Teams

Toluca Lake Swans/Marsden/Toluca

2026 SoCal Doubles 18+ SFV Fall · SFV 18 & Over - Women 4.0

18 players · average NTRP 3.83 / SO.CALIFORNIA

No matches recorded for this roster in this league — it may be a placeholder registration, or the season may not have started.

View scouting list →
Flight standings7 teams · SFV 18 & Over - Women 4.0
TeamWLInd. WInd. LSets lostGames lost
1Thirsty Girls/Rivera/MHCC000000
2Shot Girls/Evans/Paseo000000
3Team Corbin/Corbin/MHCC000000
4Toluca Lake Swans/Marsden/Toluca000000
5WE Terminetters/Bennett/Fremont000000
6Calabasas Aces/Durrant-Tang/Calabasas000000
7FLoBs/Galvagni-deCastro/Scholl000000

Ordered by team wins, then losses, then sets lost — the order USTA uses to seed a flight. Individual wins are lines, not ties.

See the full flight, with every team’s record

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 3.59 estimated across 18 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.

4.09
Danelle Geller
published 4
3.80
Karin Hoesli
published
3.77
Nickie Huai
published 4
3.75
Page Weissmann
published
3.74
Sarah Brownstein
published
3.73
Lena Bouton
published 4
3.72
Debie Marsden
published 4
3.71
Ellen Plummer
published
3.64
Lisa Klingenberg
published
3.64
Aubrey Karr
published 4
3.57
Tori Katz
published 3.5
3.53
Megan Pennie
published
3.52
Parisa Talebian
published
3.48
Elena Salinas
published 4
3.30
Kiska Higgs
published
3.28
Alicia Harris
published 3.5
3.25
Aparna Bhargava
published 3.5
3.10
Panney Wei
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.

Parisa Talebian + Karin Hoesli7259% games+14.8% vs expected
Lisa Klingenberg + Danelle Geller21364% games+7.0% vs expected
Lena Bouton + Aubrey Karr4260% games+3.8% vs expected
Tori Katz + Aparna Bhargava4548% games+3.6% vs expected
Lena Bouton + Elena Salinas3444% games−2.0% vs expected
Aubrey Karr + Nickie Huai3444% games−8.7% vs expected
Aparna Bhargava + Alicia Harris123 matchesnot enough data
Debie Marsden + Karin Hoesli303 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
Danelle Geller
28W–4L career · no lines in 2026
<1%26%74%
4.09
Karin Hoesli
13W–5L career · no lines in 2026
2%91%8%
3.80
4
Nickie Huai
128W–72L career · no lines in 2026
3%92%5%
3.77
Page Weissmann
2W–1L career · no lines in 2026
3%93%4%
3.75
Sarah Brownstein
10W–8L career · no lines in 2026
5%92%3%
3.74
4
Lena Bouton
81W–62L career · no lines in 2026
5%92%3%
3.73
4
Debie Marsden
17W–10L career · no lines in 2026
6%92%2%
3.72
Ellen Plummer
9W–14L career · no lines in 2026
6%92%2%
3.71
Lisa Klingenberg
25W–4L career · no lines in 2026
<1%<1%>99%
3.64
4
Aubrey Karr
10W–14L career · no lines in 2026
16%84%1%
3.64
3.5
Tori Katz
24W–18L career · no lines in 2026
<1%32%68%
3.57
Megan Pennie
8W–6L career · no lines in 2026
<1%<1%>99%
3.53
Parisa Talebian
8W–4L career · no lines in 2026
<1%<1%>99%
3.52
4
Elena Salinas
140W–158L career · no lines in 2026
55%45%<1%
3.48
Kiska Higgs
6W–12L career · no lines in 2026
2%91%8%
3.30
3.5
Alicia Harris
24W–21L career · no lines in 2026
2%92%6%
3.28
3.5
Aparna Bhargava
66W–94L career · no lines in 2026
4%93%4%
3.25
Panney Wei
5W–17L career · no lines in 2026
24%76%<1%
3.10

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.