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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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Scale

Charlotte 49ers

2022 · Regular Season · CUSA · Group of 5

Players

Overview

37 of 37

Player
Chris ReynoldsQB	10	254	22	-4	1	—	—	—	—
Xavier WilliamsQB	5	84	2	21.6	2	—	—	—	—
James FosterQB	6	28.3	2	2.8	—	—	—	—	—
Trexler IveyQB	1	101	1	-1	—	—	—	—	—
Bailey RiceP	12	1.8	—	—	—	—	—	—	—
Grant DuBoseWR	12	—	—	—	—	5.3	66	9	—
Antonio ZitaPK	12	—	—	—	—	—	—	—	—
Elijah SpencerWR	12	—	—	—	—	4.8	78.6	9	—
Shadrick ByrdRB	12	—	—	51.7	4	1.8	18.5	1	—
Victor TuckerWR	10	—	—	0.8	—	4.1	40.6	6	—
Henry RutledgeRB	8	—	—	11.4	—	1.5	23.4	1	—
ChaVon McEachernRB	7	—	—	36.6	1	0.9	5.7	—	—
Eugene Minter Jr.TE	7	—	—	-0.6	—	1.4	16.3	—	—
Taylor ThompsonTE	7	—	—	—	—	2	37.6	—	—
Nolan GroulxWR	5	—	—	-1	—	1.4	17.8	—	—
Jake ClemonsTE	4	—	—	—	—	1.3	6.3	1	—
Johnny MartinRB	4	—	—	36	1	0.8	6.8	—	—
Calvin CampRB	3	—	—	64.3	4	—	—	—	—
Markees WattsDE	3	—	—	—	—	—	—	—	—
Quinton PattenWR	3	—	—	—	—	3	29.3	—	—
Trey BlountWR	3	—	—	—	—	1	4.7	—	—
BJ TurnerLB	2	—	—	—	—	—	—	—	—
Jack ReynoldsWR	2	—	—	—	—	1.5	8.5	—	—
Wayne JonesDB	2	—	—	—	—	—	—	—	—
Bryson WhiteheadDB	1	—	—	—	—	—	—	—	—
Comanche FranciscoDB	1	—	—	—	—	—	—	—	—
Davondre RobinsonDB	1	—	—	—	—	—	—	—	—
Geo HowardCB	1	—	—	—	—	—	—	—	—
Hahsaun WilsonRB	1	—	—	4	—	—	—	—	—
Jordan AndersonDB	1	—	—	—	—	—	—	—	—
Kendric Blake Jr.WR	1	—	—	—	—	1	16	—	—
Lacy WilliamsDB	1	—	—	—	—	—	—	—	—
Micah BellRB	1	—	—	9	—	—	—	—	—
Reid WillifordLB	1	—	—	—	—	—	—	—	—
Sean BrownWR	1	—	—	2	—	1	9	—	—
Solomon RogersS	1	—	—	—	—	—	—	—	—
Steven ParkerDB	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.