Teams

SGV Underdogs Aces-Luzzi-Diamond Bar HS/SU8

2026 Adult Division - 40& Over San Gabriel Valley · SGV - Men 3.5

15 players · average NTRP 3.50 / SO.CALIFORNIA

No matches recorded for this roster in this league — it may be a placeholder registration, or the season may not have started.

View scouting list →
Schedule9 played
2026-03-22vs SGV Dare Doubles-Pang-WN/SU10Won 30
W#1 DoublesJonathan Phan / Oscar Oyama vs James Grollman / Larry Reed6-0, 6-1
W#2 DoublesRuben Ron / David Shin vs Jon Pang / TAREK BABA6-3, 6-1
W#3 DoublesTed Shen / Oscar Alberto Bonilla vs Atish Mohanty / Patrick Mbazuigwe6-1, 6-1
L#1 DoublesGerald Alphonse / Neeraj Gupta vs Rick Le / ALFRED CONCEPCION4-6, 3-6
L#1 SinglesSandeep Kamalon vs Matthew Hui1-6, 6-4, 0-1
L#2 DoublesOscar Oyama / Ruben Ron vs Vic Kan / Roger Yin6-7, 4-6
L#3 DoublesMarcio Rodrigues / David Shin vs Noel Nepomuceno / Dusty Summers2-6, 3-6
W#1 DoublesOscar Oyama / Ruben Ron vs Jose Lopez / Rajappa Venkataramappa7-5, 6-3
W#1 SinglesSandeep Kamalon vs Russel Segawa6-4, 6-3
W#2 DoublesJoseph Luzzi / Jonathan Phan vs Chinna Ponnaganti / Kenneth Chen6-3, 7-5
W#3 DoublesChun Li / Rajasekar Ramasamy vs Venkatesan Karunanidhi / Sean Chang6-1, 6-1
W#1 DoublesGerald Alphonse / Oscar Oyama vs Cary Chee / Josh Berman6-1, 6-4
W#1 SinglesSandeep Kamalon vs Neal St. Clair6-4, 6-4
W#2 DoublesDavid Shin / Ruben Ron vs Tim Green / James Sowins6-0, 6-3
L#3 DoublesOscar Alberto Bonilla / Manish Anand vs Rick Leckrone / Daniel Herman4-6, 1-6
L#1 DoublesGerald Alphonse / Ruben Ron vs Ethan Park / Brian Ree2-6, 3-6
L#2 DoublesDavid Shin / Joseph Luzzi vs Gregory Lau / Jasen Ha1-6, 4-6
L#3 DoublesRajasekar Ramasamy / Chun Li vs Arthur Chmielewski / David Chian3-6, 6-3, 0-1
W#1 DoublesSandeep Kamalon / Ruben Ron vs Tyler Page / Yong Yoo7-5, 7-5
L#1 SinglesJonathan Phan vs Ramiro Rivas5-7, 3-6
W#2 DoublesMarcio Rodrigues / Ted Shen vs Daniel Sheehy / Peter Stokes6-1, 6-4
W#3 DoublesChun Li / David Shin vs Matthew Nix / Aaron Simpson6-1, 4-6, 1-0
2026-01-25vs SGV Ball Hogs-Yip-Arroyo/SU2Won 30
W#1 DoublesGerald Alphonse / Marcio Rodrigues vs Ronald Yip / Paul Nakashima6-1, 6-1
W#2 DoublesOscar Alberto Bonilla / Ted Shen vs Ian Kaufman / Kelly McMillen6-4, 6-3
W#3 DoublesRajasekar Ramasamy / Chun Li vs Jorge Encinas / Christian Schrader6-4, 6-1
W#1 DoublesNeeraj Gupta / Ruben Ron vs David Wong / Shih-Ching Wang6-0, 6-3
L#1 SinglesJonathan Phan vs Raed Maleeh3-6, 7-5, 1-0
W#2 DoublesTed Shen / Oscar Alberto Bonilla vs Mark Mendoza / David Stein6-2, 6-4
W#3 DoublesDavid Shin / Chun Li vs Andrew Weber / Mau Wong6-2, 6-2
2026-01-10vs SGV Maple Team-Lin-WN-SA10Won 31
W#1 DoublesDavid Shin / Neeraj Gupta vs Alan Lee / Jacky Lin6-4, 3-6, 1-0
L#1 SinglesJonathan Phan vs James Ko7-6, 5-7, 1-0
W#2 DoublesJoseph Luzzi / Oscar Alberto Bonilla vs Phong TA / Gustavus Bernal7-6, 5-7, 1-0
W#3 DoublesManish Anand / Sushant Mish vs Jun Yuan / Yijun Zhang4-6, 7-6, 1-0
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 SGV - Men 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 3.31 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.

