Teams

FC-Good Gets-Mora

2026 Mixed 18 & Over · 6.0

18 players · average NTRP 3.03 / NORTHWEST WASHINGTON

View scouting list →
Schedule10 played
2025-11-15vs CAC/SL-Mixed Nuts-ColeyLost 03
L#1 DoublesMiguel Beltran / XIAOOU ZHUANG vs Mitch Francisco / Janine Francisco1-6, 3-6
L#2 DoublesXin Cheng / Edith Matulka vs Anne Coley / arvind Mallikarjunan5-7, 6-7
L#3 DoublesDaniel Ivanis / Nina Moorad vs Ben Simek / Anahit Sukhudyan3-6, 3-6
2025-11-02vs NWW-BC-McCulloughLost 03
L#1 DoublesMiguel Beltran / Naomi Mora vs Annika Andrews / Axel Andrews2-6, 2-6
L#2 DoublesEdith Matulka / William Miao vs Amy McCullough / Raj Rajasekar6-4, 3-6, 1-0
L#3 DoublesCat Zimmermann / Abby Miller vs AliceJane Brush / Thomas Walker1-6, 3-6
L#1 DoublesDeepak Ravishankar Ramkumar / Natalia Kuznetsova vs Andrew Buhayar / Rebecca Zimmer6-3, 2-6, 1-0
L#2 DoublesTeresa Cueto / Juan Ricardo vs Sachin Chouksey / Nikki Ryu Kitagaito2-6, 6-2, 0-1
W#3 DoublesRamon Calpe / Naomi Mora vs Chris Pratley / Seiko Kobayashi6-2, 6-4
2025-10-18vs TCSP-Secret Lobbers-TamelingWon 21
L#1 DoublesKelly Ambrose / Ramon Calpe vs Annabella Chiocco / Jason Schroeder7-5, 3-6, 1-0
W#2 DoublesAbby Miller / Xin Cheng vs Aniki Olson / Tyler Farmer2-6, 6-4, 1-0
W#3 DoublesNatalia Kuznetsova / Christopher Robertson vs Teresa Engrav / Andrew Gosline6-4, 6-4
2025-10-12vs ETC-Love All-WangWon 21
W#1 DoublesEdith Matulka / Xin Cheng vs Zirun Zhu / Jiayao Wang7-6, 5-4
L#2 DoublesKelly Ambrose / Daniel Ivanis vs Hanqi Ni / Xi Chen5-7, 3-5
W#3 DoublesNatalia Kuznetsova / Deepak Ravishankar Ramkumar vs Kate Kennedy / Zeshi Du6-1, 7-5
2025-10-04vs BETC-Serve It Up-NguyenLost 03
L#1 DoublesXin Cheng / Kelly Ambrose vs Katrina Lau / Gabriel Perez - *4-6, 3-6
L#2 DoublesChristopher Robertson / Melody Robertson vs Leah Carroll / Arthur Nakata2-6, 2-6
L#3 DoublesWilliam Miao / Abby Miller vs My-Hong Truong / Chris Tom1-6, 1-6
2025-09-27vs ETC-EliMeNationLost 03
L#1 DoublesNatalia Kuznetsova / Miguel Beltran vs Connie Elim / Sandrio Elim3-6, 3-6
L#2 DoublesKelly Ambrose / William Miao vs Xiaoyi Ye / Stephen Wang3-6, 2-6
L#3 DoublesU Yi / Teresa Cueto vs Gogo Chan / Mohinder Singh Atwal2-6, 1-6
2025-09-21vs WSC-The Slicers-BornerLost 03
L#1 DoublesRamon Calpe / Edith Matulka vs Ingrid Foster / Hugo Aponte0-6, 2-6
L#2 DoublesDaniel Ivanis / Nina Moorad vs Megan Prine / Steve Pignotti0-6, 6-4, 0-1
L#3 DoublesMelody Robertson / Christopher Robertson vs Laura Borner / Michael Liu1-6, 4-6
2025-09-14vs BTA-Mixed Signals-GerardWon 21
W#1 DoublesMiguel Beltran / Naomi Mora vs Melanie Gerard / Manivel Chandrasekaran6-0, 6-7, 1-0
L#2 DoublesTeresa Cueto / Juan Ricardo vs Iyyappa Murugandi / Hiroko Young1-6, 5-7
W#3 DoublesCat Zimmermann / Kelly Ambrose vs Mark Chen / Akiko Koyama6-4, 7-6
2025-09-06vs CP-Party Mixer-BrodahlWon 21
W#1 DoublesMiguel Beltran / XIAOOU ZHUANG vs Will Wang / Amy Taylor6-3, 6-3
L#2 DoublesJuan Ricardo / Teresa Cueto vs John Sterr / Maggie Smith1-6, 6-2, 0-1
W#3 DoublesAbby Miller / Xin Cheng vs Derek Edmonds / Amy Galanes5-7, 6-3, 1-0
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 2.77 estimated across 16 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.

