Teams

LLW SGV Queens of the Court-Fruits-Arroyo Seco/SU4

2023 SoCal Doubles 18 & Over - San Gabriel Valley · SGV - Women 3.0

14 players · average NTRP 3.12 / SO.CALIFORNIA

View scouting list →
Schedule5 played
W#1 DoublesChristina Buckley / Lilly Shuton vs Juliette Roberts / Mylinh Crew6-0, 6-3
2023-10-29Won 10
W#1 DoublesLilly Shuton / Cathy Lee vs Karissa Chabner Adams / Rani Ranade6-2, 6-2
L#3 DoublesCamille Farnsworth / Eliza Llobrera vs Stefany M Pesta / Val Escobar2-6, 5-7
W#1 DoublesTeryl Murphy / Lilly Shuton vs Bianca Li / Juliette Roberts6-4, 6-1
L#2 DoublesEliza Llobrera / DARCELIA WILSON vs Veronica Cole / Cindy Hernandez6-4, 3-6, 1-0
2023-09-24vs SGV Dare Doubles-Flores-WN/SA2Won 10
W#3 DoublesMichaela Humby / Lilly Shuton vs Sophia Chang / Alice Dubois6-0, 6-3
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 2.97 estimated across 14 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
Summer Williamson
published
3.21
Annemarie Schnedler
published 3.5
3.15
Makiko Sato
published
3.13
Sanja Morris
published
3.04
Lilly Shuton
usually #1 Doubles 75%, also #3 Doubles 25% · published 3.5
3.00
Trecia Mendoza
published
2.96
DARCELIA WILSON
published 3
2.91
May Low
published 3
2.91
Andrea Fruits
published 3
2.77
Teryl Murphy
published
2.77
Eliza Llobrera
usually #2 Doubles 50%, also #3 Doubles 50% · published 3
2.70
2.67
Irene Zaragoza
published
2.64
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.

DARCELIA WILSON + Trecia Mendoza9264% games+6.8% 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.

Summer Williamson
48W–26L career · no lines in 2023
0%<1%>99%
3.69
3.5
Annemarie Schnedler
6W–13L career · no lines in 2023
7%91%2%
3.21
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
3.5
Lilly Shuton
90W–82L career · 4 lines in 2023
39%61%<1%
3.04
Trecia Mendoza
13W–5L career · no lines in 2023
<1%49%51%
3.00
3
DARCELIA WILSON
12W–7L career · no lines in 2023
<1%61%38%
2.96
3
May Low
28W–22L career · no lines in 2023
<1%74%26%
2.91
3
Andrea Fruits
15W–13L career · no lines in 2023
<1%75%25%
2.91
Teryl Murphy
4W–2L career · no lines in 2023
3%92%5%
2.77
3
Eliza Llobrera
121W–89L career · 2 lines in 2023
3%92%5%
2.77
3
Camille Farnsworth
3W–5L career · no lines in 2023
7%91%2%
2.70
Irene Zaragoza
4W–2L career · no lines in 2023
12%87%1%
2.67
3
Christina Buckley
1W–6L career · no lines in 2023
16%84%1%
2.64

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.