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CV-Palm Desert Tennis Club/Blankenmeister

2023 CV Mixed Doubles 55 & Over - CV · CV Mixed Doubles 7.0

2 players · average NTRP 3.25 · USTA/SO. CALIFORNIA / SO.CALIFORNIA

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Scouting

Roster averages 3.12 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.

3.17
Paul Blankenmeister
published 3.5
3.08
Thomas MacDonald
usually #2 Doubles 44%, also #3 Doubles 33% · published 3
Results5 ties
2023-03-04Won 1–0
W#2 DoublesThomas MacDonald / Diane Macdonald vs Richard Ramsey / Allison Alanis6-2, 6-3
2023-02-18Lost 0–1
L#2 DoublesDiane Macdonald / Thomas MacDonald vs Marti Jablon / Barry Cooper6-4, 6-2
2023-02-04Won 1–0
W#3 DoublesThomas MacDonald / Diane Macdonald vs Diane Musgrove / Richard Siegel6-3, 6-4
2023-01-28Lost 0–1
L#3 DoublesThomas MacDonald / Myriam Wunder vs Susan Sacks / Andrew Sacks6-4, 6-3
2023-01-07Won 1–0
W#3 DoublesThomas MacDonald / Diane Macdonald vs Steve Zalewski / Donna Simpson6-2, 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.

3.5
Paul Blankenmeister
33W–21L career · type S
7%92%0%
3.17
3
Thomas MacDonald
54W–33L career
0%59%41%
3.08

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.