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2023 Adult 18 & Over · 3.5 Men
2 players · average NTRP 3.5 · USTA/PACIFIC NW / NORTHWEST WASHINGTON
Scouting
Roster averages 3.15 estimated across 2 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.
3.18
Gregory Snowusually #3 Doubles 60%, also #1 Doubles 20% · published 3.5
3.12
Rajesh Gattiusually #1 Doubles 60%, also #2 Singles 20% · published 3.5
Results7 ties
2023-06-03Lost 0–1
L#1 DoublesRaghunandan Allepally / Rajesh Gatti vs Constantin Dulu / Mihail Frintu6-1, 6-1
2023-05-21Lost 0–1
L#1 DoublesRaghunandan Allepally / Rajesh Gatti vs Christopher Gipson / Dylan Miyasaki6-1, 6-3
2023-05-06Won 1–0
W#2 DoublesGregory Snow / Robert Blasko vs Huai-Ping Lee / Kenneth Troop7-6, 6-3
2023-05-05Lost 0–1
L#1 SinglesRajesh Gatti vs Bradford Chen6-3, 6-2
2023-04-29Won 1–0
W#3 DoublesGregory Snow / Jeff Altchech vs Mike Bursiek / Charlie Farra6-3, 6-1
2023-04-14Lost 0–1
L#2 SinglesRajesh Gatti vs Hyeoncheol Jung7-6, 6-7, 1-0
2023-04-07Split 1–1
L#1 DoublesRajesh Gatti / Robert Blasko vs Daniel Nordale / Ali Mastan6-3, 6-3
W#3 DoublesJoe Steilen / Gregory Snow vs Matt Wood / Richard Aylen6-4, 6-4
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.