Teams

CUBBERLEY 18AW4.0A

2025 ADULT 18&Over · Women's 4.0

22 players · average NTRP 4.00 / 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 3.69 estimated across 22 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.

4.09
Kuan Chieh Tu
published
4.02
Joy MENG
usually #3 Doubles 100% · published
3.97
Chunguang He
usually #1 Doubles 50%, also #1 Singles 50% · published 4
3.92
Yuewei Wang
usually #2 Singles 100% · published
3.88
Blake Yang
usually #3 Doubles 100% · published 4
3.87
Arianna Choing
published 4
3.87
May Wang
published
3.84
Elaine Zhao
usually #2 Singles 100% · published
3.79
Christy Ma
published 4
3.78
Alicia Luo
usually #1 Singles 67%, also #2 Doubles 33% · published 4
3.74
Zuying Gao
usually #1 Singles 100% · published
3.74
Christine Yeh
published 4
3.73
Vanessa Garcia
usually #1 Singles 50%, also #3 Doubles 50% · published
3.69
Yiwen Xie
usually #1 Singles 50%, also #2 Doubles 50% · published
3.64
Sharon Huang
published
3.61
Deepthi Vishwanath
usually #1 Singles 100% · published 4
3.45
Reina Rampell
published
3.43
Amy Li
published 4
3.35
Yaqiong Wang
published
3.15
Terry Huang
usually #2 Singles 100% · published
3.06
Fiona Li
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.

Christine Yeh + Frances Caroline Gardhouse2346% games−0.6% vs expected
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.

Kuan Chieh Tu
12W–4L career · no lines in 2025
<1%26%74%
4.09
Joy MENG
11W–2L career · 1 line in 2025
<1%44%56%
4.02
4
Chunguang He
17W–4L career · 2 lines in 2025
<1%59%41%
3.97
Yuewei Wang
24W–6L career · 1 line in 2025
<1%72%28%
3.92
4
Blake Yang
26W–4L career · 2 lines in 2025
<1%81%19%
3.88
4
Arianna Choing
14W–3L career · no lines in 2025
<1%82%18%
3.87
May Wang
14W–9L career · no lines in 2025
<1%82%18%
3.87
Elaine Zhao
11W–11L career · 1 line in 2025
1%87%13%
3.84
4
Christy Ma
25W–23L career · no lines in 2025
2%91%7%
3.79
4
Alicia Luo
9W–5L career · 3 lines in 2025
2%92%6%
3.78
Zuying Gao
9W–5L career · 1 line in 2025
4%93%3%
3.74
4
Christine Yeh
15W–21L career · no lines in 2025
5%92%3%
3.74
Vanessa Garcia
8W–18L career · 2 lines in 2025
5%92%3%
3.73
Yiwen Xie
24W–14L career · 2 lines in 2025
<1%9%91%
3.69
Sharon Huang
2W–2L career · no lines in 2025
17%83%<1%
3.64
4
Deepthi Vishwanath
11W–10L career · 1 line in 2025
21%79%<1%
3.61
Frances Caroline Gardhouse
16W–23L career · no lines in 2025
42%58%<1%
3.53
Reina Rampell
6W–8L career · no lines in 2025
63%37%<1%
3.45
4
Amy Li
2W–3L career · no lines in 2025
69%31%<1%
3.43
Yaqiong Wang
0W–3L career · no lines in 2025
86%14%<1%
3.35
Terry Huang
23W–25L career · 2 lines in 2025
14%86%1%
3.15
Fiona Li
4W–2L career · no lines in 2025
33%67%<1%
3.06

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.