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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.

STAN

Stanford Cardinal

Players56 of 56
Player
Tanner McKee10232.715—4———0.2
Jack West345—-8.3—————
Ari Patu224115.5—————
Isaiah Sanders85.8—8.33————
Dylan Plautz126—-3—————
Nathaniel Peat12——33.730.95.3—0.3
Ryan Sanborn12————————
Austin Jones11——34.422.924.31—
Ben Yurosek11——1—3.959.830.1
Joshua Karty11———————0.1
Elijah Higgins10————4.5504—
Kyu Blu Kelly8———————3.9
Bryce Farrell7——1.1—218.710.3
Dalyn Wade-Perry7———————2.3
EJ Smith7——1912.110.6——
Gabe Reid7———————5.4
John Humphreys7————3411—
Jordan Fox7———————3.3
Kendall Williamson7———————5.1
Levani Damuni7———————7.4
Ricky Miezan7———————6
Thomas Booker IV7———————4.9
Tristan Sinclair7———————2.7
Tucker Fisk7———————2.1
Casey Filkins6——7.3—0.51.8—0.2
Stephen Herron6———————1.8
Brycen Tremayne5————3.8485—
Jacob Mangum-Farrar5———————4.6
Jimmy Wyrick5———————1.2
Noah Williams5———————4.4
Ryan Johnson5———————1.8
Jay Symonds4————1.31410.3
Michael Wilson4————4.846.3——
Nic Toomer4———————3.8
Silas Starr4————1.513.5——
Alaka'i Gilman3———————5.3
Bradley Archer3————110.7——
Ethan Bonner3———————4.3
Houston Heimuli3————0.76—0.3
Jaden Slocum3———————1
Tangaloa Kaufusi3———————1.3
Tobin Phillips3———————1
Andres Fox2———————1.5
Jonathan McGill2———————3
Lance Keneley2———————1
Salim Turner-Muhammad2———————2
Aeneas DiCosmo1———————1
Anthony Franklin1———————1
Bailey Parsons1———————1
Branson Bragg1———————1
Colby Bowman1———————1
Emmet Kenney1————————
Ese Dubre1———————1
Jake Lynch1———————1
Lukas Ungar1————213——
Zahran Manley1———————2

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.