Teams

BAY CLUB SF TENNIS 18MX8.0C

2022 MIXED 18&Over · 18&Over MX8.0

17 players · average NTRP 3.93 / 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 3.66 estimated across 14 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.

4.03
Paul Sampognaro
published
3.88
Sandeep Bangera
published
3.85
Anthea Pang
published 4
3.80
Lisa Park
published 4
3.79
Lisa Paler
published 4
3.78
David Morin
published 4
3.76
Lisa Laanisto
published
3.72
Manav Khurana
published
3.63
Adele Anfinson
published 4
3.54
Gregory Rojas
published 4
3.52
Francisco Tossi
published 3.5
3.44
Michael Babineaux
published
3.40
Nikhil Desai
published
3.05
Jean-Marc Sallenave
published
Katerina Novitskaya
published
Larry Rubin
published
Teresa Chow
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.

Paul Sampognaro
4W–2L career · no lines in 2022
42%58%<1%
4.03
Sandeep Bangera
19W–8L career · no lines in 2022
<1%83%17%
3.88
4
Anthea Pang
13W–9L career · no lines in 2022
<1%87%13%
3.85
4
Lisa Park
27W–29L career · no lines in 2022
1%93%6%
3.80
4
Lisa Paler
30W–30L career · no lines in 2022
1%93%5%
3.79
4
David Morin
6W–14L career · no lines in 2022
1%94%5%
3.78
Lisa Laanisto
6W–9L career · no lines in 2022
2%95%3%
3.76
Manav Khurana
3W–4L career · no lines in 2022
5%94%2%
3.72
4
Adele Anfinson
4W–4L career · no lines in 2022
17%83%<1%
3.63
4
Gregory Rojas
8W–13L career · no lines in 2022
37%63%<1%
3.54
3.5
Francisco Tossi
7W–2L career · no lines in 2022
<1%45%55%
3.52
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
Jean-Marc Sallenave
4W–12L career · no lines in 2022
35%65%<1%
3.05
Katerina Novitskaya
8W–3L career · no lines in 2022
not enough data
Larry Rubin
0W–1L career · no lines in 2022
not enough data
Teresa Chow
1W–0L 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.