Teams

Thunderbolts/Kudupu/Fremont

2025 Tri-Level 3.0 · 3.5

15 players · average NTRP 3.79 / NO. CALIFORNIA

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Schedule2 played
2025-04-05vs The Boopers/Hennessy/Walnut CreekWon 21
L#1 DoublesMuthu Kumaran Ramanathan / Azeem Syed vs Garvin Tom / Chris Alexander2-6, 0-6
W#2 DoublesChirag Mehta / Ravindra Samson vs Kevin Hennessy / Albert Blake6-4, 5-7, 1-0
W#3 DoublesPrathap Kudupu / Vikas Shah vs Randy Friedman / Kiflom Aregawi6-4, 6-3
2025-04-04vs King Iron Monkey/He/Palo AltoLost 12
L#1 DoublesAditya Bhuwania / Manish Tomar vs Wenxin He / Shang Liu4-6, 3-6
W#2 DoublesGovind Duddi / ARUNKUMAR VIJAYAKUMAR vs Nanxuan Huang / Shi Dong7-5, 6-3
L#3 DoublesVikas Shah / Gulshan Kharbanda vs Jo Zhang / Edison Huang2-6, 3-6
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 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 3.47 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.

3.86
3.86
Abhinav Rana
published 4
ARUNKUMAR VIJAYAKUMAR
usually #2 Doubles 100% · published 4
3.63
Muthu Kumaran Ramanathan
usually #1 Doubles 100% · published
3.59
Aditya Bhuwania
usually #1 Doubles 100% · published 4
3.55
Manish Tomar
usually #1 Doubles 100% · published
3.48
Sekar Mokachandra
published
3.47
Chirag Mehta
usually #2 Doubles 100% · published 3.5
3.46
Kulvinder Singh
published 3.5
3.39
Prashant Srivastav
published
Azeem Syed
usually #1 Doubles 100% · published 3.5
3.23
Prathap Kudupu
usually #3 Doubles 100% · published
3.06
Ravindra Samson
usually #2 Doubles 100% · published
3.01
Gulshan Kharbanda
usually #3 Doubles 100% · published
Govind Duddi
usually #2 Doubles 100% · published
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.

4
Balachandra Rangaswamy
34W–12L career · no lines in 2025
<1%83%16%
3.86
4
Abhinav Rana
2W–2L career · no lines in 2025
<1%83%16%
3.86
4
ARUNKUMAR VIJAYAKUMAR
1W–2L career · 1 line in 2025
not enough data
Muthu Kumaran Ramanathan
3W–6L career · 1 line in 2025
18%81%<1%
3.63
4
Aditya Bhuwania
18W–9L career · 1 line in 2025
27%73%<1%
3.59
Manish Tomar
3W–2L career · 1 line in 2025
37%63%<1%
3.55
Sekar Mokachandra
9W–4L career · no lines in 2025
<1%55%45%
3.48
3.5
Chirag Mehta
6W–2L career · 1 line in 2025
<1%58%42%
3.47
3.5
Kulvinder Singh
107W–33L career · no lines in 2025
<1%61%39%
3.46
Prashant Srivastav
22W–8L career · no lines in 2025
<1%78%22%
3.39
3.5
Azeem Syed
0W–1L career · type A · 1 line in 2025
not enough data
Prathap Kudupu
21W–25L career · 1 line in 2025
5%92%3%
3.23
Ravindra Samson
4W–7L career · 1 line in 2025
34%66%<1%
3.06
Gulshan Kharbanda
7W–9L career · 1 line in 2025
46%54%<1%
3.01
Govind Duddi
3W–0L career · 1 line in 2025
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.