Teams

Net Gains

2023 One Doubles · 4.0 Women

3 players · average NTRP 4 · USTA/PACIFIC NW / NORTHERN OREGON

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Scouting

Roster averages 3.66 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.

3.85
Whitney Palfreyman
usually #1 Doubles 100% · published 4
Susie Jansky
usually #1 Doubles 100% · published 4
3.48
Jeanette Thomas
usually #1 Doubles 100% · published 4
Results6 ties
2023-08-03Lost 01
L#1 DoublesJeanette Thomas / Kelly Miller vs Claire Bell / Darci Keljo7-6, 7-5
2023-08-01Lost 01
L#1 DoublesWhitney Palfreyman / Jeanette Thomas vs Sibyl Jarrett / Judith Kobin6-7, 6-4, 1-0
2023-07-26Lost 01
L#1 DoublesWhitney Palfreyman / Jeanette Thomas vs Angie Lee / Dongju Won6-3, 6-4
2023-07-24Lost 01
L#1 DoublesWhitney Palfreyman / Jeanette Thomas vs Jessica Khalili / Molly Murphy6-0, 6-4
2023-07-10Lost 01
L#1 DoublesKelly Miller / Whitney Palfreyman vs Courtney Pierce / Claire Bell6-0, 6-4
2023-06-28Lost 01
L#1 DoublesJeanette Thomas / Susie Jansky vs Angie Lee / Dongju Won6-1, 2-0
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
Whitney Palfreyman
25W–37L career
0%98%2%
3.85
4
Susie Jansky
53W–45L career
not enough data
4
Jeanette Thomas
89W–74L career
40%60%0%
3.48

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.