Teams

BAY CLUB SF TENNIS 18MX8.0A

2025 MIXED 18&Over · 18&Over MX8.0

26 players · average NTRP 4.00 / 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 3.76 estimated across 24 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
Justin Lu
published
4.38
Soumi Gupta
published
4.16
Ranjit Deshpande
published
4.00
Diego Sabaris
published 4
4.00
Peter Stern
published
3.98
Lawrence Coburn
published
3.92
Amanda Singer
published 4
3.85
Anthea Pang
published 4
3.78
David Morin
published 4
3.78
Atul Karmarkar
published 4
3.76
Lisa Laanisto
published
3.75
Tamara York
published
3.75
Jess Sterrett
published
3.74
Ally Gwozdz
published 4
3.74
Aref El Natour
published 4
3.62
Gavin Jacobson
published 4
3.60
Christina Tse
published 4
3.58
Olivier Jorda
published
3.55
3.54
Gregory Rojas
published 4
3.50
Ria Mendoza
usually #2 Doubles 50%, also #3 Doubles 50% · published
3.40
Nikhil Desai
published
3.32
Satish Gudiboina
published
3.04
Lisa Shaw
published
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.

Tamara York + Lawrence Coburn314 matchesnot enough data
Peter Stern + Jess Sterrett314 matchesnot enough data
Katerina Novitskaya + Peter Stern303 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.

Justin Lu
24W–10L career · no lines in 2025
<1%67%33%
4.44
Soumi Gupta
9W–5L career · no lines in 2025
<1%82%18%
4.38
Ranjit Deshpande
10W–7L career · no lines in 2025
11%89%<1%
4.16
4
Diego Sabaris
29W–11L career · no lines in 2025
<1%49%51%
4.00
Peter Stern
9W–1L career · no lines in 2025
<1%49%51%
4.00
Lawrence Coburn
34W–18L career · no lines in 2025
<1%55%45%
3.98
4
Amanda Singer
8W–0L career · no lines in 2025
<1%74%26%
3.92
4
Anthea Pang
13W–9L career · no lines in 2025
<1%87%13%
3.85
4
David Morin
6W–14L career · no lines in 2025
1%94%5%
3.78
4
Atul Karmarkar
7W–5L career · no lines in 2025
1%94%5%
3.78
Lisa Laanisto
6W–9L career · no lines in 2025
2%95%3%
3.76
Tamara York
12W–4L career · no lines in 2025
3%95%3%
3.75
Jess Sterrett
17W–5L career · no lines in 2025
3%95%3%
3.75
4
Ally Gwozdz
20W–17L career · no lines in 2025
3%95%2%
3.74
4
Aref El Natour
13W–20L career · no lines in 2025
3%94%2%
3.74
4
Gavin Jacobson
6W–4L career · no lines in 2025
17%82%<1%
3.62
4
Christina Tse
1W–8L career · no lines in 2025
21%79%<1%
3.60
Olivier Jorda
1W–7L career · no lines in 2025
28%72%<1%
3.58
Maria Isabella Canlas
7W–11L career · no lines in 2025
34%66%<1%
3.55
4
Gregory Rojas
8W–13L career · no lines in 2025
37%63%<1%
3.54
Ria Mendoza
72W–75L career · 4 lines in 2025
50%50%<1%
3.50
Nikhil Desai
2W–9L career · no lines in 2025
79%21%<1%
3.40
Satish Gudiboina
10W–9L career · no lines in 2025
1%91%8%
3.32
Lisa Shaw
4W–3L career · no lines in 2025
>99%<1%<1%
3.04
Katerina Novitskaya
8W–3L career · no lines in 2025
not enough data
Maryam Jabari Delucia
2W–0L 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.