Teams

SGV LLW Chow Fun-Chow-Arroyo HS/ SA10

2025 Adult Division - 40& Over San Gabriel Valley · SGV - Women 3.5

16 players · average NTRP 3.50 / 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 standings for SGV - Women 3.5 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 3.29 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.

3.70
Yu Liu
published
3.52
Veronica Saucedo
usually #1 Singles 57%, also #3 Doubles 43% · published 4
3.50
LINH LEE
published
3.47
Bu Kum Kim
usually #2 Doubles 50%, also #1 Doubles 50% · published 3.5
3.44
Karen Obst
published
3.40
Jasmine M Liu
published
3.35
Keiko Jun
published
3.34
Kiyomi Fisher
usually #3 Doubles 50%, also #1 Doubles 33% · published 3.5
3.33
Jacquetta Perkins
usually #3 Doubles 67%, also #2 Doubles 33% · published 3.5
3.31
Alisa MacKey
published 3.5
3.29
Quynh Nghiem
published
3.20
Hitomi Kawasaki
usually #2 Doubles 67%, also #3 Doubles 33% · published 3.5
3.13
Helen Garner
usually #3 Doubles 67%, also #2 Doubles 33% · published 3.5
3.08
Regina Gov
published
2.91
Tanya Robinson
published
2.62
Josephine Chow
usually #3 Doubles 57%, also #2 Doubles 43% · published 3
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.

Kiyomi Fisher + Tanya Robinson6844% games+6.2% vs expected
Bu Kum Kim + Veronica Saucedo8074% gamesnot enough data
Josephine Chow + Hitomi Kawasaki134 matchesnot enough data
Regina Gov + Quynh Nghiem224 matchesnot enough data
Bu Kum Kim + Jasmine M Liu404 matchesnot enough data
Jacquetta Perkins + Helen Garner303 matchesnot enough data
LINH LEE + Jasmine M Liu303 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.

Yu Liu
17W–8L career · no lines in 2025
7%91%2%
3.70
4
Veronica Saucedo
145W–113L career · 7 lines in 2025
45%55%<1%
3.52
LINH LEE
18W–6L career · no lines in 2025
<1%50%50%
3.50
3.5
Bu Kum Kim
122W–40L career · 4 lines in 2025
<1%58%42%
3.47
Karen Obst
0W–5L career · no lines in 2025
67%33%<1%
3.44
Jasmine M Liu
22W–8L career · no lines in 2025
<1%77%23%
3.40
Keiko Jun
14W–11L career · no lines in 2025
1%85%15%
3.35
3.5
Kiyomi Fisher
87W–140L career · 6 lines in 2025
1%86%13%
3.34
3.5
Jacquetta Perkins
24W–14L career · 3 lines in 2025
1%88%11%
3.33
3.5
Alisa MacKey
3W–5L career · no lines in 2025
1%90%9%
3.31
Quynh Nghiem
8W–7L career · no lines in 2025
2%92%6%
3.29
3.5
Hitomi Kawasaki
125W–139L career · 3 lines in 2025
7%91%2%
3.20
3.5
Helen Garner
46W–46L career · 3 lines in 2025
19%81%<1%
3.13
Regina Gov
4W–5L career · no lines in 2025
27%73%<1%
3.08
Tanya Robinson
8W–14L career · no lines in 2025
0%<1%>99%
2.91
3
Josephine Chow
145W–299L career · 7 lines in 2025
20%80%<1%
2.62

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.