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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.

WASH

Ja'Lynn Polk

Ja'Lynn Polk comes in 124th of 1465 ncaaf wrs in receiving touchdowns, at 6.

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 Played12
EfficiencyOffensevs NCAAF WRs▶
Carries with a Countable Outcome1
Points Added per Play0.86—
Total Points Added52.490th149/1456
Success Rate Running100%—
RushingOffensevs NCAAF WRs▶
Carries0.14th619/654
Rushing Yards1.353rd308/654
Yards per Carry15.0—
Rushing Touchdowns042nd109/654
Longest Run1572nd172/654
ReceivingOffensevs NCAAF WRs▶
Receptions3.269th452/1465
Receiving Yards54.181st277/1465
Yards per Catch17.189th89/775
Receiving Touchdowns689th124/1465
Longest Catch7694th79/1465
Ball SecurityOffensevs NCAAF WRs▶
Fumbles065th1/1507
Fumbles Lost060th1/1507
12 games
DateOppRECREC YDSREC TDLONG RECCARRUSH YDS
WASHNov 27, 2022@WSUWSU482141——
WASHNov 20, 2022COLOCOLO339016——
WASHNov 13, 2022@OREORE#6395176——
WASHNov 5, 2022ORSTORST#24739013115
WASHOct 23, 2022@CALCAL113013——
WASHOct 15, 2022ARIZARIZ495045——
WASHOct 8, 2022@ASUASU215010——
WASHOct 1, 2022@UCLAUCLA115015——
WASHSep 25, 2022STANSTAN111011——
WASHSep 17, 2022MSUMSU#116153353——
WASHSep 10, 2022PRSTPRST347123——
WASHSep 4, 2022KENTKENT345020——
By season3 seasons
SeasonGPRECREC YDSYDS/RECREC TDLONG RECRUSH YDSRUSH TD
2023WASH11601,00016.7892311
2022WASH123864917.1676150
2021WASH3511422.8155——

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.