Long Island University

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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.

LIU

Long Island University Sharks

Players50 of 50
Player
Camden Orth10166.5102.91————
Kevin Melore2-1—-2.5—————
Jonathan DeBique10——5940.87——
Justin Hertlein10————————
Kevin Wilson10——1610.40.41—
Owen Glascoe10————3.655.53—
Paul Inzerillo10————————
Derick Eugene9————4.241.25—
Shemar Paul9——18.410.1-0.2——
Tosin Oyekanmi9——3.8—341.71—
Ricky Conway8——1.9—0.43.9——
Davon Wells7——3.7—113.1——
Steven Chambers7————1.614.4——
Zachary Rhodes5————0.2-0.2——
Domonhic Jennings4——6.3—————
Tariq Snead4———————0.8
Brian Walker3————16.7——
Jerome Brooks III3———————2.7
Rudy Silvera3———————1.7
Ben Waibogha2———————2.5
Kristos Fernandez2———————0.5
Noah Anderson2————0.51——
Tyler Tobias2————0.55—1.5
Anthony Gambino1————11——
Anthony Lavio1———————4
Antwan Spencer1———————4
Brendan Didier1———————1
Caleb Caslow1———————5
Caleb Nartey1———————1
Derrick Edafe1———————2
Dylan Cook1———————3
Frank Sokenis1———————3
Harleeontai Reed1————1-2——
Jaden Dawkins1———————5
Jaiden Roe1———————3
James Regateiro1———————2
Jayson Emery1———————1
Juaquin Elliott1————120——
Kevin Gutierrez1———————2
Larry Elder1———————3
Lemeko Mayes1————216——
Mason Buono1———————3
Matt Aloni1———————1
Matthew Molina1———————8
Matthew Nieves1————————
Michael Palmaccio1———————1
Qualil Lumpkins1———————1
Rudy Ngougni1———————3
Sean Kelly1———————2
Victor Nelson1———————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.