Teams

SGV 4ever21 - Chow - WN/SU10

2022 Adult Division - 40& Over San Gabriel Valley · SGV - Women 4.0

12 players · average NTRP 3.72 / 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 3.55 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.

4.13
Hatty Yip
usually #1 Doubles 83%, also #2 Doubles 17% · published 4
3.97
Dana Boyan
usually #1 Doubles 100% · published 4
3.82
Judy Su
published
3.80
Rebecca Escandon
usually #1 Singles 25%, also #2 Doubles 25% · published 4
3.76
Stacey Iwata
usually #1 Doubles 60%, also #3 Doubles 20% · published 4
3.75
Lorene Miller
usually #2 Doubles 50%, also #1 Doubles 33% · published 4
3.73
Krislea Manuva
published
3.59
Joanna Aguinaldo
published
3.33
Alisa MacKey
published 3.5
3.06
Elena Saydah
usually #3 Doubles 100% · published 3.5
3.06
Holly Birdsell
published 3.5
2.63
Josephine Chow
usually #3 Doubles 100% · 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.

Lorene Miller + Stacey Iwata603753% games+3.1% vs expected
Hatty Yip + Dana Boyan6167% gamesnot 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
Hatty Yip
99W–33L career · 6 lines in 2022
<1%16%84%
4.13
4
Dana Boyan
177W–81L career · 3 lines in 2022
<1%59%41%
3.97
Judy Su
11W–7L career · no lines in 2022
1%91%8%
3.82
4
Rebecca Escandon
158W–86L career · 4 lines in 2022
1%92%7%
3.80
4
Stacey Iwata
87W–60L career · 5 lines in 2022
2%94%3%
3.76
4
Lorene Miller
95W–69L career · 6 lines in 2022
2%95%3%
3.75
Krislea Manuva
2W–3L career · no lines in 2022
4%94%2%
3.73
Joanna Aguinaldo
0W–3L career · no lines in 2022
24%76%<1%
3.59
3.5
Alisa MacKey
3W–5L career · no lines in 2022
1%90%9%
3.33
3.5
Elena Saydah
123W–79L career · 3 lines in 2022
32%68%<1%
3.06
3.5
Holly Birdsell
1W–2L career · no lines in 2022
34%66%<1%
3.06
3
Josephine Chow
145W–300L career · 2 lines in 2022
15%84%<1%
2.63

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.