Teams

SGV Underdogs Aces-Ponnaganti/Diamond Bar HS/SA10:

2026 Winter Team Singles · SGV - Men 3.5

9 players · average NTRP 3.50 / SO.CALIFORNIA

View scouting list →
Schedule6 played
W#1 SinglesManish Anand vs Abraam Guirguis6-2, 3-6, 1-0
W#2 SinglesPavan Akkimsetty vs Thai Nguyen6-3, 5-7, 1-0
L#3 SinglesBasudev Thoppai Vidyasankar vs Daniel Espeseth3-6, 5-7
W#1 SinglesSandeep Kamalon vs Yijun Zhang7-5, 3-6, 1-0
W#2 SinglesPavan Akkimsetty vs Kenneth Chen6-2, 7-5
L#1 SinglesPavan Akkimsetty vs Neal St. Clair6-4, 2-6, 0-1
L#2 SinglesManish Anand vs Daniel Herman1-6, 7-6, 0-1
W#3 SinglesJonathan Phan vs Wilson Tran6-2, 7-5
2026-02-07vs SGV Team Lee-WN/SU2Won 30
W#1 SinglesPavan Akkimsetty vs Sangho Kim6-4, 6-3
W#2 SinglesSandeep Kamalon vs Jingyum Kim6-2, 6-2
W#3 SinglesJonathan Phan vs Steve Choi3-6, 6-4, 1-0
2026-01-24vs SGV Padawans-GAMEZ-WN/SA12Lost 12
L#1 SinglesSandeep Kamalon vs Gustavo Diaz Gamez4-6, 5-7
W#2 SinglesManish Anand vs Sergio Navarro6-2, 6-0
L#3 SinglesBasudev Thoppai Vidyasankar vs Kirby Xu6-0, 2-6, 0-1
2026-01-11vs SGV Busy Beavers-Lin-CalTech/SU10Lost 12
W#1 SinglesPavan Akkimsetty vs Yuxi Huang6-2, 6-3
L#2 SinglesJonathan Phan vs Steven Lin6-7, 4-6
L#3 SinglesDerek Novacek vs Han Xu3-6, 5-7
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 standings7 teams · SGV - Men 3.5
TeamWLInd. WInd. LSets lostGames lost
1SGV LLW Heavy Hitters-St Clair-Arcadia/SA14211716140
2SGV Hot Shots Redemption-Nguyen-Palm Park/SA24211718153
3SGV Padawans-GAMEZ-WN/SA124211718167
4SGV Underdogs Titans-Bandaru-Diamond Bar HS/SA10:30339919162
5SGV Underdogs Aces-Ponnaganti/Diamond Bar HS/SA10:3310820167
6SGV Busy Beavers-Lin-CalTech/SU103381023181
7SGV Team Lee-WN/SU20631532201

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 3.31 estimated across 6 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.

3.48
Pavan Akkimsetty
usually #1 Singles 60%, also #2 Singles 40% · published
3.42
Jonathan Phan
usually #3 Singles 67%, also #2 Singles 33% · published
3.40
Sandeep Kamalon
usually #1 Singles 67%, also #2 Singles 33% · published
3.37
Manish Anand
usually #2 Singles 67%, also #1 Singles 33% · published
3.26
Basudev Thoppai Vidyasankar
usually #3 Singles 100% · published 3.5
Chinna Ponnaganti
published 3.5
Derek Novacek
usually #3 Singles 100% · published 3.5
2.95
Ramesh Bandaru
published
Sanjaye Elayattu
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.

Pavan Akkimsetty
10W–7L career · 5 lines in 2026
<1%57%43%
3.48
Jonathan Phan
12W–13L career · 3 lines in 2026
<1%72%28%
3.42
Sandeep Kamalon
11W–6L career · 3 lines in 2026
<1%78%22%
3.40
Manish Anand
7W–6L career · 3 lines in 2026
<1%84%16%
3.37
3.5
Basudev Thoppai Vidyasankar
4W–8L career · 2 lines in 2026
2%95%3%
3.26
3.5
Chinna Ponnaganti
1W–4L career · no lines in 2026
not enough data
3.5
Derek Novacek
2W–2L career · 1 line in 2026
not enough data
Ramesh Bandaru
20W–26L career · no lines in 2026
<1%64%36%
2.95
Sanjaye Elayattu
1W–1L career · no lines in 2026
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.