Teams

SGV Queens of the Court-Yu-Arroyo Seco/SU4

2026 SoCal Doubles 18 & Over - San Gabriel Valley · SGV - Women 3.5

20 players · average NTRP 3.25 / 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 standings9 teams · SGV - Women 3.5
TeamWLInd. WInd. LSets lostGames lost
1SGV Queens of the Court-Yu-Arroyo Seco/SU4000000
2SGV Ball Hogs-Yip-Arroyo Seco/ SU2000000
3SGV Tennis Addicts- Tsai-Arroyo HS/SU8000000
4SGV Chow Fun- Chow-Arcadia-SA11000000
5SGV FLoBS-Galvagni-Scholl CYN/SU8000000
6SGV Spinners-Hegelund-Flint Cyn/SA12000000
7SGV Canyon Rollers-Shimizu-Freemont Park/SU000000
8SGV Ace Kickers-Hawkins-Claremont Club/SU11000000
9SGV Sloppy Topspin-Higuera-Downey HS/SA 8000000

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 3.04 estimated across 19 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.

3.57
Cristina Padron
published 3.5
3.52
Nancy Tran
published
3.26
3.23
Lisa Noah
published
3.20
Pei Fu
published 3.5
3.15
Makiko Sato
published
3.15
Sanja Morris
published
3.15
Yoko Kanayama
published
3.06
Jessica Guerrero
published
2.97
Andrea Jayasekera
published 3.5
2.96
DARCELIA WILSON
published 3
2.92
Andrea Fruits
published 3
2.87
Felicia Yu
published 3.5
2.87
Kelsey Mezzenga
published
2.84
Charissa Smith
published 3
2.81
Amirah Noaman
published 3
2.74
Johanna Baumann
published
2.74
Sharon Spangler
published
2.73
Marisa Oh
published
Juliet Amenta
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.

Lisa Noah + Jessica Guerrero2358% games+21.5% vs expected
Yoko Kanayama + Janna Conner-Niclaes1442% gamesnot enough data
Sharon Spangler + Andrea Fruits224 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.

3.5
Cristina Padron
12W–16L career · no lines in 2026
<1%29%71%
3.57
Nancy Tran
6W–7L career · no lines in 2026
<1%44%56%
3.52
Janna Conner-Niclaes
4W–8L career · no lines in 2026
2%94%3%
3.26
Lisa Noah
4W–5L career · no lines in 2026
4%94%2%
3.23
3.5
Pei Fu
85W–49L career · no lines in 2026
7%92%1%
3.20
Makiko Sato
2W–2L career · no lines in 2026
12%88%<1%
3.15
Sanja Morris
2W–1L career · no lines in 2026
12%87%<1%
3.15
Yoko Kanayama
5W–13L career · no lines in 2026
13%87%<1%
3.15
Jessica Guerrero
5W–7L career · no lines in 2026
33%67%<1%
3.06
3.5
Andrea Jayasekera
2W–5L career · no lines in 2026
59%41%<1%
2.97
3
DARCELIA WILSON
12W–7L career · no lines in 2026
<1%62%38%
2.96
3
Andrea Fruits
15W–13L career · no lines in 2026
<1%74%26%
2.92
3.5
Felicia Yu
0W–9L career · no lines in 2026
83%17%<1%
2.87
Kelsey Mezzenga
1W–3L career · no lines in 2026
84%16%<1%
2.87
3
Charissa Smith
18W–19L career · no lines in 2026
<1%88%11%
2.84
3
Amirah Noaman
1W–2L career · no lines in 2026
1%92%8%
2.81
Johanna Baumann
9W–18L career · no lines in 2026
3%95%2%
2.74
Sharon Spangler
8W–16L career · no lines in 2026
3%94%2%
2.74
Marisa Oh
10W–18L career · no lines in 2026
4%94%2%
2.73
Juliet Amenta
0W–1L career · no lines in 2026
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.