Teams

BAY CLUB PL 18AW3.5A-DT

2023 ADULT 18&Over Daytime · Women 3.5

14 players · average NTRP 3.50 / 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 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 3.32 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.

3.81
Mary Reese
published
3.77
Mattie Wei
published
3.57
Alice Huynh
published 3.5
3.44
Tiffany Tran-Carper
published
3.41
Stephanie Hiew
published
3.37
Jenny Mau
published
3.22
Tina Zhao
published
3.19
Flora Tang
published 3.5
3.08
Vanya Georgieva
published
3.04
Yolanda Scaramuzzo
published
3.01
Priscilla Z Behidj
published
2.94
Mary J Bedegi
published
Jing Vasseghi
published
Xia Wang
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.

Tina Zhao + Flora Tang6067% games+20.6% vs expected
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.

Mary Reese
15W–12L career · no lines in 2023
1%92%7%
3.81
Mattie Wei
11W–3L career · no lines in 2023
2%94%4%
3.77
3.5
Alice Huynh
20W–6L career · no lines in 2023
<1%30%70%
3.57
Tiffany Tran-Carper
11W–9L career · no lines in 2023
<1%68%32%
3.44
Stephanie Hiew
12W–4L career · no lines in 2023
<1%75%25%
3.41
Jenny Mau
11W–3L career · no lines in 2023
<1%84%16%
3.37
Tina Zhao
17W–4L career · no lines in 2023
4%94%2%
3.22
3.5
Flora Tang
20W–12L career · no lines in 2023
7%92%1%
3.19
Vanya Georgieva
8W–9L career · no lines in 2023
28%72%<1%
3.08
Yolanda Scaramuzzo
18W–8L career · no lines in 2023
<1%38%62%
3.04
Priscilla Z Behidj
35W–33L career · no lines in 2023
<1%48%52%
3.01
Mary J Bedegi
8W–10L career · no lines in 2023
<1%69%31%
2.94
Jing Vasseghi
5W–1L career · no lines in 2023
not enough data
Xia Wang
1W–1L career · no lines in 2023
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.