Teams

BAY CLUB COURTSIDE 18AW3.0A

2025 ADULT 18&Over · Women's 3.0

20 players · average NTRP 3.12 / 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 3.0 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 3.01 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.

3.58
Camille Freeman
published 3.5
3.49
Weiwei Luan
usually #1 Doubles 100% · published
3.28
Susan Onffroy
published
3.27
Lexi He
published
3.27
Marnie Mar
published
3.13
Lana Chizhik
published
3.11
Inna Cantor
published
3.04
Carolyn Harnish
published 3
3.02
Hayley Charnaw
published
2.96
Arlene Wu
usually #1 Doubles 38%, also #3 Doubles 25% · published 3
2.93
Elizabeth Hitchcock
published
2.92
Zhen Liu
usually #2 Singles 100% · published
2.91
Melissa Vuckovich
published
2.80
2.76
Sarah Arjomand
published
2.75
Michelle Angel
published
2.74
Vonda Reid
published 3
2.65
Minyu Jessica Chang
published
2.65
Mary Low
published
Katherine Lederer
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.

Inna Cantor + Susan Onffroy2347% games−12.2% vs expected
Carolyn Harnish + Marnie Mar2355% gamesnot enough data
Vonda Reid + Sangeetha Narasimhan314 matchesnot enough data
Vonda Reid + Hayley Charnaw314 matchesnot enough data
Melissa Vuckovich + Elizabeth Hitchcock033 matchesnot enough data
Michelle Angel + Hayley Charnaw303 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
Camille Freeman
25W–12L career · no lines in 2025
<1%29%71%
3.58
Weiwei Luan
19W–10L career · 1 line in 2025
<1%53%47%
3.49
Susan Onffroy
24W–27L career · no lines in 2025
2%92%6%
3.28
Lexi He
10W–5L career · no lines in 2025
3%92%5%
3.27
Marnie Mar
6W–16L career · no lines in 2025
3%92%5%
3.27
Lana Chizhik
6W–9L career · no lines in 2025
18%81%<1%
3.13
Inna Cantor
6W–11L career · no lines in 2025
22%78%<1%
3.11
3
Carolyn Harnish
13W–8L career · no lines in 2025
<1%38%62%
3.04
Hayley Charnaw
23W–21L career · no lines in 2025
<1%45%55%
3.02
3
Arlene Wu
11W–7L career · 8 lines in 2025
<1%61%39%
2.96
Elizabeth Hitchcock
11W–20L career · no lines in 2025
<1%70%30%
2.93
Zhen Liu
27W–8L career · 1 line in 2025
<1%71%29%
2.92
Melissa Vuckovich
17W–26L career · no lines in 2025
<1%74%26%
2.91
Sangeetha Narasimhan
11W–11L career · no lines in 2025
2%91%7%
2.80
Sarah Arjomand
12W–7L career · no lines in 2025
3%92%5%
2.76
Michelle Angel
18W–20L career · no lines in 2025
4%93%4%
2.75
3
Vonda Reid
19W–25L career · no lines in 2025
4%93%3%
2.74
Minyu Jessica Chang
2W–15L career · no lines in 2025
14%85%1%
2.65
Mary Low
6W–13L career · no lines in 2025
15%85%1%
2.65
Katherine Lederer
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.