Teams

BAY CLUB REDWOOD SHORES 18MX8.0A

2025 MIXED 18&Over · 18&Over MX8.0

25 players · average NTRP 3.92 / 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 →

Flight standings for 18&Over MX8.0 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 3.73 estimated across 22 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.

Ali Jafri
published 4.5
4.16
Ranjit Deshpande
published
4.16
Michele Lindzy
published
3.96
Silvana Gold
published
3.96
Joe Liebeschuetz
published 4
3.92
Michelle Nicholson
published
3.91
Cathy Schechter
published 4
3.83
Jessica Mattioli
published
3.83
Bobby Carter
published 4
3.81
Ming Ta
published
3.80
Slaven Tezak
published
3.78
Atul Karmarkar
published 4
3.77
Chuo-Yun Yang
published 4
Hsiao-Yun Yang
published 4
3.74
Aref El Natour
published 4
3.73
Joyce Acbay
published
3.66
3.63
Paul Kwon
usually #1 Doubles 100% · published
3.57
Stephen Fung
published
3.40
Kurt Kwok
published
3.38
Sherri Glenn
published
3.34
Haewon Kwon
published 3.5
3.33
Christine Fronczak
published 3.5
3.27
Alma Hwang
published 3.5
Katerina Novitskaya
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.

Alma Hwang + Ming Ta3261% gamesnot 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
Ali Jafri
0W–1L career · no lines in 2025
not enough data
Ranjit Deshpande
10W–7L career · no lines in 2025
11%89%<1%
4.16
Michele Lindzy
34W–11L career · no lines in 2025
<1%12%88%
4.16
Silvana Gold
45W–23L career · no lines in 2025
<1%61%39%
3.96
4
Joe Liebeschuetz
96W–64L career · no lines in 2025
<1%62%38%
3.96
Michelle Nicholson
43W–22L career · no lines in 2025
<1%73%27%
3.92
4
Cathy Schechter
7W–7L career · no lines in 2025
<1%76%24%
3.91
Jessica Mattioli
13W–7L career · no lines in 2025
1%90%10%
3.83
4
Bobby Carter
37W–21L career · no lines in 2025
1%90%9%
3.83
Ming Ta
15W–3L career · no lines in 2025
1%92%8%
3.81
Slaven Tezak
15W–6L career · no lines in 2025
1%93%6%
3.80
4
Atul Karmarkar
7W–5L career · no lines in 2025
1%94%5%
3.78
4
Chuo-Yun Yang
30W–19L career · no lines in 2025
2%94%4%
3.77
4
Hsiao-Yun Yang
0W–2L career · no lines in 2025
not enough data
4
Aref El Natour
13W–20L career · no lines in 2025
3%94%2%
3.74
Joyce Acbay
2W–4L career · no lines in 2025
4%94%2%
3.73
4
Elizabeth Torrelio
5W–9L career · no lines in 2025
11%88%<1%
3.66
Paul Kwon
23W–15L career · 2 lines in 2025
15%85%<1%
3.63
Stephen Fung
2W–18L career · no lines in 2025
29%71%<1%
3.57
Kurt Kwok
1W–13L career · no lines in 2025
77%23%<1%
3.40
Sherri Glenn
17W–11L career · no lines in 2025
<1%82%17%
3.38
3.5
Haewon Kwon
44W–9L career · no lines in 2025
<1%89%10%
3.34
3.5
Christine Fronczak
50W–39L career · no lines in 2025
1%90%10%
3.33
3.5
Alma Hwang
3W–6L career · type M · no lines in 2025
2%94%4%
3.27
Katerina Novitskaya
8W–3L career · no lines 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.