Teams

Thunderbolts/Kudupu/Fremont

2026 Tri-Level 3.0 · 3.5

17 players · average NTRP 3.57 / NO. CALIFORNIA

View scouting list →
Schedule4 played
W#1 DoublesBalachandra Rangaswamy / Nand Jha vs Gabriel Chan / John Santos4-6, 6-4
W#2 DoublesKulvinder Singh / Avinash Viswanathan vs Andrew Lee / Michael Wong6-3, 7-5
W#3 DoublesAmit Agarwal / Manoj Selukar vs Edwin Palang / Zachary Dorsen6-0, 6-1
2026-03-21vs DPTG TFT/Paladugu/DublinWon 21
L#1 DoublesBalachandra Rangaswamy / William Du vs Praveenkumar Davidson / Saptarshi Roy3-6, 4-6
W#2 DoublesAveer Thakur / Avinash Viswanathan vs Vicente Belizario / Santhosh Kumar Kuchoor6-4, 7-5
W#3 DoublesAmit Agarwal / Manoj Selukar vs Gurmeet Singh / Srini Parimi6-3, 6-3
2026-03-20vs Dream Team/Wei/SaratogaLost 12
W#1 DoublesNand Jha / Srikant Kuppa vs Raj Talluri / Jair Saavedra6-3, 6-2
L#2 DoublesChirag Mehta / Avinash Viswanathan vs Bill Wei / Dalton Lobo Dias6-3, 3-6, 0-1
L#3 DoublesNivas Umapathy / Sumanth Ghanta vs Zihao Zhou / Chang Lee3-6, 4-6
2026-03-20vs Wukong/He/Palo AltoWon 21
W#1 DoublesSekar Mokachandra / Balachandra Rangaswamy vs Sikai Huang / Ping Yu7-5, 7-6
L#2 DoublesAveer Thakur / Kulvinder Singh vs Shi Dong / Henry Lu6-4, 4-6, 0-1
W#3 DoublesUdayakumar Thimma Janarthanan / Manoj Selukar vs Jiye Wu / Tianyi Wang6-3, 3-6, 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 standings15 teams · 3.5
TeamWLInd. WInd. LSets lostGames lost
1DPTG/Mangonon/Pleasanton40120182
2Slicebro/Sun/Sunnyvale4093995
3Warriors/Venkitakrishnan/San Ramon408412106
4Thunderbolts/Kudupu/Fremont318410104
5DPTG TFT/Paladugu/Dublin318411111
6Dream Team/Wei/Saratoga317512105
7RoyalFlush/Tjoa/Dublin225715117
8Wukong/He/Palo Alto136615124
9Blackhawk Tennis Villains/Dacayanan/Danville135716125
10DVTC/Dasgupta/Danville135718134
11Mishits/Lewis/Burlingame134818129
12Aces Wild/Alves/San Jose133918119
13Silent Assassins/Santos/San Francisco134819133
14Framers/Hennessy/Walnut Creek134820134
15Pain in the Ace/Austero/Oakley0421021135

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 3.44 estimated across 16 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
Nand Jha
usually #1 Doubles 100% · published
3.89
Balachandra Rangaswamy
usually #1 Doubles 100% · published 4
3.80
Srikant Kuppa
usually #1 Doubles 100% · published 4
3.74
William Du
usually #1 Doubles 100% · published
3.62
Avinash Viswanathan
usually #2 Doubles 100% · published 3.5
3.57
Sekar Mokachandra
usually #1 Doubles 100% · published
3.49
Chirag Mehta
usually #2 Doubles 100% · published 3.5
3.45
Aveer Thakur
usually #2 Doubles 100% · published 3.5
3.45
Kulvinder Singh
published 3.5
3.44
Padmakiran K S
published
3.26
Prathap Kudupu
published
3.17
Amit Agarwal
usually #3 Doubles 100% · published 3
3.12
Udayakumar Thimma Janarthanan
usually #3 Doubles 100% · published
3.11
Manoj Selukar
usually #3 Doubles 100% · published
3.09
Sumanth Ghanta
usually #3 Doubles 100% · published
2.92
Nivas Umapathy
usually #3 Doubles 100% · published
Vikas Shah
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.

Nand Jha + Srikant Kuppa14362% games+8.8% vs expected
Srikant Kuppa + Kulvinder Singh4165% gamesnot enough data
Udayakumar Thimma Janarthanan + Sumanth Ghanta404 matchesnot enough data
Udayakumar Thimma Janarthanan + Manoj Selukar404 matchesnot enough data
Sumanth Ghanta + Manoj Selukar404 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.

Nand Jha
33W–5L career · 2 lines in 2026
<1%76%24%
3.91
4
Balachandra Rangaswamy
33W–12L career · 3 lines in 2026
<1%81%19%
3.89
4
Srikant Kuppa
83W–18L career · 1 line in 2026
1%92%7%
3.80
William Du
10W–7L career · 1 line in 2026
3%95%2%
3.74
3.5
Avinash Viswanathan
19W–9L career · 3 lines in 2026
<1%18%82%
3.62
Sekar Mokachandra
9W–3L career · 1 line in 2026
31%69%<1%
3.57
3.5
Chirag Mehta
6W–2L career · 1 line in 2026
<1%52%48%
3.49
3.5
Aveer Thakur
8W–4L career · 2 lines in 2026
<1%64%36%
3.45
3.5
Kulvinder Singh
107W–33L career · no lines in 2026
<1%64%36%
3.45
Padmakiran K S
18W–14L career · no lines in 2026
<1%67%33%
3.44
Prathap Kudupu
21W–25L career · no lines in 2026
2%95%3%
3.26
3
Amit Agarwal
19W–2L career · 2 lines in 2026
<1%9%91%
3.17
Udayakumar Thimma Janarthanan
16W–9L career · 1 line in 2026
<1%18%82%
3.12
Manoj Selukar
20W–3L career · 3 lines in 2026
<1%20%80%
3.11
Sumanth Ghanta
13W–9L career · 1 line in 2026
<1%25%75%
3.09
Nivas Umapathy
15W–9L career · 1 line in 2026
<1%72%28%
2.92
Vikas Shah
5W–11L career · no 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.