Teams

BAY TREES PK 18MX9.0A

2026 MIXED 18&Over · 18&Over MX9.0

23 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 →
Schedule6 played
2026-03-04vs FREMONT TC 18MX9.0AWon 10
W#3 DoublesBeth Workeneh / Benjamin Green vs Catherine Puzon / Scott Monismith6-0, 6-2
2026-02-28vs FREMONT TC 18MX9.0ASplit 11
W#1 DoublesKyra Yee / Ryan Sablan vs Stephanie Wei / Imran Allana6-4, 6-7, 1-0
L#3 DoublesRobin Zhou / Nick Nguyen vs Patricia Birks / Scott Monismith3-6, 6-4, 0-1
2026-02-08Won 10
W#2 DoublesBeth Workeneh / Benjamin Green vs Catherine Puzon / Joshua Kaye6-3, 6-2
2026-02-07Split 11
L#1 DoublesKyra Yee / Joshua Duong vs Connor Ard / Sarah Stewart6-4, 3-6, 0-1
W#3 DoublesNick Nguyen / Robin Zhou vs Brian R Wills / Marina Wills6-2, 6-1
2026-02-01vs PLEASANTON 18MX9.0BWon 20
W#2 DoublesBeth Workeneh / Benjamin Green vs Julianne Gee / Sanjay Backliwal6-1, 6-2
W#3 DoublesRobin Zhou / Gabriel Chan vs Shin Koo / Vijay Sundaresan6-0, 6-2
2026-01-10vs FREMONT TC 18MX9.0AWon 20
W#2 DoublesKyra Yee / Joshua Duong vs Stephanie Wei / Edwin Pham7-6, 6-3
W#3 DoublesRobin Zhou / Parshudar Poonamallee Kothandaraman vs Serena Le / Tajoe Lun6-1, 6-2
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 standings27 teams · 18&Over MX9.0
TeamWLInd. WInd. LSets lostGames lost
1GOLDMAN TC 18MX9.0A10027311185
2RINCONADA PK 18MX9.0A9123716217
3SAN PABLO PK 18MX9.0A9124619193
4SUNNYVALE MTC 18MX9.0B9122821214
5SUNNYVALE MTC 18MX9.0C8224618225
6PLEASANTON 18MX9.0A82201027266
7SEASCAPE SC 18MX9.0A8221928251
8JOHNSON RANCH 18MX9.0A73181226258
9ALMADEN SR 18MX9.0A73181231293
10ST MARY 18MX9.0A73191131265
11SHELDON PK 18MX9.0A64201025237
12BAY TREES PK 18MX9.0A64181227232
13RIO DEL ORO 18MX9.0A64131740315
14FREMONT TC 18MX9.0A46131738296
15LOS GATOS SR 18MX9.0A46131741304
16BAY CLUB SANTA CLARA 18MX9.0A46121841293
17SUNNYVALE TC/SUNNYVALE MTC 18MX9.0A46111942278
18MENLO ATHERTON HS 18MX9.0A37131741321
19CUESTA TC 18MX9.0A3792143307
20WALNUT CREEK RC/Walnut Creek TC 18MX9.0A37111944311
21OLYMPIC 18MX9.0A2561531202
22PLEASANTON 18MX9.0B2892142310
23BAY CLUB COURTSIDE 18MX9.0A1982245304
24GOLD RIVER RC 18MX9.0A1992147321
25SAN PABLO PK 18MX9.0B1962450330
26MARIN TC 18MX9.0A0731837228
27PINEWOOD PK 18MX9.0A01062451328

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 4.26 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.

