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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.

MONT

Montana Grizzlies

Players
48 of 48
Player
Keali'i Ah YatQB13270.3295.970.12.5——
Jake JensenQB417.315.3—————
Luke FlowersQB321.7———————
Michael WorthamWR133.8122.765.172.28—
Ty MorrisonPK132.2——————0.1
Brooks DavisWR13——2.81452.35—
Eli GillmanRB13——107.4192.213.22—
Stevie Rocker Jr.RB13——15.921.819.23—
Drew DeckWR12————2.433.63—
Blake BohannonWR10————3.144.51—
Evan ShaferTE8————1.411.62—
Jordan DeverWR8————1.424.61—
Malae FonotiRB7——22.94111.3——
Monte GillmanWR7——4.3—0.45.3——
Josh GaleTE6————2.2273—
Korbin HendrixWR6————1.827.83—
Ian FinchWR4————0.810.3—0.3
Kade BoydS4————————
Micah HarperS4———————1
Peyton WingLB4———————0.8
Caleb OtlewskiLB3———————1.7
Hashim JonesRB3——33.710.32.3——
Jo SilverPK3————————
Kenzel LawlerCB3———————2.3
TJ RauschS3———————2.7
Geno LeonardLB2———————0.5
Prince FordCB2———————0.5
Tanner HuffS2———————0.5
Braydon BaileyDT1———————1
Cameron GurnseyWR1————18——
Clay OvenLB1———————3
Cy StevensonLB1————————
DeAnte GentryCB1————————
Diezel WilkinsonDB1———————5
Hayden SchwartzDL1————————
Isaac KeimDL1————————
Jake MasonDL1———————1
Jareb RamosDT1———————3
Kellen DetrickDE1——2—————
Kyon LoudCB1———————2
Lekeldrick BridgesWR1——-20—————
Matai Mata'afaDL1————————
Solomon TuliaupupuLB1———————5
Styles GoodmanLB1————————
Talen ReynoldsRB1——6—————
Terahiti WolfeS1————————
Titus RohrerTE1————116——
Tommy Running RabbitRB1——421————

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.