Teams

WALNUT CREEK RC/Walnut Creek TC 40MX8.0B

2022 MIXED 40&Over · 40&Over MX8.0

23 players · average NTRP 4.00 / 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 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 3.73 estimated across 20 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.

4.29
Jeff Wong
published
Debra Goettsch
published 4.5
4.23
Brian Italia
published 4.5
4.12
Martin Nunez
published
4.11
Michael Attiyeh
published
4.06
Sanjay Backliwal
published
3.96
Julianne Gee
published
3.90
Athena Lofquist
published 4
3.85
Kathryn Aguilar
published
3.77
Raquel Atkin
published
3.76
Stephen Buchholz
published
3.70
Alex Aguilar
published 4
3.69
Jay Dunlavy
published
3.61
Susan Aneja
published
3.55
Kelley Krock
published
3.48
Ramin Naeini
published
3.40
Denise Maloney
published 4
3.32
Karl Brown
published
3.29
Lisa Italia
published
3.26
Jeff Gear
published
Hong Nguyen
usually #1 Doubles 86%, also #2 Doubles 14% · published 3.5
3.17
Cynthia Attiyeh
published 3.5
Stacey Huang
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.

Cynthia Attiyeh + Michael Attiyeh3842% games−8.1% vs expected
Alex Aguilar + Susan Aneja123 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.

Jeff Wong
18W–2L career · no lines in 2022
1%93%5%
4.29
4.5
Debra Goettsch
0W–2L career · no lines in 2022
not enough data
4.5
Brian Italia
4W–5L career · no lines in 2022
4%94%2%
4.23
Martin Nunez
6W–12L career · no lines in 2022
19%81%<1%
4.12
Michael Attiyeh
9W–22L career · no lines in 2022
19%80%<1%
4.11
Sanjay Backliwal
10W–32L career · no lines in 2022
33%67%<1%
4.06
Julianne Gee
7W–9L career · no lines in 2022
63%37%<1%
3.96
4
Athena Lofquist
26W–12L career · no lines in 2022
<1%79%21%
3.90
Kathryn Aguilar
12W–18L career · no lines in 2022
88%12%<1%
3.85
Raquel Atkin
6W–22L career · no lines in 2022
96%4%<1%
3.77
Stephen Buchholz
25W–6L career · no lines in 2022
2%94%3%
3.76
4
Alex Aguilar
24W–23L career · no lines in 2022
6%93%1%
3.70
Jay Dunlavy
27W–20L career · no lines in 2022
7%92%1%
3.69
Susan Aneja
35W–30L career · no lines in 2022
21%79%<1%
3.61
Kelley Krock
6W–10L career · no lines in 2022
35%65%<1%
3.55
Ramin Naeini
8W–6L career · no lines in 2022
55%45%<1%
3.48
4
Denise Maloney
3W–8L career · no lines in 2022
78%22%<1%
3.40
Karl Brown
6W–5L career · no lines in 2022
1%91%8%
3.32
Lisa Italia
13W–23L career · no lines in 2022
1%93%5%
3.29
Jeff Gear
6W–1L career · no lines in 2022
2%94%3%
3.26
3.5
Hong Nguyen
39W–17L career · 7 lines in 2022
not enough data
3.5
Cynthia Attiyeh
11W–21L career · type A · no lines in 2022
9%90%1%
3.17
Stacey Huang
2W–3L 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.