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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.

SDSU

Tyrell Shavers

Tyrell Shavers sits 87th of 775 ncaaf wrs in yards per catch, at 17.1.

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 Played12
EfficiencyOffensevs NCAAF WRs▶
Points Added per Play0.95—
Total Points Added51.189th158/1456
ReceivingOffensevs NCAAF WRs▶
Receptions2.863rd546/1465
Receiving Yards48.475th363/1465
Yards per Catch17.189th87/775
Receiving Touchdowns370th369/1465
Longest Catch6684th232/1465
Ball SecurityOffensevs NCAAF WRs▶
Fumbles120th1055/1507
Fumbles Lost060th1/1507
Special Teamsvs NCAAF WRs▶
Punt Returns226th277/394
Punt Return Yards4.254th180/394
Punt Return Touchdowns197th4/394
12 games
DateOppRECREC YDSREC TDLONG REC
SDSUNov 27, 2022AFAAFA341015
SDSUNov 19, 2022@UNMUNM163063
SDSUNov 13, 2022SJSUSJSU4111166
SDSUNov 5, 2022UNLVUNLV450024
SDSUOct 30, 2022@FRESFRES466032
SDSUOct 23, 2022@NEVNEV336015
SDSUOct 9, 2022HAWHAW8149042
SDSUOct 1, 2022@BOISBOIS————
SDSUSep 24, 2022TOLTOL113013
SDSUSep 18, 2022@UTAHUTAH#141606
SDSUSep 11, 2022IDSTIDST336116
SDSUSep 3, 2022ARIZARIZ210111
By season2 seasons
SeasonGPRECREC YDSYDS/RECREC TDLONG RECRUSH YDSRUSH TD
2022SDSU123458117.1366——
2021SDSU101618411.5123——

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.