Teams

BAY CLUB SF TENNIS 40MX7.0B

2023 MIXED 40&Over · 40&Over MX7.0

19 players · average NTRP 3.69 / 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 MX7.0 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 3.41 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.

4.30
Geoffrey Gerding
published 4.5
3.98
Lawrence Coburn
published
3.74
Aref El Natour
published 4
3.60
Christina Tse
published 4
3.58
Olivier Jorda
published
3.40
Brian Maloney
published 3.5
3.39
3.39
Ashi Labouisse
published 3.5
3.37
Lyman Chao
published
3.32
Satish Gudiboina
published
3.29
Eric Debbane
published 3.5
3.19
Tyrone Miller
published
3.15
Lilian Tom
published
3.11
Monica Reid
published
3.10
Timothy Tuttle
published
3.06
Lummi Bae
published
3.03
Goldie Cheng
published 3
Yong Suk Kwon
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
Geoffrey Gerding
13W–11L career · no lines in 2023
1%92%7%
4.30
Lawrence Coburn
34W–18L career · no lines in 2023
<1%55%45%
3.98
4
Aref El Natour
13W–20L career · no lines in 2023
3%94%2%
3.74
4
Christina Tse
1W–8L career · no lines in 2023
21%79%<1%
3.60
Olivier Jorda
1W–7L career · no lines in 2023
28%72%<1%
3.58
3.5
Brian Maloney
5W–7L career · no lines in 2023
<1%77%23%
3.40
3.5
Alexandra Wlassowsky
16W–21L career · no lines in 2023
<1%80%20%
3.39
3.5
Ashi Labouisse
18W–6L career · no lines in 2023
<1%81%19%
3.39
Lyman Chao
4W–13L career · no lines in 2023
84%16%<1%
3.37
Satish Gudiboina
10W–9L career · no lines in 2023
1%91%8%
3.32
3.5
Eric Debbane
7W–22L career · no lines in 2023
1%93%6%
3.29
Tyrone Miller
6W–11L career · no lines in 2023
7%92%1%
3.19
Lilian Tom
16W–10L career · no lines in 2023
<1%13%87%
3.15
Monica Reid
3W–18L career · no lines in 2023
19%81%<1%
3.11
Timothy Tuttle
7W–12L career · no lines in 2023
23%77%<1%
3.10
Lummi Bae
6W–13L career · no lines in 2023
34%66%<1%
3.06
3
Goldie Cheng
7W–7L career · no lines in 2023
<1%42%58%
3.03
Maryam Jabari Delucia
2W–0L career · no lines in 2023
not enough data
Yong Suk Kwon
0W–2L career · no lines in 2023
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.