Teams

SD WE LT RBS&TC/ Carmichael

2025 SoCal Tri-Level Doubles WE- Summer SD · SDNC

13 players · average NTRP 3.67 / 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 standings for SDNC have not been collected yet. Where we have them we show every team in the flight ranked, with this team highlighted. The crawler is still filling in older seasons and flights.

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 3.49 estimated across 12 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.

3.77
Yan Hoang
published 4
3.75
Alissa Ly
published 4
3.72
Kristine Nguyen
published
3.69
Stacey Dusseault
published 4
3.65
Cindy S Miers
published 4
3.61
Yasmin Pakzad
published
3.58
Azumi Ueno
published 3.5
3.52
Katrina Lee
published
3.40
Christina Beppu
published 3.5
3.39
Litnaly Nunes
published 3.5
3.17
Chau Hutcheson
published 3.5
2.59
Sylvia Hostetler
published 3
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.

Katrina Lee + Azumi Ueno8260% games+2.6% vs expected
Alissa Ly + Yan Hoang9453% games+2.4% vs expected
Alissa Ly + Azumi Ueno8064% gamesnot enough data
Alissa Ly + Litnaly Nunes6166% gamesnot enough data
Chau Hutcheson + Litnaly Nunes2345% gamesnot enough data
Azumi Ueno + Christina Beppu4156% gamesnot enough data
Yasmin Pakzad + Alissa Ly303 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
Yan Hoang
62W–30L career · no lines in 2025
2%94%4%
3.77
4
Alissa Ly
160W–70L career · no lines in 2025
3%95%2%
3.75
Kristine Nguyen
15W–3L career · no lines in 2025
4%94%2%
3.72
4
Stacey Dusseault
123W–98L career · no lines in 2025
7%92%1%
3.69
4
Cindy S Miers
25W–42L career · no lines in 2025
12%87%<1%
3.65
Yasmin Pakzad
9W–5L career · no lines in 2025
19%80%<1%
3.61
3.5
Azumi Ueno
96W–45L career · no lines in 2025
<1%26%74%
3.58
Katrina Lee
18W–12L career · no lines in 2025
<1%45%55%
3.52
3.5
Christina Beppu
70W–15L career · no lines in 2025
<1%77%23%
3.40
3.5
Litnaly Nunes
49W–24L career · no lines in 2025
<1%80%19%
3.39
3.5
Chau Hutcheson
97W–55L career · no lines in 2025
9%90%1%
3.17
3
Sylvia Hostetler
11W–16L career · no lines in 2025
24%76%<1%
2.59
Rene Carmichael
1W–1L career · no lines in 2025
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.