Teams

MENLO ATHERTON HS 18MX9.0A

2023 MIXED 18&Over · 18&Over MX9.0

17 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 4.26 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.

Gwenaelle Mille
published 5
4.68
Joyce Chou
published
4.64
Dong Chen
published 5
4.52
Joshua Duong
published
4.37
Yi Ding
published
4.34
Mike Arun
published
4.30
Matt Lin
published
4.29
Paul Liu
published
4.26
Roman Olmos
published
4.25
Piyush Lakhawat
published
4.22
Dennis Harper
published 4.5
4.17
Kehan Li
published
4.15
Elani Phan
published 5
3.93
Haihua Yan
published 4
3.89
Bhaskar Sarma
published 4.5
3.88
May Wang
published
Tina Okawa
published
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
Gwenaelle Mille
0W–1L career · no lines in 2023
not enough data
Joyce Chou
7W–2L career · no lines in 2023
9%91%1%
4.68
5
Dong Chen
7W–4L career · no lines in 2023
14%85%<1%
4.64
Joshua Duong
13W–11L career · no lines in 2023
44%56%<1%
4.52
Yi Ding
6W–5L career · no lines in 2023
<1%84%16%
4.37
Mike Arun
3W–0L career · no lines in 2023
<1%88%11%
4.34
Matt Lin
8W–7L career · no lines in 2023
1%93%6%
4.30
Paul Liu
27W–18L career · no lines in 2023
1%93%6%
4.29
Roman Olmos
13W–9L career · no lines in 2023
2%94%3%
4.26
Piyush Lakhawat
19W–19L career · no lines in 2023
3%95%3%
4.25
4.5
Dennis Harper
8W–6L career · no lines in 2023
4%94%2%
4.22
Kehan Li
8W–6L career · no lines in 2023
9%90%1%
4.17
5
Elani Phan
13W–20L career · no lines in 2023
>99%<1%<1%
4.15
4
Haihua Yan
5W–6L career · no lines in 2023
<1%69%31%
3.93
4.5
Bhaskar Sarma
9W–3L career · no lines in 2023
81%19%<1%
3.89
May Wang
14W–9L career · no lines in 2023
<1%81%19%
3.88
Tina Okawa
1W–1L career · no lines in 2023
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.