Teams

SGV Skyline- Chan - WN/SU10

2022 Mixed Doubles - 40 & Over San Gabriel Valley · SGV - 8.0 Mixed Division

14 players · average NTRP 3.75 / 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 3.68 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.

4.07
Jasmine Dai
published
4.05
Ky Vo
published
3.97
Lily Wu
published
3.87
Wenli Chen
published
3.75
Lorene Miller
usually #1 Doubles 100% · published 4
Alan Gee
published 4
Hung Ho
published 4
3.73
CHIH HAO PAN
published 4
3.73
Maureen Jaramillo
published
3.65
Ron Borje
published
3.34
Jenniffer Wong
usually #2 Doubles 75%, also #3 Doubles 25% · published 3.5
2.63
Josephine Chow
usually #1 Doubles 40%, also #2 Doubles 40% · published 3
Jesse Wallis
published
Matt Jester
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
Ky Vo
11W–15L career · no lines in 2022
35%65%<1%
4.05
Lily Wu
3W–7L career · no lines in 2022
58%42%<1%
3.97
Wenli Chen
5W–10L career · no lines in 2022
85%15%<1%
3.87
4
Lorene Miller
95W–69L career · 2 lines in 2022
2%95%3%
3.75
4
Alan Gee
1W–1L career · type S · no lines in 2022
not enough data
4
Hung Ho
2W–1L career · no lines in 2022
not enough data
4
CHIH HAO PAN
3W–3L career · no lines in 2022
4%94%2%
3.73
Maureen Jaramillo
5W–6L career · no lines in 2022
4%94%2%
3.73
Ron Borje
9W–5L career · no lines in 2022
13%86%<1%
3.65
3.5
Jenniffer Wong
200W–169L career · 4 lines in 2022
<1%88%11%
3.34
3
Josephine Chow
145W–300L career · 5 lines in 2022
15%84%<1%
2.63
Jesse Wallis
1W–0L career · no lines in 2022
not enough data
Matt Jester
0W–5L 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.