Teams

Bhagwagar/McHugh

2024 18&Over Mixed Manhattan · 7.0 Mixed

23 players · average NTRP 3.61 / 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
2024-02-01vs Man: Lam/MinkWon 21
W#1 DoublesWinson Wong / Parul Sangwan vs Raymond Cho / Marija Vareikaite7-6, 0-6, 1-0
L#2 DoublesLeonardo King / Claire Chang vs Patrick Tsai / Susan Lee2-6, 6-3, 1-0
W#3 DoublesAaron Sun / Jacquelyn Lipson vs Patrick Brown / Tran Lam6-1, 6-0
2024-01-21vs BernsteinSplit 11
W#1 DoublesShien Lee / Claire Chang vs Dominic Rice / Christine Shuler6-3, 6-4
L#2 DoublesMaximilian Paulus / Margaret Xu vs Thomas Artaki / Leigh Flayton2-6, 6-4, 0-1
2024-01-16vs IshizawaWon 30
W#1 DoublesEric Laderman / Claire Chang vs Manan Patel / Sarahjean Marhone5-7, 6-1
W#2 DoublesKazuharu Hara / Yasuko Hayashi vs Derek Zhao / Summer Than4-6, 6-2, 1-0
W#3 DoublesJEHAN BHAGWAGAR / Darcy Pancir vs Cliff Jones / Tetiana Sears6-4, 6-3
2024-01-10vs NY BagelersWon 21
L#1 DoublesEric Laderman / Darcy Pancir vs Lulu Huang / David Alfonso3-6, 1-6
W#2 DoublesArchie Alvarez / Sheila Chang vs Sydney Scott / Yuchen Wan6-4, 6-3
W#3 DoublesScott McHugh / Anita Venkiteswaran vs Elise LaCarrubba / Christopher Loh6-3, 6-4
2024-01-07vs Lekser/SasakiLost 12
W#1 DoublesEric Laderman / Claire Chang vs Hasnain Khan / Kate Kelly7-5, 6-3
L#2 DoublesLeonardo King / Sheila Chang vs Tariq Habib / Charlotte Reiche0-6, 4-6
L#3 DoublesKazuharu Hara / Jacquelyn Lipson vs James Aiken / Ling Zhang6-7, 3-6
2023-12-17vs RosenbergWon 30
W#1 DoublesWinson Wong / Parul Sangwan vs David Adelman / Ilana Adelman6-2, 6-0
W#2 DoublesMaximilian Paulus / Margaret Xu vs Chris Spargo / Laura Friedman6-1, 6-2
W#3 DoublesKazuharu Hara / Yasuko Hayashi vs David Crotty / Sandra Borrelle6-1, 6-1
2023-12-13vs Love AllWon 21
W#1 DoublesShien Lee / Anita Venkiteswaran vs TK Kong / Susan Hu6-2, 6-0
L#2 DoublesHisao Takahashi / Diana Lee vs Jordon Jew / Rosanna Tapang3-6, 2-6
W#3 DoublesJEHAN BHAGWAGAR / Darcy Pancir vs Yat Choi / Lucia Carey6-1, 6-1
2023-12-11vs JMTA All StarsWon 30
W#1 DoublesAvi Berg / Jane Wang vs Shuichi Adachi / Yuki Adachi6-4, 6-3
W#2 DoublesLeonardo King / Sheila Chang vs Carlos Alvarez Posadilla / Sarah Tintle6-4, 6-2
W#3 DoublesArchie Alvarez / Diana Lee vs Harsh Gupta / Jenni Bounds6-0, 6-2
2023-12-06vs NiWon 30
W#1 DoublesLeonardo King / Elizabeth Sharp vs Wei-Ming Koh / Lauren Yu7-5, 4-6, 1-0
W#2 DoublesAvi Berg / Jane Wang vs Kevin Ni / Emily Gosti6-2, 7-5
W#3 DoublesWinson Wong / Parul Sangwan vs Ming Ying / Annie Qiu6-3, 6-4
2023-11-28vs BindlerWon 21
L#1 DoublesAnita Venkiteswaran / Winson Wong vs Shelby Slauer / Alex Rabinovich6-3, 3-6, 0-1
W#2 DoublesJane Wang / Avi Berg vs Julien Li / Jonathan Belelieu6-4, 6-3
W#3 DoublesElizabeth Yuan / Kazuharu Hara vs Jennifer Sales / Marcin Rojek6-4, 6-6
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 7.0 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 3.37 estimated across 17 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.

