Teams

GLVR-Byrd

2026 Mixed 18 & Over · 6.0 Mixed

10 players · average NTRP 3.25 · USTA/PACIFIC NW / NORTHERN OREGON

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Scouting

Roster averages 3.06 estimated across 9 rated players. No lineup is published in advance, so the column below is where each player has actually been used — a captain's habits are the best available forecast. Sign in and claim your record to see who you have played.

3.60
Spencer Byrd
usually #1 Doubles 58%, also #2 Doubles 33% · published 3.5
3.42
Valerie Truong
usually #2 Doubles 67%, also #3 Doubles 17% · published 3.5
Monique Gill
published 3.5
3.16
Brandon Campos
usually #1 Doubles 50%, also #3 Doubles 40% · published 3.5
3.13
Madison Scully
usually #2 Doubles 43%, also #1 Doubles 29% · published 3.5
3.06
Shane Olofson
usually #3 Doubles 33%, also #2 Doubles 33% · published 3
3.06
Charles Leavitt
usually #1 Doubles 75%, also #2 Doubles 25% · published 3.5
2.74
Alvin Lym
usually #3 Doubles 60%, also #1 Doubles 20% · published 3
2.73
Eric Delehoy
usually #3 Doubles 50%, also #2 Doubles 50% · published 3
2.67
Ryan Moy
usually #2 Doubles 50%, also #3 Doubles 50% · published 2.5
Roster

Ordered by our estimated dynamic rating, which is why two players at the same published level are not tied — a published 4.0 says nothing about where inside the band someone sits.

3.5
Spencer Byrd
82W–43L career
0%53%48%
3.60
3.5
Valerie Truong
15W–12L career · type S
0%92%8%
3.42
3.5
Monique Gill
33W–23L career
not enough data
3.5
Brandon Campos
38W–46L career
4%96%0%
3.16
3.5
Madison Scully
27W–32L career
8%92%0%
3.13
3
Shane Olofson
17W–15L career
0%65%35%
3.06
3.5
Charles Leavitt
17W–15L career · type A
21%79%0%
3.06
3
Alvin Lym
34W–31L career
1%99%0%
2.74
3
Eric Delehoy
17W–11L career
2%97%0%
2.73
2.5
Ryan Moy
30W–33L career
0%4%97%
2.67

Three percentages are the year-end projection — chance of moving down, staying, moving up — and the number on the right is our estimated dynamic rating, which USTA never publishes. Percentages are blank where a player has too few matches this season, or at a level where the model does not yet beat a base-rate guess; the estimate is a weaker claim than a probability and survives where those do not.