Teams

Thunderbolts/Kuppa/Fremont

2025 Tri-Level 3.0 · 3.5

14 players · average NTRP 3.80 / NO. CALIFORNIA

View scouting list →
Schedule1 played
2025-04-04vs Put the ball away/Chang/SunnyvaleLost 12
L#1 DoublesRahul Madan / Joshua Levy vs Daniel Lloyd Pias / Kuan Chang3-6, 4-6
W#2 DoublesAchin Mishra / Hemanth K Popuri vs Sean Felder / Derrick Contreras1-6, 6-2, 1-0
L#3 DoublesKausik Misra / Dipankar Biswas vs Kevin Jiang / Derek Hillstrom3-6, 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 3.46 estimated across 13 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.

3.85
Srikant Kuppa
published 4
3.77
Nand Jha
published
3.72
Abhi Srivastva
published 4
3.71
Rahul Madan
usually #1 Doubles 100% · published
3.69
Joshua Levy
usually #1 Doubles 100% · published
3.58
Aaron Menezes
published 4
3.44
Arun Ramani
published 3.5
3.39
Achin Mishra
usually #2 Doubles 100% · published 3.5
3.35
Nitin Ramesh
published
3.24
Kausik Misra
usually #3 Doubles 100% · published
3.18
Dipankar Biswas
usually #3 Doubles 100% · published
2.93
Nivas Umapathy
published
Hemanth K Popuri
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.

Nand Jha + Srikant Kuppa14362% games+10.3% vs expected
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
Srikant Kuppa
83W–18L career · no lines in 2025
1%86%13%
3.85
Nand Jha
33W–5L career · no lines in 2025
<1%3%97%
3.77
4
Abhi Srivastva
11W–5L career · no lines in 2025
6%92%2%
3.72
Rahul Madan
11W–4L career · 1 line in 2025
7%91%2%
3.71
Joshua Levy
6W–1L career · 1 line in 2025
9%90%1%
3.69
4
Aaron Menezes
13W–15L career · no lines in 2025
27%72%<1%
3.58
3.5
Arun Ramani
12W–3L career · no lines in 2025
<1%65%35%
3.44
3.5
Achin Mishra
14W–8L career · 1 line in 2025
<1%79%21%
3.39
Nitin Ramesh
3W–2L career · no lines in 2025
1%84%15%
3.35
Kausik Misra
7W–6L career · 1 line in 2025
5%92%3%
3.24
Dipankar Biswas
5W–9L career · 1 line in 2025
10%89%1%
3.18
Udayakumar Thimma Janarthanan
16W–9L career · no lines in 2025
<1%18%82%
3.13
Nivas Umapathy
15W–9L career · no lines in 2025
<1%70%30%
2.93
Hemanth K Popuri
3W–1L 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.