Montana State

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College Football Research

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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.

Season

Team

Games

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Montana State Bobcats

2022 · Regular Season · Big Sky · FCS

Players

Overview

37 of 37

Player
Tommy MellottQB	11	137	10	96.2	12	0.1	1.1	—	—
Sean ChambersQB	10	62.3	8	83.3	18	—	—	—	—
Sean AustinQB	4	42.5	2	11.8	—	—	—	—	—
Derryk SnellTE	13	1.4	1	1.2	2	1.4	21.2	3	—
Coy SteelWR	2	6	—	—	—	0.5	19.5	—	—
Blake GlessnerPK	13	—	—	—	—	—	—	—	—
Elijah ElliottRB	13	—	—	55.8	1	1	9	—	—
Willie PattersonWR	13	—	—	0.5	—	3.1	44.5	9	—
Marqui JohnsonRB	11	—	—	38	7	0.4	2.9	—	—
Ravi AlstonWR	11	—	—	—	—	2.3	31.5	1	—
Taco DowlerWR	11	—	—	2.2	—	0.7	12.6	—	—
Bryce LeightonP	10	—	—	—	—	—	—	—	—
Clevan ThomasWR	10	—	—	0.5	—	1.8	25.9	3	—
Treyton PickeringTE	9	—	—	-0.2	—	2.1	34.6	1	—
R.J. FitzgeraldFB	8	—	—	3	4	0.3	0.6	2	—
Garrett CoonRB	6	—	—	51.2	1	1.2	11	1	—
Callahan O'ReillyLB	5	—	—	—	—	—	—	—	—
Lane SumnerRB	4	—	—	112.5	—	2.3	22.8	—	—
James CampbellCB	3	—	—	—	—	—	—	—	—
Ty OkadaCB	3	—	—	—	—	—	—	—	—
Ben SeymourDE	2	—	—	—	—	—	—	—	—
Danny UluilakepaLB	2	—	—	—	—	—	—	—	—
Isaiah IfanseRB	2	—	—	126.5	2	0.5	-3	—	—
Jared WhiteRB	2	—	—	46.5	—	1	2.5	—	—
Ryan LonerganTE	2	—	—	—	—	1.5	8.5	—	—
Tayvian WilliamsWR	2	—	—	23	—	—	—	—	—
Aidan GarriganWR	1	—	—	—	—	1	7	1	—
Christian AnayaWR	1	—	—	—	—	1	11	—	—
Jeffrey Manning Jr.S	1	—	—	—	—	—	—	—	—
Jory ChoateLB	1	—	—	—	—	—	—	—	—
Level Price Jr.S	1	—	—	—	—	—	—	—	—
Malik MullinsWR	1	—	—	—	—	2	25	—	—
Neil DailyLB	1	—	—	—	—	—	—	—	—
Nolan AskelsonLB	1	—	—	—	—	—	—	—	—
Rylan OrttDB	1	—	—	—	—	—	—	—	—
Sebastian ValdezDT	1	—	—	—	—	—	—	—	—
Simeon WoodardCB	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.