Teams

PINOLE PK 55MX8.0A

2022 MIXED 55&Over · 55&Over MX8.0

16 players · average NTRP 3.60 / 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 3.50 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.

3.93
Marcia Banks
published
3.79
Jo Baker
published
3.76
Kalliope Bellesis
published
3.70
Lixia Lake
published
3.67
Cliff Liang
published 4
3.60
Kazuo Nakamoto
published
3.54
Mary Gamble
published
3.46
Gary Hazard
published 3.5
3.36
Chris Haskell
published 3.5
3.32
Anna Le
published 3.5
3.29
Albert Chu
published 3.5
3.17
Lisa Haskell
published
2.94
Lourdes Alano
published
Jane Gee
published
Lisa Ng
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.

Chris Haskell + Lisa Haskell2441% games−10.2% vs expected
Anna Le + Risanto Pranatadjaja213 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.

Marcia Banks
2W–5L career · no lines in 2022
71%29%<1%
3.93
Jo Baker
7W–5L career · no lines in 2022
95%5%<1%
3.79
Kalliope Bellesis
6W–5L career · no lines in 2022
2%94%3%
3.76
Lixia Lake
8W–8L career · no lines in 2022
6%93%1%
3.70
4
Cliff Liang
8W–0L career · no lines in 2022
9%90%1%
3.67
Kazuo Nakamoto
9W–9L career · no lines in 2022
22%78%<1%
3.60
Mary Gamble
22W–24L career · no lines in 2022
39%61%<1%
3.54
3.5
Gary Hazard
3W–1L career · no lines in 2022
<1%63%37%
3.46
3.5
Chris Haskell
10W–13L career · no lines in 2022
<1%85%15%
3.36
3.5
Anna Le
11W–4L career · no lines in 2022
1%91%9%
3.32
3.5
Albert Chu
7W–5L career · no lines in 2022
1%93%6%
3.29
Lisa Haskell
6W–16L career · no lines in 2022
10%90%1%
3.17
Lourdes Alano
13W–5L career · no lines in 2022
<1%67%32%
2.94
Jane Gee
10W–3L career · no lines in 2022
not enough data
Lisa Ng
6W–3L career · no lines in 2022
not enough data
Risanto Pranatadjaja
6W–2L 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.