Teams

Net Assets

2026 18&Over Men · 3.5

15 players · average NTRP 3.50 / NEW JERSEY 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 →
Schedule7 played
2026-07-20vs Bergen:WTF 18Won 10
W#2 DoublesSahil Sethi / Preet Hooda vs Danilo Correa / Zachary Ellenhorn6-2, 6-3
2026-07-13vs Guts & GloryWon 41
W#1 DoublesJay Kapur / Nirav Vasa vs Joseph Mendez / Bradley Kutcha6-2, 6-7, 1-0
W#1 SinglesChirag Doshi vs Andrew Lam6-4, 6-1
L#2 DoublesJohn Bae / Nan Hao vs Derek Cates / FLORIS VREEDENBURGH4-6, 1-6
W#2 SinglesWenda Zhou vs Igal Katan6-0, 6-4
W#3 DoublesAmit Sareen / Sahil Sethi vs Peter Norr / Alexander DiGuilio6-3, 7-6
2026-06-29vs Spin DoctorsWon 41
W#1 DoublesMatias di Spalatro / Amit Sareen vs John Yoon Kim / James Balthis3-6, 6-2, 1-0
W#1 SinglesWenda Zhou vs Scott Leiman6-3, 7-5
L#2 DoublesPeter Figueredo / John Bae vs John Kim / Eric Hwang0-6, 3-6
W#2 SinglesChirag Doshi vs Felix Hui6-3, 6-3
W#3 DoublesPreet Hooda / Sarabjit Singh vs Junyoung Choi / Edgar Cala6-1, 6-0
2026-06-26vs Spin DoctorsWon 32
W#1 DoublesPeter Figueredo / Nirav Vasa vs Will Coston / Scott Leiman6-3, 6-4
W#1 SinglesWenda Zhou vs Kishore Chandrasekharan6-7, 6-4, 1-0
L#2 DoublesJohn Bae / Nan Hao vs Allen Chung / John Kim1-6, 1-6
L#2 SinglesCraig Goldstein vs Eric Hwang2-6, 4-6
W#3 DoublesJay Kapur / Sahil Sethi vs Edgar Cala / Junyoung Choi6-1, 6-3
2026-06-15vs Bergen:WTF 18Split 11
L#1 DoublesCraig Goldstein / Preet Hooda vs Danilo Correa / Adam Pasquale4-6, 3-6
W#3 DoublesAmit Sareen / Sahil Sethi vs Brian Osborne / Michael Cirasola6-2, 4-6, 1-0
2026-06-08vs Guts & GloryLost 23
L#1 DoublesNan Hao / Matias di Spalatro vs Carlos Lopez / Joseph Mendez2-6, 6-2, 0-1
L#1 SinglesJay Kapur vs Bradley Kutcha5-7, 7-5, 0-1
W#2 DoublesAmit Sareen / Sahil Sethi vs FLORIS VREEDENBURGH / Derek Cates6-1, 6-4
W#2 SinglesChirag Doshi vs Igal Katan6-0, 6-2
L#3 DoublesVarun Gowthaman / Lorenzo Woodlin vs Daniel Aviles / SeeYin Ng6-7, 4-6
2026-06-01vs Bergen BashersLost 01
L#2 DoublesAmit Sareen / Craig Goldstein vs John Carlin / Ramesh Pamani1-6, 6-3, 0-1
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 standings for 3.5 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 3.26 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.

3.50
Nirav Vasa
usually #1 Doubles 38%, also #3 Doubles 25% · published
3.48
Sahil Sethi
usually #3 Doubles 67%, also #2 Doubles 33% · published
3.45
Peter Figueredo
usually #1 Doubles 50%, also #2 Doubles 50% · published
3.42
Chirag Doshi
usually #2 Singles 67%, also #1 Singles 33% · published 3.5
3.35
Preet Hooda
usually #1 Doubles 33%, also #3 Doubles 33% · published
3.33
Wenda Zhou
usually #1 Singles 67%, also #2 Singles 33% · published
Craig Goldstein
usually #2 Singles 100% · published 3.5
3.22
Amit Sareen
usually #2 Doubles 40%, also #3 Doubles 40% · published 3.5
3.18
Jay Kapur
usually #1 Singles 33%, also #3 Doubles 33% · published
3.13
Varun Gowthaman
usually #3 Doubles 100% · published
3.11
Sarabjit Singh
usually #3 Doubles 100% · published
3.03
Nan Hao
usually #2 Doubles 67%, also #1 Doubles 33% · published
2.88
John Bae
usually #2 Doubles 100% · published
Lorenzo Woodlin
usually #3 Doubles 100% · published
Matias di Spalatro
usually #1 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.

Sahil Sethi + Jay Kapur10752% games+6.3% vs expected
Preet Hooda + Amit Sareen9656% games+1.8% vs expected
Sarabjit Singh + Amit Sareen123 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.

Nirav Vasa
36W–21L career · 8 lines in 2026
<1%50%50%
3.50
Sahil Sethi
16W–10L career · 3 lines in 2026
<1%56%43%
3.48
Peter Figueredo
5W–6L career · 2 lines in 2026
<1%65%35%
3.45
3.5
Chirag Doshi
28W–14L career · 3 lines in 2026
<1%71%29%
3.42
Preet Hooda
53W–34L career · 3 lines in 2026
1%85%15%
3.35
Wenda Zhou
7W–2L career · 3 lines in 2026
1%88%11%
3.33
3.5
Craig Goldstein
1W–6L career · 1 line in 2026
not enough data
3.5
Amit Sareen
62W–47L career · 5 lines in 2026
6%92%2%
3.22
Jay Kapur
12W–17L career · 3 lines in 2026
10%89%1%
3.18
Varun Gowthaman
1W–8L career · 1 line in 2026
17%82%<1%
3.13
Sarabjit Singh
10W–24L career · 1 line in 2026
22%78%<1%
3.11
Nan Hao
0W–3L career · 3 lines in 2026
42%58%<1%
3.03
John Bae
0W–5L career · 3 lines in 2026
80%20%<1%
2.88
Lorenzo Woodlin
0W–1L career · 1 line in 2026
not enough data
Matias di Spalatro
1W–1L 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.