Teams

BAY CLUB SF TENNIS 18MX8.0B

2024 MIXED 18&Over · 18&Over MX8.0

26 players · average NTRP 4.09 / 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 3.83 estimated across 21 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.

4.44
Anthony Vuong
published 4.5
4.29
Soumi Gupta
published
4.26
Paul Sampognaro
published
4.16
Ranjit Deshpande
published
4.14
Benjamin Yan
published 4.5
3.99
Allison Whitten
published 4.5
3.89
Gabriel Chan
published
3.89
Peilun Shan
published 4
3.87
Elizabeth Carey
published
3.87
Shuntaro Takeuchi
published
3.85
Anthea Pang
published 4
3.77
David Morin
published 4
Arun Desai
published 4
3.74
Lisa Laanisto
published
3.72
Gregory Rojas
published
3.62
Adele Anfinson
published 4
3.62
Christina Tse
published 4
3.62
Gavin Jacobson
published
3.61
Elizabeth Cheung
published
3.42
Nikhil Desai
published
3.40
Andy Ting
published 4
3.29
Satish Gudiboina
published
Alvaro Jimenez
published 3.5
Jonathan Ng
published
Katerina Novitskaya
published
Leonard Chang
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 2024
<1%66%34%
4.44
Soumi Gupta
9W–5L career · no lines in 2024
2%91%7%
4.29
Paul Sampognaro
5W–2L career · no lines in 2024
3%93%4%
4.26
Ranjit Deshpande
10W–7L career · no lines in 2024
13%86%1%
4.16
4.5
Benjamin Yan
6W–7L career · no lines in 2024
17%83%<1%
4.14
4.5
Allison Whitten
6W–1L career · no lines in 2024
52%48%<1%
3.99
Gabriel Chan
42W–10L career · no lines in 2024
<1%<1%>99%
3.89
4
Peilun Shan
42W–17L career · no lines in 2024
<1%79%21%
3.89
Elizabeth Carey
11W–2L career · no lines in 2024
<1%81%18%
3.87
Shuntaro Takeuchi
9W–9L career · no lines in 2024
<1%83%17%
3.87
4
Anthea Pang
13W–9L career · no lines in 2024
1%85%14%
3.85
4
David Morin
6W–14L career · no lines in 2024
2%92%5%
3.77
4
Arun Desai
1W–0L career · no lines in 2024
not enough data
Lisa Laanisto
6W–9L career · no lines in 2024
4%93%3%
3.74
Gregory Rojas
8W–13L career · no lines in 2024
6%92%2%
3.72
4
Adele Anfinson
4W–4L career · no lines in 2024
19%80%<1%
3.62
4
Christina Tse
1W–8L career · no lines in 2024
20%79%<1%
3.62
Gavin Jacobson
6W–4L career · no lines in 2024
21%79%<1%
3.62
Elizabeth Cheung
6W–2L career · no lines in 2024
22%78%<1%
3.61
Nikhil Desai
3W–9L career · no lines in 2024
72%28%<1%
3.42
4
Andy Ting
2W–16L career · no lines in 2024
77%23%<1%
3.40
Satish Gudiboina
10W–9L career · no lines in 2024
2%91%7%
3.29
3.5
Alvaro Jimenez
0W–2L career · no lines in 2024
not enough data
Jonathan Ng
1W–1L career · no lines in 2024
not enough data
Katerina Novitskaya
8W–3L career · no lines in 2024
not enough data
Leonard Chang
0W–2L career · no lines in 2024
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.