Every player
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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.

STMN

St. Thomas Tommies

Players
54 of 54
Player
Amari PowellQB7112.362.92————
Tak TateokaQB785.451.3—————
Andrew McElroyWR9——0.2—4.358.32—
Travis PluggeTE2——371————
Michael RostbergQB1————————
Elliot HuetherP11————————
Hope AdebayoRB11——66.8100.20.8——
Shawn ShipmanRB11——69.950.41——
Stephen ShagenPK10————————
Gabriel AbelRB9——26.440.20.7——
Jacob WildermuthWR8——-0.3—2.523.33—
Landon ReedRB8——7.310.42.1——
Colin ChaseWR7——2.1—2.727.92—
Patrick WagnerTE6————1.519.84—
Terrance KamaraWR6——-2.5—1.210.5——
Bryce BoydWR5————226——
Johnson FallahDB5———————0.8
Grif WurtzDB4——5.5————3.3
Lucas TorgersonWR4————1.38.3——
Matthew RinkTE4————0.810.5——
Noah FriedtDL3———————0.7
Yusef LeakDB3———————1.3
Andrew ThomasWR2————17—0.5
C.J. WarrenDL2———————4
Evan TylerDL2———————1
Jack MohlerLB2———————7.5
Jonathan BunceLB2———————9
Kam InDB2———————1
Luke HerzogLB2———————6.5
Luke SchulerTE2————————
Nick HandDB2———————6.5
Ryan CalcagnoDB2———————5
Ryan SeverLB2———————2
Seth BullardLB2———————2
Seth HopkinsDL2———————1.5
Tommy ShelstadLB2———————4.5
Aiden CarlsonWR1————112——
Blake OsbahrDL1———————1
Caden NelsonLB1————————
Caleb SandstromDL1———————2
Colin ZinnDB1————————
David AyeniLB1———————6
Eli PaulsonWR1————322——
Emmanuel OlagbajuDL1———————1
Gus TheisenRB1——-4—————
IBK MafeLB1——7—————
Jake ColemanDL1———————1
Joey FitzgeraldDL1———————3
Love AdebayoRB1——-1—————
Matthew GuggemosDB1————————
Mitchell ScharesLB1————————
Rod FinleyDB1———————1
Ryan BercichLB1————————
Sanjay ReddDB1————————

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.