Teams

SGV Old Gummies-Manley-Arroyo high/SU8

2025 Adult Division - 40& Over San Gabriel Valley · SGV - Women 4.0

14 players · average NTRP 3.70 / 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 4.0 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 3.35 estimated across 12 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.

Cristine Kim
published 4
3.70
Jenna Parker
published
3.63
Madeline Chang
published
3.57
Amy Hasquet
usually #3 Doubles 50%, also #1 Doubles 25% · published 4
3.46
Laurie Manley
published
3.44
Lisa Lerg
published
3.41
Maryann Yamamoto
published
3.40
Gladys Tan
published
3.34
Kiyomi Fisher
usually #3 Doubles 50%, also #1 Doubles 33% · published 3.5
3.15
Jane Caldito
usually #1 Doubles 67%, also #3 Doubles 33% · published 3.5
3.10
Sabrina Wedge
published
3.06
Mae Huey
usually #3 Doubles 75%, also #1 Singles 25% · published 3.5
2.91
Tanya Robinson
published
Jessie Zhang
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.

Kiyomi Fisher + Tanya Robinson6844% games+6.2% vs expected
Amy Hasquet + Jane Caldito2340% gamesnot enough data
Mae Huey + Maryann Yamamoto044 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
Cristine Kim
1W–0L career · no lines in 2025
not enough data
Jenna Parker
6W–3L career · no lines in 2025
8%91%2%
3.70
Madeline Chang
27W–4L career · no lines in 2025
<1%<1%>99%
3.63
4
Amy Hasquet
92W–169L career · 4 lines in 2025
30%70%<1%
3.57
Laurie Manley
8W–9L career · no lines in 2025
61%39%<1%
3.46
Lisa Lerg
3W–1L career · no lines in 2025
<1%67%33%
3.44
Maryann Yamamoto
0W–3L career · no lines in 2025
75%25%<1%
3.41
Gladys Tan
3W–9L career · no lines in 2025
<1%77%23%
3.40
3.5
Kiyomi Fisher
87W–140L career · 6 lines in 2025
1%86%13%
3.34
3.5
Jane Caldito
102W–106L career · 3 lines in 2025
15%85%1%
3.15
Sabrina Wedge
2W–15L career · no lines in 2025
24%76%<1%
3.10
3.5
Mae Huey
18W–86L career · 4 lines in 2025
33%67%<1%
3.06
Tanya Robinson
8W–14L career · no lines in 2025
0%<1%>99%
2.91
Jessie Zhang
0W–1L career · no lines in 2025
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.