Teams

LA-LLW-Dare Doubles-Karen Chou

2023 SoCal Doubles - LA · LA - Women 3.0

18 players · average NTRP 3.25 / SO.CALIFORNIA

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Schedule3 played
2023-12-09vs LA - Queen Anne 3.0WWon 10
W#1 DoublesJennifer Foley / Hilary Marx vs Cinderella Gatcheco / Eriana Blankinship6-2, 6-1
2023-11-19vs LA - Tightly StrungWon 10
W#1 DoublesJennifer Foley / Hilary Marx vs Beryl Mendelson / Michele Moshay6-0, 6-1
2023-09-10vs LA - MountainGateLost 01
L#2 DoublesJennifer Foley / Hilary Marx vs Katy Burgess / Sheila Vasan2-6, 3-6
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 3.0 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 2.92 estimated across 16 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.

3.74
Hilary Marx
usually #2 Doubles 50%, also #1 Doubles 40% · published 4
3.61
Janina Morrison
published
3.48
Brenda King
published 3.5
3.26
Anne Tate
published 3.5
3.11
Dorothy Kim
published 3.5
3.10
Karen Chou
published
2.96
Gloria Chang
published 3
2.95
Elena Howell
published 3
2.92
2.79
MayLin Tao
published
2.75
Stefanie Hall
published
2.68
Nicki Jaeger
published
2.63
Renee Mochkatel
published
2.43
Liz Rosman
published
2.29
2.08
Corinna Cherian
published 2.5
Shauna Cross
published
Taylor Phillips
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.

Eleanor DeMartino + Elena Howell2439% games−8.8% 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.

4
Hilary Marx
114W–31L career · 10 lines in 2023
3%94%2%
3.74
Janina Morrison
9W–7L career · no lines in 2023
20%80%<1%
3.61
3.5
Brenda King
16W–5L career · no lines in 2023
<1%56%44%
3.48
3.5
Anne Tate
2W–5L career · no lines in 2023
2%94%3%
3.26
3.5
Dorothy Kim
3W–4L career · no lines in 2023
20%80%<1%
3.11
Karen Chou
7W–8L career · no lines in 2023
22%78%<1%
3.10
3
Gloria Chang
9W–10L career · no lines in 2023
<1%63%37%
2.96
3
Elena Howell
11W–11L career · no lines in 2023
<1%64%36%
2.95
3
Eleanor DeMartino
13W–12L career · no lines in 2023
<1%72%28%
2.92
MayLin Tao
6W–3L career · no lines in 2023
1%94%5%
2.79
Stefanie Hall
5W–11L career · no lines in 2023
3%95%2%
2.75
Nicki Jaeger
12W–5L career · no lines in 2023
9%91%1%
2.68
Renee Mochkatel
3W–4L career · no lines in 2023
16%84%<1%
2.63
Liz Rosman
19W–13L career · no lines in 2023
0%69%31%
2.43
Raquelle de la Rocha
16W–10L career · no lines in 2023
0%95%5%
2.29
2.5
Corinna Cherian
3W–2L career · no lines in 2023
0%>99%<1%
2.08
Shauna Cross
10W–4L career · no lines in 2023
not enough data
Taylor Phillips
1W–0L 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.