Teams

SGV Underdogs Deuces-Luzzi-Diamond Bar HS/SU8

2024 Adult Division - 18 & Over San Gabriel Valley · SGV - Men 3.5

15 players · average NTRP 3.67 / SO.CALIFORNIA

View scouting list →
Schedule3 played
L#1 DoublesPlacido MacAraeg / Mel Cabral vs Tyler Page / Peter Stokes0-6, 1-4
L#1 DoublesRudy Tatang / Mel Cabral vs Andrew Chin / Kingsley Kuo2-6, 1-6
W#2 DoublesIrineo Galvan / Mel Cabral vs Nerin Kadribegovic / Elias Johansson-Miller6-2, 7-6
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 3.35 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.

3.65
Beman Li
published 4
3.42
Rudy Tatang
published
3.41
David Shin
published 3.5
3.39
3.38
Pavan Akkimsetty
published
3.38
Mel Cabral
usually #1 Doubles 67%, also #2 Doubles 33% · published 3.5
3.38
Jonathan Phan
published
3.36
Manish Anand
published
3.31
Placido MacAraeg
published
3.24
Joseph Luzzi
published
3.22
Ruben Ron
published
3.09
Russel Segawa
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.

Rudy Tatang + Ruben Ron4352% games+4.1% vs expected
David Shin + Ruben Ron2352% gamesnot enough data
Juan Ramirez + David Shin123 matchesnot enough data
Joseph Luzzi + Ruben Ron123 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
Rudy Tatang
13W–10L career · no lines in 2024
<1%<1%>99%
3.42
3.5
David Shin
16W–15L career · no lines in 2024
<1%74%26%
3.41
Oscar Alberto Bonilla
7W–1L career · no lines in 2024
<1%78%22%
3.39
Pavan Akkimsetty
10W–7L career · no lines in 2024
<1%80%20%
3.38
3.5
Mel Cabral
141W–89L career · 3 lines in 2024
<1%80%20%
3.38
Jonathan Phan
12W–13L career · no lines in 2024
<1%81%19%
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
Ruben Ron
18W–14L career · no lines in 2024
<1%6%94%
3.22
Russel Segawa
2W–10L career · no lines in 2024
27%73%<1%
3.09
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.