Teams

BAY CLUB PL CW7.5A

2024 COMBO · Women 7.5

17 players · average NTRP 3.60 / NO. CALIFORNIA

No matches recorded for this roster in this league — it may be a placeholder registration, or the season may not have started.

View scouting list →
Schedule3 played
2024-10-26vs Walnut Creek TC CW7.5CWon 10
W#2 DoublesZhen Zhang / Pia Moore vs Shannon Lynch / Michelle Cooke6-1, 7-6
2024-10-13vs PLEASANTON CW7.5ALost 01
L#2 DoublesAdrienne Cummings / Pia Moore vs Yana Bazulina / Theresa Goodwin1-6, 4-6
2024-09-22vs THE CLUB @LIVERMORE CW7.5AWon 10
W#2 DoublesAdrienne Cummings / Pia Moore vs Allie Rodriguez / Lisa Saporito5-7, 6-4, 1-0
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 Women 7.5 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 3.48 estimated across 17 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.

3.94
Leslie Matsumura
published
3.81
Mary Reese
published
3.72
Zhen Zhang
published
3.71
Vivian Reiser
published
3.69
Sharon Gottlib
published
3.61
3.55
Shirley Cu
published
3.51
Snjezana Maric
published
3.49
Alison Erhart
published 3.5
3.45
Fang Wong
published 3.5
3.44
Tiffany Tran-Carper
published
3.39
Pia Moore
usually #2 Doubles 100% · published
3.33
Daisy Maron
published 3.5
3.33
Hui Xie
published 3.5
3.25
Jazy Zhang
published
3.08
Mehak Chopra
published
2.88
Jessica Zhang
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.

Sharon Gottlib + Mary Reese7553% games+0.9% vs expected
Daisy Maron + Mary Reese213 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.

Leslie Matsumura
15W–4L career · no lines in 2024
<1%68%32%
3.94
Mary Reese
15W–12L career · no lines in 2024
1%92%7%
3.81
Zhen Zhang
15W–28L career · no lines in 2024
5%94%1%
3.72
Vivian Reiser
5W–9L career · no lines in 2024
5%94%1%
3.71
Sharon Gottlib
11W–16L career · no lines in 2024
7%92%1%
3.69
4
Adrienne Cummings
6W–3L career · no lines in 2024
20%80%<1%
3.61
Shirley Cu
7W–9L career · no lines in 2024
35%65%<1%
3.55
Snjezana Maric
18W–29L career · no lines in 2024
47%53%<1%
3.51
3.5
Alison Erhart
35W–12L career · no lines in 2024
<1%53%47%
3.49
3.5
Fang Wong
36W–29L career · no lines in 2024
<1%65%35%
3.45
Tiffany Tran-Carper
11W–9L career · no lines in 2024
<1%68%32%
3.44
Pia Moore
67W–40L career · 5 lines in 2024
<1%80%19%
3.39
3.5
Daisy Maron
6W–12L career · no lines in 2024
1%90%9%
3.33
3.5
Hui Xie
22W–13L career · no lines in 2024
1%90%9%
3.33
Jazy Zhang
6W–5L career · no lines in 2024
2%95%3%
3.25
Mehak Chopra
1W–3L career · no lines in 2024
27%73%<1%
3.08
Jessica Zhang
0W–5L career · no lines in 2024
>99%<1%0%
2.88

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.