Teams

King/Kakumani/Fremont

2025 Tri-Level 4.0 · 4.5

10 players · average NTRP 4.50 / NO. CALIFORNIA

View scouting list →
Schedule3 played
2025-03-22vs Gladiators/Jefferson/San RamonWon 30
W#1 DoublesRohit Nakra / David Verdeflor vs Maxime Charlebois / Sam Behbehani0-6, 6-4, 1-0
W#2 DoublesJoshua Kaye / Vijay Sundaresan vs Nachiketh Gutti / Steve Berry6-4, 7-5
W#3 DoublesKen Ong / Nick Nguyen vs Joseph Huang / Shang Liu4-6, 6-4, 1-0
2025-03-21vs NorCal/Ngo/Tri-Level4.0/4.5/5.0MLost 03
L#1 DoublesDavid Verdeflor / Imran Allana vs Daniel Harris / Andrew Ngo3-6, 2-6
L#2 DoublesVijay Sundaresan / Joshua Kaye vs Michael Shin / Ashwin Seshadri Kalathur6-4, 3-6, 1-0
L#3 DoublesBoris Volosskiy / Ken Ong vs Jaewan Mun / Andy Ewing3-6, 4-6
2025-03-21vs Minions/Shih/Palo AltoWon 21
L#1 DoublesRohit Nakra / David Verdeflor vs Yipin Wu / Garrett Chun2-6, 3-6
W#2 DoublesImran Allana / Aneil Kamboj vs Alexander Loh / Allen Shih1-6, 6-4, 1-0
W#3 DoublesBoris Volosskiy / Sasideep Kakumani vs Jackie Guo / Chuo-Yun Yang7-6, 6-3
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 4.5 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 4.15 estimated across 10 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.

4.56
Joshua Kaye
usually #2 Doubles 100% · published
4.39
Imran Allana
usually #1 Doubles 50%, also #2 Doubles 50% · published 4.5
4.39
Rohit Nakra
usually #1 Doubles 100% · published
4.37
Aneil Kamboj
usually #2 Doubles 100% · published 4.5
4.29
David Verdeflor
usually #1 Doubles 100% · published 5
4.13
Boris Volosskiy
usually #3 Doubles 100% · published 4.5
4.07
Vijay Sundaresan
usually #2 Doubles 100% · published
3.77
Sasideep Kakumani
usually #3 Doubles 100% · published
3.75
Ken Ong
usually #3 Doubles 100% · published
3.74
Gino Alimario
published 4
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.

David Verdeflor + Imran Allana3248% gamesnot enough data
David Verdeflor + Rohit Nakra123 matchesnot enough data
Joshua Kaye + Rohit Nakra213 matchesnot enough data
Imran Allana + Rohit Nakra213 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.

Joshua Kaye
16W–18L career · 2 lines in 2025
32%68%<1%
4.56
4.5
Imran Allana
17W–8L career · 2 lines in 2025
<1%79%21%
4.39
Rohit Nakra
5W–5L career · 2 lines in 2025
79%21%<1%
4.39
4.5
Aneil Kamboj
11W–6L career · 1 line in 2025
<1%84%15%
4.37
5
David Verdeflor
7W–6L career · 3 lines in 2025
94%6%<1%
4.29
4.5
Boris Volosskiy
3W–5L career · 2 lines in 2025
16%84%<1%
4.13
Vijay Sundaresan
16W–9L career · 2 lines in 2025
30%70%<1%
4.07
Sasideep Kakumani
11W–4L career · 1 line in 2025
2%94%4%
3.77
Ken Ong
28W–9L career · 2 lines in 2025
3%95%3%
3.75
4
Gino Alimario
11W–7L career · no lines in 2025
3%94%2%
3.74

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.