Teams

BAY CLUB SF TENNIS 40MX8.0A

2022 MIXED 40&Over · 40&Over MX8.0

21 players · average NTRP 4.06 / 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 40&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 3.72 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.

4.45
Anthony Vuong
published 4.5
4.38
Soumi Gupta
published
4.16
Ranjit Deshpande
published
3.85
Anthea Pang
published 4
3.83
Bobby Carter
published 4
3.79
Lisa Paler
published 4
3.76
Lisa Laanisto
published
3.75
Christine Choye
published 4
3.72
Manav Khurana
published
3.62
Gavin Jacobson
published 4
3.62
Dorsey O'Neill
published 4
3.60
Christina Tse
published 4
3.54
Gregory Rojas
published 4
3.44
Michael Babineaux
published
3.40
Nikhil Desai
published
3.32
Satish Gudiboina
published
3.06
Lummi Bae
published
Larry Rubin
published
Sunye Vuong
published
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
Anthony Vuong
8W–5L career · no lines in 2022
<1%66%34%
4.45
Soumi Gupta
9W–5L career · no lines in 2022
<1%82%18%
4.38
Ranjit Deshpande
10W–7L career · no lines in 2022
11%89%<1%
4.16
4
Anthea Pang
13W–9L career · no lines in 2022
<1%87%13%
3.85
4
Bobby Carter
37W–21L career · no lines in 2022
1%90%9%
3.83
4
Lisa Paler
30W–30L career · no lines in 2022
1%93%5%
3.79
Lisa Laanisto
6W–9L career · no lines in 2022
2%95%3%
3.76
4
Christine Choye
21W–7L career · no lines in 2022
3%95%3%
3.75
Manav Khurana
3W–4L career · no lines in 2022
5%94%2%
3.72
4
Gavin Jacobson
6W–4L career · no lines in 2022
17%82%<1%
3.62
4
Dorsey O'Neill
4W–8L career · no lines in 2022
18%82%<1%
3.62
4
Christina Tse
1W–8L career · no lines in 2022
21%79%<1%
3.60
4
Gregory Rojas
8W–13L career · no lines in 2022
37%63%<1%
3.54
Michael Babineaux
1W–9L career · no lines in 2022
68%32%<1%
3.44
Nikhil Desai
2W–9L career · no lines in 2022
79%21%<1%
3.40
Satish Gudiboina
10W–9L career · no lines in 2022
1%91%8%
3.32
Lummi Bae
6W–13L career · no lines in 2022
34%66%<1%
3.06
Larry Rubin
0W–1L career · no lines in 2022
not enough data
Marinette Magallanes
0W–2L career · no lines in 2022
not enough data
Maryam Jabari Delucia
2W–0L career · no lines in 2022
not enough data
Sunye Vuong
2W–2L career · no lines in 2022
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.