Teams

Metro: Lee/Thalrose

2026 18&Over Mixed Queens · 6.0 Mixed

21 players · average NTRP 3.06 / METROPOLITAN REGION

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 →
Schedule10 played
2026-04-11vs Tennis ElbowsWon 30
W#1 DoublesRichard Birgler / Anna Zhu vs Shashi Doni / Tara St-Pierre2-6, 6-0, 1-0
W#2 DoublesJennifer Lam / Cary Chow Tomkee Jr vs Vikram D'Mello / Lysa Scarselli6-2, 6-3
W#3 DoublesJimmy Fung / Annie Goldsmith vs Adam Reich / Fulya Li6-2, 6-1
2026-03-29vs No Strings AttachedWon 21
L#1 DoublesMandy Lee / Charles Hsieh vs Jiyan Mao / Jiayong Li6-4, 3-6, 1-0
W#2 DoublesRichard Birgler / Anna Zhu vs Yue Sun / Chunyang Xu6-1, 6-1
W#3 DoublesAnnie Goldsmith / Cary Chow Tomkee Jr vs Derrick Leonard / Lorena Esparragoza6-3, 6-1
2026-03-22vs Liu/QiuLost 03
L#1 DoublesLuis Martinez / Lily Lee vs Samuel Cabrera / Linda Liu3-6, 6-4, 0-1
L#2 DoublesAnnie Goldsmith / Jimmy Fung vs Yin Lam Lee / Sean Zhang6-2, 4-6, 0-1
L#3 DoublesEugene Chin / Ida Vidic vs Oleksandra Gomon / Boyang Zhang7-6, 5-6
2026-03-18vs Ishizawa/AsheWon 30
W#1 DoublesJennifer Lam / Luis Martinez vs Rie Bohn / Shaurya Thakur6-1, 6-3
W#2 DoublesMandy Lee / Charles Hsieh vs Stephanie Miao / Robert Jereski6-1, 6-4
W#3 DoublesJimmy Fung / Karen Ledoux vs CARLA GALLARDO / Fernando Sanchez6-2, 6-3
2026-03-08vs Taur/WuWon 30
W#1 DoublesMichael Tatara / Christine Ryu vs Jeremy Law / Michelle Lien6-2, 6-3
W#2 DoublesLily Lee / Luis Martinez - * vs Jeffrey Kim / Maggie Zhang5-7, 7-6
W#3 DoublesJonat Lok / Milica Zgaljic vs Justin Pau / Britney Yee6-1, 6-1
2026-03-01vs Tennis ElbowsWon 21
L#1 DoublesEva Nemeth Fredericks / Georgi Yanchev vs Sandeep Kochar / Marcelle de Soares4-6, 1-6
W#2 DoublesJimmy Fung / Christine Ryu vs Yan Zhou / Steve Kuo6-3, 7-5
W#3 DoublesJennifer Lam / Luis Martinez vs Samuel Lee / Fulya Li6-1, 6-2
2026-02-19vs Liu/QiuWon 30
W#1 DoublesEva Nemeth Fredericks / Georgi Yanchev vs Linda Liu / Warton Du6-3, 6-3
W#2 DoublesMilica Zgaljic / Michael Tatara vs Jill Ji / Sijun Wang6-1, 6-2
W#3 DoublesJennifer Mao / Luis Martinez vs Yin Lam Lee / Jason Lim6-2, 6-2
2026-02-11vs Ishizawa/AsheWon 21
W#1 DoublesJennifer Mao / Luis Martinez vs Stephanie Miao / Robert Jereski6-1, 6-2
L#2 DoublesJonat Lok / Ida Vidic vs Fumie Ishizawa / Rittik Chakrabarty0-6, 2-6
W#3 DoublesEugene Chin / Karen Ledoux vs CARLA GALLARDO / Fernando Sanchez6-7, 4-4
2026-02-02vs No Strings AttachedWon 30
W#1 DoublesEva Nemeth Fredericks / Georgi Yanchev vs Jiyan Mao / Jiayong Li6-2, 3-6, 1-0
W#2 DoublesMilica Zgaljic / Michael Tatara vs Naoto Yamamoto / Giselle Leon6-3, 6-2
W#3 DoublesMandy Lee / Luis Martinez vs Lorena Esparragoza / Derrick Leonard6-2, 6-2
2026-01-05vs Taur/WuLost 12
W#1 DoublesGeorgi Yanchev / Eva Nemeth Fredericks vs Jake Goldstein / Katherine Liu7-6, 4-6
L#2 DoublesEugene Chin / Karen Ledoux vs Alexander Kwon / Gianlucca Araneta0-6, 3-6
L#3 DoublesJonat Lok / Milica Zgaljic vs Justin Pau / Michelle Lien2-6, 4-6
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 Mixed 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 2.98 estimated across 10 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.

