Teams

SGV Dare Doubles-Wang-WN/SU

2024 Mixed Doubles - 40 & Over San Gabriel Valley · SGV - 9.0 Mixed Division

16 players · average NTRP 4.20 / 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 - 9.0 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 3.79 estimated across 10 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
Kevin Quinn
published
4.11
Heidi Schuler
usually #1 Doubles 100% · published 4.5
4.05
Jasmine Dai
published
3.94
EVAN CHANG
usually #2 Doubles 67%, also #3 Doubles 33% · published 4.5
3.85
Wenli Chen
published
3.79
Cara Hofstad
usually #1 Doubles 50%, also #2 Doubles 33% · published 4
3.61
Yolanda Barocio
usually #1 Doubles 80%, also #2 Doubles 20% · published 4
3.61
Hugh Allen
published
3.41
Kevin Ikuta
published
3.12
Peter Yen
published
Gabriel Fitch
published
Greg Howard
published
Jermaine Montgomery
published
Julie Juliani
published
Sean Manion
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.

EVAN CHANG + Heidi Schuler314 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.

Kevin Quinn
27W–10L career · no lines in 2024
<1%72%28%
4.42
4.5
Heidi Schuler
117W–78L career · 1 line in 2024
22%78%<1%
4.11
Jasmine Dai
8W–5L career · no lines in 2024
36%64%<1%
4.05
4.5
EVAN CHANG
97W–139L career · 3 lines in 2024
67%33%<1%
3.94
Wenli Chen
5W–10L career · no lines in 2024
85%15%<1%
3.85
4
Cara Hofstad
218W–155L career · 6 lines in 2024
2%92%6%
3.79
4
Charles Villarino
0W–1L career · no lines in 2024
not enough data
4
Yolanda Barocio
136W–211L career · 5 lines in 2024
22%78%<1%
3.61
Hugh Allen
4W–2L career · no lines in 2024
22%77%<1%
3.61
Kevin Ikuta
6W–6L career · no lines in 2024
<1%<1%>99%
3.41
Peter Yen
6W–20L career · no lines in 2024
>99%<1%<1%
3.12
Gabriel Fitch
1W–2L career · no lines in 2024
not enough data
Greg Howard
0W–2L career · no lines in 2024
not enough data
Jermaine Montgomery
2W–2L career · no lines in 2024
not enough data
Julie Juliani
4W–4L career · no lines in 2024
not enough data
Sean Manion
2W–2L career · no lines in 2024
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.