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How to read this page

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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.

TLSA

Tulsa Golden Hurricane

Players
52 of 52
Player
Cardell WilliamsQB9127.71022.45————
Kirk FrancisQB4241.860.8—————
Braylon BraxtonQB635.3229—0.21.2——
Roman FullerQB340.32-2.7—————
CJ CoombesS17———————
Angus DaviesP12————————
Anthony WatkinsRB12——74.140.84.8——
Chase MeyerPK12————————
Jordan FordRB12——24.510.82——
Kamdyn BenjaminWR12——0.7—3.960.66—
Bill JacksonRB11——37.610.74.5—0.1
Carl ChesterWR9————2.444.61—
Devan WilliamsWR9————3.244.32—
Braylin PresleyRB7——2.7—1.617.4——
Jaise OliverS7———————2.1
Ben KopenskiDL6——-1————4.5
Dayne HodgeDB6———————5.3
Julien SimonLB6———————3.5
Kanion WilliamsDB6———————3.2
Kendarin RayS6———————10
Luke McGaryTE6————1.519.23—
Coleton SmithLB5———————3.6
Dorian HopkinsLB5———————3.8
Ethan HallTE5————1.47.4——
Everitt RogersDL5———————1.8
Malachai JonesS5————1.822.61—
Mitchell KulkinLB5———————3.4
Tahj GaryRB5——37.420.20.8——
Vontroy MaloneDL5———————1.2
Xavier LanierCB5———————2.6
Canon PetersS4———————1.3
Joseph AndersonDL4———————2.5
Marquis ShouldersWR4————470.85—
Nick RempertWR4————2.3251—
NuNu CampbellCB4———————3.5
Owen OstroskiDL4———————3.3
Tyree CarlisleCB4———————3.8
Cam CrooksRB3——4.3—————
Demarco JonesCB3———————1.3
Zach NeilsenDE3———————2.3
Brody ReeseDL2———————1
Colby PowersTE2————15——
Connor StrudwickLB2———————2
Justin LohrenzDE2———————1
Reggie EllisDB2———————1
Sean O'KeefeS2———————1.5
Zaid HamdanDL2———————1
Bayne TryonTE1————171—
Donte BurtonDB1————————
Grayson TempestWR1———————1
Jayden SimonDL1————————
Tai NewhouseDL1———————1

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.