Teams

LLW SGV Mo Better Tennis-DeRosa-WN/SA10

2023 Adult Division - 18 & Over San Gabriel Valley · SGV - Women 4.0

18 players · average NTRP 4.00 / SO.CALIFORNIA

View scouting list →
Schedule10 played
2023-06-24vs SGV Ballers-Miller-Scholl/SA9Split 11
W#2 DoublesRoseann DeRosa / Theona Zhordania vs Candice Hung / Rebecca Roman-Gonzalez6-2, 6-3
L#2 SinglesGloria Ziperovich vs Laura del Beccaro1-6, 3-6
L#2 DoublesClaudia Ibarra / Holly Lieberenz vs Kristin McQueen / Carla Denker2-6, 4-6
W#1 DoublesDidi Sowul / Gloria Ziperovich vs Sharon Elliott / Stephanie Perry6-4, 6-4
W#2 DoublesXiaochun Wang / Monique Lind vs ISABELLE DEPIESSE / Sandra Manion6-2, 6-2
2023-06-03vs SGV Dare Doubles-Flores-WN/SU 8Split 11
L#2 DoublesRoseann DeRosa / Theona Zhordania vs Cara Hofstad / Adrienne Beauvois3-6, 5-7
W#3 DoublesXiaochun Wang / Monique Lind vs Jina Lee / Roxanne Stevens6-2, 6-3
2023-05-13vs SGV Chow Fun- Chow-WN/SU10Won 10
W#1 DoublesJulia Campbell / Theona Zhordania vs Cynthia Garcia / Lorene Miller7-5, 5-7, 1-0
W#1 DoublesSylvia DSouza / Roseann DeRosa vs Cindi Carter / Tess de Los Reyes6-4, 2-6, 1-0
W#3 DoublesMonique Lind / Jennifer Lee vs Antoinette Lessuk / Holly Wolfle Hall6-0, 7-5
W#1 DoublesJulia Campbell / Theona Zhordania vs Stephanie Perry / Alison Latiolait6-3, 1-6, 1-0
L#2 DoublesRoseann DeRosa / Elena Salinas vs Sandra Manion / Christyne Burdett4-6, 1-6
2023-04-23vs SGV Dare Doubles-Flores-WN/SU 8Won 20
W#1 DoublesJulia Sargsyan / Theona Zhordania vs Maria Bailey / Rosie Bonilla6-3, 6-1
W#2 SinglesGloria Ziperovich vs Darlene Scott6-1, 6-2
2023-04-15vs SGV Ballers-Miller-Scholl/SA9Lost 02
L#2 DoublesKaren Vidal / Holly Lieberenz vs Mary Chau / Candice Hung1-6, 2-6
L#3 DoublesDidi Sowul / Sylvia DSouza vs Casey Chau / Charanya Sivaraman2-6, 1-6
2023-04-08vs SGV Chow Fun- Chow-WN/SU10Lost 02
L#1 DoublesRoseann DeRosa / Theona Zhordania vs Hatty Yip / Cindy Shin - (DQ)*1-6, 3-6
L#2 SinglesGloria Ziperovich vs PATRICIA ARAKI7-6, 1-2
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 - Women 4.0 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 3.72 estimated across 16 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.

4.22
Marjorie Buss
published
4.19
Demi Dang
published 4.5
3.84
Claudia Ibarra
published 4
3.78
Xiaochun Wang
published
3.75
Monique Lind
usually #3 Doubles 67%, also #2 Doubles 33% · published 4
3.75
Satsuki Yamashita
published
3.74
Christina Islas
published 4
3.74
Karen Vidal
published
3.72
Kelly Moss
published
3.70
Roseann DeRosa
usually #2 Doubles 60%, also #1 Doubles 40% · published 4
3.68
Theona Zhordania
usually #1 Doubles 67%, also #2 Doubles 33% · published 4
3.63
Gloria Ziperovich
usually #2 Singles 75%, also #1 Doubles 25% · published 4
3.54
Holly Lieberenz
usually #2 Doubles 100% · published
3.48
Elena Salinas
published 4
3.46
Sylvia DSouza
usually #3 Doubles 50%, also #1 Doubles 50% · published 4
3.33
Jenniffer Wong
published 3.5
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.

Roseann DeRosa + Gloria Ziperovich9354% games+6.5% vs expected
Claudia Ibarra + Roseann DeRosa11952% games+5.9% vs expected
Claudia Ibarra + Elena Salinas20459% games+5.8% vs expected
Monique Lind + Theona Zhordania5353% games+3.7% vs expected
Theona Zhordania + Roseann DeRosa191651% games+1.2% vs expected
Holly Lieberenz + Theona Zhordania4647% games−3.7% vs expected
Sylvia DSouza + Gloria Ziperovich4943% gamesnot enough data
Holly Lieberenz + Roseann DeRosa5457% gamesnot 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 2023
6%92%2%
4.22
4.5
Demi Dang
1W–3L career · no lines in 2023
9%90%1%
4.19
4
Claudia Ibarra
97W–62L career · no lines in 2023
1%86%13%
3.84
Xiaochun Wang
4W–0L career · no lines in 2023
2%92%5%
3.78
4
Monique Lind
54W–39L career · 3 lines in 2023
4%93%4%
3.75
Satsuki Yamashita
4W–3L 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
Karen Vidal
25W–9L career · no lines in 2023
0%<1%>99%
3.74
Kelly Moss
8W–8L career · no lines in 2023
6%92%2%
3.72
4
Roseann DeRosa
162W–106L career · 5 lines in 2023
8%91%2%
3.70
4
Theona Zhordania
117W–121L career · 6 lines in 2023
10%89%1%
3.68
4
Gloria Ziperovich
81W–81L career · 4 lines in 2023
17%83%<1%
3.63
Holly Lieberenz
168W–125L career · 2 lines in 2023
38%61%<1%
3.54
4
Elena Salinas
140W–158L career · no lines in 2023
55%45%<1%
3.48
4
Sylvia DSouza
110W–97L career · 2 lines in 2023
61%39%<1%
3.46
3.5
Jenniffer Wong
200W–169L career · no lines in 2023
1%88%11%
3.33
Julia Campbell
2W–2L career · no lines in 2023
not enough data
Julia Sargsyan
1W–1L 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.