Teams

BAY CLUB SANTA CLARA 18AW3.5A

2022 ADULT 18&Over · Women's 3.5

18 players · average NTRP 3.43 / NO. 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 Women's 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 3.28 estimated across 18 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.

3.85
Julia Peng
published
3.75
Nadiia Gazda
published
3.68
Shelly Shen
published
3.43
Ginni Dhindsa
published 3.5
3.41
Twinee Madan
published
3.39
Sonia Whitfield
published
3.37
Elaine Roe
published 3.5
3.33
Christine Fronczak
published 3.5
3.25
Cathleen Ligman
published 3.5
3.25
Deena Elfar
published 3.5
3.19
Kay Yonemoto
published
3.15
Rae Chiang
published
3.11
Tatyana Borukhovich
published
3.11
Vera Parengkuan
published
3.10
Patrizia Fazeli
published
2.96
Corrine Fabie
published 3.5
2.94
2.82
Nancy Pizzo
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.

Kay Yonemoto + Ginni Dhindsa213 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.

Julia Peng
21W–11L career · no lines in 2022
<1%88%12%
3.85
Nadiia Gazda
8W–3L career · no lines in 2022
3%95%3%
3.75
Shelly Shen
7W–15L career · no lines in 2022
8%91%1%
3.68
3.5
Ginni Dhindsa
10W–11L career · no lines in 2022
<1%71%29%
3.43
Twinee Madan
11W–10L career · no lines in 2022
<1%76%24%
3.41
Sonia Whitfield
19W–13L career · no lines in 2022
<1%80%20%
3.39
3.5
Elaine Roe
21W–15L career · no lines in 2022
<1%85%15%
3.37
3.5
Christine Fronczak
50W–39L career · no lines in 2022
1%90%10%
3.33
3.5
Cathleen Ligman
10W–13L career · no lines in 2022
3%95%3%
3.25
3.5
Deena Elfar
19W–34L career · no lines in 2022
3%95%3%
3.25
Kay Yonemoto
11W–12L career · no lines in 2022
7%92%1%
3.19
Rae Chiang
5W–6L career · no lines in 2022
13%87%<1%
3.15
Tatyana Borukhovich
7W–6L career · no lines in 2022
19%81%<1%
3.11
Vera Parengkuan
12W–14L career · no lines in 2022
20%80%<1%
3.11
Patrizia Fazeli
9W–13L career · no lines in 2022
22%78%<1%
3.10
3.5
Corrine Fabie
9W–14L career · no lines in 2022
64%36%<1%
2.96
3
Anna-Kate Bultema
4W–4L career · no lines in 2022
<1%69%31%
2.94
Nancy Pizzo
1W–10L career · no lines in 2022
92%8%<1%
2.82

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.