Teams

RINCONADA PK CW8.5C

2022 COMBO · Women 8.5

16 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 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 4.07 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.

4.42
Qingqing Zong
published
4.36
Daniella Holm
published 4.5
4.34
Kanako Suzuki
published
4.32
Carol Wang
published 4.5
4.32
Sueyin Wong
published
4.28
Veeraya Pupatwibul
published
4.13
Winnie Zhang
published
4.11
Velislava Balin
published
3.91
Rashmi Munot
published
3.86
Jacqueline Lam
published 4
3.80
Tien-Hsin Lin
published
Claudia Westrum
published 4
3.62
Sharon Huang
published
3.40
Rina Tsujimoto
published
Katerina Novitskaya
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+5.2% 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.

Qingqing Zong
12W–4L career · no lines in 2022
72%28%<1%
4.42
4.5
Daniella Holm
26W–15L career · no lines in 2022
<1%85%14%
4.36
Kanako Suzuki
10W–3L career · no lines in 2022
<1%89%10%
4.34
4.5
Carol Wang
5W–20L career · no lines in 2022
1%91%8%
4.32
Sueyin Wong
13W–21L career · no lines in 2022
1%91%8%
4.32
Veeraya Pupatwibul
23W–16L career · no lines in 2022
1%94%5%
4.28
Winnie Zhang
13W–25L career · no lines in 2022
16%84%<1%
4.13
Velislava Balin
3W–15L career · no lines in 2022
21%79%<1%
4.11
Rashmi Munot
25W–22L career · no lines in 2022
<1%76%24%
3.91
4
Jacqueline Lam
5W–13L career · no lines in 2022
<1%85%14%
3.86
Tien-Hsin Lin
18W–17L career · no lines in 2022
1%93%6%
3.80
4
Claudia Westrum
0W–2L career · type S · no lines in 2022
not enough data
Sharon Huang
2W–2L career · no lines in 2022
17%82%<1%
3.62
Rina Tsujimoto
5W–23L career · no lines in 2022
78%22%<1%
3.40
Katerina Novitskaya
8W–3L career · no lines in 2022
not enough data
Sharon Yang
2W–3L 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.