Teams

SGV Mo Better Mix - DeRosa - WN/SA10

2022 Mixed Tri Level -18 &Over-San Gabriel Valley · SGV - 3.5

18 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 →
Schedule7 played
L#1 DoublesAustin Galliguez / Roseann DeRosa vs Matt Hansen / Amy Jones4-6, 1-6
L#2 DoublesCharmaine Felix-Meyer / Jonathan Talbot vs Mustapha Baha / Aram Hamidi4-6, 7-6, 0-1
2022-11-05vs SGV Skyline- Chan - WN/SU10Lost 01
L#1 DoublesAustin Galliguez / Theona Zhordania vs Aki Eguchi / Jesse Wallis4-6, 4-6
W#2 DoublesRoseann DeRosa / Darren Wong vs Greg Howard / Aram Hamidi4-1
W#3 DoublesTrenman Yau / Elena Salinas vs Andrea Tieng / Robert Curtiss6-1, 6-1
L#3 DoublesTrenman Yau / Elena Salinas vs Vladimir Abadzhev / Irina Abadzheva2-6, 3-6
2022-10-15vs SGV Dare Doubles-Flores-WN-SU10Won 10
W#2 DoublesCharmaine Felix-Meyer / Jonathan Talbot vs Cara Hofstad / Gustavo Banderas6-3, 6-3
2022-10-02vs SGV Double Trouble-L.Chan-WN/SU10Won 10
W#2 DoublesMartin Chi / Roseann DeRosa vs Wesley Wang / Cynthia Garcia7-5, 6-3
2022-09-10vs SGV Skyline- Chan - WN/SU10Won 10
W#2 DoublesCharmaine Felix-Meyer / Martin Chi vs Beverly Martin / Dave Kang6-3, 6-2
A tie can be incomplete. Tell us if someone is missing.
i
Grouped by tie — one fixture, several lines. A line shows only when a player on it is someone we have indexed, so an early-season tie for a newly-added team can look short. This also means the line count here will not match the header, which counts individual player appearances.

Flight standings for SGV - 3.5 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 3.80 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.

4.23
Marjorie Buss
published
4.20
Austin Galliguez
published 4.5
4.15
Jennifer Avila
published
4.03
Martin Chi
published
3.89
Darren Wong
published 4
3.83
Jonathan Talbot
published
3.77
Monique Lind
published 4
3.76
Christina Islas
published 4
3.73
Roseann DeRosa
usually #2 Doubles 67%, also #1 Doubles 33% · published 4
3.71
Theona Zhordania
usually #1 Doubles 100% · published 4
3.67
Martin Vasquez
published
3.67
Charmaine Felix-Meyer
usually #2 Doubles 100% · published 4
3.63
Trenman Yau
published
3.48
Elena Salinas
usually #3 Doubles 100% · published 4
Everjohn Feliciano
published 3.5
3.23
Shaheen Plunier
published
Julia Sargsyan
published
Katrina Ho
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.

Marjorie Buss
6W–6L career · no lines in 2022
4%94%2%
4.23
4.5
Austin Galliguez
6W–4L career · no lines in 2022
6%93%1%
4.20
Jennifer Avila
8W–3L career · no lines in 2022
12%88%<1%
4.15
Martin Chi
19W–14L career · no lines in 2022
<1%41%59%
4.03
4
Darren Wong
18W–7L career · no lines in 2022
<1%81%19%
3.89
Jonathan Talbot
5W–7L career · no lines in 2022
1%90%10%
3.83
4
Monique Lind
54W–39L career · no lines in 2022
2%94%4%
3.77
4
Christina Islas
4W–4L career · no lines in 2022
2%94%3%
3.76
4
Roseann DeRosa
162W–106L career · 3 lines in 2022
4%94%2%
3.73
4
Theona Zhordania
117W–121L career · 1 line in 2022
5%93%1%
3.71
Martin Vasquez
4W–3L career · no lines in 2022
9%90%1%
3.67
4
Charmaine Felix-Meyer
118W–128L career · 3 lines in 2022
10%90%1%
3.67
Trenman Yau
11W–6L career · no lines in 2022
15%84%<1%
3.63
4
Elena Salinas
140W–158L career · 2 lines in 2022
55%45%<1%
3.48
3.5
Everjohn Feliciano
2W–0L career · no lines in 2022
not enough data
Shaheen Plunier
6W–8L career · no lines in 2022
4%94%2%
3.23
Julia Sargsyan
1W–1L career · no lines in 2022
not enough data
Katrina Ho
0W–2L 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.