Teams

LA - Queen Anne 3.0W

2024 SoCal Doubles - LA · LA - Women 3.0

12 players · average NTRP 3.50 / SO.CALIFORNIA

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Schedule5 played
2024-10-26vs LA - JBeesLost 01
L#2 DoublesSirin Sanglimsuwan / Krista Li vs Kara Brevet / Paige Triplett4-6, 1-6
L#1 DoublesSirin Sanglimsuwan / Erica Eastrich vs Ana Franco / Tanya Kripalani1-6, 1-6
2024-10-05vs LA - Canyon Coyotes 3.0Won 10
W#1 DoublesTara Zinnamon / Sirin Sanglimsuwan vs Soleil Blaize / Rebeka St. Michel3-6, 7-5, 1-0
2024-09-28vs LA - Mulholland DriversLost 01
L#1 DoublesAndrea Dunlop / Sirin Sanglimsuwan vs Kathleen Hipps / Anisha Pattanaik5-7, 4-6
2024-09-22vs LA - Lady AcesWon 10
W#1 DoublesFemke Maassen / Sirin Sanglimsuwan vs Tsion Dawit / Mikel Davis6-2, 6-0
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 LA - 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 3.06 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.

3.88
Charlotte Gray
published 4
3.43
Tara Zinnamon
published 3.5
3.21
Halle Mariner
published
3.18
Caitlin Neuville
published 3.5
3.13
Andrea Dunlop
published 3.5
3.11
Erica Eastrich
published
3.03
Krista Li
published
2.88
Sirin Sanglimsuwan
usually #1 Doubles 80%, also #2 Doubles 20% · published 3
2.78
Karen Pang
published
2.77
Miranda House
published
2.68
Kimberly Toney
published
2.65
Molly Jackson
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.

Tara Zinnamon + Caitlin Neuville4171% gamesnot enough data
Miranda House + Sirin Sanglimsuwan213 matchesnot enough data
Sirin Sanglimsuwan + Krista Li213 matchesnot enough data
Sirin Sanglimsuwan + Caitlin Neuville123 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
Charlotte Gray
12W–3L career · type A · no lines in 2024
<1%80%20%
3.88
3.5
Tara Zinnamon
55W–18L career · no lines in 2024
<1%68%32%
3.43
Halle Mariner
6W–14L career · no lines in 2024
6%92%2%
3.21
3.5
Caitlin Neuville
46W–12L career · no lines in 2024
10%89%1%
3.18
3.5
Andrea Dunlop
12W–14L career · type A · no lines in 2024
17%82%<1%
3.13
Erica Eastrich
15W–12L career · no lines in 2024
22%78%<1%
3.11
Krista Li
10W–5L career · no lines in 2024
<1%42%58%
3.03
3
Sirin Sanglimsuwan
63W–53L career · 5 lines in 2024
<1%80%19%
2.88
Karen Pang
9W–11L career · no lines in 2024
2%92%6%
2.78
Miranda House
4W–8L career · no lines in 2024
3%92%5%
2.77
Kimberly Toney
10W–9L career · no lines in 2024
10%89%1%
2.68
Molly Jackson
14W–16L career · no lines in 2024
14%85%1%
2.65

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.