Teams

SGV LLW Arcadia Apex-Li-Arcadia-SA3

2025 SoCal FALL Team Singles · SGV - Women 3.0

7 players · average NTRP 3.00 / 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 →
Schedule6 played
2025-11-22vs SGV Deuces Wild-Shen-Scholl/SA11Won 30
W#1 SinglesSu Li vs Kaihong Su6-2, 6-0
W#2 SinglesJulia Arnold vs Austen Rachlis6-1, 6-2
W#3 SinglesSydney Angrand vs Sandra Arroyo6-3, 3-6, 1-0
W#1 SinglesSu Li vs Pauline Mauro6-1, 6-0
W#2 SinglesJean Oh vs Elizabeth Woo6-1, 6-0
L#3 SinglesAngela Leung vs Katherine Tygart2-6, 0-6
2025-10-25vs SGV Deuces Wild-Shen-Scholl/SA11Won 30
W#1 SinglesJulia Arnold vs Malaya Ho7-6, 6-1
W#2 SinglesAlena Ananyeva vs Annie Pham6-3, 6-1
W#3 SinglesYuxi Meng vs Sandra Liu6-1, 6-3
2025-10-18vs SGV Spin Doctors-Lee-Flint CYN-SA4Lost 03
L#1 SinglesJean Oh vs Kathleen Makarewicz0-6, 0-6
L#2 SinglesSydney Angrand vs Tina Lu6-4, 4-6, 0-1
L#3 SinglesYuxi Meng vs Katherine Tygart2-6, 6-4, 0-1
2025-10-04vs SGV Deuces Wild-Shen-Scholl/SA11Won 30
W#1 SinglesSu Li vs Jessie Do6-1, 6-2
W#2 SinglesAlena Ananyeva vs Assel Kudabayeva6-0, 6-3
W#3 SinglesYuxi Meng vs Stacey McCarroll6-2, 6-4
W#1 SinglesJulia Arnold vs Tina Lu6-4, 6-2
W#2 SinglesAlena Ananyeva vs Pauline Mauro6-7, 6-0, 1-0
W#3 SinglesSydney Angrand vs Elizabeth Woo6-0, 6-4
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 2.93 estimated across 7 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.

3.15
Julia Arnold
usually #1 Singles 67%, also #2 Singles 33% · published
3.09
Sydney Angrand
usually #3 Singles 67%, also #2 Singles 33% · published
3.08
Su Li
usually #1 Singles 100% · published
2.85
Alena Ananyeva
usually #2 Singles 100% · published 3
2.85
Angela Leung
usually #3 Singles 100% · published 3
2.81
Jean Oh
usually #2 Singles 50%, also #1 Singles 50% · published
2.65
Yuxi Meng
usually #3 Singles 100% · 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.

Julia Arnold + Alena Ananyeva6259% games+4.7% 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.

Julia Arnold
33W–10L career · 3 lines in 2025
<1%15%85%
3.15
Sydney Angrand
7W–4L career · 3 lines in 2025
<1%27%73%
3.09
Su Li
32W–26L career · 3 lines in 2025
<1%28%72%
3.08
3
Alena Ananyeva
17W–8L career · 3 lines in 2025
1%85%15%
2.85
3
Angela Leung
30W–19L career · 1 line in 2025
1%85%15%
2.85
Jean Oh
7W–9L career · 2 lines in 2025
91%9%<1%
2.81
Yuxi Meng
8W–18L career · 3 lines in 2025
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.