Teams

WALNUT CREEK RC/Walnut Creek TC 18MX9.0B

2025 MIXED 18&Over · 18&Over MX9.0

23 players · average NTRP 4.30 / 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 18&Over MX9.0 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 4.04 estimated across 19 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.

4.57
Elliot Feinberg
published
4.38
Patrick Beauchemin
published
Cameron Larner
published 4.5
Debra Goettsch
published 4.5
4.22
Martin Dunlap
published
4.18
Brian Italia
published 4.5
4.14
Lena Larionova
published
4.12
Michael Attiyeh
usually #1 Doubles 100% · published
4.09
Nathan Gong
published
4.08
Martin Nunez
published
4.07
Julia Porter
usually #1 Doubles 100% · published
4.06
Tiffany Liew
published
4.03
Martha Matrisian
published
4.03
Ana Larner
published 4
3.99
Sanjay Backliwal
published
3.94
Jonathan Maze
published
3.86
Thea Horii
published
3.78
3.75
Shin Koo
usually #2 Doubles 100% · published
3.72
Raquel Atkin
published
3.68
Darcy Beauchemin
published 4
Geoff Mora
published
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.

Nathan Gong + Tiffany Liew1643% games−0.9% vs expected
Ana Larner + Elliot Feinberg224 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.

Elliot Feinberg
3W–5L career · no lines in 2025
no projection at this level
4.57
Patrick Beauchemin
10W–9L career · no lines in 2025
<1%80%19%
4.38
4.5
Cameron Larner
2W–3L career · no lines in 2025
not enough data
4.5
Debra Goettsch
0W–2L career · no lines in 2025
not enough data
Martin Dunlap
10W–13L career · no lines in 2025
6%92%2%
4.22
4.5
Brian Italia
4W–6L career · no lines in 2025
10%89%1%
4.18
Lena Larionova
15W–8L career · no lines in 2025
16%83%<1%
4.14
Michael Attiyeh
9W–22L career · 1 line in 2025
20%80%<1%
4.12
Nathan Gong
11W–12L career · no lines in 2025
26%73%<1%
4.09
Martin Nunez
6W–12L career · no lines in 2025
28%72%<1%
4.08
Julia Porter
8W–13L career · 1 line in 2025
32%68%<1%
4.07
Tiffany Liew
14W–12L career · no lines in 2025
32%68%<1%
4.06
Martha Matrisian
22W–13L career · no lines in 2025
41%59%<1%
4.03
4
Ana Larner
42W–25L career · no lines in 2025
<1%42%58%
4.03
Sanjay Backliwal
12W–32L career · no lines in 2025
54%46%<1%
3.99
Jonathan Maze
13W–4L career · no lines in 2025
66%34%<1%
3.94
Thea Horii
1W–6L career · no lines in 2025
84%16%<1%
3.86
Tina Sorensen Berman
2W–6L career · no lines in 2025
94%6%<1%
3.78
Shin Koo
4W–13L career · 1 line in 2025
96%4%<1%
3.75
Raquel Atkin
7W–24L career · no lines in 2025
98%2%<1%
3.72
4
Darcy Beauchemin
24W–13L career · no lines in 2025
10%89%1%
3.68
Geoff Mora
1W–2L career · no lines in 2025
not enough data
Stacey Huang
2W–3L career · no lines in 2025
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.