Teams

Tang

2026 18&Over Mixed Manhattan · 8.0 Mixed

24 players · average NTRP 4.08 / 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
2026-02-05vs NYC ready mixLost 12
W#1 DoublesSofia Cherkasova / Daniel Rabinovich vs Soo Ji Park / Rob Montgomery2-6, 7-6
L#2 DoublesGang He / Mary Mondello vs Marijus Kuzavas / Maya Furumoto3-6, 2-6
L#3 DoublesAndrew Long / Elena Danova vs Daniel Zimmon / Bonnie Aves2-6, 2-6
2026-01-21vs Hockett/WortmanSplit 11
W#1 DoublesDaniel Rabinovich / Sofia Cherkasova vs Daniel Bindler / Jennifer Sales6-4, 7-5
L#2 DoublesAndy Mei / Jane Wang vs Pam Widener / Atul Singh7-5, 1-6, 0-1
2026-01-14vs Eastern/Damarasingu/18&Over8.0XDLost 03
L#1 DoublesDaniel Rabinovich / Mary Mondello vs Bella Echevarria / Lawrence Wang5-7, 1-6
L#2 DoublesKiran Pant / Sumer Sharma vs Ling Zhang / Patrick Knise3-6, 6-7
L#3 DoublesTamara Casteels / Andy Mei vs Yoeur-Man Teagan MacH / Gabriel Birman1-6, 3-6
2026-01-04vs HirshWon 20
W#1 DoublesJames Camp / Kiran Pant vs William Loh / Erica Garfinkel4-6, 7-5, 1-0
W#3 DoublesAnna Tang / Gang He vs Jonathan Hirsh / Kelsey Desiderio6-3, 7-6
2025-12-07vs Mixed SignalsWon 30
W#1 DoublesAnna Tang / Andy Mei vs Mary Consiglio / Andre Lewis6-0, 6-0
W#2 DoublesAnita Venkiteswaran / Daniel Rabinovich vs Martin Lheritier / Le Yang6-2, 6-1
W#3 DoublesKiran Pant / Matthew Bae vs Stephen Bogda / Connie Wang6-1, 6-1
2025-12-01vs Chang/McHughLost 03
L#1 DoublesAnna Tang / Jeremy Seiferth vs Melody Peng / Varun Srinivasan0-6, 2-6
L#2 DoublesTamara Casteels / Alastair James vs Tanya Kotov / Eric Laderman1-6, 1-6
L#3 DoublesNyago Frank / Elena Danova vs Meiko Boynton / Alex Du2-6, 3-6
2025-11-23vs Nelson/WongSplit 11
L#2 DoublesMary Mondello / Andrew Long vs Erica Newman / Ryan Zuckerman6-7, 4-6
W#3 DoublesMatthew Bae / Kiran Pant vs Lindsey Chin / Rishabh Mohan6-2, 6-2
2025-11-15vs Brod/GonzalezLost 03
L#1 DoublesMary Mondello / Whitney Tilson vs Olivia Dalglish / Ian Gregory-Davis4-6, 3-6
L#2 DoublesAnita Venkiteswaran / Joseph Appert vs Megan Kelley / Eric Bomgardner4-6, 6-4, 0-1
L#3 DoublesAnna Tang / Gang He vs Tim Heine / Alex Brown2-6, 2-6
2025-10-28vs RobichekWon 21
W#1 DoublesMary Mondello / Sumer Sharma vs Laurie Elvove / Marc Cohen7-5, 6-4
L#2 DoublesEmily Ma / Nyago Frank vs Rebecca Wehrle / Sadik Sendich4-6, 2-6
W#3 DoublesSofia Cherkasova / Whitney Tilson vs Frances Buckley / Blake Callaway6-3, 6-0
2025-10-19vs Ahn MisnerWon 21
L#1 DoublesJane Wang / Andy Mei vs Ahmad Amin / Lulu Huang3-6, 2-6
W#2 DoublesAnna Tang / Jeremy Seiferth vs N/A6-0, 6-0
W#3 DoublesSumer Sharma / Kiran Pant vs Tran Lam / Roni Dotan6-2, 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 standings for 8.0 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 3.68 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.

