Teams

SGV Dare Doubles-Kim-WN/SU

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

12 players · average NTRP 4.00 / 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 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 3.34 estimated across 12 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.

3.82
Steinway Huang
usually #2 Doubles 44%, also #1 Singles 22% · published 4
3.78
Manoj Parmar
usually #2 Doubles 44%, also #1 Singles 33% · published 4
3.75
Sang Ur
usually #2 Doubles 44%, also #3 Doubles 22% · published 4
3.56
Shih-hao James Pang
published
3.48
Woo Kim
published
3.40
Dusty Summers
published
3.17
Lee Au
published
3.16
John Bragg
usually #3 Doubles 100% · published
3.11
Jai Dicipulo
published
3.08
John Garcia-Shelton
published
2.93
TAREK BABA
usually #1 Doubles 43%, also #3 Doubles 29% · published
2.88
Josh Berman
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.

Woo Kim + Shih-hao James Pang5066% games+22.0% vs expected
John Bragg + Dusty Summers9358% games+3.3% vs expected
Sang Ur + Steinway Huang15560% games−7.9% vs expected
Manoj Parmar + Steinway Huang303 matchesnot enough data
Dusty Summers + Sang Ur033 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.

4
Steinway Huang
73W–29L career · 9 lines in 2025
1%89%10%
3.82
4
Manoj Parmar
148W–42L career · 9 lines in 2025
2%92%6%
3.78
4
Sang Ur
57W–34L career · 9 lines in 2025
4%93%3%
3.75
Shih-hao James Pang
23W–3L career · no lines in 2025
<1%<1%>99%
3.56
Woo Kim
15W–10L career · no lines in 2025
<1%<1%>99%
3.48
Dusty Summers
37W–17L career · no lines in 2025
<1%<1%>99%
3.40
Lee Au
9W–4L career · no lines in 2025
<1%11%89%
3.17
John Bragg
24W–13L career · 1 line in 2025
<1%12%88%
3.16
Jai Dicipulo
3W–14L career · no lines in 2025
21%79%<1%
3.11
John Garcia-Shelton
4W–10L career · no lines in 2025
27%73%<1%
3.08
TAREK BABA
26W–15L career · 7 lines in 2025
<1%70%30%
2.93
Josh Berman
12W–18L career · no lines in 2025
80%20%<1%
2.88

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.