Teams

SGV Underdogs Deuces-ChangDiamond Bar HS/SU8

2025 Adult Division - 40& Over San Gabriel Valley · SGV - Men 3.5

17 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 →
Schedule4 played
2025-04-06vs SoCal/Luzzi/40&Over3.5MLost 04
L#1 DoublesDavid Shin / Ted Shen vs Rudy Tatang / Ruben Ron4-6, 1-6
L#1 SinglesPavan Akkimsetty vs Mike Mon3-6, 6-4, 0-1
L#2 DoublesSean Chang / Yijun Zhang vs Gerald Alphonse / Irineo Galvan4-6, 2-6
L#3 DoublesAndy Hsieh / Leighton Kekuewa vs Joseph Luzzi / Benjamin Wang2-6, 2-6
2025-03-15vs WC SGV Maple Team-Lin-WN-SA10Lost 13
L#1 DoublesManish Anand / Pavan Akkimsetty vs Alan Lee / George Huang5-7, 3-6
W#1 SinglesJonathan Phan vs Robert Estrada6-3, 6-1
L#2 DoublesJuan Ramirez / Ted Shen vs CHENG QIAN / Rick Le2-6, 2-6
L#3 DoublesRussel Segawa / David Shin vs Jun Yuan / Jacky Lin7-6, 1-6, 0-1
W#1 DoublesSandeep Kamalon / Pavan Akkimsetty vs Neal St. Clair / Mark Read6-1, 6-1
W#1 SinglesJonathan Phan vs Daniel Herman4-6, 6-4, 1-0
W#2 DoublesYijun Zhang / Ted Shen vs Fred Kao / Tim Green6-1, 6-3
W#3 DoublesOscar Alberto Bonilla / Sean Chang vs Stephen Backus / David Adelstein6-3, 6-2
L#1 DoublesJuan Ramirez / David Shin vs Jon Pang / Simon Tieu4-6, 6-7
L#1 SinglesYingDong Lin vs Atish Mohanty1-6, 4-6
W#2 DoublesManish Anand / Yijun Zhang vs Steven Chow / Sonny Luo6-0, 6-4
L#3 DoublesSean Chang / Leighton Kekuewa vs Yeng Keong Low / Patrick Chu3-6, 7-6, 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 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 3.30 estimated across 11 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 Doubles 67%, also #1 Singles 33% · published
3.46
David Shin
usually #1 Doubles 67%, also #3 Doubles 33% · published 3.5
3.42
Jonathan Phan
usually #1 Singles 100% · published
3.40
Sandeep Kamalon
usually #1 Doubles 100% · published
3.40
Oscar Alberto Bonilla
usually #3 Doubles 100% · published
3.37
Manish Anand
usually #1 Doubles 50%, also #2 Doubles 50% · published
3.36
Ted Shen
usually #2 Doubles 67%, also #1 Doubles 33% · published
Chinna Ponnaganti
published 3.5
3.24
Yijun Zhang
usually #2 Doubles 100% · published
3.16
Russel Segawa
usually #3 Doubles 100% · published
3.02
Sean Chang
usually #3 Doubles 67%, also #2 Doubles 33% · published
3.00
Andy Hsieh
usually #3 Doubles 100% · published 3.5
Juan Ramirez
usually #2 Doubles 50%, also #1 Doubles 50% · published
Leighton Kekuewa
usually #3 Doubles 100% · published
Sanjaye Elayattu
published
Troy de la Cruz
published
YingDong Lin
usually #1 Singles 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.

David Shin + Ted Shen5164% gamesnot enough data
Juan Ramirez + David Shin123 matchesnot enough data
Oscar Alberto Bonilla + Ted Shen303 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.

Pavan Akkimsetty
10W–7L career · 3 lines in 2025
<1%57%43%
3.48
3.5
David Shin
16W–15L career · 3 lines in 2025
<1%62%38%
3.46
Jonathan Phan
12W–13L career · 2 lines in 2025
<1%72%28%
3.42
Sandeep Kamalon
11W–6L career · 1 line in 2025
<1%78%22%
3.40
Oscar Alberto Bonilla
7W–1L career · 1 line in 2025
<1%78%22%
3.40
Manish Anand
7W–6L career · 2 lines in 2025
<1%84%16%
3.37
Ted Shen
21W–16L career · 3 lines in 2025
<1%85%14%
3.36
3.5
Chinna Ponnaganti
1W–4L career · no lines in 2025
not enough data
Yijun Zhang
11W–24L career · 3 lines in 2025
3%95%2%
3.24
Russel Segawa
2W–10L career · 1 line in 2025
10%89%<1%
3.16
Sean Chang
2W–8L career · 3 lines in 2025
44%56%<1%
3.02
3.5
Andy Hsieh
2W–9L career · 1 line in 2025
51%49%<1%
3.00
Juan Ramirez
2W–6L career · 2 lines in 2025
not enough data
Leighton Kekuewa
1W–7L career · 2 lines in 2025
not enough data
Sanjaye Elayattu
1W–1L career · no lines in 2025
not enough data
Troy de la Cruz
8W–0L career · no lines in 2025
not enough data
YingDong Lin
0W–1L career · 1 line in 2025
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.