longest Catch6482nd260/1465
Ball SecurityOffensevs NCAAF WRs▶
Fumbles120th1055/1507
Fumbles Lost111th1221/1507
Special Teamsvs NCAAF WRs▶
Punt Returns1894th23/394
Punt Return Yards1487th51/394
Punt Return Touchdowns047th25/394
8 games
DateOppRECREC YDSREC TDLONG RECCARRUSH YDS
HARVNov 19, 2022YALEYALE4105164——
HARVNov 12, 2022@PENNPENN637012——
HARVOct 29, 2022@DARTDART——————
HARVOct 15, 2022@HOWHOW2707——
HARVOct 7, 2022@CORCOR110110——
HARVOct 1, 2022HCHC——————
HARVSep 24, 2022@BRWNBRWN1808——
HARVSep 16, 2022MRMKMRMK2906118
By season5 seasons
SeasonGPRECREC YDSYDS/RECREC TDLONG RECRUSH YDSRUSH TD
2025ME125565411.9566-20
2024HARV105254710.5365280
2023HARV71214412.023610
2022HARV81617611.0264180
2021HARV2———————

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.