Teams

SGV Mo Better Dubs-DeRosa-WN/SU10

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

13 players · average NTRP 3.93 / 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 3.73 estimated across 11 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.

3.89
Darren Wong
published 4
3.84
Pan Lee
published
3.83
Josie Blakeslee
usually #3 Doubles 50%, also #2 Doubles 50% · published
3.80
Xiaochun Wang
published
3.76
Christina Islas
published 4
3.73
Jordyn Parry
usually #1 Doubles 67%, also #2 Doubles 33% · published 4
3.73
Roseann DeRosa
usually #2 Doubles 50%, also #3 Doubles 33% · published 4
3.71
Theona Zhordania
usually #1 Doubles 50%, also #2 Doubles 50% · published 4
3.67
Martin Vasquez
published
3.63
Trenman Yau
published
3.48
Elena Salinas
usually #2 Doubles 50%, also #3 Doubles 25% · published 4
Everjohn Feliciano
published 3.5
Julia Sargsyan
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
Darren Wong
18W–7L career · no lines in 2025
<1%81%19%
3.89
Pan Lee
5W–4L career · no lines in 2025
<1%89%11%
3.84
Josie Blakeslee
11W–8L career · 6 lines in 2025
1%90%9%
3.83
Xiaochun Wang
4W–0L career · no lines in 2025
1%93%6%
3.80
4
Christina Islas
4W–4L career · no lines in 2025
2%94%3%
3.76
4
Jordyn Parry
168W–127L career · 6 lines in 2025
4%94%2%
3.73
4
Roseann DeRosa
162W–106L career · 6 lines in 2025
4%94%2%
3.73
4
Theona Zhordania
117W–121L career · 2 lines in 2025
5%93%1%
3.71
Martin Vasquez
4W–3L career · no lines in 2025
9%90%1%
3.67
Trenman Yau
11W–6L career · no lines in 2025
15%84%<1%
3.63
4
Elena Salinas
140W–158L career · 8 lines in 2025
55%45%<1%
3.48
3.5
Everjohn Feliciano
2W–0L career · no lines in 2025
not enough data
Julia Sargsyan
1W–1L 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.