3.31
Miguel Beltran
usually #1 Doubles 86%, also #2 Doubles 14% · published 3.5
Deepak Ravishankar Ramkumar
usually #3 Doubles 50%, also #1 Doubles 50% · published 3.5
2.98
Edith Matulka
usually #1 Doubles 50%, also #2 Doubles 50% · published 3
2.95
Xin Cheng
usually #1 Doubles 40%, also #2 Doubles 40% · published 3
2.89
Ramon Calpe
usually #1 Doubles 67%, also #3 Doubles 33% · published 3
2.83
Nina Moorad
usually #2 Doubles 50%, also #3 Doubles 50% · published 3
2.83
William Miao
usually #2 Doubles 67%, also #3 Doubles 33% · published 3
2.82
Juan Ricardo
usually #2 Doubles 100% · published 3
2.81
U Yi
usually #3 Doubles 33%, also #2 Doubles 33% · published 3
2.70
Christopher Robertson
usually #3 Doubles 67%, also #2 Doubles 33% · published 3
2.69
Daniel Ivanis
usually #2 Doubles 67%, also #3 Doubles 33% · published 3
2.67
Teresa Cueto
usually #2 Doubles 75%, also #3 Doubles 25% · published 3
2.67
Naomi Mora
usually #1 Doubles 67%, also #3 Doubles 33% · published 3
2.67
XIAOOU ZHUANG
usually #1 Doubles 100% · published 3
2.58
Cat Zimmermann
usually #3 Doubles 100% · published 3
2.50
Natalia Kuznetsova
usually #1 Doubles 50%, also #3 Doubles 50% · published 3
2.43
Abby Miller
usually #3 Doubles 75%, also #2 Doubles 25% · published 2.5
Melody Robertson
usually #3 Doubles 50%, also #2 Doubles 50% · 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.

Naomi Mora + Christopher Robertson4452% games+6.1% vs expected
Natalia Kuznetsova + Christopher Robertson4151% games+4.8% vs expected
Natalia Kuznetsova + Miguel Beltran4353% games+2.3% vs expected
Miguel Beltran + XIAOOU ZHUANG4156% games−1.7% vs expected
Xin Cheng + XIAOOU ZHUANG7950% games−3.4% vs expected
Teresa Cueto + Juan Ricardo111447% games−4.0% vs expected
Nina Moorad + Daniel Ivanis4356% gamesnot enough data
Naomi Mora + Teresa Cueto3254% gamesnot 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.

3.5
Miguel Beltran
124W–89L career · 7 lines in 2026
1%92%7%
3.31
3.5
Deepak Ravishankar Ramkumar
1W–1L career · type T · 2 lines in 2026
not enough data
3
Edith Matulka
63W–19L career · 4 lines in 2026
<1%55%44%
2.98
3
Xin Cheng
37W–37L career · 5 lines in 2026
<1%64%36%
2.95
3
Ramon Calpe
75W–109L career · 3 lines in 2026
<1%79%21%
2.89
3
Nina Moorad
31W–21L career · 2 lines in 2026
1%90%10%
2.83
3
William Miao
31W–32L career · 3 lines in 2026
1%90%9%
2.83
3
Juan Ricardo
45W–72L career · 3 lines in 2026
1%91%9%
2.82
3
U Yi
26W–48L career · 3 lines in 2026
1%92%8%
2.81
3
Christopher Robertson
25W–23L career · 3 lines in 2026
6%93%1%
2.70
3
Daniel Ivanis
10W–31L career · 3 lines in 2026
8%92%1%
2.69
3
Teresa Cueto
77W–119L career · 4 lines in 2026
9%90%1%
2.67
3
Naomi Mora
52W–52L career · 3 lines in 2026
9%90%1%
2.67
3
XIAOOU ZHUANG
20W–28L career · 2 lines in 2026
10%90%1%
2.67
3
Cat Zimmermann
10W–24L career · 2 lines in 2026
26%74%<1%
2.58
3
Natalia Kuznetsova
69W–74L career · 4 lines in 2026
48%52%<1%
2.50
2.5
Abby Miller
37W–56L career · 4 lines in 2026
0%71%29%
2.43
Melody Robertson
1W–2L career · 2 lines in 2026
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.