Teams

NWW-FC-Lao

2025 Mixed 40 & Over · 9.0

3 players · average NTRP 4.33 · USTA/PACIFIC NW / NORTHWEST WASHINGTON

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Scouting

Roster averages 4.05 estimated across 3 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.

4.26
Kirsi Varsa
usually #1 Doubles 50%, also #3 Doubles 25% · published 4.5
4.09
Martin Uylangco
published 4.5
3.79
Kerry Spalding
usually #3 Doubles 67%, also #2 Doubles 17% · published 4
Results5 ties
2025-08-10Won 10
W#1 DoublesGeorge Huang / Kirsi Varsa vs Teena Griggs / Kolt Kaneshiro6-3, 6-7, 1-0
2025-07-13Won 10
W#3 DoublesCharles Thompson / Kerry Spalding vs Richard Deitz / Kate Wang3-6, 6-3, 1-0
2025-06-28Won 10
W#2 DoublesKirsi Varsa / Martin Uylangco vs Baraka Brown / Kim Hood6-3, 6-2
2025-06-21Won 10
W#3 DoublesKirsi Varsa / Martin Uylangco vs Janine VanderWhitte / Aaron Coe6-3, 6-0
2025-06-14Lost 02
L#1 DoublesTim Le / Kirsi Varsa vs Krystal Garfield / Jesse Schouten6-2, 6-2
L#2 DoublesCharles Thompson / Kerry Spalding vs Todd Conley / Beth Berris - *3-6, 7-5, 1-0
A tie can be incomplete. Tell us if someone is missing.
i
Grouped by tie — one fixture, several lines. A line shows only when a player on it is someone we have indexed, so an early-season tie for a newly-added team can look short. This also means the line count here will not match the header, which counts individual player appearances.
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.

4.5
Kirsi Varsa
81W–74L career
0%97%2%
4.26
4.5
Martin Uylangco
85W–50L career
4%96%0%
4.09
4
Kerry Spalding
74W–42L career
0%99%1%
3.79

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.