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.

UTU

Utah Tech Trailblazers

Players
50 of 50
Player
Reggie GraffQB12122.71038.240.121—
Bronson BarbenQB4143.8415——-0.5——
Deacon HillQB410321.31————
Luke MacPhailQB317.3—2.7—————
Bryce ParkerWR110.211.5—2.538.14—
Andy DayP12————————
Ilya UvaydovPK12————————
Eric OlsenTE10——1.4—1.825.910.1
Jay McEuenTE10——2.1—1.812.4——
Shamar GarrettWR10——6.613.725.61—
Chris StreetRB9——25.81216.12—
Bretton StoneRB8——15.621.921.1——
Nygel OsborneRB8——12.510.51.4——
Daniel ThomasonWR7————1.115.3——
Kona CrowellRB7——1011.716.3——
Eni FalayiTE6————5685—
Chernet EstesWR5————225.2——
Josh RillosWR4————3.332.3——
Ace ChatmanRB3——12—1.74.3——
Alec BurtonTE3————139.72—
Cody CarlsonDL3———————1
Fisher JacksonLB3————0.33—1
Gabriel ValenzuelaDB3———————1.7
Jayden SheridanCB3———————0.7
Damani WilksWR2————1.516.5——
Jagger WilliamsDB2———————0.5
Scooter JacksonDB2———————2.5
Tru TannerWR2————2.525.51—
Amari DuncanDB1———————1
Amari PouncyDE1———————4
Brady SorensonDB1————————
Brevin HamblinS1———————10
Dane WhalenDL1————————
Demetrius FatongiatauDL1———————5
Elijah WoodLB1———————1
Foster SlaughterDB1———————1
Jace SweetenLB1———————1
Jaxson SmithDB1————————
John SniffenDL1———————3
Laytan TanuvasaDL1———————2
Malakai FakahuaLB1———————7
Micah GardnerDB1———————6
Micah VukiDL1———————2
Quincy LejayDB1————————
Rick Mua'eLB1———————8
Spencer RichLB1———————13
TJ Talamoni-MarcksDL1———————2
Trey PriceOL1—————-1——
Tuiits KanoshDL1———————2
Will AlovaoLB1———————1

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.