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CV-Palm Springs TC/Hoffman

2023 SoCal Doubles - CV · CV Women's 4.5

2 players · average NTRP 4.5 · USTA/SO. CALIFORNIA / SO.CALIFORNIA

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Scouting

Roster averages 4.12 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.

4.28
Anne Medzegian
usually #1 Doubles 60%, also #2 Doubles 40% · published 4.5
3.96
Brenda Williams
usually #2 Doubles 50%, also #1 Doubles 50% · published 4.5
Results5 ties
2023-12-10Won 1–0
W#1 DoublesAnne Medzegian / Brenda Williams vs Tammy Peltzer / Lis Andrade7-5, 6-3
2023-12-03Won 1–0
W#2 DoublesAnne Medzegian / Shannon Schuld-Gray vs Amanda Gomez-Airey / Candace Novella6-1, 6-1
2023-11-12Won 1–0
W#1 DoublesRoseann Harris / Anne Medzegian vs Candace Novella / Melissa Hiddleston6-2, 6-1
2023-11-05Won 1–0
W#2 DoublesAnne Medzegian / Brenda Williams vs Amanda Gomez-Airey / Candace Novella6-2, 6-3
2023-10-22Lost 0–1
L#1 DoublesAnne Medzegian / Shannon Schuld-Gray vs Kim Kouwabunpat / Tara Luna7-6, 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.

4.5
Anne Medzegian
151W–91L career
0%97%3%
4.28
4.5
Brenda Williams
66W–47L career
25%75%0%
3.96

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.