Teams

BAY CLUB SANTA CLARA 40MX7.0A

2025 MIXED 40&Over · 40&Over MX7.0

19 players · average NTRP 3.75 / 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 3.43 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.

3.85
Alexander Tain
usually #2 Doubles 100% · published 4
3.84
Brian McCombs
published 4
3.80
Ming Ta
published
3.65
Ted Chen
usually #3 Doubles 100% · published
3.59
Jean-Marc Cabrol
usually #2 Doubles 100% · published
3.52
Joni Mahoney
published
3.50
Qing Feng
published
3.49
Jing Welch
usually #3 Doubles 100% · published
3.46
Peter Kuo
usually #3 Doubles 100% · published
3.46
Fang Wong
usually #1 Doubles 50%, also #3 Doubles 50% · published
3.40
Meixiang Ding
published
3.39
Pooja Tendulkar
usually #2 Doubles 100% · published
3.30
Luz Diaz Arbelaez
usually #2 Doubles 100% · published
3.25
Cathleen Ligman
published 3.5
Biju Nair
usually #3 Doubles 50%, also #1 Doubles 50% · published 3.5
3.13
Patrizia Fazeli
published
2.92
Zhen Liu
usually #1 Doubles 100% · published
2.75
Michelle Angel
published
Domenico Azzollini
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
Alexander Tain
20W–8L career · 1 line in 2025
1%86%14%
3.85
4
Brian McCombs
28W–5L career · type D · no lines in 2025
1%87%12%
3.84
Ming Ta
15W–3L career · no lines in 2025
2%91%8%
3.80
Ted Chen
7W–6L career · 1 line in 2025
14%85%1%
3.65
Jean-Marc Cabrol
33W–17L career · 1 line in 2025
<1%26%74%
3.59
Joni Mahoney
35W–10L career · no lines in 2025
<1%44%56%
3.52
Qing Feng
29W–15L career · no lines in 2025
<1%50%50%
3.50
Jing Welch
20W–4L career · 1 line in 2025
<1%52%48%
3.49
Peter Kuo
13W–12L career · 1 line in 2025
62%38%<1%
3.46
Fang Wong
37W–29L career · 2 lines in 2025
<1%63%37%
3.46
Meixiang Ding
17W–6L career · no lines in 2025
<1%77%23%
3.40
Pooja Tendulkar
7W–6L career · 1 line in 2025
<1%79%21%
3.39
Luz Diaz Arbelaez
6W–7L career · 1 line in 2025
1%90%8%
3.30
3.5
Cathleen Ligman
11W–13L career · no lines in 2025
4%93%4%
3.25
3.5
Biju Nair
0W–3L career · 2 lines in 2025
not enough data
Patrizia Fazeli
9W–14L career · no lines in 2025
17%82%<1%
3.13
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
Domenico Azzollini
1W–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.