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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

Rome Odunze

In receptions, Rome Odunze is 32nd of 1465 ncaaf wrs, at 6.4 per game.

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 Outcome3
Points Added per Play0.81—
Total Points Added87.899th16/1456
Success Rate Running100%—
RushingOffensevs NCAAF WRs▶
Carries0.353rd305/654
Rushing Yards0.536th419/654
Yards per Carry2.0—
Rushing Touchdowns189th34/654
Longest Run533rd417/654
ReceivingOffensevs NCAAF WRs▶
Receptions6.498th32/1465
Receiving Yards98.999th15/1465
Yards per Catch15.576th186/775
Receiving Touchdowns793rd83/1465
Longest Catch6179th307/1465
Ball SecurityOffensevs NCAAF WRs▶
Fumbles065th1/1507
Fumbles Lost060th1/1507
11 games
DateOppRECREC YDSREC TDLONG RECCARRUSH YDS
WASHNov 27, 2022@WSUWSU515714815
WASHNov 20, 2022COLOCOLO21709——
WASHNov 13, 2022@OREORE#6656013——
WASHNov 5, 2022ORSTORST#247102027——
WASHOct 23, 2022@CALCAL663015——
WASHOct 15, 2022ARIZARIZ9169248——
WASHOct 8, 2022@ASUASU91150251-3
WASHOct 1, 2022@UCLAUCLA8116233——
WASHSep 25, 2022STANSTAN8161161——
WASHSep 17, 2022MSUMSU#11348029——
WASHSep 4, 2022KENTKENT78412214
By season3 seasons
SeasonGPRECREC YDSYDS/RECREC TDLONG RECRUSH YDSRUSH TD
2023WASH13811,42817.61350371
2022WASH11701,08815.576161
2021WASH94141510.1455130

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.