Teams

SGV Dare Doubles-Pang-WN/SU10

2026 SoCal Doubles 18 & Over - San Gabriel Valley · SGV - Men 3.5

10 players · average NTRP / 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 →
Flight standings7 teams · SGV - Men 3.5
TeamWLInd. WInd. LSets lostGames lost
1SGV Band of Brothers-Buckwalter-ATCC/SU1000000
2SGV Underdogs Aces-Luzzi-Diamond Bar HS/SU8000000
3SGV Dare Doubles-Pang-WN/SU10000000
4SGV Ball Hogs- R.Yip-Arroyo Seco/ TBD000000
5SGV Underdogs Titans-Bandaru-Diamond Bar HS/SA10:3000000
6SGV Heavy Hitters-St Clair-Arcadia/SU11000000
7SGV The B Team-Nydam-ATCC/SA4000000

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 2.94 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.

3.21
Jimmy Cheng
published
3.07
Douglas Hollier
published
2.96
Fredrick Hoang
published
2.96
James Grollman
published
2.93
TAREK BABA
published
2.92
George Yang
published
2.92
Steven Chow
published
2.89
Larry Reed
published
2.83
Henry Martinez
published
2.74
Jon Pang
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.

Steven Chow + Jimmy Cheng101447% games−3.9% vs expected
Fredrick Hoang + Jon Pang044 matchesnot enough data
Jon Pang + TAREK BABA224 matchesnot enough data
James Grollman + Jon Pang033 matchesnot enough data
James Grollman + Larry Reed033 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.

Jimmy Cheng
19W–23L career · no lines in 2026
<1%7%93%
3.21
Douglas Hollier
2W–5L career · no lines in 2026
32%68%<1%
3.07
Fredrick Hoang
7W–13L career · no lines in 2026
0%<1%>99%
2.96
James Grollman
6W–17L career · no lines in 2026
62%38%<1%
2.96
TAREK BABA
26W–15L career · no lines in 2026
<1%70%30%
2.93
George Yang
10W–4L career · no lines in 2026
<1%71%29%
2.92
Steven Chow
26W–28L career · no lines in 2026
<1%71%28%
2.92
Larry Reed
9W–21L career · no lines in 2026
79%21%<1%
2.89
Henry Martinez
6W–20L career · no lines in 2026
1%88%11%
2.83
Jon Pang
4W–37L career · no lines in 2026
0%4%96%
2.74

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.