Teams

BAY CLUB SF TENNIS 18AW3.0A

2025 ADULT 18&Over · Women's 3.0

24 players · average NTRP 3.11 / 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 2.84 estimated across 21 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.

3.32
Caroline Tsoi
published 3.5
3.26
Cassie Coggeshall
usually #1 Doubles 33%, also #2 Doubles 33% · published 3.5
3.13
Karen Davison
published
3.07
Hsing-Hsien Wang
published 3
3.06
Karen Schutten
published
2.99
Tammy Nurisso
published
2.96
Jenny Le
published
2.94
Kirstin Johnson
published
2.90
Ellen Ding
published 3
2.88
Romina Skoff
published
2.81
Susan Philip
published
2.79
Ayse Hortacsu
published 3
2.71
Charlene Scheil
published 3
2.69
Virginia Halsey
published
2.67
Regina Eberhart
usually #2 Doubles 100% · published
2.64
Ann Cleveland
published 3
2.58
Christine Beard
published 3
2.58
Linda Collins
published
2.57
2.54
Randi Kern
published
2.53
Noreen Connor
published
Jeremie Montero
published
Lynnie Laks
published
Nina Brentlinger
usually #2 Singles 100% · 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.

Tammy Nurisso + Linda Collins134 matchesnot enough data
Tammy Nurisso + Charlene Scheil213 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
Caroline Tsoi
5W–8L career · no lines in 2025
1%91%8%
3.32
3.5
Cassie Coggeshall
12W–4L career · 3 lines in 2025
2%94%3%
3.26
Karen Davison
34W–18L career · no lines in 2025
<1%16%84%
3.13
3
Hsing-Hsien Wang
18W–4L career · no lines in 2025
<1%30%70%
3.07
Karen Schutten
35W–7L career · no lines in 2025
<1%31%69%
3.06
Tammy Nurisso
11W–14L career · no lines in 2025
<1%53%47%
2.99
Jenny Le
2W–10L career · no lines in 2025
63%37%<1%
2.96
Kirstin Johnson
8W–2L career · no lines in 2025
<1%69%31%
2.94
3
Ellen Ding
7W–4L career · no lines in 2025
<1%78%22%
2.90
Romina Skoff
5W–13L career · no lines in 2025
<1%82%18%
2.88
Susan Philip
4W–9L career · no lines in 2025
1%92%7%
2.81
3
Ayse Hortacsu
5W–14L career · no lines in 2025
1%94%5%
2.79
3
Charlene Scheil
7W–16L career · no lines in 2025
5%94%1%
2.71
Virginia Halsey
4W–7L career · no lines in 2025
7%92%1%
2.69
Regina Eberhart
6W–26L career · 1 line in 2025
0%9%91%
2.67
3
Ann Cleveland
3W–16L career · no lines in 2025
14%86%<1%
2.64
3
Christine Beard
0W–11L career · no lines in 2025
28%72%<1%
2.58
Linda Collins
2W–14L career · no lines in 2025
28%72%<1%
2.58
3
Baharak Arjomandi
1W–2L career · no lines in 2025
31%69%<1%
2.57
Randi Kern
4W–13L career · no lines in 2025
38%62%<1%
2.54
Noreen Connor
8W–8L career · no lines in 2025
41%59%<1%
2.53
Jeremie Montero
0W–2L career · no lines in 2025
not enough data
Lynnie Laks
0W–1L career · no lines in 2025
not enough data
Nina Brentlinger
0W–1L career · 1 line 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.