Teams

Warriors/Venkitakrishnan/San Ramon

2026 Tri-Level 3.0 · 3.5

15 players · average NTRP 3.44 / NO. CALIFORNIA

View scouting list →
Schedule4 played
L#1 DoublesChandra Mouli / Vishy Venkitakrishnan vs Gabriel Chan / Samuel Han4-6, 6-4, 0-1
W#2 DoublesRohit Chhabra / Balachandra Ambiga vs Derrick Contreras / Seiji Bellavigna6-2, 3-6, 1-0
W#3 DoublesChandrashekhar Muni / Jatin Khera vs Kyle Du / Zachary Dorsen6-7, 6-4, 1-0
2026-03-21vs Dream Team/Wei/SaratogaWon 21
W#1 DoublesMukundan Swaminathan / Harsha Varun vs Justin Kim / Shuchun Zhao7-5, 6-3
W#2 DoublesAnup Katariya / Amrish Pantvaidya vs Tony Zhang / Dalton Lobo Dias6-2, 3-6, 1-0
L#3 DoublesMoorthi Kothandaraman / Chandrashekhar Muni vs Zihao Zhou / Chang Lee7-6, 2-6, 0-1
2026-03-20vs Wukong/He/Palo AltoWon 21
W#1 DoublesMukundan Swaminathan / Chandra Mouli vs Sikai Huang / Wenxin He6-3, 6-4
W#2 DoublesAmrish Pantvaidya / Anup Katariya vs Jingfan Sun / Henry Lu6-3, 6-0
L#3 DoublesMoorthi Kothandaraman / JP Kopula vs Greg Xiong / Tianyi Wang4-6, 5-7
2026-03-20vs Framers/Hennessy/Walnut CreekWon 21
W#1 DoublesSathish Sridharan / Harsha Varun vs Christopher Lau / Eugene Beyder6-3, 2-6, 1-0
W#2 DoublesRohit Chhabra / Amrish Pantvaidya vs Todd Wong / Simon Tryzna6-4, 6-1
L#3 DoublesJatin Khera / Chandrashekhar Muni vs Randy Friedman / MAN YAU LIU5-7, 6-2, 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 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 3.41 estimated across 15 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.

4.06
Mukundan Swaminathan
usually #1 Doubles 100% · published
3.90
Sathish Sridharan
usually #1 Doubles 100% · published
3.76
Harsha Varun
usually #1 Doubles 100% · published 4
3.75
Chandra Mouli
usually #1 Doubles 100% · published 4
3.62
Vishy Venkitakrishnan
usually #1 Doubles 100% · published
3.54
Anup Katariya
usually #2 Doubles 100% · published 3.5
3.48
Amod Ghangurde
published 3.5
3.44
Amrish Pantvaidya
usually #2 Doubles 100% · published 3.5
3.43
Rohit Chhabra
usually #2 Doubles 100% · published
3.31
Balachandra Ambiga
published 3.5
3.10
Moorthi Kothandaraman
usually #3 Doubles 100% · published
3.03
Chandrashekhar Muni
usually #3 Doubles 100% · published 3
2.97
Jatin Khera
usually #3 Doubles 100% · published
2.90
JP Kopula
usually #3 Doubles 100% · published 3
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.

Rohit Chhabra + Amrish Pantvaidya4162% games+16.9% vs expected
Chandrashekhar Muni + Jatin Khera6156% games+4.5% vs expected
Vishy Venkitakrishnan + Amrish Pantvaidya2348% gamesnot enough data
Rohit Chhabra + Jatin Khera404 matchesnot enough data
Mukundan Swaminathan + Sathish Sridharan314 matchesnot enough data
Moorthi Kothandaraman + Jatin Khera224 matchesnot enough data
Sathish Sridharan + Chandra Mouli303 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.

Mukundan Swaminathan
16W–7L career · 2 lines in 2026
<1%33%67%
4.06
Sathish Sridharan
19W–3L career · 1 line in 2026
<1%77%23%
3.90
4
Harsha Varun
10W–2L career · 2 lines in 2026
2%94%3%
3.76
4
Chandra Mouli
11W–5L career · 2 lines in 2026
3%95%3%
3.75
Vishy Venkitakrishnan
12W–12L career · 1 line in 2026
18%81%<1%
3.62
3.5
Anup Katariya
9W–6L career · 2 lines in 2026
<1%38%62%
3.54
3.5
Amod Ghangurde
4W–2L career · no lines in 2026
<1%57%43%
3.48
3.5
Amrish Pantvaidya
17W–8L career · 3 lines in 2026
<1%67%33%
3.44
Rohit Chhabra
12W–3L career · 2 lines in 2026
<1%71%29%
3.43
3.5
Balachandra Ambiga
45W–13L career · no lines in 2026
1%92%7%
3.31
Moorthi Kothandaraman
11W–7L career · 2 lines in 2026
<1%22%78%
3.10
3
Chandrashekhar Muni
14W–5L career · 3 lines in 2026
<1%42%58%
3.03
Jatin Khera
26W–11L career · 2 lines in 2026
<1%60%40%
2.97
3
JP Kopula
5W–5L career · 1 line in 2026
<1%78%21%
2.90
3
Ferozgandhi Jambunathan
35W–34L career · no lines in 2026
<1%81%19%
2.88

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.