4.95
Chiara Schwab
usually #2 Doubles 50%, also #1 Doubles 33% · published 5
4.74
Ryan Sablan
usually #1 Doubles 50%, also #3 Doubles 33% · published
4.71
Robin Zhou
usually #3 Doubles 100% · published
4.52
Joshua Duong
usually #1 Doubles 44%, also #2 Doubles 33% · published
4.50
Beth Workeneh
usually #2 Doubles 67%, also #3 Doubles 33% · published 4.5
4.47
Samantha Nady
usually #2 Doubles 100% · published
4.44
Kyra Yee
usually #1 Doubles 67%, also #2 Doubles 33% · published
4.30
Benjamin Green
usually #3 Doubles 57%, also #2 Doubles 43% · published 4.5
4.29
Jeff Wong
usually #1 Doubles 50%, also #2 Doubles 33% · published
4.24
Clarissa Binkley
usually #3 Doubles 50%, also #1 Doubles 50% · published 4.5
4.23
Alex Kaiser
usually #2 Doubles 60%, also #1 Doubles 40% · published 4.5
4.23
Kristin Ginn
usually #2 Doubles 44%, also #1 Doubles 33% · published
4.15
Elani Phan
usually #3 Doubles 44%, also #2 Doubles 33% · published 5
4.15
Nathan Gong
usually #2 Doubles 55%, also #1 Doubles 36% · published
4.06
Martha Matrisian
usually #2 Doubles 50%, also #3 Doubles 50% · published
4.05
Tiffany Liew
usually #2 Doubles 75%, also #1 Doubles 25% · published
3.94
Parshudar Poonamallee Kothandaraman
usually #2 Doubles 39%, also #1 Doubles 31% · published
3.94
Ricky Duong
usually #2 Doubles 60%, also #3 Doubles 40% · published
3.90
Janell Mollenhauer
usually #1 Doubles 67%, also #2 Doubles 33% · published
3.89
Gabriel Chan
usually #2 Doubles 35%, also #3 Doubles 35% · published 4
3.74
Henny Huang
usually #3 Doubles 43%, also #2 Doubles 29% · published 4
Kimiko Kearney
usually #1 Doubles 63%, also #2 Doubles 25% · published
Yoshifumi Manabe
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.

Nathan Gong + Tiffany Liew1643% games−2.0% vs expected
Kimiko Kearney + Jeff Wong213 matchesnot enough data
Benjamin Green + Beth Workeneh303 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 · 6 lines in 2026
<1%66%34%
4.95
Ryan Sablan
21W–7L career · 6 lines in 2026
4%94%2%
4.74
Robin Zhou
10W–4L career · 4 lines in 2026
6%93%1%
4.71
Joshua Duong
13W–11L career · 9 lines in 2026
44%56%<1%
4.52
4.5
Beth Workeneh
7W–1L career · 3 lines in 2026
<1%48%52%
4.50
Samantha Nady
0W–6L career · 4 lines in 2026
60%40%<1%
4.47
Kyra Yee
8W–1L career · 3 lines in 2026
<1%69%31%
4.44
4.5
Benjamin Green
18W–1L career · 7 lines in 2026
1%93%6%
4.30
Jeff Wong
18W–2L career · 6 lines in 2026
1%93%5%
4.29
4.5
Clarissa Binkley
14W–11L career · 8 lines in 2026
3%95%2%
4.24
4.5
Alex Kaiser
13W–4L career · 5 lines in 2026
4%94%2%
4.23
Kristin Ginn
5W–10L career · 9 lines in 2026
4%94%2%
4.23
5
Elani Phan
13W–20L career · 9 lines in 2026
>99%<1%<1%
4.15
Nathan Gong
11W–12L career · 11 lines in 2026
13%87%<1%
4.15
Martha Matrisian
19W–13L career · 2 lines in 2026
33%67%<1%
4.06
Tiffany Liew
14W–12L career · 12 lines in 2026
34%66%<1%
4.05
Parshudar Poonamallee Kothandaraman
29W–9L career · 13 lines in 2026
<1%67%33%
3.94
Ricky Duong
11W–4L career · 5 lines in 2026
67%33%<1%
3.94
Janell Mollenhauer
22W–20L career · 3 lines in 2026
<1%79%21%
3.90
4
Gabriel Chan
42W–10L career · 23 lines in 2026
<1%79%21%
3.89
4
Henny Huang
18W–9L career · 7 lines in 2026
3%95%2%
3.74
Kimiko Kearney
7W–1L career · 8 lines in 2026
not enough data
Yoshifumi Manabe
0W–1L career · no 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.