Teams

RINCONADA PK 18AW3.0B

2022 ADULT 18&Over · Women's 3.0

13 players · average NTRP 3.50 / 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 3.0 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 3.35 estimated across 12 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.

3.85
Amy Yang
published 4
3.77
Zuying Gao
published
3.74
Vanessa Graciano
published
3.50
Taryn Yee
published
3.42
Hurjane Vongsachang
published 3.5
3.37
Xin Yang
published
3.33
Connie J Chang
published 3.5
3.19
Tara Maddala
published
3.15
Katherine Li
published
3.15
Elma Wang
published 3.5
2.86
Elizabeth Shen
published 3.5
2.81
Elaine Chen
published 3
Kelly Hsieh
published
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
Amy Yang
26W–11L career · no lines in 2022
<1%88%12%
3.85
Zuying Gao
8W–5L career · no lines in 2022
2%94%4%
3.77
Vanessa Graciano
31W–11L career · no lines in 2022
3%95%2%
3.74
Taryn Yee
6W–2L career · no lines in 2022
<1%49%51%
3.50
3.5
Hurjane Vongsachang
15W–3L career · no lines in 2022
<1%73%27%
3.42
Xin Yang
17W–9L career · no lines in 2022
<1%84%16%
3.37
3.5
Connie J Chang
20W–12L career · no lines in 2022
1%89%10%
3.33
Tara Maddala
8W–15L career · no lines in 2022
8%92%1%
3.19
Katherine Li
6W–4L career · no lines in 2022
12%88%<1%
3.15
3.5
Elma Wang
1W–3L career · no lines in 2022
13%87%<1%
3.15
3.5
Elizabeth Shen
8W–17L career · no lines in 2022
86%14%<1%
2.86
3
Elaine Chen
12W–20L career · no lines in 2022
1%92%7%
2.81
Kelly Hsieh
5W–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.