Teams

SGV Queens of the Court-Yu-Arroyo Seco/SA4

2023 SoCal Doubles 18 & Over - San Gabriel Valley · SGV - Women 3.5

16 players · average NTRP 3.62 / SO.CALIFORNIA

View scouting list →
Schedule2 played
W#1 DoublesRumduol Vuong / Deborah Babineau vs Lorena Manriquez / Kathleen McDowell6-1, 6-4
W#2 DoublesCristina Padron / Mindy Schiffman vs Georgia de Los Santos / Hae Oh6-3, 4-6, 1-0
L#1 DoublesMindy Schiffman / Emily Taylor vs Katrina Leong / Serena Tseng6-7, 7-6, 0-1
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 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 3.16 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.

3.69
Deborah Babineau
usually #1 Doubles 100% · published 4
3.65
Darlene Scott
published 4
3.58
Rumduol Vuong
published 4
3.54
Cristina Padron
published 3.5
3.26
Mindy Schiffman
usually #3 Doubles 50%, also #1 Doubles 25% · published 3.5
3.21
Annemarie Schnedler
published 3.5
3.16
Danette Stein
published 3.5
3.15
Makiko Sato
published
3.13
Sanja Morris
published
3.07
2.91
Andrea Fruits
published 3
2.87
Felicia Yu
published
2.73
Johanna Baumann
published
2.73
Susan Biales
published
2.72
Sharon Spangler
published
Juliet Amenta
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
Sharon Spangler + Andrea Fruits224 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
Deborah Babineau
108W–119L career · 1 line in 2023
9%90%1%
3.69
4
Darlene Scott
1W–5L career · no lines in 2023
14%86%1%
3.65
4
Rumduol Vuong
57W–56L career · no lines in 2023
29%71%<1%
3.58
3.5
Cristina Padron
12W–16L career · no lines in 2023
<1%38%62%
3.54
3.5
Mindy Schiffman
84W–100L career · 4 lines in 2023
3%93%4%
3.26
3.5
Annemarie Schnedler
6W–13L career · no lines in 2023
7%91%2%
3.21
3.5
Danette Stein
4W–5L career · no lines in 2023
13%87%1%
3.16
Makiko Sato
2W–2L career · no lines in 2023
15%85%1%
3.15
Sanja Morris
2W–1L career · no lines in 2023
17%82%<1%
3.13
Janna Conner-Niclaes
4W–8L career · no lines in 2023
<1%30%70%
3.07
3
Andrea Fruits
15W–13L career · no lines in 2023
<1%75%25%
2.91
Felicia Yu
0W–9L career · no lines in 2023
82%18%<1%
2.87
Johanna Baumann
9W–18L career · no lines in 2023
5%92%3%
2.73
Susan Biales
7W–3L career · no lines in 2023
5%92%3%
2.73
Sharon Spangler
8W–16L career · no lines in 2023
5%92%2%
2.72
Juliet Amenta
0W–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.