Teams

LA - Downtown Aces 3.5

2025 SoCal Doubles - LA · LA - Women 3.5

14 players · average NTRP 3.29 / SO.CALIFORNIA

View scouting list →
Schedule4 played
2025-10-26vs LA - Canyon Coyotes 3.5WLost 01
L#2 DoublesFariba Navid / Kat Kim vs Shelly Cohen / Sara Tane4-6, 3-6
2025-10-11Won 10
W#3 DoublesKeum Ko / Lilly Shuton vs N/A6-0, 6-0
2025-09-21vs LA - Middy's AcesSplit 11
L#2 DoublesJessica Leong / Lilly Shuton vs Ali Laventhol / Christine Whigham1-6, 1-6
W#3 DoublesKat Kim / Sun Kim vs Jaimee Laisne / Jackie Larsen6-2, 6-2
2025-09-13vs LA - WeHo Slicers 3.5Lost 01
L#3 DoublesKeum Ko / Sun Kim vs Elizabeth Heitner / Tanya Kripalani1-6, 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 LA - 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 2.93 estimated across 13 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.

3.20
Lisa Yu
published
3.18
Lauri Brenner
published
3.18
Dianne Galindo
published 3.5
3.13
Claire Gibbs
published 3.5
3.12
Keum Ko
usually #3 Doubles 100% · published 3.5
3.08
Gillian Smith
published
3.04
Lilly Shuton
usually #2 Doubles 50%, also #3 Doubles 50% · published 3.5
2.89
Kat Kim
usually #3 Doubles 50%, also #2 Doubles 50% · published 3
2.88
Fariba Navid
published
2.73
Johanna Baumann
published
2.65
Jessica Leong
published
2.64
2.44
Andrea Crum
usually #3 Doubles 100% · published 3
Meredith Levine
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.

Keum Ko + Kat Kim3249% gamesnot enough data
Claire Gibbs + Johanna Baumann123 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.

Lisa Yu
6W–2L career · no lines in 2025
8%91%2%
3.20
Lauri Brenner
1W–8L career · no lines in 2025
9%89%1%
3.18
3.5
Dianne Galindo
1W–2L career · no lines in 2025
10%89%1%
3.18
3.5
Claire Gibbs
6W–14L career · no lines in 2025
17%82%<1%
3.13
3.5
Keum Ko
109W–69L career · 2 lines in 2025
20%80%<1%
3.12
Gillian Smith
4W–9L career · no lines in 2025
<1%30%70%
3.08
3.5
Lilly Shuton
90W–82L career · 2 lines in 2025
39%61%<1%
3.04
3
Kat Kim
50W–41L career · 2 lines in 2025
<1%79%21%
2.89
Fariba Navid
5W–7L career · no lines in 2025
80%20%<1%
2.88
Johanna Baumann
9W–18L career · no lines in 2025
5%92%3%
2.73
Jessica Leong
0W–5L career · no lines in 2025
15%85%1%
2.65
3
Christina Buckley
1W–6L career · no lines in 2025
16%84%1%
2.64
3
Andrea Crum
1W–5L career · type A · 1 line in 2025
66%34%<1%
2.44
Meredith Levine
2W–0L career · no lines in 2025
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.