Teams

DVTC/Dasgupta/Danville

2026 Tri-Level 3.0 · 3.5

12 players · average NTRP 3.75 / NO. CALIFORNIA

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Schedule4 played
W#1 DoublesPraveen Subramanian / Riyazudeen Abdul Subhan vs Robert Greer / Steve Meyer6-7, 6-4, 1-0
L#2 DoublesGiridharan Anandan / Prashant Jagannathan vs Scott Takishita / Ashok Ganesan6-0, 6-7, 0-1
L#3 DoublesPathanjali Krishnasamy / S George Wong vs Fadhly Bey / William Facteau2-6, 6-3, 0-1
2026-03-21vs RoyalFlush/Tjoa/DublinLost 12
L#1 DoublesBahurudeen Mohamed / Punyanjan Sen vs John Chen / Parshudar Poonamallee Kothandaraman1-6, 2-6
W#2 DoublesPrashant Jagannathan / Pritesh Dasgupta vs Suhardi Tjoa / Jeff Tsai6-3, 3-6, 1-0
L#3 DoublesTapas Panda / Saravanakumar Srinivasan vs Eric Zhang / Sebastian Su2-6, 5-7
2026-03-20vs Aces Wild/Alves/San JoseWon 30
W#1 DoublesBahurudeen Mohamed / Punyanjan Sen vs Wade Conklin / Mark Alves7-6, 6-4
W#2 DoublesPritesh Dasgupta / Prashant Jagannathan vs Ahmer Khan / Peng Xi7-6, 5-7, 1-0
W#3 DoublesTapas Panda / Saravanakumar Srinivasan vs Thomas Stuckey / Ben Evans6-4, 1-6, 1-0
2026-03-20vs DPTG/Mangonon/PleasantonLost 03
L#1 DoublesMANICKARAJA KUMARAPPAN / Praveen Subramanian vs Ritesh Bhandari / Bryan Wendleton5-7, 1-6
L#2 DoublesGiridharan Anandan / Sujith CM vs Devank Agarwal / Gabriel Mangonon5-7, 2-6
L#3 DoublesPathanjali Krishnasamy / S George Wong vs Kirankumar Thungala / Arjun Kumar4-6, 4-6
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 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 3.32 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.

3.90
Bahurudeen Mohamed
usually #1 Doubles 100% · published 4
3.65
MANICKARAJA KUMARAPPAN
usually #1 Doubles 100% · published
3.63
Punyanjan Sen
usually #1 Doubles 100% · published
3.63
Riyazudeen Abdul Subhan
usually #1 Doubles 100% · published
3.49
Sujith CM
usually #2 Doubles 100% · published
3.47
Prashant Jagannathan
usually #2 Doubles 100% · published
3.27
Pritesh Dasgupta
usually #2 Doubles 100% · published
3.19
Giridharan Anandan
published 3.5
3.07
Pathanjali Krishnasamy
usually #3 Doubles 100% · published
3.01
S George Wong
usually #3 Doubles 100% · published
2.85
Tapas Panda
usually #3 Doubles 100% · published
2.72
Saravanakumar Srinivasan
usually #3 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.

Prashant Jagannathan + Giridharan Anandan1452% gamesnot enough data
Prashant Jagannathan + MANICKARAJA KUMARAPPAN314 matchesnot enough data
Pathanjali Krishnasamy + S George Wong224 matchesnot enough data
Prashant Jagannathan + Sujith CM213 matchesnot enough data
Pritesh Dasgupta + Giridharan Anandan213 matchesnot enough data
Giridharan Anandan + Sujith CM033 matchesnot enough data
Saravanakumar Srinivasan + Tapas Panda123 matchesnot enough data
Bahurudeen Mohamed + Punyanjan Sen213 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.

4
Bahurudeen Mohamed
21W–8L career · 2 lines in 2026
<1%75%25%
3.90
MANICKARAJA KUMARAPPAN
12W–10L career · 1 line in 2026
<1%15%85%
3.65
Punyanjan Sen
8W–7L career · 2 lines in 2026
<1%17%83%
3.63
Riyazudeen Abdul Subhan
10W–8L career · 1 line in 2026
<1%18%82%
3.63
Sujith CM
15W–10L career · 1 line in 2026
<1%52%48%
3.49
Prashant Jagannathan
17W–9L career · 3 lines in 2026
<1%58%42%
3.47
Pritesh Dasgupta
11W–9L career · 2 lines in 2026
3%92%5%
3.27
3.5
Giridharan Anandan
62W–99L career · no lines in 2026
9%90%1%
3.19
Pathanjali Krishnasamy
8W–4L career · 2 lines in 2026
<1%32%68%
3.07
S George Wong
12W–11L career · 2 lines in 2026
<1%47%53%
3.01
Tapas Panda
15W–11L career · 2 lines in 2026
1%85%14%
2.85
Saravanakumar Srinivasan
3W–6L career · 2 lines in 2026
5%92%2%
2.72

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.