Teams

SUNNYVALE MTC 18MX9.0C

2023 MIXED 18&Over · 18&Over MX9.0

18 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 →

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 3.91 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.

4.32
Carol Wang
published 4.5
Aditya Sanghani
published 4.5
4.24
Deepak Srikanth
published 4.5
4.21
John Rongxiang Hu
published
4.13
Lina Li
published
4.07
Jiada Liu
published
4.04
Mitch Hu
published
4.02
Joy MENG
published
4.00
Jackie Guo
published
3.94
Rayne Liu
published
3.81
Yui Tantiyavarong
published
3.79
Andrew Lu
published 4
3.71
Evan Wong
published
3.64
Sharon Huang
published
3.62
Ping Yu
published
3.19
Fred Li
published
Sharon Yang
published
Wennie Nie
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.

4.5
Carol Wang
5W–20L career · no lines in 2023
1%89%10%
4.32
4.5
Aditya Sanghani
1W–3L career · no lines in 2023
not enough data
4.5
Deepak Srikanth
2W–3L career · no lines in 2023
5%92%3%
4.24
John Rongxiang Hu
2W–12L career · no lines in 2023
6%92%2%
4.21
Lina Li
11W–18L career · no lines in 2023
17%83%<1%
4.13
Jiada Liu
2W–1L career · no lines in 2023
32%68%<1%
4.07
Mitch Hu
7W–12L career · no lines in 2023
40%60%<1%
4.04
Joy MENG
11W–2L career · no lines in 2023
<1%44%56%
4.02
Jackie Guo
14W–11L career · no lines in 2023
50%50%<1%
4.00
Rayne Liu
5W–16L career · no lines in 2023
66%34%<1%
3.94
Yui Tantiyavarong
6W–28L career · no lines in 2023
92%8%<1%
3.81
4
Andrew Lu
19W–8L career · no lines in 2023
2%91%7%
3.79
Evan Wong
20W–14L career · no lines in 2023
7%91%2%
3.71
Sharon Huang
2W–2L career · no lines in 2023
17%83%<1%
3.64
Ping Yu
25W–20L career · no lines in 2023
<1%19%81%
3.62
Fred Li
7W–13L career · no lines in 2023
99%1%<1%
3.19
Sharon Yang
2W–3L career · no lines in 2023
not enough data
Wennie Nie
5W–8L 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.