Teams

PLEASANT HILL/PLEASANT HILL MIDDLE 40MX7.0A

2024 MIXED 40&Over · 40&Over MX7.0

19 players · average NTRP 3.44 / 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 3.10 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.

3.66
Priyank Saxena
published
3.33
Becky Reiss
published 3.5
3.28
Janet Race
published
Andrew Benzie
published 3.5
Christine Meng
published 3.5
3.23
Tom Betts
published
3.17
Peter Snowden
published
3.14
Kris Courtney
published
3.12
Alexandra Degg
published 3.5
3.11
Doug van Slyke
published 3.5
3.08
David Wax
published 3.5
2.92
Daljeet Singh
published 3.5
2.82
Chris Rascle
published 3
2.73
John Bockman
published
2.69
Jonathan Degg
published
Jason Ehrlich
published
Margaret Rivera
published
Mary Akli
published
Mayra Dominguez
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.

Priyank Saxena
8W–10L career · no lines in 2024
11%89%<1%
3.66
3.5
Becky Reiss
12W–7L career · no lines in 2024
1%90%10%
3.33
Janet Race
9W–21L career · no lines in 2024
2%94%4%
3.28
3.5
Andrew Benzie
0W–2L career · no lines in 2024
not enough data
3.5
Christine Meng
0W–2L career · no lines in 2024
not enough data
Tom Betts
12W–28L career · no lines in 2024
4%94%2%
3.23
Peter Snowden
3W–13L career · no lines in 2024
10%90%1%
3.17
Kris Courtney
15W–20L career · no lines in 2024
14%86%<1%
3.14
3.5
Alexandra Degg
2W–6L career · type S · no lines in 2024
18%82%<1%
3.12
3.5
Doug van Slyke
8W–22L career · no lines in 2024
20%80%<1%
3.11
3.5
David Wax
0W–4L career · type S · no lines in 2024
27%73%<1%
3.08
3.5
Daljeet Singh
3W–25L career · no lines in 2024
73%27%<1%
2.92
3
Chris Rascle
3W–1L career · no lines in 2024
1%91%9%
2.82
John Bockman
5W–10L career · no lines in 2024
4%94%2%
2.73
Jonathan Degg
4W–5L career · no lines in 2024
7%92%1%
2.69
Jason Ehrlich
1W–3L career · no lines in 2024
not enough data
Margaret Rivera
1W–1L career · no lines in 2024
not enough data
Mary Akli
1W–1L career · no lines in 2024
not enough data
Mayra Dominguez
1W–2L career · no lines in 2024
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.