Teams

MENLO ATHERTON HS 18MX9.0A

2026 MIXED 18&Over · 18&Over MX9.0

21 players · average NTRP 4.38 / 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 →
Schedule8 played
2026-03-08Split 11
L#2 DoublesKyle Shun / May Chee vs Maiko Yano / David Lao1-6, 1-6
W#3 DoublesYvette Leung / Eric Chao vs Kent Byun / Yiwen Xie6-4, 3-6, 1-0
2026-02-28vs RINCONADA PK 18MX9.0ALost 01
L#3 DoublesDaniel Lloyd Pias / Srinidhi Chari vs Dong Chen / Chunguang He5-7, 6-7
2026-02-21vs CUESTA TC 18MX9.0ALost 02
L#1 DoublesMatthew Holland / Srinidhi Chari vs Allen Shen / Joyce Chou3-6, 3-6
L#2 DoublesKuan Chang / Cate Liston vs David Loi / Cathy Xin6-7, 4-6
2026-02-14Lost 01
L#3 DoublesJulia Chang / Kuan Chang vs Joshua Duong / Blake Yang1-6, 1-6
2026-02-01vs CUESTA TC 18MX9.0AWon 21
W#1 DoublesChris Bernt / Yvette Leung vs Cathy Xin / Hugh Nguyen6-4, 7-5
L#2 DoublesKuan Chang / Srinidhi Chari vs Emily Zhang / Calvin Chang2-6, 0-6
W#3 DoublesEric Chao / Wendy Cheng vs Kevin Liang / Joany Gao2-6, 6-3, 1-0
2026-01-28vs RINCONADA PK 18MX9.0ALost 01
L#2 DoublesCate Liston / Theo Novak vs Dong Chen / Dejia Tang5-7, 3-6
2026-01-24Lost 01
L#1 DoublesChris Bernt / Julia Chang vs Mitch Hu / Christy Ma0-6, 6-7
2026-01-10vs CUESTA TC 18MX9.0ALost 02
L#2 DoublesEric Chao / Julia Chang vs Emily Zhang / JZ Zhong6-4, 3-6, 0-1
L#3 DoublesOliver Novak / Malavika Padmanabhan-Kabana vs Allen Shen / Jenny Wang3-6, 2-6
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 4.14 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.

4.77
Malavika Padmanabhan-Kabana
usually #3 Doubles 67%, also #2 Doubles 33% · published
4.46
Chris Bernt
usually #2 Doubles 50%, also #1 Doubles 33% · published 4.5
4.34
Wendy Cheng
usually #3 Doubles 50%, also #1 Doubles 25% · published
Cate Liston
usually #2 Doubles 100% · published 4.5
4.23
Daniella Holm
usually #2 Doubles 56%, also #1 Doubles 33% · published 4.5
4.22
Veeraya Pupatwibul
usually #3 Doubles 50%, also #1 Doubles 38% · published
4.22
Eric Chao
usually #3 Doubles 67%, also #2 Doubles 33% · published
4.20
Kristine Tan
usually #1 Doubles 71%, also #2 Doubles 14% · published
4.17
Jennifer Jin
usually #2 Doubles 40%, also #3 Doubles 40% · published
4.12
Theo Novak
usually #1 Doubles 60%, also #2 Doubles 30% · published
4.11
Stephen Li
usually #1 Doubles 86%, also #2 Doubles 14% · published
3.96
Kuan Chang
usually #1 Doubles 44%, also #3 Doubles 33% · published
3.95
Srinidhi Chari
usually #3 Doubles 33%, also #2 Doubles 33% · published
3.84
Daniel Lloyd Pias
usually #2 Doubles 75%, also #1 Doubles 13% · published 4
3.78
Vladan Popovic
usually #3 Doubles 38%, also #2 Doubles 38% · published
3.74
Ken Ong
usually #1 Doubles 43%, also #3 Doubles 29% · published
Julia Chang
usually #2 Doubles 33%, also #1 Doubles 33% · published
Kyle Shun
usually #2 Doubles 100% · published
May Chee
usually #3 Doubles 38%, also #2 Doubles 38% · published
Oliver Novak
usually #3 Doubles 100% · published
Yvette Leung
usually #1 Doubles 50%, also #3 Doubles 50% · 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.

Vladan Popovic + May Chee3254% gamesnot enough data
Kristine Tan + Stephen Li123 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.

Malavika Padmanabhan-Kabana
4W–2L career · 3 lines in 2026
no projection at this level
4.77
4.5
Chris Bernt
8W–5L career · 6 lines in 2026
<1%60%40%
4.46
Wendy Cheng
23W–7L career · 4 lines in 2026
1%87%12%
4.34
4.5
Cate Liston
0W–2L career · 2 lines in 2026
not enough data
4.5
Daniella Holm
26W–15L career · 9 lines in 2026
5%92%3%
4.23
Veeraya Pupatwibul
23W–16L career · 8 lines in 2026
6%92%2%
4.22
Eric Chao
8W–9L career · 3 lines in 2026
6%92%2%
4.22
Kristine Tan
18W–19L career · 7 lines in 2026
8%91%2%
4.20
Jennifer Jin
19W–9L career · 5 lines in 2026
11%88%1%
4.17
Theo Novak
21W–10L career · 10 lines in 2026
20%80%<1%
4.12
Stephen Li
10W–9L career · 7 lines in 2026
21%78%<1%
4.11
Kuan Chang
15W–17L career · 9 lines in 2026
62%38%<1%
3.96
Srinidhi Chari
0W–6L career · 3 lines in 2026
64%36%<1%
3.95
4
Daniel Lloyd Pias
12W–14L career · type A · 8 lines in 2026
1%86%13%
3.84
Vladan Popovic
23W–20L career · 8 lines in 2026
2%92%6%
3.78
Ken Ong
30W–9L career · 14 lines in 2026
5%92%3%
3.74
Julia Chang
0W–3L career · 3 lines in 2026
not enough data
Kyle Shun
0W–1L career · 1 line in 2026
not enough data
May Chee
10W–7L career · 8 lines in 2026
not enough data
Oliver Novak
0W–1L career · 1 line in 2026
not enough data
Yvette Leung
3W–2L career · 2 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.