Teams

PINOLE PK 55MX7.0A

2022 MIXED 55&Over · 55&Over MX7.0

18 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 55&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 3.18 estimated across 17 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.

3.87
Edgar Crescencio
published 4
3.79
Ariane Sanders
published 4
3.46
Gary Hazard
published 3.5
3.43
Gina Chen
published 4
3.36
Chris Haskell
published 3.5
3.29
Albert Chu
published 3.5
Ed Wong
published 3.5
3.17
Lisa Haskell
published
3.10
John Abruzzo
published
3.09
Keith Denkler
published
3.00
Karin Hein
published
3.00
Kirsten Lang
published
2.94
Lourdes Alano
published
2.93
Maria Chiang
published
2.93
Meilan Liu
published
2.91
Jan Wilkins
published
2.86
Douglas A Ensor
published 3
2.85
Marion Sanders
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
Lourdes Alano + Edgar Crescencio314 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.

4
Edgar Crescencio
15W–5L career · no lines in 2022
<1%83%16%
3.87
4
Ariane Sanders
12W–18L career · no lines in 2022
1%94%5%
3.79
3.5
Gary Hazard
3W–1L career · no lines in 2022
<1%63%37%
3.46
4
Gina Chen
27W–19L career · no lines in 2022
69%31%<1%
3.43
3.5
Chris Haskell
10W–13L career · no lines in 2022
<1%85%15%
3.36
3.5
Albert Chu
7W–5L career · no lines in 2022
1%93%6%
3.29
3.5
Ed Wong
0W–1L career · no lines in 2022
not enough data
Lisa Haskell
6W–16L career · no lines in 2022
10%90%1%
3.17
John Abruzzo
6W–14L career · no lines in 2022
23%77%<1%
3.10
Keith Denkler
3W–10L career · no lines in 2022
24%76%<1%
3.09
Karin Hein
10W–2L career · no lines in 2022
<1%49%51%
3.00
Kirsten Lang
3W–6L career · no lines in 2022
52%48%<1%
3.00
Lourdes Alano
13W–5L career · no lines in 2022
<1%67%32%
2.94
Maria Chiang
11W–9L career · no lines in 2022
<1%70%30%
2.93
Meilan Liu
10W–22L career · no lines in 2022
<1%71%28%
2.93
Jan Wilkins
1W–9L career · no lines in 2022
76%24%<1%
2.91
3
Douglas A Ensor
8W–10L career · no lines in 2022
<1%85%15%
2.86
Marion Sanders
13W–17L career · no lines in 2022
<1%87%13%
2.85

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.