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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.

ODU

Old Dominion Monarchs

Players
51 of 51
Player
Grant WilsonQB11184.2161520.12.41—
Jack ShieldsQB3117.7217.71————
Ahmarian GrangerWR6512.5—2.3351—
Ethan SanchezPK12————————
LaMareon JamesCB11———————1.2
Ethan DuaneP10————————
Isiah PaigeWR10————3.938.21—
Keshawn WicksRB10——55.241.28.31—
Reymello MurphyWR10————2.749.53—
Kelby WilliamsWR9————2.647.62—
Kadarius CallowayRB8——74.34161—
Jailen ButlerTE7————1.15.7——
Javon HarveyWR7————4.155.940.3
Obie SanniRB7——35.410.98——
Jordan BlyWR6————2.28.71—
Ashton WhitnerS5———————2.8
Denzel LowryDL5———————3.2
Dominic DuttonWR5————1.235.64—
Kris TrinidadDE5———————3.2
Terry Jones Jr.DB5———————6.6
Wayne Matthews IIILB5———————8.8
Devin RocheRB4——45.3—14.8——
Ian BrandtP4————————
Jason HendersonLB4———————17
Jaylon White-McClainEDGE4———————2
Khian'Dre HarrisDB4———————1.5
Mario ThompsonLB4———————4
Nolan JohnsonCB4———————2
Shawn Asbury IIDB4———————5.3
Tahj Ra-ElDB4———————4.3
Cole DanielsDL3———————2.3
Jahlil TaylorDT3———————2
Mario EasterlyS3———————2
Markus KnightS3————————
Rasheed ReasonDB3———————5
Tariq SimsRB3——13.7—0.30.3—0.3
Devin Brandt-EppsDT2———————4
EJ GreenLB2———————0.5
Ja'Mez DrummerLB2———————1
Jahleel CulbreathLB2———————1
Jalen SatchellDL2———————2
Monterio SmithS2———————0.5
Ryan RameyS2———————1
Sayyid StevensLB2———————2.5
Amorie MorrisonDE1———————3
DJ ChandlerTE1————————
Isaiah SpencerTE1———————1
Jeremy Mack Jr.LB1———————2
Koa NaotalaLB1————————
Kris CaineDE1———————2
Ozlo RigbyPK1———————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.