Teams

BAY CLUB SF TENNIS 40MX6.0A

2023 MIXED 40&Over · 40&Over MX6.0

15 players · average NTRP 3.33 / 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 40&Over MX6.0 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 3.16 estimated across 14 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.

3.50
Patrick Haley
published
3.41
Ryan Morrison
published
3.39
Marilena Gallotta
published
3.38
Daniel Lim
usually #2 Doubles 70%, also #1 Doubles 20% · published 3.5
3.36
Jeanne Hoffman
published
3.27
Su-Mien Chong
published
3.21
Becky Packard
published 3.5
3.19
Tyrone Miller
published
3.15
Karen Davison
published
3.11
Timothy Tuttle
published
3.07
Goldie Cheng
published
2.76
Virginia Halsey
published
2.71
Susan Philip
published
2.65
Ann Cleveland
published 3
Wenonah Devens
published
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.

Patrick Haley
8W–8L career · no lines in 2023
<1%49%51%
3.50
Ryan Morrison
15W–3L career · no lines in 2023
<1%74%25%
3.41
Marilena Gallotta
21W–12L career · no lines in 2023
<1%78%22%
3.39
3.5
Daniel Lim
33W–31L career · 10 lines in 2023
<1%80%20%
3.38
Jeanne Hoffman
10W–14L career · no lines in 2023
1%84%16%
3.36
Su-Mien Chong
11W–12L career · no lines in 2023
3%92%5%
3.27
3.5
Becky Packard
8W–15L career · no lines in 2023
6%92%2%
3.21
Tyrone Miller
6W–11L career · no lines in 2023
9%90%1%
3.19
Karen Davison
34W–18L career · no lines in 2023
<1%14%86%
3.15
Timothy Tuttle
7W–12L career · no lines in 2023
22%78%<1%
3.11
Goldie Cheng
7W–7L career · no lines in 2023
31%69%<1%
3.07
Virginia Halsey
4W–8L career · no lines in 2023
3%93%4%
2.76
Susan Philip
4W–10L career · no lines in 2023
6%92%2%
2.71
3
Ann Cleveland
5W–16L career · no lines in 2023
14%85%1%
2.65
Wenonah Devens
0W–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.