3.51
Richard Birgler
usually #2 Doubles 50%, also #1 Doubles 50% · published 3.5
3.47
Jennifer Lam
usually #2 Doubles 50%, also #1 Doubles 38% · published 3.5
3.34
Jennifer Mao
usually #1 Doubles 50%, also #3 Doubles 50% · published 3.5
3.16
Mandy Lee
usually #3 Doubles 40%, also #2 Doubles 40% · published
3.10
Christine Ryu
usually #1 Doubles 50%, also #2 Doubles 50% · published 3
2.85
Eva Nemeth Fredericks
usually #1 Doubles 100% · published
2.76
Milica Zgaljic
usually #3 Doubles 50%, also #2 Doubles 50% · published
2.75
Annie Goldsmith
usually #3 Doubles 67%, also #2 Doubles 33% · published 3
Cary Chow Tomkee Jr
usually #3 Doubles 50%, also #2 Doubles 50% · published 3
2.64
Karen Ledoux
usually #3 Doubles 57%, also #2 Doubles 29% · published 3
2.26
Anna Zhu
usually #2 Doubles 50%, also #1 Doubles 50% · published 2.5
Charles Hsieh
usually #1 Doubles 50%, also #2 Doubles 50% · published 2.5
Eugene Chin
usually #2 Doubles 57%, also #3 Doubles 29% · published
Georgi Yanchev
usually #1 Doubles 100% · published
Ida Vidic
usually #2 Doubles 50%, also #3 Doubles 50% · published
Jimmy Fung
usually #3 Doubles 57%, also #2 Doubles 43% · published
Jonat Lok
usually #3 Doubles 67%, also #2 Doubles 33% · published
Lily Lee
usually #2 Doubles 50%, also #1 Doubles 50% · published
Luis Martinez
usually #1 Doubles 43%, also #3 Doubles 43% · published
Michael Tatara
usually #2 Doubles 67%, also #1 Doubles 33% · published
Yan Jin
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.

Jennifer Lam + Jimmy Fung10457% gamesnot enough data
Lily Lee + Michael Tatara6160% gamesnot enough data
Milica Zgaljic + Jonat Lok5259% gamesnot enough data
Milica Zgaljic + Richard Birgler3356% gamesnot enough data
Christine Ryu + Michael Tatara4260% gamesnot enough data
Karen Ledoux + Eugene Chin1429% gamesnot enough data
Ida Vidic + Eugene Chin134 matchesnot enough data
Lily Lee + Luis Martinez044 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.

3.5
Richard Birgler
131W–63L career · 2 lines in 2026
<1%48%52%
3.51
3.5
Jennifer Lam
129W–53L career · type A · 8 lines in 2026
<1%58%42%
3.47
3.5
Jennifer Mao
144W–91L career · 2 lines in 2026
1%87%12%
3.34
Mandy Lee
53W–51L career · 5 lines in 2026
13%87%1%
3.16
3
Christine Ryu
22W–4L career · type S · 2 lines in 2026
<1%23%77%
3.10
Eva Nemeth Fredericks
28W–17L career · 4 lines in 2026
1%84%15%
2.85
Milica Zgaljic
37W–21L career · 4 lines in 2026
3%93%4%
2.76
3
Annie Goldsmith
3W–2L career · type S · 3 lines in 2026
4%93%4%
2.75
3
Cary Chow Tomkee Jr
3W–0L career · type S · 2 lines in 2026
not enough data
3
Karen Ledoux
150W–156L career · 7 lines in 2026
16%83%<1%
2.64
2.5
Anna Zhu
16W–10L career · type M · 2 lines in 2026
0%96%4%
2.26
2.5
Charles Hsieh
1W–1L career · type S · 2 lines in 2026
not enough data
Eugene Chin
6W–14L career · 7 lines in 2026
not enough data
Georgi Yanchev
3W–1L career · 4 lines in 2026
not enough data
Ida Vidic
3W–9L career · 2 lines in 2026
not enough data
Jimmy Fung
27W–7L career · 7 lines in 2026
not enough data
Jonat Lok
8W–6L career · 3 lines in 2026
not enough data
Lily Lee
25W–24L career · 2 lines in 2026
not enough data
Luis Martinez
5W–4L career · 7 lines in 2026
not enough data
Michael Tatara
15W–4L career · 3 lines in 2026
not enough data
Yan Jin
27W–24L career · no 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.