Teams

SD 4.0 Peninsula TC (TBD)/ Haire

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

7 players · average NTRP 3.83 / 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 3.71 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.

3.94
3.86
Mo Mahmoud
published 4
3.86
Raymond Tabuena
published
3.79
Wesley Kong
published
3.63
Neil Gurnani
published
3.45
Luke Chang
published
3.42
Tyler Haire
published 3.5
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.

Tyler Haire + Nicholas Rodrigues3251% gamesnot enough data
Mo Mahmoud + Tyler Haire123 matchesnot enough data
Mo Mahmoud + Nicholas Rodrigues123 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
Nicholas Rodrigues
44W–46L career · no lines in 2026
<1%67%33%
3.94
4
Mo Mahmoud
48W–37L career · no lines in 2026
<1%85%14%
3.86
Raymond Tabuena
6W–6L career · no lines in 2026
<1%86%14%
3.86
Wesley Kong
6W–8L career · no lines in 2026
1%94%5%
3.79
Neil Gurnani
5W–7L career · no lines in 2026
16%84%<1%
3.63
Luke Chang
4W–3L career · no lines in 2026
64%36%<1%
3.45
3.5
Tyler Haire
59W–56L career · no lines in 2026
<1%73%27%
3.42

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.