Teams

SGV Dare Doubles-Wang-WN/

2025 Mixed Doubles - 18 & Over San Gabriel Valley · SGV - 8.0 Mixed Division

14 players · average NTRP 3.94 / 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 - 8.0 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 3.77 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.

4.35
Tai Sisson
usually #1 Doubles 40%, also #2 Doubles 40% · published 4.5
4.15
Jennifer Avila
published
4.15
Heidi Schuler
usually #1 Doubles 100% · published 4.5
4.07
Jasmine Dai
published
3.83
Manoj Parmar
usually #3 Doubles 50%, also #1 Doubles 25% · published 4
3.63
Yolanda Barocio
usually #2 Doubles 50%, also #1 Doubles 25% · published 4
3.62
Blason Taon
usually #2 Doubles 50%, also #3 Doubles 50% · published 4
3.60
Khin Aye
usually #1 Doubles 100% · published
3.59
Jill Jobran
usually #3 Doubles 56%, also #1 Doubles 22% · published 3.5
3.50
Hong Ye
published 3.5
3.46
Kevin Ikuta
usually #2 Doubles 100% · published
3.28
Chia Chi Tsai
published 3.5
Russell Wilcox
published
Wayne Hu
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.

4.5
Tai Sisson
249W–74L career · 5 lines in 2025
<1%87%13%
4.35
Jennifer Avila
8W–3L career · no lines in 2025
12%88%<1%
4.15
4.5
Heidi Schuler
117W–78L career · 4 lines in 2025
12%87%<1%
4.15
Jasmine Dai
8W–5L career · no lines in 2025
29%71%<1%
4.07
4
Manoj Parmar
149W–42L career · 12 lines in 2025
1%90%9%
3.83
4
Yolanda Barocio
136W–211L career · 8 lines in 2025
16%84%<1%
3.63
4
Blason Taon
84W–57L career · 4 lines in 2025
17%82%<1%
3.62
Khin Aye
10W–16L career · 1 line in 2025
21%78%<1%
3.60
3.5
Jill Jobran
172W–46L career · 9 lines in 2025
<1%25%75%
3.59
3.5
Hong Ye
19W–9L career · no lines in 2025
<1%52%48%
3.50
Kevin Ikuta
6W–6L career · 1 line in 2025
<1%<1%>99%
3.46
3.5
Chia Chi Tsai
6W–3L career · no lines in 2025
2%94%5%
3.28
Russell Wilcox
1W–0L career · no lines in 2025
not enough data
Wayne Hu
2W–2L career · no lines in 2025
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.