Teams

SDNC 4.0 FRCC/ Hackett

2026 SoCal Fall Doubles WE- SDNC · SDNC Men 4.0

9 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 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 3.73 estimated across 9 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.

3.90
Matthew Dart
published 4
3.83
3.78
Michael Zhou
published
3.73
Nicholas Palmer
published
3.72
Phung Yam
published
3.71
John Jastremski
published
3.69
Jeffrey Hsu
published
3.63
James Nideffer
published
3.57
Albert Hsiao
published 4
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.

James Nideffer + Phung Yam123 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
Matthew Dart
42W–26L career · no lines in 2026
<1%76%24%
3.90
4
Fletcher Paddison
67W–27L career · no lines in 2026
1%88%11%
3.83
Michael Zhou
4W–4L career · no lines in 2026
2%92%6%
3.78
Nicholas Palmer
7W–7L career · no lines in 2026
5%92%3%
3.73
Phung Yam
5W–5L career · no lines in 2026
5%92%2%
3.72
John Jastremski
7W–1L career · no lines in 2026
6%92%2%
3.71
Jeffrey Hsu
9W–5L career · no lines in 2026
9%90%1%
3.69
James Nideffer
8W–7L career · no lines in 2026
18%82%<1%
3.63
4
Albert Hsiao
8W–5L career · no lines in 2026
31%69%<1%
3.57

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.