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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.

DUKE

Sahmir Hagans

Sahmir Hagans ranks 4th of 394 ncaaf wrs in punt return 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 5 shown▶
Playing Timevs NCAAF WRs▶
Games Played11
EfficiencyOffensevs NCAAF WRs▶
Points Added per Play0.67—
Total Points Added28.271st429/1456
ReceivingOffensevs NCAAF WRs▶
Receptions2.553rd687/1465
Receiving Yards33.555th662/1465
Yards per Catch13.658th325/775
Receiving Touchdowns584th191/1465
Longest Catch4149th740/1465
Ball SecurityOffensevs NCAAF WRs▶
Fumbles065th1/1507
Fumbles Lost060th1/1507
Special Teamsvs NCAAF WRs▶
Kick Returns233rd312/503
Kick Return Yards3.630th351/503
Kick Return Touchdowns049th13/503
Punt Returns443rd208/394
Punt Return Yards13.386th56/394
Punt Return Touchdowns197th4/394
11 games
DateOppRECREC YDSREC TDLONG REC
DUKENov 26, 2022WAKEWAKE8139230
DUKENov 19, 2022@PITTPITT318011
DUKENov 12, 2022VTVT220013
DUKENov 4, 2022@BCBC545116
DUKEOct 16, 2022UNCUNC231120
DUKEOct 8, 2022@GTGT————
DUKEOct 1, 2022UVAUVA2104
DUKESep 24, 2022@KUKU112012
DUKESep 17, 2022NCATNCAT248041
DUKESep 10, 2022@NUNU————
DUKESep 2, 2022TEMTEM254139
By season5 seasons
SeasonGPRECREC YDSYDS/RECREC TDLONG RECRUSH YDSRUSH TD
2025DUKE133746312.5635——
2024DUKE12423859.2365——
2023DUKE9252058.2019——
2022DUKE112736813.6541——
2021DUKE3155.005——

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.