Teams

BAY CLUB PL 40MX9.0A

2026 MIXED 40&Over · 40&Over MX9.0

16 players · average NTRP 4.25 / 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 →
Schedule9 played
2026-08-07Lost 01
L#1 DoublesLisa Oktavia / Neeraj Sharma vs Craig Lazarchik / Alexandra Gunnell6-2, 4-6, 0-1
2026-08-02vs PLEASANTON 40MX9.0ALost 01
L#1 DoublesPaul Liu / Irina Weintraub vs Bryce Kristal / Dan Gullion1-6, 4-6
2026-07-24Won 10
W#1 DoublesNishant Jain / Bowyee Gong vs Martin Nunez / Alexandra Gunnell6-2, 5-7, 1-0
2026-07-19Won 10
W#1 DoublesPaul Liu / Irina Weintraub vs Steven Lehmer / Sarah Stewart6-4, 7-5
2026-07-10Won 20
W#1 DoublesNishant Jain / Zina Kassab vs Peter Sullivan / Alexandra Gunnell7-6, 6-2
W#3 DoublesPaul Liu / Sunny Hong vs Martin Nunez / Chandra Thomas1-6, 7-6, 1-0
2026-06-30Split 11
W#1 DoublesNishant Jain / Maggie Yuen vs Craig Lazarchik / Fenny Widjaja7-5, 6-4
L#2 DoublesSunny Hong / David Yuen vs Aaron Douville / Sarah Stewart4-6, 0-6
2026-06-26vs PLEASANTON 40MX9.0ALost 01
L#3 DoublesNeeraj Sharma / Irina Weintraub vs Bryce Kristal / Dan Gullion4-6, 2-6
2026-06-21Won 10
W#2 DoublesNishant Jain / Zina Kassab vs Craig Lazarchik / Marina Wills6-4, 3-6, 1-0
2026-06-09Lost 01
L#2 DoublesMichael Liu / Irina Weintraub vs Peter Sullivan / Sarah Stewart7-6, 4-6, 0-1
A tie can be incomplete. Tell us if someone is missing.
i
Grouped by tie — one fixture, several lines. A line shows only when a player on it is someone we have indexed, so an early-season tie for a newly-added team can look short. This also means the line count here will not match the header, which counts individual player appearances.
Flight standings22 teams · 40&Over MX9.0
TeamWLInd. WInd. LSets lostGames lost
1CUESTA TC 40MX9.0A7219822225
2SUNNYVALE TC/SUNNYVALE MTC 40MX9.0A7218923223
3JOHNSON RANCH 40MX9.0A7218924246
4WASHOE TENNIS CLUB/WASHOE TC 40MX9.0A6318922212
5MARIN TC 40MX9.0A63161124205
6MEMORIAL-ALBANY 40MX9.0A63151226244
7BAY CLUB PL 40MX9.0A63161129246
8RAFAEL RC 40MX9.0A63151231247
9GOLD RIVER RC 40MX9.0B5315921196
10BAY CLUB SF TENNIS 40MX9.0A53141023210
11LOS GATOS SR 40MX9.0A54131431259
12ST MARY 40MX9.0A45141329245
13ALMADEN SR 40MX9.0A46151533267
14HARBOR PT 40MX9.0A46121841293
15WALNUT CREEK RC/Walnut Creek TC 40MX9.0A35101433264
16PLEASANTON 40MX9.0A36111634259
17CUESTA TC 40MX9.0B36101739284
18TAHOE DONNER 40MX9.0A3691840280
19BAY CLUB COURTSIDE 40MX9.0A37111939285
20ROHNERT PK TC/MAGNOLIA/M PK 40MX9.0A26111328212
21UNIVERSITY CLUB PA 40MX9.0A2681636260
22GOLD RIVER RC 40MX9.0A1862145291

Ordered by team wins, then losses, then sets lost — the order USTA uses to seed a flight. Individual wins are lines, not ties.

See the full flight, with every team’s record

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 4.03 estimated across 15 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.

4.31
Paul Liu
usually #1 Doubles 45%, also #2 Doubles 40% · published
4.28
Lisa Oktavia
usually #1 Doubles 40%, also #3 Doubles 30% · published
4.19
Irina Weintraub
usually #1 Doubles 50%, also #2 Doubles 25% · published
4.17
Nishant Jain
usually #1 Doubles 75%, also #2 Doubles 25% · published
4.15
Fion Cho
usually #3 Doubles 44%, also #2 Doubles 33% · published
4.15
Alicia van Fleteren
usually #3 Doubles 60%, also #1 Doubles 40% · published 4.5
4.13
Teddy Handoko
usually #1 Doubles 63%, also #2 Doubles 25% · published
4.01
Lionel Yang
usually #3 Doubles 50%, also #2 Doubles 25% · published
3.96
Neeraj Sharma
usually #3 Doubles 50%, also #1 Doubles 50% · published
3.95
Jaime Santos
usually #2 Doubles 42%, also #1 Doubles 33% · published
3.92
Ellen Low
usually #2 Doubles 60%, also #1 Doubles 40% · published
3.91
Sunny Hong
usually #3 Doubles 50%, also #2 Doubles 50% · published
3.86
Zina Kassab
usually #3 Doubles 43%, also #2 Doubles 29% · published
3.75
Maggie Yuen
usually #1 Doubles 63%, also #2 Doubles 38% · published
3.73
Bowyee Gong
usually #1 Doubles 46%, also #3 Doubles 27% · published 4
Eugene Chen
usually #1 Doubles 50%, also #2 Doubles 40% · 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.

Paul Liu
28W–18L career · 20 lines in 2026
1%90%9%
4.31
Lisa Oktavia
41W–21L career · 20 lines in 2026
2%92%6%
4.28
Irina Weintraub
5W–7L career · 4 lines in 2026
9%90%1%
4.19
Nishant Jain
12W–7L career · 4 lines in 2026
11%88%1%
4.17
Fion Cho
11W–13L career · 9 lines in 2026
14%86%1%
4.15
4.5
Alicia van Fleteren
15W–14L career · 5 lines in 2026
14%86%1%
4.15
Teddy Handoko
10W–6L career · 8 lines in 2026
17%83%<1%
4.13
Lionel Yang
7W–11L career · 4 lines in 2026
47%53%<1%
4.01
Neeraj Sharma
6W–16L career · 2 lines in 2026
62%38%<1%
3.96
Jaime Santos
23W–13L career · 12 lines in 2026
64%36%<1%
3.95
Ellen Low
5W–9L career · 5 lines in 2026
71%29%<1%
3.92
Sunny Hong
7W–13L career · 2 lines in 2026
74%26%<1%
3.91
Zina Kassab
17W–12L career · 7 lines in 2026
1%84%16%
3.86
Maggie Yuen
19W–11L career · 8 lines in 2026
4%93%4%
3.75
4
Bowyee Gong
41W–25L career · 11 lines in 2026
5%92%3%
3.73
Eugene Chen
11W–3L career · 10 lines in 2026
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.