Teams

Aceholes/Ly-Hungund/Scholl

2026 SoCal Doubles 18+ SFV Fall · SFV 18 & Over - Men 3.0

14 players · average NTRP 3.00 / 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 standings6 teams · SFV 18 & Over - Men 3.0
TeamWLInd. WInd. LSets lostGames lost
1Alley Cats/Kasarjian-Gillham/Balboa000000
2Breaking Bad Blazers/Dao-Soza/Burbank000000
3Aceholes/Ly-Hungund/Scholl000000
4Peke Men/Bennett-Sanchez/Balboa000000
5Net Zeppelin/Miller-Doryon/VNSO000000
6Scholland Garros/Tan/Scholl000000

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 2.97 estimated across 13 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.

3.24
Samuel Domingo
published
3.13
Trevor Angell
published
3.10
Jonathan Ly
published
3.02
Raj Hungund
published
2.97
Joshua Pevnick
published
2.96
Eric Yuan
published 3
2.95
Charles Do
published 3
2.93
Daniel Cramer
published 3
2.92
TAREK BABA
published
2.90
Amir Najafi
published 3
2.83
Moses Song
published
2.81
SC Poh
published
2.80
Kurt Slanaker
published
Anthony Gonzalez
published 3
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.

TAREK BABA + Jonathan Ly5164% games+9.3% vs expected
Amir Najafi + Raj Hungund314 matchesnot enough data
Daniel Cramer + Samuel Domingo213 matchesnot enough data
Jonathan Ly + Raj Hungund303 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.

Samuel Domingo
21W–22L career · no lines in 2026
<1%3%97%
3.24
Trevor Angell
12W–0L career · no lines in 2026
<1%17%83%
3.13
Jonathan Ly
39W–11L career · no lines in 2026
<1%22%78%
3.10
Raj Hungund
22W–7L career · no lines in 2026
<1%43%57%
3.02
Joshua Pevnick
10W–12L career · no lines in 2026
<1%59%41%
2.97
3
Eric Yuan
9W–1L career · type S · no lines in 2026
<1%63%37%
2.96
3
Charles Do
13W–17L career · no lines in 2026
<1%66%34%
2.95
3
Daniel Cramer
17W–17L career · no lines in 2026
<1%71%29%
2.93
TAREK BABA
26W–15L career · no lines in 2026
<1%73%27%
2.92
3
Amir Najafi
20W–11L career · no lines in 2026
<1%77%23%
2.90
Moses Song
5W–2L career · no lines in 2026
1%90%9%
2.83
SC Poh
3W–1L career · no lines in 2026
1%92%7%
2.81
Kurt Slanaker
2W–1L career · no lines in 2026
1%92%7%
2.80
3
Anthony Gonzalez
2W–0L career · no lines in 2026
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.