Teams

SGV Dare Doubles Challenge-Wang-WN/SU10

2022 Mixed Doubles - 40 & Over San Gabriel Valley · SGV - 7.0 Mixed Division

15 players · average NTRP 3.69 / SO.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 SGV - 7.0 Mixed Division 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 3.47 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.

4.07
Jasmine Dai
published
3.78
Cara Hofstad
usually #1 Doubles 71%, also #3 Doubles 14% · published 4
3.74
Ernie Maldonado
published 4
3.73
CHIH HAO PAN
published 4
3.50
Hong Ye
published 3.5
3.48
Max Seong Cho
published
3.48
Nancy Ray
published
3.34
AARON H. CHEN
published 3.5
3.28
Peter Yen
published
3.28
Kimberly Foon
published
Andy Thai
published 3.5
3.04
Sandra Zane
usually #2 Doubles 60%, also #3 Doubles 20% · published 3.5
2.97
En En Liao
published 3.5
Katsuo Togawa
published
Zhan Yan
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.

Jasmine Dai
8W–5L career · no lines in 2022
29%71%<1%
4.07
4
Cara Hofstad
218W–155L career · 7 lines in 2022
2%94%5%
3.78
4
Ernie Maldonado
3W–7L career · type S · no lines in 2022
3%94%2%
3.74
4
CHIH HAO PAN
3W–3L career · no lines in 2022
4%94%2%
3.73
3.5
Hong Ye
19W–9L career · no lines in 2022
<1%52%48%
3.50
Max Seong Cho
5W–13L career · no lines in 2022
56%44%<1%
3.48
Nancy Ray
11W–11L career · no lines in 2022
<1%56%44%
3.48
3.5
AARON H. CHEN
6W–2L career · no lines in 2022
<1%88%11%
3.34
Peter Yen
6W–20L career · no lines in 2022
95%5%<1%
3.28
Kimberly Foon
2W–3L career · no lines in 2022
2%94%4%
3.28
3.5
Andy Thai
6W–1L career · no lines in 2022
not enough data
3.5
Sandra Zane
146W–141L career · 5 lines in 2022
38%62%<1%
3.04
3.5
En En Liao
1W–3L career · no lines in 2022
60%40%<1%
2.97
Katsuo Togawa
4W–2L career · no lines in 2022
not enough data
Zhan Yan
8W–0L 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.