Teams

SD 3.5 BTC Super Smash Bros/ Mubarak

2026 SoCal Fall Doubles WE- San Diego · SD Men 3.5

10 players · average NTRP 3.33 / SAN DIEGO

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 standings12 teams · SD Men 3.5
TeamWLInd. WInd. LSets lostGames lost
1SD 3.5 Coronado TC (10:30AM)/ Kamas000000
2SD 3.5 BTC Super Smash Bros/ Mubarak000000
3SD 3.5 La Jolla B&TC (2:30)/ McGowan000000
4SD 3.5 La Jolla B&TC (2:30)/ Weber000000
5SD 3.5 SDTRC/ Faltico000000
6SD 3.5 SDTRC/ Riding000000
7SD 3.5 Peninsula TC/ Nguyen000000
8SD 3.5 Mtn View/ Reyes000000
9SD 3.5 Slamajamas @BTC/ Chaiwimol000000
10SD 3.5 SDTRC/ Russell000000
11SD 3.5 UCRC (1PM)/ Chin000000
12SD 3.5 Mtn View/ Injeti000000

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 3.29 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.

3.62
Joel Corrales
published
3.56
Ian Francis Viray
published
3.40
Zachary Hayes
published
3.35
Ryan Mallory
published
3.33
George Benakos
published
3.27
Jay Palma
published
3.27
Darius Chan
published 3.5
3.26
James Agra
published 3.5
2.91
David Glozman
published 3
2.88
Moe Mubarak
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.

James Agra + Joel Corrales5059% games+4.3% 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.

Joel Corrales
17W–1L career · no lines in 2026
<1%20%80%
3.62
Ian Francis Viray
4W–10L career · no lines in 2026
35%65%<1%
3.56
Zachary Hayes
4W–2L career · no lines in 2026
<1%75%24%
3.40
Ryan Mallory
5W–1L career · no lines in 2026
1%85%14%
3.35
George Benakos
5W–4L career · no lines in 2026
1%87%12%
3.33
Jay Palma
6W–2L career · no lines in 2026
3%92%5%
3.27
3.5
Darius Chan
5W–7L career · no lines in 2026
3%92%5%
3.27
3.5
James Agra
11W–6L career · no lines in 2026
3%92%4%
3.26
3
David Glozman
6W–8L career · no lines in 2026
<1%74%25%
2.91
Moe Mubarak
11W–18L career · no lines in 2026
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.