Teams

BAY CLUB COURTSIDE 40MX7.0C

2025 MIXED 40&Over · 40&Over MX7.0

24 players · average NTRP 3.86 / 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 3.45 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.

3.98
Joe Liebeschuetz
published 4
3.96
3.87
3.85
Dai Truong
published 4
3.80
Ming Ta
published
3.75
Wade Conklin
usually #1 Doubles 100% · published
3.73
Anh-Vi Dao
published 4
3.71
John Nakamura
published
3.66
Tracy Goepel
published
3.65
Ted Chen
usually #3 Doubles 100% · published
3.58
Camille Freeman
published 3.5
3.53
Rodley Fabie
published
3.50
Qing Feng
published
3.46
Peter Kuo
usually #3 Doubles 100% · published
3.37
Sonia Whitfield
published
3.32
Katherine Sandell
published
3.28
Susan Onffroy
published
3.15
Rocky Butani
published
3.11
Inna Cantor
published
3.02
Hayley Charnaw
published
3.00
Corrine Fabie
published 3.5
2.98
Vera Parengkuan
published
2.92
Zhen Liu
usually #1 Doubles 100% · published
2.75
Michelle Angel
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.

Corrine Fabie + Rodley Fabie3255% gamesnot enough data
Michelle Angel + Brett Anthony Foreman213 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.

4
Joe Liebeschuetz
96W–64L career · no lines in 2025
<1%57%43%
3.98
4
An-Vincent Nguyen
15W–11L career · no lines in 2025
<1%61%39%
3.96
4
Brett Anthony Foreman
26W–14L career · no lines in 2025
<1%82%17%
3.87
4
Dai Truong
17W–9L career · no lines in 2025
1%85%14%
3.85
Ming Ta
15W–3L career · no lines in 2025
2%91%8%
3.80
Wade Conklin
20W–19L career · 1 line in 2025
<1%4%96%
3.75
4
Anh-Vi Dao
9W–14L career · no lines in 2025
5%92%3%
3.73
John Nakamura
30W–8L career · no lines in 2025
6%92%2%
3.71
Tracy Goepel
16W–11L career · no lines in 2025
13%87%1%
3.66
Ted Chen
7W–6L career · 1 line in 2025
14%85%1%
3.65
3.5
Camille Freeman
25W–12L career · no lines in 2025
<1%29%71%
3.58
Rodley Fabie
13W–4L career · no lines in 2025
<1%41%59%
3.53
Qing Feng
29W–15L career · no lines in 2025
<1%50%50%
3.50
Peter Kuo
13W–12L career · 1 line in 2025
62%38%<1%
3.46
Sonia Whitfield
19W–13L career · no lines in 2025
<1%83%17%
3.37
Katherine Sandell
16W–18L career · no lines in 2025
1%89%10%
3.32
Susan Onffroy
24W–27L career · no lines in 2025
2%92%6%
3.28
Rocky Butani
11W–18L career · no lines in 2025
14%85%1%
3.15
Inna Cantor
6W–11L career · no lines in 2025
22%78%<1%
3.11
Hayley Charnaw
23W–21L career · no lines in 2025
<1%45%55%
3.02
3.5
Corrine Fabie
10W–14L career · no lines in 2025
51%49%<1%
3.00
Vera Parengkuan
13W–15L career · no lines in 2025
57%43%<1%
2.98
Zhen Liu
27W–8L career · 1 line in 2025
<1%71%29%
2.92
Michelle Angel
18W–20L career · no lines in 2025
4%93%4%
2.75

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.