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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.

UCLA

UCLA Bruins

Players
52 of 52
Player
Ethan GarbersQB11247.91612.41————
Justyn MartinQB359.71-3—————
Brody RichterP12————————
Bryan AddisonDB12———————3.6
Carson SchwesingerLB12———————11.3
Jaylin DaviesCB12———————2.5
K.J. WallaceDB12———————4.1
Kain MedranoLB12———————6
Kaylin MooreDB12———————3.1
Keegan JonesRB12——14.911.616.81—
Mateen BhaghaniPK12———————0.1
Ramon HendersonDB12———————2.8
TJ HardenRB12——42.223.330.71—
Devin KirkwoodDB11———————2.2
Jay ToiaDT11———————2.3
Logan LoyaWR11————2.631.640.1
Moliki MatavaoTE11————3.7462—
Kwazi GilmerWR10——0.8—3.134.520.2
Titus Mokiao-AtimalalaWR9——0.2—3.132.71—
Ale KahoLB8———————3.3
Devin AupiuDL8———————1.9
Jack PedersenTE8————1.515.810.1
Jalen BergerRB8——22.3—1.37.420.1
Jalen WoodsLB8———————2.8
Siale TaupakiDT8———————2.9
Bryce PierreTE7————1.613.4——
J. Michael SturdivantWR7——0.7—3.1452—
Croix StewartDB6———————1.8
Anthony Frias IIRB5——9.4—0.43.6—0.4
Jacob BusicDL5———————2
Joseph VaughnLB5———————1.6
Sitiveni Havili KaufusiDT5———————2
Carter ShawWR4——2.3—0.511.3—0.3
Jadyn MarshallCB4———————0.8
Luke SchuermannDL4———————2
Rico Flores Jr.WR4————346.81—
Cherif SeyeDL3———————1.3
A.J. FuimaonoDL2———————1
Evan ThomasDB2———————1.5
Keanu WilliamsDT2———————0.5
Russell WeirWR2———————1
Travis DrososLS2———————1
Wyatt MosierLB2———————1
Anthony AdkinsRB1———————1
Blake GlessnerPK1————————
Chase BarryP1————————
D.J. JusticeDB1———————1
Drew TuazamaDL1———————1
JonJon VaughnsLB1———————4
Kanye ClarkDB1———————1
Leo KempFB1————————
Ty LeeDB1———————2

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.