Teams

BAY CLUB SF TENNIS 18MX9.0A

2024 MIXED 18&Over · 18&Over MX9.0

26 players · average NTRP 4.40 / 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 MX9.0 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 4.14 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.

4.77
Debbie Gersten
published 5
4.44
Anthony Vuong
published 4.5
4.41
Justin Lu
published
4.39
Nithila Asokaraj
published
4.29
Soumi Gupta
published
4.26
Michael Franchi
published
4.26
Irene Otten
published
4.26
Paul Sampognaro
published
4.24
Nikil Pancha
published
4.23
Taylor T Leese
published
4.20
Pratima Rao
published
4.16
Ranjit Deshpande
published
4.16
Rob Lamour
published
4.15
Catherine Vowles
published 4.5
4.15
Michele Lindzy
published
4.14
Liza Geary
published
4.12
Jenifer Hartwell
published
3.90
Vidushi Bhargava
published
Arun Desai
published 4
3.73
Helen Zhang
published
3.72
Gregory Rojas
published
3.65
Brian Roberge
published 4
3.42
Nikhil Desai
published
Jonathan Ng
published
Katerina Novitskaya
published
Lysbet Verlenden
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.

5
Debbie Gersten
4W–1L career · no lines in 2024
no projection at this level
4.77
4.5
Anthony Vuong
8W–5L career · no lines in 2024
<1%66%34%
4.44
Justin Lu
24W–10L career · no lines in 2024
<1%73%27%
4.41
Nithila Asokaraj
0W–3L career · no lines in 2024
no projection at this level
4.39
Soumi Gupta
9W–5L career · no lines in 2024
2%91%7%
4.29
Michael Franchi
7W–6L career · no lines in 2024
3%92%5%
4.26
Irene Otten
11W–3L career · no lines in 2024
3%92%4%
4.26
Paul Sampognaro
5W–2L career · no lines in 2024
3%93%4%
4.26
Nikil Pancha
3W–3L career · no lines in 2024
5%92%3%
4.24
Taylor T Leese
10W–5L career · no lines in 2024
5%92%3%
4.23
Pratima Rao
3W–5L career · no lines in 2024
no projection at this level
4.20
Ranjit Deshpande
10W–7L career · no lines in 2024
13%86%1%
4.16
Rob Lamour
12W–5L career · no lines in 2024
13%86%1%
4.16
4.5
Catherine Vowles
6W–6L career · no lines in 2024
15%85%1%
4.15
Michele Lindzy
34W–11L career · no lines in 2024
<1%15%85%
4.15
Liza Geary
7W–13L career · no lines in 2024
16%84%1%
4.14
Jenifer Hartwell
5W–4L career · no lines in 2024
20%80%<1%
4.12
Vidushi Bhargava
14W–14L career · no lines in 2024
77%23%<1%
3.90
4
Arun Desai
1W–0L career · no lines in 2024
not enough data
Helen Zhang
2W–7L career · no lines in 2024
97%3%<1%
3.73
Gregory Rojas
8W–13L career · no lines in 2024
6%92%2%
3.72
4
Brian Roberge
7W–12L career · no lines in 2024
14%85%1%
3.65
Nikhil Desai
3W–9L career · no lines in 2024
72%28%<1%
3.42
Jonathan Ng
1W–1L career · no lines in 2024
not enough data
Katerina Novitskaya
8W–3L career · no lines in 2024
not enough data
Lysbet Verlenden
1W–1L 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.