Teams

40 Love/Lula/CSUN

2026 SoCal Doubles 18+ SFV Fall · SFV 18 & Over - Men 3.5

13 players · average NTRP 3.50 / 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 3.5
TeamWLInd. WInd. LSets lostGames lost
1Paseo United/Zeltser/Paseo000000
240 Love/Lula/CSUN000000
3Mojo/Shahriaree-Brag/Scholl000000
4Acers/Tsai-Johnson/CSUN000000
5Burbank Breaking Bad/Steltz-Angrisani/Burbank000000
6Green Machine/Green-Venegas/Porter000000

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 3.16 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.

3.32
Ian Gocka
published 3.5
3.31
Phidias Barrios
published
3.27
Alex Lehmann
published 3.5
3.22
Sergio Martinez
published
3.21
Dan Lula
published 3.5
3.20
Tony Lujan
published
3.19
Matthieu Corfmat
published
3.17
Charles Rez
published 3.5
3.16
Andrew Wheeler
published 3.5
3.06
Monte Donovan
published
3.04
Aditya Moorthy
published 3.5
2.79
Nghi Nguyen
published
Fabricio Apuy
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.

Andrew Wheeler + Dan Lula213 matchesnot enough data
Monte Donovan + Phidias Barrios123 matchesnot enough data
Monte Donovan + Aditya Moorthy123 matchesnot enough data
Dan Lula + Matthieu Corfmat033 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.

3.5
Ian Gocka
54W–37L career · no lines in 2026
1%89%10%
3.32
Phidias Barrios
7W–11L career · no lines in 2026
1%90%9%
3.31
3.5
Alex Lehmann
6W–8L career · no lines in 2026
3%92%5%
3.27
Sergio Martinez
7W–3L career · no lines in 2026
6%92%2%
3.22
3.5
Dan Lula
138W–81L career · no lines in 2026
7%91%2%
3.21
Tony Lujan
15W–8L career · no lines in 2026
7%91%2%
3.20
Matthieu Corfmat
13W–15L career · no lines in 2026
9%89%1%
3.19
3.5
Charles Rez
1W–4L career · type S · no lines in 2026
12%87%1%
3.17
3.5
Andrew Wheeler
7W–12L career · no lines in 2026
13%86%1%
3.16
Monte Donovan
5W–10L career · no lines in 2026
32%68%<1%
3.06
3.5
Aditya Moorthy
15W–14L career · no lines in 2026
39%61%<1%
3.04
Nghi Nguyen
1W–2L career · no lines in 2026
2%91%7%
2.79
Fabricio Apuy
2W–5L 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.