Teams

Pershing-Vamos! Yacht Club

Mixed Doubles 40 & Over - SB · 8.0 combined Mixed Doubles

11 players · average NTRP 4.08 / SO.CALIFORNIA

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Schedule4 played
2025-06-29vs SBTC-SlammersWon 20
W#1 DoublesSally Jordan / Andy Gill vs Julie Rosenthal / James Brewer6-1, 2-6, 1-0
W#2 DoublesBeth Ford / Peter Osgood vs Renee Hennessee / Scott Hennessee6-2, 6-1
2025-06-21vs SBTC-SlammersWon 20
W#1 DoublesAyesha Rooroh / Rick Flores vs Nathalie Thurman / Brady Thurman6-4, 5-7, 1-0
W#2 DoublesPeter Osgood / Beth Ford vs Julie Rosenthal / James Brewer6-1, 6-1
2025-06-07vs Elings-Mixed to the MaxWon 10
W#2 DoublesKaren Suzuki / Herb Harms vs Alicia Linquiti / John Chilcott7-5, 6-7, 1-0
2025-05-25Won 10
W#3 DoublesHerb Harms / Karen Suzuki vs N/A6-0, 6-0
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.

Flight standings for 8.0 combined Mixed Doubles have not been collected yet. Where we have them we show every team in the flight ranked, with this team highlighted. The crawler is still filling in older seasons and flights.

ScoutingWhere each opponent usually plays

Signed-in extra: whether this captain plays strict strength order or mixes it up, from every doubles line they have put out. Create a free account to see it.

Roster averages 3.71 estimated across 7 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.

4.11
Karen Suzuki
usually #3 Doubles 50%, also #2 Doubles 50% · published 4.5
3.96
Beth Ford
usually #2 Doubles 100% · published 4
3.81
Gary Clark
published
3.79
Ayesha Rooroh
usually #1 Doubles 100% · published 4
3.68
Andy Gill
usually #1 Doubles 100% · published 4
3.48
Catherine Gill
published 4
3.16
Sally Jordan
usually #1 Doubles 100% · published
Herb Harms
published
Peter Osgood
usually #2 Doubles 100% · published
Rick Flores
usually #1 Doubles 100% · published
Established pairs

Doubles pairs from this roster with three or more matches together anywhere — ordered by performance against what the rating gap predicted, not by record.

Gary Clark + Ayesha Rooroh6164% gamesnot enough data
Catherine Gill + Andy Gill213 matchesnot enough data
Rick Flores + Ayesha Rooroh123 matchesnot enough data
Ayesha Rooroh + Benedictus Tumbel213 matchesnot enough data
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. Lines played in this team’s season are shown beside each name.

4.5
Karen Suzuki
86W–68L career · type A · 2 lines in 2025
21%79%<1%
4.11
4
Beth Ford
89W–28L career · 2 lines in 2025
<1%62%38%
3.96
Gary Clark
36W–15L career · no lines in 2025
1%90%9%
3.81
4
Ayesha Rooroh
11W–6L career · type M · 1 line in 2025
2%92%6%
3.79
4
Benedictus Tumbel
4W–2L career · type M · no lines in 2025
not enough data
4
Andy Gill
19W–18L career · 1 line in 2025
10%89%1%
3.68
4
Catherine Gill
29W–15L career · no lines in 2025
55%45%<1%
3.48
Sally Jordan
38W–21L career · 1 line in 2025
<1%13%87%
3.16
Herb Harms
2W–4L career · no lines in 2025
not enough data
Peter Osgood
2W–0L career · 2 lines in 2025
not enough data
Rick Flores
11W–10L career · 1 line in 2025
not enough data

Three percentages are where each player stands right now: the chance they are below their band, inside it, or above it, on the way they are playing this season. The number on the right is our estimated dynamic rating, which USTA never publishes. This is today rather than a forecast of December, because a forecast has to assume future matches and cannot know whether someone will even be offered them. 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.

Not affiliated with or endorsed by the USTA. Ratings labelled as published are USTA year-end figures; anything we describe as an estimate is ours, not USTA’s. Match data is from USTA TennisLink.