Ut Rio Grande Valley

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.

RGV

UT Rio Grande Valley Vaqueros

Players
48 of 48
Player
Eddie Lee MarburgerQB12227.63126.54————
Aidan JakobsohnQB726.1224.42————
Atzel Chavez Jr.QB1————————
Jaxon BaizeQB1————————
Brysen GardnerPK12————————
TJ DementRB12——26.850.86.2——
Tony DiazWR12——-1.2—5.673.411—
Xavyion NolandWR12——4.6—3.164.77—
Nathaniel Wallace-DillingP11——-0.4—————
Kyran LeeWR10————1.315.92—
Tavian CordWR10————1.730.24—
Ismael Smith FloresTE9————2.125.26—
Nathan DenneyRB9——73.442.828.11—
Hunter LukeWR8————0.41.6——
Djouvensky SchlenbakerRB6——18.73————
Fabian GarciaRB6——3530.71.2——
Carter HewittDB4————————
Elijah GrahamDB4————0.34.3——
Javien CuffWR4————1.520.51—
Logic HudgensDB4————————
Troop O'NealPK4————————
Brennan CarrollRB3——58.310.33.3——
JJ ContrerasPK3————————
Keilan SweenyWR3————————
Alijah ProsserDB2————————
Broderick TaylorRB2——592————
Cameron GlennWR2——16—332.51—
Gunner NaivarWR2————18.5——
Jamal PolleyRB2——14.5—————
Justin HermanWR2————1.518——
Spencer RichLB2————————
Tyler DayTE2——37.51————
Amari PouncyDE1————————
Andrew EarlsDB1————————
Austin TrimbleCB1————————
Christian SabsookWR1————1———
Ian BoxDE1————————
Jaden AdkinsDB1————17——
Jaden WincherDL1————————
Jaiden HaygoodLB1————————
Jaxson MaynardLB1————————
Jayden HouseDL1————————
Jayden PaluseoQB1——12—————
Mateo GrajedaTE1————————
Percy Jackson IIIDE1————————
TJ NealDB1————————
Will RogalinskiP1————————
Withchiel FilamarDE1————————

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.