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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.

MTST

Montana State Bobcats

Players
55 of 55
Player
Justin LamsonQB4229.3722.82————
Patrick DuchienQB346.72141————
Adam JonesRB4——805334.8——
Dane SteelWR4————4.381.54—
Blaine DowningDE4———————2
Brian HarrisDB4———————1.3
Bryant MeredithDB4———————2.3
Carter DahlkeWR4——2.3—1.53210.5
Cole TaylorLB4———————8.3
Colson CoonRB4——25—0.52.5——
Colter PetreDB4———————6.3
Hunter SharbonoDT4———————1.8
Jabez WoodsWR4————0.511.510.3
Myles SanstedPK4————————
Rocky LencioniTE4————2.327.51—
Taco DowlerWR4——9.3—5.854.51—
Takhari CarrDB4———————2.3
Taki UluilakepaDB4———————3
Tayden GrayDB4———————3.5
Tim Thomas IIDB4———————2
Xavier AhrensLB4———————3.5
Zac CrewsDE4———————3.3
Zack BlackDT4———————2.5
Brendon RossDB3———————1.7
Colby FrokjerP3————————
Dominic SolanoDE3———————2.3
Jared WhiteRB3——5.711.310.3——
Jordan ReedWR3————1.78.7——
Josaiah AsuegaDT3———————1.3
Logan FredericksenDE3———————2
Brock SteelLB2———————3.5
Bryce GrebeLB2———————2
Cale BreslinRB2——8.5—————
Elias BonnerDB2———————2
Gianni EdwardsDB2———————1.5
Hudson WiensDL2———————1
Jake VigenDE2———————2
JJ DolanDB2———————3
Josh WoodberryLB2———————1.5
Kory BoydDB2———————2.5
Mason DethmanDB2———————1.5
Ryan KraheLB2———————1
Rylan SchleppTE2————1310.5
Seth BrockDE2———————3
Talon MarshDL2———————2.5
Adam GuajardoDE1———————1
AJ TanupoDT1———————1
Breck ReedWR1————19——
Caden DowlerDB1———————3
Carter CurnowTE1————16——
Graysen SchneiderDT1———————1
Kayden SteptoeDB1———————2
Luke OxarartDB1———————2
Luvens ValcinTE1————12——
Marcus Coleman IICB1———————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.