Teams

SGV Queens of the Court- Vuong-Arroyo Seco/SU4

2024 SoCal Doubles 18 & Over - San Gabriel Valley · SGV - Women 4.0

10 players · average NTRP 4.00 / SO.CALIFORNIA

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Schedule7 played
L#1 DoublesDeborah Babineau / Rumduol Vuong vs Trish Newlin / Shannon Sapp1-6, 6-1, 0-1
L#1 DoublesDeborah Babineau / Rumduol Vuong vs Dana Boyan / Mindy Pfenning1-6, 1-6
L#1 DoublesDiana Rochford / Deborah Babineau vs Katie Tong / Amy Newhall6-1, 5-7, 0-1
W#1 DoublesDeborah Babineau / Diana Rochford vs Linda Kroff / Pamela Rosenberg6-4, 6-0
W#3 DoublesIndia Mandelkern / Cristina Padron vs Regina Cheung / Laura Laun7-5, 6-4
L#1 DoublesIndia Mandelkern / Diana Rochford vs Tess de Los Reyes / Penapa Frick6-4, 3-6, 0-1
L#3 DoublesDeborah Babineau / Elizabeth Hall vs Irina Abadzheva / Rebecca Stokes5-7, 2-6
L#1 DoublesRumduol Vuong / Deborah Babineau vs Monique Lind / Daniela Chung4-6, 0-6
L#2 DoublesKaren Suzuki / Nat Newton vs Christina Islas / Theona Zhordania3-6, 6-7
2024-09-22vs SGV Dare Doubles-Hofstad-WN/SULost 02
L#1 DoublesRumduol Vuong / Deborah Babineau vs Yolanda Barocio / Ellie Wei7-6, 4-6, 0-1
L#3 DoublesIndia Mandelkern / Diana Rochford vs Cara Hofstad / Ying Li5-7, 4-6
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 3.69 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.

4.11
Karen Suzuki
usually #2 Doubles 100% · published 4.5
3.89
Diana Rochford
published 4
3.69
Deborah Babineau
usually #1 Doubles 86%, also #3 Doubles 14% · published 4
3.68
Jenny Isaacson
published
3.65
Darlene Scott
published 4
3.58
Rumduol Vuong
usually #1 Doubles 100% · published 4
3.57
Nat Newton
published
3.54
Cristina Padron
published 3.5
3.52
India Mandelkern
usually #3 Doubles 67%, also #1 Doubles 33% · published 4
Stephanie Peters
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.

Rumduol Vuong + Deborah Babineau131648% games+2.1% vs expected
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
Karen Suzuki
86W–68L career · type A · 1 line in 2024
21%79%<1%
4.11
4
Diana Rochford
22W–12L career · no lines in 2024
<1%79%21%
3.89
4
Deborah Babineau
108W–119L career · 7 lines in 2024
9%90%1%
3.69
Jenny Isaacson
21W–19L career · no lines in 2024
10%89%1%
3.68
4
Darlene Scott
1W–5L career · no lines in 2024
14%86%1%
3.65
4
Rumduol Vuong
57W–56L career · 4 lines in 2024
29%71%<1%
3.58
Nat Newton
6W–5L career · no lines in 2024
30%70%<1%
3.57
3.5
Cristina Padron
12W–16L career · no lines in 2024
<1%38%62%
3.54
4
India Mandelkern
41W–40L career · 3 lines in 2024
45%55%<1%
3.52
Stephanie Peters
0W–2L career · no lines in 2024
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.