Teams

SUNNYVALE MTC CW8.5B

2023 COMBO · Women 8.5

15 players · average NTRP 4.75 / 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 8.5 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 4.16 estimated across 13 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.

Clarissa Fung
published 5
4.68
Joyce Chou
published
4.61
Cathy Xin
published 5
4.43
Qingqing Zong
published
4.32
Carol Wang
published 4.5
4.28
Lisa Oktavia
published
4.23
Daniella Holm
published 4.5
4.22
Veeraya Pupatwibul
published
4.17
Jennifer Jin
published
4.12
Winnie Zhang
published
4.02
Elani Phan
published
3.79
Tien-Hsin Lin
published
3.64
Sharon Huang
published
3.57
Meng-Lun Tsai
published
Sharon Yang
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.

Veeraya Pupatwibul + Winnie Zhang7454% games+9.4% vs expected
Daniella Holm + Veeraya Pupatwibul213 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
Clarissa Fung
12W–1L career · no lines in 2023
not enough data
Joyce Chou
7W–2L career · no lines in 2023
no projection at this level
4.68
5
Cathy Xin
16W–6L career · no lines in 2023
no projection at this level
4.61
Qingqing Zong
12W–4L career · no lines in 2023
no projection at this level
4.43
4.5
Carol Wang
5W–20L career · no lines in 2023
1%89%10%
4.32
Lisa Oktavia
41W–21L career · no lines in 2023
2%92%6%
4.28
4.5
Daniella Holm
26W–15L career · no lines in 2023
5%92%3%
4.23
Veeraya Pupatwibul
23W–16L career · no lines in 2023
6%92%2%
4.22
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
Elani Phan
13W–21L career · no lines in 2023
45%55%<1%
4.02
Tien-Hsin Lin
19W–17L career · no lines in 2023
2%91%7%
3.79
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
Sharon Yang
2W–3L 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.