Teams

FC-Robertson-Mora

2026 Mixed 40 & Over · 6.0

13 players · average NTRP 2.92 / NORTHWEST WASHINGTON

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Schedule7 played
2026-08-08vs TCSP-Volley Vibes-de SotoWon 21
L#1 DoublesLik Wong / Abby Miller vs Aleana Harris / Adam Field6-2, 1-6, 0-1
W#2 DoublesXIAOOU ZHUANG / Xin Cheng vs Lisa Adamek / Jeremy Murray6-3, 6-4
W#3 DoublesChristopher Robertson / Edith Matulka vs N/A6-0, 6-0
2026-08-01vs BTA-Mixology-MuirWon 30
W#1 DoublesXin Cheng / XIAOOU ZHUANG vs Derrick Mueller / Alison Young6-3, 6-4
W#2 DoublesThomas Stave / Karen Dalton vs Lynne Nowicki / Aaron Eadson3-6, 6-3, 1-0
W#3 DoublesJuan Ricardo / Renee Pitra vs Randy Barber / Emily Swanson6-3, 6-0
2026-07-25vs BC-Doubles2Love-SedghinasabLost 12
W#1 DoublesXin Cheng / XIAOOU ZHUANG vs Myoungju Baek / Stephen Waltar6-3, 6-4
L#2 DoublesLik Wong / Karen Dalton vs Brooke Small / Christopher Small6-4, 2-6, 0-1
L#3 DoublesWilliam Miao / Renee Pitra vs Natalie Banks-Mendez / Kevin McNeil4-6, 3-6
2026-07-18vs AYTC-The Third Set-BlanchardWon 30
W#1 DoublesWilliam Miao / XIAOOU ZHUANG vs Alix Day / Rob Ward6-2, 6-4
W#2 DoublesLik Wong / Edith Matulka vs Laura Blanchard / Jonathan Dong6-1, 6-0
W#3 DoublesThomas Stave / Naomi Mora vs Giselle Pavlovec / Cory Sbarbaro6-3, 6-1
2026-07-11vs CAC/SL-Mix it up-BetancourtWon 21
L#1 DoublesXin Cheng / XIAOOU ZHUANG vs Vickram Jairamani / Kimberly Caponigro2-6, 6-4, 0-1
W#2 DoublesWilliam Miao / Karen Dalton vs Ryan Allen / Tatyana Gordon6-4, 6-3
W#3 DoublesChristopher Robertson / Natalia Kuznetsova vs Daniel Stark / Mary Turino3-6, 6-3, 1-0
2026-06-26vs ETC-HolmgrenWon 21
L#1 DoublesXin Cheng / XIAOOU ZHUANG vs Jessy Beardemphl / George Ilvanakis3-6, 1-6
W#2 DoublesWilliam Miao / Karen Dalton vs Stephanie Raffetto / John Raffetto6-2, 2-6, 1-0
W#3 DoublesChristopher Robertson / Natalia Kuznetsova vs Cristi Rivas / Andy Rivas6-4, 6-2
2026-06-20vs CP-KoralskaLost 12
W#1 DoublesXin Cheng / XIAOOU ZHUANG vs Chandler Wadsworth / David Grace6-7, 7-6, 1-0
L#2 DoublesWilliam Miao / Naomi Mora vs Anton Kirilov / Katie van Zyl2-6, 2-6
L#3 DoublesJuan Ricardo / Abby Miller vs Candis Brink / Markus Mielke6-4, 4-6, 0-1
A tie can be incomplete. Tell us if someone is missing.
i
Grouped by tie — one fixture, several lines. A line shows only when a player on it is someone we have indexed, so an early-season tie for a newly-added team can look short. This also means the line count here will not match the header, which counts individual player appearances.

Flight standings for 6.0 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 2.72 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.

2.98
Edith Matulka
usually #2 Doubles 50%, also #3 Doubles 50% · published 3
2.95
Xin Cheng
usually #1 Doubles 83%, also #2 Doubles 17% · published 3
2.90
Lik Wong
usually #2 Doubles 67%, also #1 Doubles 33% · published 3
2.83
William Miao
usually #2 Doubles 60%, also #1 Doubles 20% · published 3
2.82
Juan Ricardo
usually #3 Doubles 100% · published 3
2.72
Karen Dalton
usually #2 Doubles 100% · published 3
2.71
Thomas Stave
usually #3 Doubles 50%, also #2 Doubles 50% · published 3
2.70
Christopher Robertson
usually #3 Doubles 100% · published 3
2.67
Naomi Mora
usually #2 Doubles 50%, also #3 Doubles 50% · published 3
2.67
XIAOOU ZHUANG
usually #1 Doubles 86%, also #2 Doubles 14% · published 3
2.50
Natalia Kuznetsova
usually #3 Doubles 100% · published 3
2.49
Renee Pitra
usually #3 Doubles 100% · published 2.5
2.43
Abby Miller
usually #1 Doubles 67%, also #2 Doubles 17% · published 2.5
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.

Natalia Kuznetsova + Christopher Robertson4151% games+4.4% vs expected
Naomi Mora + Christopher Robertson4452% games+1.2% vs expected
Xin Cheng + XIAOOU ZHUANG7950% games−3.3% vs expected
Edith Matulka + Christopher Robertson314 matchesnot enough data
Naomi Mora + Thomas Stave303 matchesnot enough data
Abby Miller + Christopher Robertson123 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.

3
Edith Matulka
63W–19L career · 2 lines in 2026
<1%55%45%
2.98
3
Xin Cheng
37W–37L career · 6 lines in 2026
<1%63%37%
2.95
3
Lik Wong
27W–28L career · 3 lines in 2026
<1%76%23%
2.90
3
William Miao
31W–32L career · 5 lines in 2026
1%87%12%
2.83
3
Juan Ricardo
45W–72L career · 2 lines in 2026
1%89%10%
2.82
3
Karen Dalton
39W–26L career · 4 lines in 2026
6%92%2%
2.72
3
Thomas Stave
40W–92L career · 2 lines in 2026
6%92%2%
2.71
3
Christopher Robertson
25W–23L career · 3 lines in 2026
7%91%2%
2.70
3
Naomi Mora
52W–52L career · 2 lines in 2026
11%88%1%
2.67
3
XIAOOU ZHUANG
20W–28L career · 7 lines in 2026
12%87%1%
2.67
3
Natalia Kuznetsova
69W–74L career · 2 lines in 2026
49%51%<1%
2.50
2.5
Renee Pitra
27W–34L career · 2 lines in 2026
0%54%46%
2.49
2.5
Abby Miller
37W–56L career · 6 lines in 2026
0%68%32%
2.43

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.