Teams

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

2022 Tri-Level League - San Gabriel Valley · SGV - Women 3.0

13 players · average NTRP 3.72 / SO.CALIFORNIA

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Schedule5 played
2022-09-18Lost 01
L#1 DoublesAni Aratounians / Vannia de la Cuba vs Cynthia Garcia / Karla Garcia1-6, 0-6
2022-08-27Won 10
W#1 DoublesRebecca Escandon / Summer Shelton vs Chia Chi Tsai / Roseann DeRosa7-5, 6-4
2022-08-21Lost 01
L#1 DoublesAni Aratounians / Elizabeth Hall vs Jasmine Dai / Jane Wang0-6, 1-6
L#1 DoublesAni Aratounians / Rebecca Escandon vs Irina Abadzheva / Danielle Perrigue7-6, 4-6, 0-1
W#1 DoublesRebecca Escandon / Summer Shelton vs Christie Boniface / Cynthia Garcia6-4, 6-4
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 3.0 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 3.32 estimated across 12 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.

3.80
Rebecca Escandon
usually #1 Doubles 100% · published 4
3.72
Deborah Babineau
published 4
3.63
Rumduol Vuong
published 4
3.62
Darlene Scott
published 4
3.57
Cristina Padron
published 3.5
3.35
Ani Aratounians
usually #1 Doubles 100% · published 4
3.29
Mindy Schiffman
usually #3 Doubles 50%, also #2 Doubles 50% · published 3.5
3.15
Makiko Sato
published
3.15
Sanja Morris
published
2.92
Andrea Fruits
published 3
2.87
Felicia Yu
published 3.5
2.74
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+4.3% 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
Rebecca Escandon
158W–86L career · 3 lines in 2022
1%92%7%
3.80
4
Deborah Babineau
108W–119L career · no lines in 2022
4%94%2%
3.72
4
Rumduol Vuong
57W–56L career · no lines in 2022
15%84%<1%
3.63
4
Darlene Scott
1W–5L career · no lines in 2022
18%82%<1%
3.62
3.5
Cristina Padron
12W–16L career · no lines in 2022
<1%29%71%
3.57
4
Ani Aratounians
73W–121L career · 3 lines in 2022
87%13%<1%
3.35
3.5
Mindy Schiffman
84W–100L career · 6 lines in 2022
1%93%5%
3.29
Makiko Sato
2W–2L career · no lines in 2022
12%88%<1%
3.15
Sanja Morris
2W–1L career · no lines in 2022
12%87%<1%
3.15
3
Andrea Fruits
15W–13L career · no lines in 2022
<1%74%26%
2.92
3.5
Felicia Yu
0W–9L career · no lines in 2022
83%17%<1%
2.87
Sharon Spangler
8W–16L career · no lines in 2022
3%94%2%
2.74
Juliet Amenta
0W–1L 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.