Teams

SGV Mo Better Mixed-De Rosa-WN/SA12

2023 Mixed Doubles - 18 & Over San Gabriel Valley · SGV - 8.0 Mixed Division

19 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 3.67 estimated across 15 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.

3.94
3.83
Jonathan Talbot
published
3.78
Xiaochun Wang
published
3.76
George Llewellyn
published
3.75
Monique Lind
published 4
3.74
Christina Islas
published 4
3.70
Roseann DeRosa
usually #2 Doubles 50%, also #1 Doubles 25% · published 4
3.68
Theona Zhordania
usually #3 Doubles 100% · published 4
3.68
Charmaine Felix-Meyer
usually #1 Doubles 67%, also #2 Doubles 33% · published 4
3.65
Pan Lee
published
3.59
Trenman Yau
published
3.56
Darren Wong
published 4
3.56
Martin Vasquez
published
3.48
Elena Salinas
published 4
3.30
Chia Chi Tsai
published 3.5
Elias Trujillo
published
Julia Campbell
published
Julia Sargsyan
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.

Charmaine Felix-Meyer + Jonathan Talbot033 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
Dastan Mazhetayev
14W–9L career · no lines in 2023
<1%67%33%
3.94
Jonathan Talbot
5W–7L career · no lines in 2023
1%88%11%
3.83
Xiaochun Wang
4W–0L career · no lines in 2023
2%92%5%
3.78
George Llewellyn
2W–2L career · no lines in 2023
3%92%4%
3.76
4
Monique Lind
54W–39L career · no lines in 2023
4%93%4%
3.75
4
Christina Islas
4W–4L career · no lines in 2023
4%93%3%
3.74
4
Roseann DeRosa
162W–106L career · 4 lines in 2023
8%91%2%
3.70
4
Theona Zhordania
117W–121L career · 1 line in 2023
10%89%1%
3.68
4
Charmaine Felix-Meyer
118W–128L career · 3 lines in 2023
10%89%1%
3.68
Pan Lee
5W–4L career · no lines in 2023
<1%14%86%
3.65
Trenman Yau
11W–6L career · no lines in 2023
26%74%<1%
3.59
4
Darren Wong
18W–7L career · no lines in 2023
33%67%<1%
3.56
Martin Vasquez
4W–3L career · no lines in 2023
<1%33%67%
3.56
4
Elena Salinas
140W–158L career · no lines in 2023
55%45%<1%
3.48
3.5
Chia Chi Tsai
6W–3L career · no lines in 2023
2%91%8%
3.30
Elias Trujillo
3W–1L career · no lines in 2023
not enough data
Julia Campbell
2W–2L career · no lines in 2023
not enough data
Julia Sargsyan
1W–1L career · no lines in 2023
not enough data
Ulises Lorenzo Garcia
4W–4L career · no lines in 2023
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.