Teams

BAY CLUB PL 18MX9.0A

2025 MIXED 18&Over · 18&Over MX9.0

20 players · average NTRP 4.67 / 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 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 4.10 estimated across 19 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.

4.83
Chiara Schwab
published 5
4.55
Robin Zhou
published
4.48
Craig Lazarchik
published 4.5
4.34
Mike Arun
published
4.31
Paul Liu
published
4.28
Lisa Oktavia
published
4.15
Fion Cho
published
4.15
Alicia van Fleteren
published 4.5
4.10
Glenn Teixeira
published
3.96
Steve Falk
published
3.95
Jaime Santos
usually #1 Doubles 100% · published
3.92
Ellen Low
usually #2 Doubles 100% · published
3.91
Mary Ow
published
3.91
Sunny Hong
published
3.87
Marty Gee
published
3.80
Joseph Huang
usually #2 Doubles 100% · published
3.80
Ming Ta
published
3.79
Parshudar Poonamallee Kothandaraman
usually #1 Doubles 50%, also #2 Doubles 50% · published
3.75
Maggie Yuen
usually #2 Doubles 100% · published
Kimiko Kearney
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.

Jaime Santos + Lisa Oktavia314 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.

5
Chiara Schwab
7W–1L career · no lines in 2025
no projection at this level
4.83
Robin Zhou
10W–4L career · no lines in 2025
<1%35%65%
4.55
4.5
Craig Lazarchik
10W–8L career · no lines in 2025
<1%55%45%
4.48
Mike Arun
3W–0L career · no lines in 2025
1%86%13%
4.34
Paul Liu
28W–18L career · no lines in 2025
1%90%9%
4.31
Lisa Oktavia
41W–21L career · no lines in 2025
2%92%6%
4.28
Fion Cho
11W–13L career · no lines in 2025
14%86%1%
4.15
4.5
Alicia van Fleteren
15W–14L career · no lines in 2025
14%86%1%
4.15
Glenn Teixeira
33W–16L career · no lines in 2025
23%77%<1%
4.10
Steve Falk
7W–6L career · no lines in 2025
60%40%<1%
3.96
Jaime Santos
23W–13L career · 1 line in 2025
64%36%<1%
3.95
Ellen Low
5W–9L career · 1 line in 2025
71%29%<1%
3.92
Mary Ow
5W–9L career · no lines in 2025
73%27%<1%
3.91
Sunny Hong
7W–13L career · no lines in 2025
74%26%<1%
3.91
Marty Gee
15W–10L career · no lines in 2025
<1%82%17%
3.87
Joseph Huang
30W–8L career · 1 line in 2025
1%90%8%
3.80
Ming Ta
15W–3L career · no lines in 2025
2%91%8%
3.80
Parshudar Poonamallee Kothandaraman
30W–9L career · 2 lines in 2025
<1%2%98%
3.79
Maggie Yuen
19W–11L career · 1 line in 2025
4%93%4%
3.75
Kimiko Kearney
7W–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.