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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.

ASU

Xavier Guillory

Xavier Guillory is 80th of 1465 ncaaf wrs in receiving yards, at 78.5 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 Played10
EfficiencyOffensevs NCAAF WRs▶
Carries with a Countable Outcome0
Points Added per Play0.90—
Total Points Added28.070th431/1456
RushingOffensevs NCAAF WRs▶
Carries0.113th549/654
Rushing Yards0.224th494/654
Yards per Carry2.0—
Rushing Touchdowns042nd109/654
Longest Run220th511/654
ReceivingOffensevs NCAAF WRs▶
Receptions5.292nd115/1465
Receiving Yards78.595th80/1465
Yards per Catch15.172nd214/775
Receiving Touchdowns478th266/1465
Longest Catch7593rd90/1465
Ball SecurityOffensevs NCAAF WRs▶
Fumbles27th1353/1507
Fumbles Lost111th1221/1507
10 games
DateOppRECREC YDSREC TDLONG RECCARRUSH YDS
IDSTNov 12, 2022@WEBWEB52101112
IDSTNov 5, 2022@UCDUCD213011——
IDSTOct 22, 2022NAUNAU588051——
IDSTOct 15, 2022CPCP5120171——
IDSTOct 8, 2022@MTSTMTST880022——
IDSTOct 1, 2022MONTMONT786022——
IDSTSep 24, 2022@UNCOUNCO7120151——
IDSTSep 17, 2022CARKCARK690029——
IDSTSep 11, 2022@SDSUSDSU394175——
IDSTAug 27, 2022@UNLVUNLV473134——
By season4 seasons
SeasonGPRECREC YDSYDS/RECREC TDLONG RECRUSH YDSRUSH TD
2024ASU111932016.8561——
2023ASU62122610.814700
2022IDST105278515.147520
2021IDST51517611.7028——

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.