Teams

SGV Dare Doubles-Pang-WN/SU

2025 Winter Team Singles · SGV - Men 3.5

11 players · average NTRP 3.33 / SO.CALIFORNIA

View scouting list →
Schedule6 played
2025-03-29vs SGV LLW Padawans-GAMEZ-WN/SALost 12
W#1 SinglesJason Ng vs Paul Tu6-2, 6-3
L#2 SinglesJon Pang vs Gustavo Diaz Gamez1-6, 2-6
L#3 SinglesSonny Luo vs Sergio Navarro7-6, 5-7, 0-1
W#2 SinglesReid Hirata vs Perry Xie6-3, 6-4
L#3 SinglesCharles Do vs Wilson Tran2-6, 1-6
2025-02-22vs SGV LLW Padawans-GAMEZ-WN/SALost 03
L#1 SinglesJason Ng vs Nico Paolella5-7, 0-6
L#2 SinglesReid Hirata vs Gustavo Diaz Gamez1-6, 3-6
L#3 SinglesSammy Chang vs Paul Tu2-6, 4-6
W#1 SinglesDavid Hillel vs Perry Xie6-3, 6-0
L#2 SinglesVic Kan vs Derek La4-6, 3-6
L#3 SinglesCharles Do vs Bryant Wu1-6, 1-6
2025-02-02vs SGV LLW Padawans-GAMEZ-WN/SAWon 10
W#2 SinglesMel Cabral vs Paul Tu3-6, 2-1
L#1 SinglesSammy Chang vs Thai Nguyen6-4, 1-6, 0-1
L#2 SinglesSonny Luo vs Derek La7-6, 1-6, 0-1
W#3 SinglesJason Ng vs Wilson Tran6-2, 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 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 3.16 estimated across 8 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.

3.44
Vic Kan
usually #2 Singles 100% · published
3.38
Mel Cabral
usually #2 Singles 100% · published 3.5
David Hillel
usually #1 Singles 100% · published 3.5
3.24
Roger Yin
published
3.24
Sammy Chang
usually #1 Singles 50%, also #3 Singles 50% · published
3.19
Justin Lee
published
3.16
Jason Ng
usually #1 Singles 67%, also #3 Singles 33% · published
2.91
Charles Do
usually #3 Singles 100% · published 3
2.74
Jon Pang
usually #2 Singles 100% · published
Reid Hirata
usually #2 Singles 100% · published
Sonny Luo
usually #2 Singles 50%, also #3 Singles 50% · 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.

Roger Yin + Vic Kan7260% games+3.7% vs expected
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.

Vic Kan
17W–13L career · 1 line in 2025
<1%<1%>99%
3.44
3.5
Mel Cabral
141W–89L career · 1 line in 2025
<1%80%20%
3.38
3.5
David Hillel
4W–5L career · 1 line in 2025
not enough data
Roger Yin
11W–13L career · no lines in 2025
<1%4%96%
3.24
Sammy Chang
5W–5L career · 2 lines in 2025
4%93%3%
3.24
Justin Lee
13W–5L career · no lines in 2025
<1%9%91%
3.19
Jason Ng
4W–3L career · 3 lines in 2025
13%86%1%
3.16
3
Charles Do
13W–16L career · 2 lines in 2025
<1%73%27%
2.91
Jon Pang
4W–37L career · 1 line in 2025
0%4%96%
2.74
Reid Hirata
9W–6L career · 2 lines in 2025
not enough data
Sonny Luo
2W–5L career · 2 lines 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.