Teams

SGV Underdogs Deuces-Luzzi-Diamond Bar HS/SU8

2024 SoCal Doubles 18 & Over - San Gabriel Valley · SGV - Men 3.5

14 players · average NTRP 3.75 / 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 3.37 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.

3.65
Beman Li
published 4
3.55
Matthew Huang
published
3.48
Jun Yuan
published
3.41
David Shin
published 3.5
3.38
Pavan Akkimsetty
published
3.36
Manish Anand
published
3.31
Placido MacAraeg
published
3.24
Joseph Luzzi
published
3.20
Yonggang Zhang
published
3.09
Russel Segawa
published
Gang Dai
published
Irineo Galvan
published
Juan Ramirez
published
YingDong Lin
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.

Jun Yuan + Yonggang Zhang5549% games−6.7% vs expected
Juan Ramirez + David Shin123 matchesnot enough data
Placido MacAraeg + David Shin213 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
Beman Li
8W–8L career · no lines in 2024
14%86%1%
3.65
Matthew Huang
4W–3L career · no lines in 2024
37%63%<1%
3.55
Jun Yuan
21W–11L career · no lines in 2024
<1%56%44%
3.48
3.5
David Shin
16W–15L career · no lines in 2024
<1%74%26%
3.41
Pavan Akkimsetty
10W–7L career · no lines in 2024
<1%80%20%
3.38
Manish Anand
7W–6L career · no lines in 2024
1%84%16%
3.36
Placido MacAraeg
10W–6L career · no lines in 2024
1%90%8%
3.31
Joseph Luzzi
9W–11L career · no lines in 2024
4%93%3%
3.24
Yonggang Zhang
10W–13L career · no lines in 2024
8%91%2%
3.20
Russel Segawa
2W–10L career · no lines in 2024
27%73%<1%
3.09
Gang Dai
2W–1L career · no lines in 2024
not enough data
Irineo Galvan
9W–2L career · no lines in 2024
not enough data
Juan Ramirez
2W–6L career · no lines in 2024
not enough data
YingDong Lin
0W–1L career · no lines in 2024
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.