Teams

SUNNYVALE MTC 18MX9.0C

2022 MIXED 18&Over · 18&Over MX9.0

16 players · average NTRP 4.58 / 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 4.17 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.

4.93
Anthony Kerin
published 5
4.64
Dong Chen
published 5
4.42
Ian Lin
published 4.5
4.32
Carol Wang
published 4.5
4.30
Matt Lin
published
4.29
Paul Liu
published
4.24
John Rongxiang Hu
published
4.22
Tegwyn John
published
4.16
Kate Yue Du
published
4.01
Edmond Wang
published 4
3.92
Patty Cheng
published
3.89
Bhaskar Sarma
published 4.5
3.88
May Wang
published
3.87
Yui Tantiyavarong
published
3.39
May Mu
published
Sandra Wong
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.

John Rongxiang Hu + Carol Wang044 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
Anthony Kerin
5W–0L career · no lines in 2022
<1%70%30%
4.93
5
Dong Chen
7W–4L career · no lines in 2022
14%85%<1%
4.64
4.5
Ian Lin
3W–1L career · no lines in 2022
<1%74%26%
4.42
4.5
Carol Wang
5W–20L career · no lines in 2022
1%91%8%
4.32
Matt Lin
8W–7L career · no lines in 2022
1%93%6%
4.30
Paul Liu
27W–18L career · no lines in 2022
1%93%6%
4.29
John Rongxiang Hu
2W–12L career · no lines in 2022
3%94%2%
4.24
Tegwyn John
9W–5L career · no lines in 2022
4%94%2%
4.22
Kate Yue Du
6W–4L career · no lines in 2022
11%88%<1%
4.16
4
Edmond Wang
8W–9L career · no lines in 2022
<1%46%54%
4.01
Patty Cheng
9W–8L career · no lines in 2022
73%27%<1%
3.92
4.5
Bhaskar Sarma
9W–3L career · no lines in 2022
81%19%<1%
3.89
May Wang
14W–9L career · no lines in 2022
<1%81%19%
3.88
Yui Tantiyavarong
6W–28L career · no lines in 2022
85%15%<1%
3.87
May Mu
6W–16L career · no lines in 2022
<1%80%20%
3.39
Sandra Wong
0W–2L career · no lines in 2022
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.