Teams

SD 4.0 UCRC String Breakers (1PM)/ Park

2026 SoCal Fall Doubles WE- San Diego · SD Men 4.0

10 players · average NTRP 4.00 / 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 standings11 teams · SD Men 4.0
TeamWLInd. WInd. LSets lostGames lost
1SD 4.0 Lake Murray TC/ Hill000000
2SD 4.0 Tierrasanta TC/ Annobil000000
3SD 4.0 Coronado TC/ Hackworth000000
4SD 4.0 Balboa TC/ Dang000000
5SD 4.0 PBTC (1PM)/ Mauriz000000
6SD 4.0 Dragons @ Peninsula TC (TBD)/ Flores000000
7SD 4.0 UCRC String Breakers (1PM)/ Park000000
8SD 4.0 Peninsula TC (TBD)/ Haire000000
9SD 4.0 SDTRC/ Channick000000
10SD 4.0 Balboa TC/ Afifi000000
11SD 4.0 La Jolla TC (9:30)/ Ross000000

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 3.68 estimated across 7 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.

4.65
Carissa Park
published 5
3.84
Greg Maier
published
3.78
David Witter
published 4
3.70
Ryan Salas
published
3.39
Bryan Yung
published 3.5
3.23
Genta Kaieda
published
3.21
Chi-Wei Man
published 3.5
Michael Sohikish
published
Nicholas Appel
published
Nizam Khan
published
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.

5
Carissa Park
40W–23L career · no lines in 2026
no projection at this level
4.65
Greg Maier
2W–3L career · no lines in 2026
1%87%12%
3.84
4
David Witter
3W–8L career · no lines in 2026
2%92%6%
3.78
Ryan Salas
6W–5L career · no lines in 2026
8%91%2%
3.70
3.5
Bryan Yung
2W–1L career · no lines in 2026
<1%77%22%
3.39
Genta Kaieda
4W–2L career · no lines in 2026
5%92%3%
3.23
3.5
Chi-Wei Man
2W–3L career · type S · no lines in 2026
7%91%2%
3.21
Michael Sohikish
2W–2L career · no lines in 2026
not enough data
Nicholas Appel
7W–2L career · no lines in 2026
not enough data
Nizam Khan
11W–1L 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.