Teams

SGV Arcadia Aces-Li-Arcadia-SU5

2026 SoCal Doubles 18 & Over - San Gabriel Valley · SGV - Women 3.0

11 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 →
Flight standings13 teams · SGV - Women 3.0
TeamWLInd. WInd. LSets lostGames lost
1SGV FLoBS-Hyon-Scholl CYN/SA11000000
2SGV Rally Girls-Hawkins-Claremont Club/ Su8000000
3SGV Queens of the Court-Jones-Arroyo Seco/SU4000000
4SGV Hot Tub Tennis Club-Nowacki-WN/TBD000000
5SGV Ball Hogs-Yip-Arroyo Seco/SA4000000
6SGV Rebelettes-McNulty-Dawson Park/SA2000000
7SGV Tennis Addicts Hamilton-S Chang-Arroyo HS-SA8000000
8SGV Deuces Wild-Shen-Scholl Cyn-SA1000000
9SGV ATCC Phoenix-Woo-ATCC/ SU3000000
10SGV Arcadia Aces-Li-Arcadia-SU5000000
11SGV Always On the Line-Hong-WN/SA2000000
12SGV The XC-Kim-WN/SU8000000
13SGV HFA Grand Slam Baddies-Vanda-Downey HS/SA8000000

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 2.83 estimated across 11 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.

3.17
Malaya Ho
published
3.15
Julia Arnold
published
3.08
Su Li
published
2.85
Alena Ananyeva
published 3
2.85
Connie Chu
published 3
2.78
Joyce Zhu
published
2.71
Barb Vetterick
published 3
2.70
Grace Moss
published
2.69
Jenny Loi
published
2.65
Esther Fernandez
published
2.56
Gloria Cardoza
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
Connie Chu + Esther Fernandez2444% games+1.5% vs expected
Su Li + Barb Vetterick224 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.

Malaya Ho
25W–11L career · no lines in 2026
<1%11%89%
3.17
Julia Arnold
33W–10L career · no lines in 2026
<1%15%85%
3.15
Su Li
32W–26L career · no lines in 2026
<1%28%72%
3.08
3
Alena Ananyeva
17W–8L career · no lines in 2026
1%85%15%
2.85
3
Connie Chu
2W–5L career · type S · no lines in 2026
1%85%14%
2.85
Joyce Zhu
10W–18L career · no lines in 2026
2%92%6%
2.78
3
Barb Vetterick
8W–11L career · no lines in 2026
7%91%2%
2.71
Grace Moss
1W–3L career · no lines in 2026
7%91%2%
2.70
Jenny Loi
1W–3L career · no lines in 2026
9%90%1%
2.69
Esther Fernandez
5W–7L career · no lines in 2026
15%84%1%
2.65
Gloria Cardoza
7W–8L career · no lines in 2026
34%66%<1%
2.56

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.