4.11
Parul Sangwan
usually #1 Doubles 67%, also #3 Doubles 33% · published
3.94
Eric Laderman
usually #1 Doubles 57%, also #2 Doubles 29% · published 4
3.88
Leonardo King
usually #1 Doubles 50%, also #2 Doubles 40% · published
3.80
Anita Venkiteswaran
usually #1 Doubles 60%, also #2 Doubles 30% · published 4
3.80
Winson Wong
usually #1 Doubles 75%, also #3 Doubles 25% · published 4
Archie Alvarez
usually #2 Doubles 50%, also #3 Doubles 50% · published 4
Elizabeth Yuan
usually #2 Doubles 50%, also #3 Doubles 33% · published 4
3.54
Hisao Takahashi
usually #2 Doubles 80%, also #3 Doubles 20% · published 4
3.50
Jane Wang
usually #3 Doubles 50%, also #2 Doubles 38% · published
3.44
JEHAN BHAGWAGAR
usually #3 Doubles 50%, also #2 Doubles 50% · published 3.5
3.21
Avi Berg
usually #2 Doubles 67%, also #1 Doubles 33% · published 3.5
3.21
Margaret Xu
usually #2 Doubles 75%, also #3 Doubles 25% · published 3.5
3.21
Claire Chang
usually #1 Doubles 60%, also #2 Doubles 40% · published 3.5
3.19
Jacquelyn Lipson
usually #3 Doubles 80%, also #1 Doubles 20% · published 3.5
3.08
Kazuharu Hara
usually #3 Doubles 70%, also #2 Doubles 30% · published
3.08
Diana Lee
usually #3 Doubles 67%, also #2 Doubles 33% · published 3
2.86
Scott McHugh
usually #3 Doubles 100% · published
2.84
Shien Lee
usually #1 Doubles 100% · published
Elizabeth Sharp
usually #1 Doubles 100% · published 3
2.62
Darcy Pancir
usually #1 Doubles 38%, also #3 Doubles 38% · published 3
Maximilian Paulus
usually #2 Doubles 100% · published
Sheila Chang
usually #2 Doubles 100% · published
Yasuko Hayashi
usually #2 Doubles 63%, also #1 Doubles 25% · 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.

Anita Venkiteswaran + Archie Alvarez8267% games+23.0% vs expected
Elizabeth Yuan + Kazuharu Hara5358% games+4.1% vs expected
Leonardo King + Jane Wang6453% games−4.0% vs expected
Avi Berg + Jane Wang7357% gamesnot enough data
Leonardo King + Elizabeth Sharp6252% gamesnot enough data
Shien Lee + Jane Wang3254% gamesnot enough data
Scott McHugh + Anita Venkiteswaran404 matchesnot enough data
Shien Lee + Anita Venkiteswaran314 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.

Parul Sangwan
57W–35L career · 3 lines in 2024
21%79%<1%
4.11
4
Eric Laderman
111W–69L career · 7 lines in 2024
<1%69%31%
3.94
Leonardo King
86W–51L career · 10 lines in 2024
<1%83%17%
3.88
4
Anita Venkiteswaran
111W–73L career · 10 lines in 2024
1%93%6%
3.80
4
Winson Wong
86W–77L career · 8 lines in 2024
1%93%6%
3.80
4
Archie Alvarez
54W–50L career · 2 lines in 2024
not enough data
4
Elizabeth Yuan
24W–25L career · 6 lines in 2024
not enough data
4
Hisao Takahashi
61W–74L career · 5 lines in 2024
37%63%<1%
3.54
Jane Wang
88W–80L career · 8 lines in 2024
50%50%<1%
3.50
3.5
JEHAN BHAGWAGAR
99W–142L career · 4 lines in 2024
<1%68%32%
3.44
3.5
Avi Berg
71W–61L career · 3 lines in 2024
5%94%1%
3.21
3.5
Margaret Xu
72W–53L career · 4 lines in 2024
5%94%1%
3.21
3.5
Claire Chang
31W–45L career · 5 lines in 2024
5%94%1%
3.21
3.5
Jacquelyn Lipson
38W–28L career · 5 lines in 2024
7%92%1%
3.19
Kazuharu Hara
46W–44L career · 10 lines in 2024
26%74%<1%
3.08
3
Diana Lee
79W–70L career · 3 lines in 2024
<1%28%72%
3.08
Scott McHugh
114W–52L career · 1 line in 2024
<1%86%14%
2.86
Shien Lee
57W–92L career · 4 lines in 2024
89%11%<1%
2.84
3
Elizabeth Sharp
28W–18L career · 2 lines in 2024
not enough data
3
Darcy Pancir
34W–30L career · 8 lines in 2024
18%82%<1%
2.62
Maximilian Paulus
17W–2L career · 2 lines in 2024
not enough data
Sheila Chang
34W–21L career · 3 lines in 2024
not enough data
Yasuko Hayashi
7W–12L career · 8 lines in 2024
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.