3.92
Sofia Cherkasova
usually #1 Doubles 67%, also #3 Doubles 33% · published
3.91
Kiran Pant
usually #3 Doubles 67%, also #1 Doubles 22% · published
3.88
Anna Tang
usually #3 Doubles 40%, also #1 Doubles 40% · published 4.5
3.83
Mary Mondello
usually #1 Doubles 60%, also #2 Doubles 40% · published 4
3.82
Whitney Tilson
usually #3 Doubles 50%, also #1 Doubles 50% · published
3.80
Daniel Rabinovich
usually #1 Doubles 75%, also #2 Doubles 25% · published 4
3.80
Andy Mei
usually #1 Doubles 50%, also #3 Doubles 25% · published 4
3.75
Anita Venkiteswaran
usually #2 Doubles 100% · published 4
Alastair James
usually #2 Doubles 100% · published 4
3.63
Tamara Casteels
usually #1 Doubles 43%, also #3 Doubles 29% · published
3.55
Joseph Appert
usually #2 Doubles 50%, also #3 Doubles 50% · published
3.52
Pamela Salud
usually #2 Doubles 50%, also #1 Doubles 25% · published
3.29
Jane Wang
usually #3 Doubles 50%, also #1 Doubles 25% · published
3.12
Elena Danova
usually #3 Doubles 100% · published
Andrew Long
usually #2 Doubles 50%, also #3 Doubles 50% · published
Emily Ma
usually #2 Doubles 100% · published
Emily Rizer
published
Gang He
usually #3 Doubles 50%, also #2 Doubles 50% · published
James Camp
published
Jeremy Seiferth
usually #2 Doubles 50%, also #1 Doubles 50% · published
Matthew Bae
usually #3 Doubles 100% · published
Nyago Frank
usually #3 Doubles 100% · published
Patrick Duvalsaint
published
Sumer Sharma
usually #2 Doubles 100% · 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.

Anna Tang + Alastair James5744% games−10.1% vs expected
Jeremy Seiferth + Anna Tang71148% gamesnot enough data
Anna Tang + Daniel Rabinovich3251% gamesnot enough data
Kiran Pant + Daniel Rabinovich303 matchesnot enough data
Anita Venkiteswaran + Daniel Rabinovich303 matchesnot enough data
Pamela Salud + James Camp123 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.

Sofia Cherkasova
14W–4L career · 3 lines in 2026
70%30%<1%
3.92
Kiran Pant
48W–31L career · 9 lines in 2026
<1%73%27%
3.91
4.5
Anna Tang
166W–107L career · 5 lines in 2026
81%19%<1%
3.88
4
Mary Mondello
237W–161L career · 5 lines in 2026
1%88%11%
3.83
Whitney Tilson
58W–34L career · 2 lines in 2026
1%89%10%
3.82
4
Daniel Rabinovich
132W–85L career · 4 lines in 2026
2%91%8%
3.80
4
Andy Mei
4W–4L career · type S · 4 lines in 2026
2%91%7%
3.80
4
Anita Venkiteswaran
111W–73L career · 2 lines in 2026
4%93%4%
3.75
4
Alastair James
10W–13L career · type M · 1 line in 2026
not enough data
Tamara Casteels
57W–26L career · 7 lines in 2026
<1%<1%>99%
3.63
Joseph Appert
16W–12L career · 2 lines in 2026
36%64%<1%
3.55
Pamela Salud
35W–25L career · 4 lines in 2026
<1%<1%>99%
3.52
Jane Wang
85W–79L career · 4 lines in 2026
93%7%<1%
3.29
Elena Danova
23W–70L career · 2 lines in 2026
>99%<1%<1%
3.12
Andrew Long
2W–8L career · 2 lines in 2026
not enough data
Emily Ma
0W–1L career · 1 line in 2026
not enough data
Emily Rizer
11W–5L career · no lines in 2026
not enough data
Gang He
3W–3L career · 2 lines in 2026
not enough data
James Camp
3W–7L career · no lines in 2026
not enough data
Jeremy Seiferth
9W–13L career · 2 lines in 2026
not enough data
Matthew Bae
2W–0L career · 2 lines in 2026
not enough data
Nyago Frank
0W–3L career · 1 line in 2026
not enough data
Patrick Duvalsaint
0W–3L career · no lines in 2026
not enough data
Sumer Sharma
2W–6L career · 1 line 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.