Teams

SUNNYVALE MTC 18AW4.0A

2023 ADULT 18&Over · Women's 4.0

18 players · average NTRP 4.25 / 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 Women's 4.0 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 4.01 estimated across 17 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.

4.43
Qingqing Zong
published
4.23
Daniella Holm
published 4.5
4.23
Giana Flores
published
4.22
Stephanie Wei
published
4.20
Kristine Tan
published
4.17
Jennifer Jin
published
4.12
Winnie Zhang
published
4.11
Jiayi Shen
published
4.06
Tiffany Liew
published
4.02
Joy MENG
published
3.98
Helen Lam
published
3.87
Jindan Xu
published
3.79
Tien-Hsin Lin
published
3.79
Christy Ma
published 4
3.76
Min Qian
published
3.64
Sharon Huang
published
3.57
Meng-Lun Tsai
published
Jade Chen
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.

Jennifer Jin + Kristine Tan314 matchesnot enough data
Tien-Hsin Lin + Kristine Tan213 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.

Qingqing Zong
12W–4L career · no lines in 2023
no projection at this level
4.43
4.5
Daniella Holm
26W–15L career · no lines in 2023
5%92%3%
4.23
Giana Flores
7W–9L career · no lines in 2023
5%92%3%
4.23
Stephanie Wei
7W–5L career · no lines in 2023
5%92%2%
4.22
Kristine Tan
18W–19L career · no lines in 2023
8%91%2%
4.20
Jennifer Jin
19W–9L career · no lines in 2023
11%88%1%
4.17
Winnie Zhang
13W–25L career · no lines in 2023
19%81%<1%
4.12
Jiayi Shen
12W–2L career · no lines in 2023
<1%22%78%
4.11
Tiffany Liew
14W–12L career · no lines in 2023
32%68%<1%
4.06
Joy MENG
11W–2L career · no lines in 2023
<1%44%56%
4.02
Helen Lam
11W–8L career · no lines in 2023
55%45%<1%
3.98
Jindan Xu
4W–6L career · no lines in 2023
83%17%<1%
3.87
Tien-Hsin Lin
19W–17L career · no lines in 2023
2%91%7%
3.79
4
Christy Ma
25W–23L career · no lines in 2023
2%91%7%
3.79
Min Qian
8W–7L career · no lines in 2023
3%93%4%
3.76
Sharon Huang
2W–2L career · no lines in 2023
17%83%<1%
3.64
Meng-Lun Tsai
4W–5L career · no lines in 2023
31%69%<1%
3.57
Jade Chen
1W–2L 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.