Teams

Wepplo

Adult 55 & Over Summer · 7.0 Men NJD

16 players · average NTRP 3.50 / NEW JERSEY

View scouting list →
Schedule4 played
2026-08-09vs BaselinersWon 30
W#1 DoublesMichael Cirasola / Andrew Finkle vs Gopal Nair / Kevin Yang4-6, 6-4, 1-0
W#2 DoublesMatthew Lieber / Zion Chen vs Ramesh Ragothaman / Najam Khan6-1, 6-4
W#3 DoublesPhill Karali / Kirk LeCompte vs John Cason / Sunil Nair6-3, 6-1
2026-08-08vs VVS StarsWon 30
W#1 DoublesSam Saad / Bruce Brodowski vs Venkatesan Padyachi / Sumit Sahay6-1, 6-1
W#2 DoublesSteven Pellerin / Kelly Fife vs Fabio Shuyama / William Biller6-0, 6-4
W#3 DoublesThomas Birkbeck / Phill Karali vs Kameswaran Ramanathan / Ramu Govindasamy6-0, 6-2
2026-08-08vs Princeton KnightsWon 21
W#1 DoublesMichael Cirasola / Sam Saad vs Mansour Rismanchi / Frederick Scott Belgard3-6, 6-3, 1-0
W#2 DoublesMatthew Lieber / Gary Lindenbaum vs Amit Shroff / Biswajit Datta6-1, 6-2
L#3 DoublesAndrew Jubelt / Micheal Leung vs Ramkumar Pandurangan / Ravi Bhatheja3-6, 3-6
2026-08-07vs Thampoe LegacyWon 21
W#1 DoublesMichael Cirasola / Andrew Finkle vs Mark Nagel / Daniel Higgins6-3, 6-5
L#2 DoublesKelly Fife / Steven Pellerin vs Arthur Ferrante / Leonard Charles6-7, 2-4
W#3 DoublesSam Saad / Bruce Brodowski vs Chanaka Amarasinghe / Craig Provorny6-3, 2-1
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 standings8 teams · 7.0 Men NJD
TeamWLInd. WInd. LSets lostGames lost
1NJD/Jersey Slammers04120163
2Garden State Blazers0493666
3Wepplo04102674
4Thampoe Legacy0493777
5Princeton Knights04751089
6Goodfellas0421021135
7We Have Balls0411123139
8VVS Stars0401224144

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 3.45 estimated across 9 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.

3.90
Rudolf van Mol
published
3.74
Matthew Lieber
usually #2 Doubles 100% · published
3.48
Andrew Finkle
usually #1 Doubles 100% · published 3.5
3.44
Steven Pellerin
usually #2 Doubles 100% · published
3.39
Phill Karali
usually #3 Doubles 100% · published
3.31
Thomas Birkbeck
usually #3 Doubles 100% · published
3.29
Michael Cirasola
usually #1 Doubles 100% · published
3.27
Bruce Brodowski
usually #3 Doubles 50%, also #1 Doubles 50% · published 3.5
Andrew Jubelt
usually #3 Doubles 100% · published 3.5
Andy Goodman
published 3.5
3.19
Kirk LeCompte
usually #3 Doubles 100% · published
Gary Lindenbaum
usually #2 Doubles 100% · published
Kelly Fife
usually #2 Doubles 100% · published
Micheal Leung
usually #3 Doubles 100% · published
Sam Saad
usually #1 Doubles 67%, also #3 Doubles 33% · published
Zion Chen
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.

Michael Cirasola + Phill Karali5159% games+4.2% vs expected
Steven Pellerin + Kelly Fife7265% gamesnot enough data
Steven Pellerin + Michael Cirasola303 matchesnot enough data
Steven Pellerin + Bruce Brodowski303 matchesnot enough data
Michael Cirasola + Andrew Finkle213 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.

Rudolf van Mol
327W–239L career · no lines in 2026
<1%76%24%
3.90
Matthew Lieber
86W–41L career · 2 lines in 2026
4%93%3%
3.74
3.5
Andrew Finkle
52W–44L career · 2 lines in 2026
<1%55%45%
3.48
Steven Pellerin
61W–31L career · 2 lines in 2026
<1%66%34%
3.44
Phill Karali
76W–64L career · 2 lines in 2026
<1%78%22%
3.39
Thomas Birkbeck
4W–3L career · 1 line in 2026
1%90%9%
3.31
Michael Cirasola
145W–107L career · 3 lines in 2026
2%92%6%
3.29
3.5
Bruce Brodowski
20W–39L career · 2 lines in 2026
3%92%5%
3.27
3.5
Andrew Jubelt
3W–5L career · type A · 1 line in 2026
not enough data
3.5
Andy Goodman
3W–3L career · no lines in 2026
not enough data
Kirk LeCompte
12W–25L career · 1 line in 2026
8%90%1%
3.19
Gary Lindenbaum
3W–1L career · 1 line in 2026
not enough data
Kelly Fife
21W–14L career · 2 lines in 2026
not enough data
Micheal Leung
15W–34L career · 1 line in 2026
not enough data
Sam Saad
6W–7L career · 3 lines in 2026
not enough data
Zion Chen
5W–5L 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.