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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.

SDAK

South Dakota Coyotes

Players
48 of 48
Player
Aidan BoumanQB1418924-7.5—————
Nevan CremascoliQB21.5———————
Jack MartensWR14——-0.1—2.229.33—
L.J. Phillips Jr.RB14——131.918213.91—
Larenzo FennerWR14——1—3.170.315—
Will LeylandPK14————————
Carson FletcherRB13——35.510.56.4——
Reid WatkinsRB13——22.310.42——
Tennel BryantWR13——9.110.714.8——
Tyler EbelP13————————
Tysen BozeWR10————1.6251—
Zach WitteTE9————218.23—
Jesse MillerTE8——0.6—2.418.51—
Mikey MunnDB7———————1
DeJuan LewisDB6———————2.8
Matt WalshDB6———————1.5
Javion PhelpsWR5————1.414.2——
RJ StewartDB5———————2.6
Brayden WhiteWR4————0.3-0.5——
Dallas HolmesTE4————216.3——
Nate EwellLB4———————5.8
Zeke MataPK4————————
Caden CrawfordDE3———————5
Caden FreyTE3————1.37.3——
Carter HooperDL3———————2.3
Chris DixonDL3———————5.7
Gabriel HardmanLB3———————5.3
Mosai NewsomDL3———————2
Nathan LaperiDL3———————1.7
Nyle DickelLB3———————4
Roman TillmonDB3———————5
Wade AbramsLB3———————3.3
Ashton PaineDB2———————3
Austin RosettaLB2———————1.5
Bradley McGannonDL2———————1
Charles Pierre Jr.RB2——51—218.5——
DJ KennardDB2———————3
Jaden BrownDB2———————1
Lincoln AdamsLB2———————2.5
Mason CowgillTE2————0.51.5——
Beau RyanLB1———————2
Cain WallnerLB1———————1
Dylan HudgensLB1———————1
Jaylen Boehm-PetersonDB1———————1
Jeff BowieDL1———————4
Sam KohlsOL1———————1
Torriq BrumfieldDB1———————2
Ty MorrisDB1———————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.