3.41
Marcio Rodrigues
usually #1 Doubles 33%, also #2 Doubles 33% · published
3.41
David Shin
usually #3 Doubles 43%, also #2 Doubles 43% · published 3.5
3.39
Oscar Alberto Bonilla
usually #2 Doubles 60%, also #3 Doubles 40% · published
3.38
Jonathan Phan
usually #1 Singles 60%, also #1 Doubles 20% · published
3.36
Sandeep Kamalon
usually #1 Singles 75%, also #1 Doubles 25% · published
3.36
Manish Anand
usually #3 Doubles 100% · published
3.35
Gerald Alphonse
usually #1 Doubles 80%, also #2 Doubles 20% · published
3.29
Chun Li
usually #3 Doubles 100% · published 3.5
3.27
Rajasekar Ramasamy
usually #3 Doubles 100% · published
Chinna Ponnaganti
usually #2 Doubles 100% · published 3.5
3.24
Joseph Luzzi
usually #2 Doubles 100% · published
3.22
Ruben Ron
usually #1 Doubles 57%, also #2 Doubles 43% · published
3.21
Oscar Oyama
usually #1 Doubles 60%, also #2 Doubles 40% · published
3.15
Ted Shen
usually #3 Doubles 57%, also #2 Doubles 43% · published
Sushant Mish
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.

Oscar Oyama + Ruben Ron5160% games+4.2% vs expected
Rajasekar Ramasamy + Chun Li4261% games−0.2% vs expected
David Shin + Ted Shen5164% gamesnot enough data
David Shin + Ruben Ron2352% gamesnot enough data
Marcio Rodrigues + David Shin213 matchesnot enough data
Marcio Rodrigues + Ted Shen123 matchesnot enough data
Joseph Luzzi + Rajasekar Ramasamy123 matchesnot enough data
Joseph Luzzi + Ted Shen213 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.

Marcio Rodrigues
8W–4L career · 3 lines in 2026
<1%74%26%
3.41
3.5
David Shin
16W–15L career · 7 lines in 2026
<1%74%26%
3.41
Oscar Alberto Bonilla
7W–1L career · 5 lines in 2026
<1%78%22%
3.39
Jonathan Phan
12W–13L career · 5 lines in 2026
<1%81%19%
3.38
Sandeep Kamalon
11W–6L career · 4 lines in 2026
<1%83%16%
3.36
Manish Anand
7W–6L career · 2 lines in 2026
1%84%16%
3.36
Gerald Alphonse
22W–6L career · 5 lines in 2026
<1%1%99%
3.35
3.5
Chun Li
7W–3L career · type S · 5 lines in 2026
2%91%7%
3.29
Rajasekar Ramasamy
6W–5L career · 3 lines in 2026
3%92%5%
3.27
3.5
Chinna Ponnaganti
1W–4L career · 1 line in 2026
not enough data
Joseph Luzzi
9W–11L career · 3 lines in 2026
4%93%3%
3.24
Ruben Ron
18W–14L career · 7 lines in 2026
<1%6%94%
3.22
Oscar Oyama
14W–6L career · 5 lines in 2026
<1%6%94%
3.21
Ted Shen
21W–16L career · 7 lines in 2026
<1%14%86%
3.15
Sushant Mish
3W–1L career · 1 line 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.