Teams

PINOLE PK 40MX7.0A

2023 MIXED 40&Over · 40&Over MX7.0

17 players · average NTRP 3.62 / 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 MX7.0 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 3.37 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.

3.83
Edgar Crescencio
published
3.79
Ariane Sanders
published 4
3.73
Maggie Ho
published
3.65
Cliff Liang
published 4
3.41
Chamane Ifland
usually #1 Doubles 43%, also #3 Doubles 29% · published 4
3.39
Gina Chen
published
3.39
Jaime Pagmanua
published
3.35
Dan Ray Miller
published 3.5
3.29
Albert Chu
published 3.5
3.23
Cindy Mark
published 3.5
2.99
Catherine Sampietro
published 3.5
2.98
Matthew Derby
published
2.77
Anita Lifson
published 3
Ed Wong
published
Gary Hazard
published
Gerry Sadang
published
Simon Kwan
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.

Edgar Crescencio
15W–5L career · no lines in 2023
1%88%12%
3.83
4
Ariane Sanders
15W–19L career · no lines in 2023
2%91%7%
3.79
Maggie Ho
14W–8L career · no lines in 2023
5%92%2%
3.73
4
Cliff Liang
9W–0L career · no lines in 2023
14%86%1%
3.65
4
Chamane Ifland
107W–54L career · 7 lines in 2023
74%26%<1%
3.41
Gina Chen
27W–21L career · no lines in 2023
78%22%<1%
3.39
Jaime Pagmanua
14W–7L career · no lines in 2023
<1%78%21%
3.39
3.5
Dan Ray Miller
14W–7L career · type A · no lines in 2023
1%85%15%
3.35
3.5
Albert Chu
7W–5L career · no lines in 2023
2%91%7%
3.29
3.5
Cindy Mark
16W–26L career · no lines in 2023
5%92%3%
3.23
3.5
Catherine Sampietro
3W–12L career · no lines in 2023
52%48%<1%
2.99
Matthew Derby
13W–14L career · no lines in 2023
57%43%<1%
2.98
3
Anita Lifson
6W–1L career · type M · no lines in 2023
3%92%5%
2.77
Ed Wong
0W–1L career · no lines in 2023
not enough data
Gary Hazard
3W–2L career · no lines in 2023
not enough data
Gerry Sadang
5W–2L career · no lines in 2023
not enough data
Simon Kwan
11W–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.