Teams

Manhattan Commonpoint Queens

2023 18&Over Mixed Manhattan · 7.0 Mixed

21 players · average NTRP 3.64 / 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 →
Schedule12 played
2023-01-18vs Bindler/SlauerLost 02
L#1 DoublesTran Lam / Jeff Rea vs Shelby Slauer / Alex Rabinovich6-4, 1-6, 0-1
L#2 DoublesHayley Mink / Alex Oloriz vs Julien Li / Ray Yen1-6, 6-7
2023-01-11vs Funtime (Zhang)Won 30
W#1 DoublesTanya Kotov / Gian Arceo vs Alessandra Sassun / Daniel Rabinovich6-3, 2-6, 1-0
W#2 DoublesValerie Roland / Raymond Cho vs Ilana Adelman / David Adelman6-4, 6-4
W#3 DoublesHayley Mink / Kenta Nakajima vs Wanning Xu / Manuel Freitas6-1, 6-3
2023-01-04vs RosenbergWon 20
W#1 DoublesTran Lam / Christopher Lucas vs Sandra Borrelle / Timothy Collins6-3, 6-7, 1-0
W#3 DoublesChoi Fei Ko / Jake Villanueva vs Tara Bell / Joshua Lappin6-3, 6-1
2022-12-09vs CohenWon 20
W#1 DoublesTanya Kotov / Raymond Borno vs Gloria Kao Yu-Fen / Marcin Rojek6-0, 6-1
W#2 DoublesNicola Chiba / Kenta Nakajima vs Bianca Isabela Catoto / Ron Cohen6-3, 6-3
2022-12-04vs Bernstein/Linderman/FlaytonWon 20
W#1 DoublesHisao Takahashi / Tanya Kotov vs Lorri Ahl / Stefan Barbic7-5, 6-3
W#2 DoublesHayley Mink / Jake Villanueva vs Christine Shuler / Josiah Eberhart6-2, 6-2
2022-11-29vs Funtime (Zhang)Won 30
W#1 DoublesMimi Xu / Gian Arceo vs Zhihong Zhang / Wouter Dessein6-2, 6-1
W#2 DoublesNicola Chiba / Jeff Rea vs Justine Cooper / Joseph Stein7-6, 1-6, 1-0
W#3 DoublesDora Wu / Kelly Ng vs Ilana Adelman / David Adelman5-7, 7-5, 1-0
2022-11-17vs McHugh/BhagwagarWon 21
W#1 DoublesMimi Xu / Gian Arceo vs Anita Venkiteswaran / Avi Berg6-3, 5-7, 1-0
W#2 DoublesMarija Vareikaite / Raymond Cho vs Melody Peng / Eric Laderman6-1, 6-7, 1-0
L#3 DoublesKaren Ledoux / Raymond Borno vs Elizabeth Sharp / Leonardo King3-6, 2-6
2022-11-13vs Bindler/SlauerWon 30
W#1 DoublesMimi Xu / Hisao Takahashi vs Leela Ramnath / Nathan Clark6-2, 6-3
W#2 DoublesMarija Vareikaite / Raymond Cho vs Arabelle Chafe / Patrick Luib5-7, 6-3, 1-0
W#3 DoublesKaren Ledoux / Raymond Borno vs Thalia Rich / Matt Murphy6-4, 3-6, 1-0
2022-11-06vs RosenbergWon 21
L#1 DoublesHayley Mink / Christopher Lucas vs Julian Yarmouth / Rosemary Moukad3-6, 4-6
W#2 DoublesKaren Ledoux / Raymond Borno vs Tara Bell / Joshua Lappin6-2, 7-6
W#3 DoublesDora Wu / Kelly Ng vs Allison Rosenberg / Thomas Rinaldi6-4, 6-4
2022-10-28vs CohenWon 20
W#1 DoublesGian Arceo / Karen Ledoux vs Lorna Bian / Julian Mignott6-1, 6-0
W#2 DoublesChristopher Lucas / Nicola Chiba vs Ron Cohen / Carmen Ng7-5, 6-2
2022-10-23vs McHugh/BhagwagarLost 03
L#1 DoublesGian Arceo / Mimi Xu vs Eric Laderman / Melody Qiu3-6, 5-7
L#2 DoublesRaymond Cho / Dora Wu vs Christian Argiroff / Anita Venkiteswaran4-6, 5-7
L#3 DoublesChristopher Lucas / Tran Lam vs Kazuharu Hara / Elizabeth Yuan3-6, 0-6
2022-10-17vs Bernstein/Linderman/FlaytonWon 30
W#1 DoublesChoi Fei Ko / Emanuel Imperial vs Lisa Bernstein / Ten Ramos6-4, 7-6
W#2 DoublesJeff Rea / Marija Vareikaite vs Leigh Flayton / Henry Sandberg2-6, 6-2, 1-0
W#3 DoublesHisao Takahashi / Mimi Xu vs Thomas Artaki / Christine Shuler6-3, 6-3
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 standings4 teams · 7.0 Mixed
TeamWLInd. WInd. LSets lostGames lost
1Funtime (Zhang)011141942308
2McHugh/Bhagwagar012241227286
3Manhattan Commonpoint Queens01227928298
4Bernstein/Linderman/Flayton012181735301

Ordered by team wins, then losses, then sets lost — the order USTA uses to seed a flight. Individual wins are lines, not ties.

