Teams

SDNC LT RBS&TC/ Carmichael

2026 Mixed Doubles Tri-Level Fall - SDNC · SDNC (8.0

10 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 standings9 teams · SDNC (8.0
TeamWLInd. WInd. LSets lostGames lost
1SDNC LT FRCC/ Caringal000000
2SDNC LT RPTC/ Wilson000000
3SDNC LT La Costa/ Schardt000000
4SDNC LT Santaluz/ Reinoso000000
5SDNC LT FRCC/ Mannell000000
6SDNC LT Park Hyatt Aviara/ Yasuda000000
7SDNC LT Carmel Valley Tennis/ Kuba000000
8SDNC LT El Camino CC/ Napper000000
9SDNC LT RBS&TC/ Carmichael000000

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 3.59 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.

3.87
Puneet Khurana
published 4
3.82
Ashleen Lai
published 4
3.77
Yan Hoang
published 4
3.75
Steven Hoang
published
3.69
christine nishiyama
published 3.5
3.58
Jerry Thomas
published
3.56
James Kalabus
published 3.5
3.55
Mark Logan
published
2.74
Suzanne Hatcher
published
Rene Carmichael
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.

Ashleen Lai + James Kalabus15166% games+22.7% vs expected
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
Puneet Khurana
31W–34L career · no lines in 2026
<1%83%16%
3.87
4
Ashleen Lai
22W–4L career · no lines in 2026
1%91%8%
3.82
4
Yan Hoang
62W–30L career · no lines in 2026
2%94%4%
3.77
Steven Hoang
4W–3L career · no lines in 2026
2%95%3%
3.75
3.5
christine nishiyama
35W–10L career · no lines in 2026
<1%7%93%
3.69
Jerry Thomas
4W–4L career · no lines in 2026
<1%28%72%
3.58
3.5
James Kalabus
86W–24L career · no lines in 2026
<1%32%68%
3.56
Mark Logan
6W–4L career · no lines in 2026
35%65%<1%
3.55
Suzanne Hatcher
11W–15L career · no lines in 2026
3%94%2%
2.74
Rene Carmichael
1W–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.