Teams

SDNC 4.0 RB S&TC (Sun 2:30)/ Carmichael

2026 SoCal Fall Doubles WE- SDNC · SDNC Women 4.0 GNO

8 players · average NTRP 3.92 / 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 standings6 teams · SDNC Women 4.0 GNO
TeamWLInd. WInd. LSets lostGames lost
1SDNC 4.0 RB S&TC (Sun 2:30)/ Carmichael000000
2SDNC 4.0 El Camino (Sun 2:30pm)/ Graber000000
3SDNC 4.0 Valley Center (Sun 11)/ DeHesa000000
4SDNC 4.0 La Costa (Sun 2:30)/ Murphy000000
5SDNC 4.0 FRCC (Thurs 6:30-9PM)/ Caringal000000
6SDNC 4.0 FRCC (Sun 2:30)/ Torrelio000000

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 3.74 estimated across 6 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.

3.85
Kimberly Hegardt
published 4
3.77
Yan Hoang
published 4
3.77
Whitney Nyholm
published 4
3.75
Alissa Ly
published 4
3.73
Amy Redmond
published 4
3.58
Azumi Ueno
published 3.5
Katherine Thompson
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.

Alissa Ly + Yan Hoang9453% games+2.4% vs expected
Alissa Ly + Azumi Ueno8064% gamesnot enough data
Alissa Ly + Amy Redmond213 matchesnot enough data
Yan Hoang + Azumi Ueno213 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
Kimberly Hegardt
47W–50L career · no lines in 2026
<1%87%13%
3.85
4
Yan Hoang
62W–30L career · no lines in 2026
2%94%4%
3.77
4
Whitney Nyholm
41W–25L career · no lines in 2026
2%94%4%
3.77
4
Alissa Ly
160W–70L career · no lines in 2026
3%95%2%
3.75
4
Amy Redmond
9W–7L career · type S · no lines in 2026
4%94%2%
3.73
3.5
Azumi Ueno
96W–45L career · no lines in 2026
<1%26%74%
3.58
Katherine Thompson
0W–4L career · no lines in 2026
not enough data
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.