Teams

SGV Skyline- Chan - WN/SU10

2022 Mixed Doubles - 18 & Over San Gabriel Valley · SGV - 8.0 Mixed Division

14 players · average NTRP 4.00 / 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 3.74 estimated across 9 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 75%, also #2 Doubles 25% · published 4.5
4.00
Jesse Huang
published
3.97
Lily Wu
published
3.75
Lorene Miller
usually #2 Doubles 100% · published 4
Hung Ho
published 4
3.73
Maureen Jaramillo
published
3.64
Nicole Reyes
published
3.59
Joanna Aguinaldo
published
3.42
Jasmine M Liu
published
3.20
Pei Fu
usually #3 Doubles 33%, also #1 Doubles 33% · published 3.5
Jesse Wallis
published
Jorge Navarro
published
Nancy Bruyninx
published
Wesley Wang
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.

Jesse Huang + Jasmine M Liu314 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.

4.5
Tai Sisson
249W–74L career · 4 lines in 2022
<1%87%13%
4.35
Jesse Huang
16W–13L career · no lines in 2022
48%52%<1%
4.00
Lily Wu
3W–7L career · no lines in 2022
58%42%<1%
3.97
4
Lorene Miller
95W–69L career · 1 line in 2022
2%95%3%
3.75
4
Hung Ho
2W–1L career · no lines in 2022
not enough data
Maureen Jaramillo
5W–6L career · no lines in 2022
4%94%2%
3.73
Nicole Reyes
99W–45L career · no lines in 2022
<1%14%86%
3.64
Joanna Aguinaldo
0W–3L career · no lines in 2022
24%76%<1%
3.59
Jasmine M Liu
22W–8L career · no lines in 2022
<1%74%26%
3.42
3.5
Pei Fu
85W–49L career · 3 lines in 2022
7%92%1%
3.20
Jesse Wallis
1W–0L career · no lines in 2022
not enough data
Jorge Navarro
3W–4L career · no lines in 2022
not enough data
Nancy Bruyninx
1W–5L career · no lines in 2022
not enough data
Wesley Wang
3W–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.