Teams

CDTA W 18&OM4.0 5.XS Talcherkar Sat 3 $27

CDTA 1Winter 18 & Over W · E

3 players · average NTRP / CHICAGO

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 →
Schedule8 played
L#1 DoublesSameer Talcherkar / Christopher Carpenter vs Dan Stolar / Danny Postel2-6, 2-6
L#2 DoublesJon Stoper / Shaan Chadha vs Kedar Bhat / Naveen Mohideen7-6, 4-5, 0-1
W#2 DoublesJon Stoper / Sameer Talcherkar vs Young Choi / Paul Tiu0-6, 7-6, 1-0
L#2 DoublesSteve Fuchs / Tony Lyu vs Bastien Emonnot / Daniel Mendoza4-6, 1-6
L#3 DoublesSameer Talcherkar / Christopher Carpenter vs David Chopp / Ty Caughell6-7, 3-5
2026-02-28Won 10
W#2 SinglesTony Lyu vs Ashu Mangal6-3, 6-7, 1-0
L#2 DoublesJon Stoper / Shaan Chadha vs Omar Montano / Karl Blase3-6, 0-6
2026-02-07Lost 01
L#2 DoublesNathan Teoh / Jon Stoper vs Connor Moelmann / Greg Goalwin1-6, 6-7
L#2 DoublesSameer Talcherkar / Jon Stoper vs Dennis Abdelnour / William Irwin5-7, 2-5
L#3 DoublesPhillip Torres / Sameer Talcherkar vs Adrian Ciuca / Joseph Daumen1-6, 2-6
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 standings13 teams · E
TeamWLInd. WInd. LSets lostGames lost
1CDTA W 18&OM4.0 4.RT Ciuca Sun 4 $27120501029369
2CDTA W 18&OM4.0 10.Tam Huh Sun 5 $22102461436366
3CDTA W 18&OM4.0 13.Gnbk Hui Sun 5 $30102392150464
4CDTA W 18&OM4.0 7.FV Takahashi Sat 2 $2583361944352
5CDTA W 18&OM4.0 3.MTC Brown Sun 12 $33.575352554483
6CDTA W 18&OM4.0 1.STP Zhou Sun 3 $2266332761473
7CDTA W 18&OM4.0 6.Tam Bhat Sat 3 $2257253575510
8CDTA W 18&OM4.0 8.Tam Franks Sat 1 $2257253576584
9CDTA W 18&OM4.0 12.Naper Podwika Sat 2 $2448223876555
10CDTA W 18&OM4.0 9.CPW Balu Sat 6 $2848243677551
11CDTA W 18&OM4.0 5.XS Talcherkar Sat 3 $2738213474489
12CDTA W 18&OM4.0 2.WSC Isphording Sun 2 $22210184293620
13CDTA W 18&OM4.0 11.OBTC OMalley Sun 7 $221111149102661

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 3.58 estimated across 3 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.

3.76
Tony Lyu
usually #2 Doubles 50%, also #2 Singles 50% · published
3.55
Sameer Talcherkar
usually #3 Doubles 40%, also #2 Doubles 40% · published
3.43
Jon Stoper
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.

Sameer Talcherkar + Jon Stoper123 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.

Tony Lyu
64W–49L career · 2 lines in 2026
2%95%3%
3.76
Sameer Talcherkar
14W–45L career · 5 lines in 2026
35%65%<1%
3.55
Jon Stoper
7W–21L career · 5 lines in 2026
71%29%<1%
3.43

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.