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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.

M-OH

Miami (OH) RedHawks

Players
51 of 51
Player
Brett GabbertQB8204.31417.52————
Aveon SmithQB970.9231.11———0.1
Graham NicholsonPK13————————
Kevin DavisRB13——7.411.212.81—
Rashad AmosRB13——68.8120.42.7——
Alec BevelhimerPK12————————
Cade McDonaldWR12——0.7—2.329.130.1
Kenny TracyRB11——22.720.911.51—
Keyon MozeeRB10——132————
Michael DowellDB10———————4.2
Gage LarvadainWR9——6.6—4.271.46—
Javon TracyWR9————2.438.72—
Austin ErtlDL8———————2.8
Brian UgwuDL8———————4.5
Caiden WoullardDL8———————2.8
Corban HondruLB8———————2
Jacquez WarrenS8———————4.5
Joe Wilkins Jr.WR8————3.142.910.1
Matt SalopekLB8———————10.1
Raion StraderDB8———————4.5
Ty WiseLB8———————10
Yahsyn McKeeDB8———————4.3
Eli BlakeyS7———————3.1
Corey SuttleDL6———————1.7
Oscar McWoodLB6———————3
Silas WaltersS6———————1.7
Kobe HiltonDL5———————1.8
Miles MarshallWR5————1.826.8——
Nasir WashingtonDL5———————0.4
Ambe' CaldwellDB4———————1.8
Anthony CollierDL4———————1.3
Jordan BrunsonRB3——45.71————
Josh LukusaDE3———————1.7
Reggie VirgilWR3————0.311.310.7
Adam TrickLB2———————1
Camden RogersLB2———————1
Grant LyonsLB2————————
Kellan McLaughlinPK2————————
Luke BoldenTE2————1.530——
Nate MilanowskiRB2——34.51———0.5
Nate MuerschTE2————1.551—
Daisjaun MercerDB1———————2
Eli CoppessLB1———————1
Jack ColdironTE1————123——
Jackson KuwatchLB1———————1
Jalen PetersonDB1———————1
Mychal YharbroughDB1———————1
Que WilliamsWR1——8—————
Reid HolskeyOL1———————1
Steven FavazzoDB1———————1
William HardrickDB1————————

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.