Teams

BAY TREES PK 55MX8.0A

2022 MIXED 55&Over · 55&Over MX8.0

14 players · average NTRP 3.83 / 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 55&Over MX8.0 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 3.60 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.

4.31
Holli Strain
published 4.5
4.06
Sanjay Backliwal
published
3.89
Nancy Wilson
published
3.79
Shari Mcaneney
published
3.76
Judy Cummins
published
David Pawid
published 4
Derrick Guzman
published 4
3.57
Nancy Jing
published
3.53
Chen Zhang
published 3.5
3.50
Ning Docena
published
3.30
James Cochrane
published 3.5
3.20
Harvey Sue
published 3.5
3.16
Pearl Leung
published
3.15
Karen de Martini
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.

4.5
Holli Strain
11W–13L career · no lines in 2022
1%92%7%
4.31
Sanjay Backliwal
10W–32L career · no lines in 2022
33%67%<1%
4.06
Nancy Wilson
19W–27L career · no lines in 2022
81%19%<1%
3.89
Shari Mcaneney
8W–12L career · no lines in 2022
1%93%5%
3.79
Judy Cummins
14W–11L career · no lines in 2022
2%94%3%
3.76
4
David Pawid
0W–1L career · no lines in 2022
not enough data
4
Derrick Guzman
1W–2L career · type S · no lines in 2022
not enough data
Nancy Jing
2W–10L career · no lines in 2022
28%71%<1%
3.57
3.5
Chen Zhang
11W–10L career · no lines in 2022
<1%42%58%
3.53
Ning Docena
13W–26L career · no lines in 2022
51%49%<1%
3.50
3.5
James Cochrane
9W–7L career · type A · no lines in 2022
1%93%6%
3.30
3.5
Harvey Sue
10W–12L career · no lines in 2022
6%93%1%
3.20
Pearl Leung
38W–20L career · no lines in 2022
<1%12%88%
3.16
Karen de Martini
12W–16L career · no lines in 2022
12%88%<1%
3.15

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.