Teams

NJD/Jersey Slammers

Adult 55 & Over Summer · 7.0 Men NJD

14 players · average NTRP 3.50 / NEW JERSEY

View scouting list →
Schedule4 played
2026-08-08vs We Have BallsWon 30
W#1 DoublesStefan Dombrowski / Sasha Zonic vs John Pagano / Keith Wright6-2, 6-2
W#2 DoublesJohann Lim / Aaron Daubert-Terrigno vs Theodore Moore / Brian Voorhees6-2, 6-2
W#3 DoublesIndranil Das / Harold Stern vs Edward Sullivan / James Sobkowiak6-1, 6-0
2026-08-08vs GoodfellasWon 30
W#1 DoublesSunil Dravida / Sasha Zonic vs Venkat Patla / Laxmana Akenapalli6-2, 6-1
W#2 DoublesMitchell Winkler / Donald Archer vs Stephen Giamboi / Krishnan Rajagopalan6-2, 6-2
W#3 DoublesIndranil Das / Teck Wong vs Mark Pollack / Sanjay Jain6-3, 6-2
2026-08-07vs GoodfellasWon 30
W#1 DoublesStefan Dombrowski / Satish Karandikar vs Stephen Giamboi / Krishnan Rajagopalan6-2, 6-2
W#2 DoublesHarold Stern / Teck Wong vs Rajesh Rao / Steven Yglesias6-2, 7-6
W#3 DoublesEric Hornstein / Stephen Moser vs Kiran Narsu / Kunal Banerjee6-1, 6-4
2026-08-07vs Garden State BlazersWon 30
W#1 DoublesJohann Lim / Aaron Daubert-Terrigno vs Robert Cui / Tian Hong6-2, 6-4
W#2 DoublesMitchell Winkler / Donald Archer vs Ximin Gong / Tie Zhao7-5, 4-3
W#3 DoublesSteven Kong / Stephen Moser vs Yihaur Lu / Kent Yang7-5, 5-6, 1-0
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 3.56 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.

3.91
Steven Kong
usually #3 Doubles 100% · published
3.75
Eric Hornstein
usually #3 Doubles 100% · published
3.74
Sasha Zonic
usually #1 Doubles 100% · published
3.61
Aaron Daubert-Terrigno
usually #1 Doubles 50%, also #2 Doubles 50% · published 3.5
3.60
Sunil Dravida
usually #1 Doubles 100% · published
3.56
Donald Archer
usually #2 Doubles 100% · published
3.53
Harold Stern
usually #2 Doubles 50%, also #3 Doubles 50% · published
3.50
Johann Lim
usually #1 Doubles 50%, also #2 Doubles 50% · published 3.5
3.43
Indranil Das
usually #3 Doubles 100% · published
3.41
Mitchell Winkler
usually #2 Doubles 100% · published
3.38
Teck Wong
usually #3 Doubles 50%, also #2 Doubles 50% · published
3.32
Prasada Vontipenta
published
Stefan Dombrowski
usually #1 Doubles 100% · published
Stephen Moser
usually #3 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.

Stefan Dombrowski + Mitchell Winkler5061% gamesnot enough data
Aaron Daubert-Terrigno + Johann Lim404 matchesnot enough data
Aaron Daubert-Terrigno + Prasada Vontipenta213 matchesnot enough data
Sunil Dravida + Prasada Vontipenta303 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.

Steven Kong
36W–11L career · 1 line in 2026
<1%75%25%
3.91
Eric Hornstein
23W–26L career · 1 line in 2026
4%93%4%
3.75
Sasha Zonic
11W–3L career · 2 lines in 2026
4%92%3%
3.74
3.5
Aaron Daubert-Terrigno
127W–73L career · 2 lines in 2026
<1%22%78%
3.61
Sunil Dravida
50W–18L career · 1 line in 2026
24%76%<1%
3.60
Donald Archer
27W–16L career · 2 lines in 2026
<1%32%68%
3.56
Harold Stern
66W–74L career · 2 lines in 2026
<1%42%58%
3.53
3.5
Johann Lim
83W–46L career · 2 lines in 2026
<1%50%50%
3.50
Indranil Das
43W–19L career · 2 lines in 2026
<1%70%30%
3.43
Mitchell Winkler
10W–0L career · 2 lines in 2026
<1%74%26%
3.41
Teck Wong
99W–58L career · 2 lines in 2026
<1%81%19%
3.38
Prasada Vontipenta
147W–101L career · no lines in 2026
1%89%10%
3.32
Stefan Dombrowski
25W–4L career · 2 lines in 2026
not enough data
Stephen Moser
19W–46L career · 2 lines 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.