Teams

Taylor/Hirsch

2025 One Doubles-Winter · 3.0 Men

1 players · average NTRP 3 · USTA/PACIFIC NW / SOUTHWEST WASHINGTON

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Scouting

Roster averages 2.79 estimated across 1 rated player. 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.

2.79
Steve Hirsch
usually #1 Doubles 100% · published 3
Results8 ties
2025-04-17Won 10
W#1 DoublesSteve Hirsch / Charles Taylor vs George Ramirez / RJ Widrow4-6, 6-4, 1-0
2025-04-15Lost 01
L#1 DoublesSteve Hirsch / Charles Taylor vs Michael Harn / Matt Purcell6-4, 6-2
2025-04-05Won 10
W#1 DoublesSteve Hirsch / Charles Taylor vs Devon Newsom / Michael Riggin6-2, 6-3
2025-03-30Won 10
W#1 DoublesSteve Hirsch / Charles Taylor vs Sergio Mir Arenas / Dallas Sloan6-3, 6-7, 1-0
2025-02-28Lost 01
L#1 DoublesMike Shaffer / Steve Hirsch vs Jung Shin / Michael Riggin7-5, 6-3
2025-02-21Lost 01
L#1 DoublesSteve Hirsch / Mike Shaffer vs James Maxfields / Michael Harn6-2, 2-6, 1-0
2025-02-02Won 10
W#1 DoublesSteve Hirsch / Charles Taylor vs Tres James / Jett Magnuson6-3, 6-2
2025-02-01Won 10
W#1 DoublesSteve Hirsch / Charles Taylor vs Kent Gavin / Dallas Sloan6-1, 7-5
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.

3
Steve Hirsch
73W–73L career
0%99%1%
2.79

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.