Teams

BAY CLUB SF TENNIS 18AW3.5A

2022 ADULT 18&Over · Women's 3.5

16 players · average NTRP 3.70 / 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 3.31 estimated across 13 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.

3.77
Elizabeth Cheung
published 4
3.75
Nadiia Gazda
published
Grace Kahng
published 4
3.49
Alison Erhart
published 3.5
3.41
Twinee Madan
published
3.39
Sonia Whitfield
published
3.38
Sherri Glenn
published
3.34
Shan Lu
published
3.28
Paula Mangin
published
3.24
Jennifer Koo
published
3.16
Elizabeth Au
published 3.5
3.11
Monica Reid
published
2.96
Grace Huang
published 3.5
2.80
Karen Varnhagen
published
Paulina Gebska
published
Vicky Perez
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.

Jennifer Koo + Monica Reid044 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
Elizabeth Cheung
5W–2L career · no lines in 2022
2%94%4%
3.77
Nadiia Gazda
8W–3L career · no lines in 2022
3%95%3%
3.75
4
Grace Kahng
0W–1L career · no lines in 2022
not enough data
3.5
Alison Erhart
35W–12L career · no lines in 2022
<1%53%47%
3.49
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
Sherri Glenn
17W–11L career · no lines in 2022
<1%82%17%
3.38
Shan Lu
7W–13L career · no lines in 2022
89%11%<1%
3.34
Paula Mangin
14W–23L career · no lines in 2022
2%94%5%
3.28
Jennifer Koo
10W–18L career · no lines in 2022
3%94%2%
3.24
3.5
Elizabeth Au
0W–3L career · no lines in 2022
11%89%<1%
3.16
Monica Reid
3W–18L career · no lines in 2022
19%81%<1%
3.11
3.5
Grace Huang
10W–13L career · no lines in 2022
62%38%<1%
2.96
Karen Varnhagen
3W–7L career · no lines in 2022
1%93%6%
2.80
Paulina Gebska
1W–0L career · no lines in 2022
not enough data
Vicky Perez
2W–0L career · no lines in 2022
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.