Teams

BAY CLUB SF TENNIS 40MX9.0A

2025 MIXED 40&Over · 40&Over MX9.0

22 players · average NTRP 4.50 / 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 MX9.0 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 4.18 estimated across 21 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.

4.47
Michaela Zuckova
published
4.41
Justin Lu
published
4.34
Aneil Kamboj
published 4.5
4.34
Jedd Segrist
published
4.29
Soumi Gupta
published
4.26
Michael Franchi
published
4.26
Irene Otten
published
4.23
Taylor T Leese
published
4.21
Caroline Iwanchuk
published 4.5
4.20
Pratima Rao
published
4.19
Kristine Avila
published
4.19
Miki Lenox
published
4.16
Ranjit Deshpande
usually #1 Doubles 100% · published
4.16
Rob Lamour
published
4.15
Catherine Vowles
published 4.5
4.14
Liza Geary
published
4.08
Lawrence Coburn
published
4.05
Tina Baykaner
published
4.02
Benjamin Jasik
published 4.5
3.93
Yukari Seki
published
3.74
Tamara York
published
Richard Fulton
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
Michaela Zuckova + Lawrence Coburn123 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.

Michaela Zuckova
8W–2L career · no lines in 2025
no projection at this level
4.47
Justin Lu
24W–10L career · no lines in 2025
<1%73%27%
4.41
4.5
Aneil Kamboj
11W–6L career · no lines in 2025
1%87%13%
4.34
Jedd Segrist
4W–3L career · no lines in 2025
1%87%13%
4.34
Soumi Gupta
9W–5L career · no lines in 2025
2%91%7%
4.29
Michael Franchi
7W–6L career · no lines in 2025
3%92%5%
4.26
Irene Otten
11W–3L career · no lines in 2025
3%92%4%
4.26
Taylor T Leese
10W–5L career · no lines in 2025
5%92%3%
4.23
4.5
Caroline Iwanchuk
16W–7L career · no lines in 2025
6%92%2%
4.21
Pratima Rao
3W–5L career · no lines in 2025
no projection at this level
4.20
Kristine Avila
10W–6L career · no lines in 2025
9%90%1%
4.19
Miki Lenox
7W–4L career · no lines in 2025
9%90%1%
4.19
Ranjit Deshpande
10W–7L career · 1 line in 2025
13%86%1%
4.16
Rob Lamour
12W–5L career · no lines in 2025
13%86%1%
4.16
4.5
Catherine Vowles
6W–6L career · no lines in 2025
15%85%1%
4.15
Liza Geary
7W–13L career · no lines in 2025
16%84%1%
4.14
Lawrence Coburn
35W–18L career · no lines in 2025
<1%27%73%
4.08
Tina Baykaner
24W–6L career · no lines in 2025
37%63%<1%
4.05
4.5
Benjamin Jasik
4W–8L career · no lines in 2025
44%56%<1%
4.02
Yukari Seki
10W–2L career · no lines in 2025
68%32%<1%
3.93
Tamara York
12W–4L career · no lines in 2025
4%93%3%
3.74
Richard Fulton
1W–1L 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.