See the full flight, with every team’s record

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 3.35 estimated across 12 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.

3.81
Raymond Borno
usually #1 Doubles 40%, also #3 Doubles 40% · published 4
3.81
Tanya Kotov
usually #1 Doubles 100% · published 4
3.74
Kenta Nakajima
usually #1 Doubles 50%, also #2 Doubles 33% · published
3.63
Hayley Mink
usually #2 Doubles 50%, also #1 Doubles 25% · published 4
3.51
Marija Vareikaite
usually #2 Doubles 100% · published
3.48
Hisao Takahashi
usually #1 Doubles 50%, also #2 Doubles 33% · published
3.38
Dora Wu
usually #3 Doubles 67%, also #2 Doubles 33% · published 4
3.25
Tran Lam
usually #1 Doubles 80%, also #3 Doubles 20% · published
Christopher Lucas
usually #1 Doubles 50%, also #2 Doubles 25% · published 3.5
3.25
Jeff Rea
usually #2 Doubles 67%, also #1 Doubles 33% · published
2.94
Raymond Cho
usually #2 Doubles 100% · published
2.80
Choi Fei Ko
usually #1 Doubles 60%, also #2 Doubles 20% · published 3
2.64
Karen Ledoux
usually #2 Doubles 57%, also #3 Doubles 29% · published 3
Emanuel Imperial
usually #1 Doubles 100% · published
Gian Arceo
usually #1 Doubles 100% · published
Kelly Henson
published
Kelly Ng
published
Mimi Xu
usually #1 Doubles 80%, also #3 Doubles 20% · published
Nicola Chiba
usually #2 Doubles 67%, also #3 Doubles 17% · published
Paul Patras
published
Valerie Roland
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.

Kelly Henson + Paul Patras9069% gamesnot enough data
Hayley Mink + Hisao Takahashi224 matchesnot enough data
Hayley Mink + Kenta Nakajima314 matchesnot enough data
Jeff Rea + Dora Wu314 matchesnot enough data
Christopher Lucas + Tran Lam224 matchesnot enough data
Karen Ledoux + Raymond Borno213 matchesnot enough data
Raymond Cho + Marija Vareikaite213 matchesnot enough data
Gian Arceo + Mimi Xu213 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.

4
Raymond Borno
113W–120L career · 5 lines in 2023
1%90%9%
3.81
4
Tanya Kotov
196W–88L career · 3 lines in 2023
1%90%8%
3.81
Kenta Nakajima
21W–23L career · 6 lines in 2023
5%92%3%
3.74
4
Hayley Mink
190W–122L career · 4 lines in 2023
17%82%<1%
3.63
Marija Vareikaite
167W–82L career · 3 lines in 2023
47%53%<1%
3.51
Hisao Takahashi
61W–74L career · 6 lines in 2023
57%43%<1%
3.48
4
Dora Wu
157W–116L career · 3 lines in 2023
81%19%<1%
3.38
Tran Lam
78W–64L career · 5 lines in 2023
4%93%4%
3.25
3.5
Christopher Lucas
13W–8L career · 4 lines in 2023
not enough data
Jeff Rea
30W–28L career · 3 lines in 2023
4%93%4%
3.25
Raymond Cho
31W–36L career · 4 lines in 2023
67%33%<1%
2.94
3
Choi Fei Ko
82W–70L career · 5 lines in 2023
2%91%7%
2.80
3
Karen Ledoux
150W–156L career · 7 lines in 2023
16%83%<1%
2.64
Emanuel Imperial
34W–19L career · 1 line in 2023
not enough data
Gian Arceo
20W–18L career · 5 lines in 2023
not enough data
Kelly Henson
25W–6L career · no lines in 2023
not enough data
Kelly Ng
8W–5L career · no lines in 2023
not enough data
Mimi Xu
16W–11L career · 5 lines in 2023
not enough data
Nicola Chiba
39W–21L career · 6 lines in 2023
not enough data
Paul Patras
14W–2L career · no lines in 2023
not enough data
Valerie Roland
11W–19L career · no lines in 2023
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.