Teams

PL-Smith

2021 Adult 55 & Over · 6.0 Men

1 players · average NTRP 3.5 · USTA/PACIFIC NW / NORTHWEST WASHINGTON

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Scouting

Roster averages 3.18 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.

3.18
Gregory Snow
usually #1 Doubles 50%, also #2 Doubles 30% · published 3.5
Results7 ties
2020-11-06Won 10
W#1 DoublesPeter Breining / Gregory Snow vs Mark Greenlaw / Jack Fredrickson6-1, 6-2
2020-11-01Won 10
W#2 DoublesGregory Snow / Timothy Smith vs Jim Sternberg / Lin Chen3-6, 6-4, 1-0
2020-10-23Won 10
W#1 DoublesPeter Breining / Gregory Snow vs Tony Carey / Matthew Connelly6-0, 3-6, 1-0
2020-10-11Lost 01
L#2 DoublesMatt Webster / Gregory Snow vs Bob Edwards / Evan Cohn6-2, 6-2
2020-09-27Lost 01
L#1 DoublesDavid Presba / Gregory Snow vs Lin Chen / Kenn Wildes6-1, 6-0
2020-09-19Won 10
W#1 DoublesPeter Breining / Gregory Snow vs Kevin McMahan / Brad Raynor2-6, 6-1, 1-0
2020-09-06Lost 01
L#1 DoublesTimothy Smith / Gregory Snow vs Jack Fredrickson / Gamage Viriththamulla6-1, 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.

3.5
Gregory Snow
100W–74L career
3%97%0%
3.18

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.