Teams

SDNC 4.0 FRCC/ Lozano

2026 SoCal Fall Doubles WE- SDNC · SDNC Men 4.0

14 players · average NTRP 3.80 / 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 standings14 teams · SDNC Men 4.0
TeamWLInd. WInd. LSets lostGames lost
1SDNC 4.0 RBCTC/ Mourey000000
2SDNC 4.0 La Costa/ Flaherty000000
3SDNC 4.0 Brengle Terrace/ Coughlin000000
4SDNC 4.0 RBS&TC/ Louis000000
5SDNC 4.0 FRCC/ Loew000000
6SDNC 4.0 FRCC/ Hackett000000
7SDNC 4.0 San Dieguito TC/ Rubin000000
8SDNC 4.0 La Valle CC / Manheim000000
9SDNC 4.0 Rancho Del Oro/ Fernandez000000
10SDNC 4.0 Rancho Valencia/ Makkar000000
11SDNC 4.0 Lomas SF/ Goodman000000
12SDNC 4.0 Rancho Del Oro/ Roy000000
13SDNC 4.0 RPTC/ Yeem000000
14SDNC 4.0 FRCC/ Lozano000000

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 3.55 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.

3.79
Andrew Van Brunt
published 4
3.75
Paul Buckley
published
3.71
Howard Farfel
published 4
3.63
Alex Urioste
published 4
3.63
Ahmet Tutuncu
published 4
3.56
Steve Soderholm
published 4
3.54
Joel Bonnema
published 4
3.51
Robert Lozano
published
3.49
Adam Mezo
published 3.5
3.48
Vijay Venkatesh
published
3.45
Todd Bulich
published 3.5
3.42
Stanford Yee
published 3.5
3.24
Ashish Wadhwa
published 3.5
Harry Nam
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.

Adam Mezo + Todd Bulich2636% gamesnot enough data
Steve Soderholm + Joel Bonnema2549% gamesnot enough data
Joel Bonnema + Howard Farfel3442% gamesnot enough data
Steve Soderholm + Ahmet Tutuncu2441% gamesnot enough data
Joel Bonnema + Todd Bulich1442% gamesnot enough data
Steve Soderholm + Howard Farfel134 matchesnot enough data
Howard Farfel + Harry Nam404 matchesnot enough data
Steve Soderholm + Adam Mezo123 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
Andrew Van Brunt
5W–1L career · type S · no lines in 2026
2%92%6%
3.79
Paul Buckley
5W–6L career · no lines in 2026
3%93%4%
3.75
4
Howard Farfel
25W–37L career · no lines in 2026
7%91%2%
3.71
4
Alex Urioste
2W–3L career · type S · no lines in 2026
17%83%<1%
3.63
4
Ahmet Tutuncu
21W–44L career · no lines in 2026
17%82%<1%
3.63
4
Steve Soderholm
10W–34L career · type A · no lines in 2026
33%67%<1%
3.56
4
Joel Bonnema
39W–66L career · no lines in 2026
38%62%<1%
3.54
Robert Lozano
1W–11L career · no lines in 2026
48%52%<1%
3.51
3.5
Adam Mezo
32W–32L career · no lines in 2026
<1%53%47%
3.49
Vijay Venkatesh
6W–9L career · no lines in 2026
<1%55%45%
3.48
3.5
Todd Bulich
48W–63L career · no lines in 2026
<1%64%36%
3.45
3.5
Stanford Yee
52W–32L career · no lines in 2026
<1%72%27%
3.42
3.5
Ashish Wadhwa
4W–8L career · no lines in 2026
4%92%3%
3.24
Harry Nam
5W–4L 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.