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2025 Adult 18 & Over · 3.5 Men
3 players · average NTRP 3.33 · USTA/PACIFIC NW / NORTHWEST WASHINGTON
Scouting
Roster averages 3.18 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.
3.28
Adam Sherrusually #3 Doubles 75%, also #2 Doubles 25% · published 3.5
3.06
Kenneth Troopusually #2 Doubles 67%, also #3 Doubles 33% · published 3.5
Results6 ties
2025-05-18Won 1–0
W#3 DoublesHung Nguyen / Adam Sherr vs Clement Ifrim / Davis Feng6-2, 7-6
2025-05-11Won 1–0
W#2 DoublesTed Schneider / Adam Sherr vs Justin Khanna / Bill Do6-4, 6-1
2025-04-25Won 1–0
W#3 DoublesEphraim Baclagan / Adam Sherr vs Ticson MacH / Matias Fernandez7-5, 6-1
2025-04-04Lost 0–1
L#2 DoublesEphraim Baclagan / Kenneth Troop vs Scott Lennard / Nick Siska6-2, 6-3
2025-03-30Split 1–1
L#2 DoublesHung Nguyen / Kenneth Troop vs Mihai Petriuc / Mihail Frintu6-2, 6-1
W#3 DoublesAdam Sherr / Ethan Chung vs Davis Feng / Septimiu Morea6-4, 6-3
2024-12-12Lost 0–1
L#3 DoublesNicole Swapp / Kenneth Troop vs Chris Higashi / JOANNE SHUTT6-4, 6-2
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.
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.