Every player
New here?

How to read this page

▶

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.

SDAK

South Dakota Coyotes

Players
46 of 46
Player
Aidan BoumanQB13196.215-4.310.11.9——
Jarrett SynekQB225.5—14.5—————
Travis TheisRB131.9—64.962.111.9——
Lem WashRB1——1—————
Carter BellWR13——0.2—3.968.95—
Will LeylandPK13————0.13.9——
Tyler EbelP12————————
Jack MartensWR11————2.533.31—
JJ GalbreathTE11————3.352.65—
Keyondray JonesRB11——5.631.312.21—
Nate ThomasRB10——39.85————
Charles Pierre Jr.RB8——5951.36.1——
Josiah GanuesDB6———————1.8
Michael MansarayRB6——11.710.31.31—
Shahid BarrosDB6———————3.2
Blake HoldenDL5———————2.6
Javion PhelpsWR5————244.82—
Mi'Quise Humphrey-GraceDL4———————1.3
Micah RoaneDL4———————3
Myles HardenCB4———————3.3
Stephen HillisLB4———————3.8
Tristan MichaudWR4————1.820——
Brendan WebbDL3———————3.7
Brock MogensenLB3———————8
Caleb McKenzieDB3———————1.7
Dennis ShorterDB3———————7
L.J. Phillips Jr.RB3——322————
Parker FryarLB3———————2.3
Teven McKelveyDB3———————2.3
Tim WhiteDB3———————2.3
Austin RosettaLB2———————1.5
Dominic ReavesDB2———————1
Jack HagyTE2————1.58.5——
Jonathan JoanisLB2———————2.5
Makai LovettWR2————116——
Mosai NewsomDL2———————1.5
Cole RhodenWR1————16——
Deidrick StanleyDB1———————2
Dominic CaggianoDL1———————1
Gabriel HardmanLB1————————
Jamahd MonroeWR1————14——
Keyon TurnerDB1———————1
Matt WalshDB1———————2
Nick GaesDL1———————3
Will DunnDL1———————1
Zeke MataPK1————————

About College Football Research

▶

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.