Teams

What the heck

2023 Tri-Level Team Tournament 4.0 · 4.5

14 players · average NTRP 4.92 / NO. CALIFORNIA

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 4.5 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 4.42 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.

5.05
Jennifer Kung
published 5.5
4.79
Megan Tang
published
Clarissa Fung
published 5
4.63
Isa Chau
published 5
4.61
Elena Pan
published 5
4.53
Stephanie Alexander
published
4.44
Sabrina Thong
published
4.36
Daniella Holm
published 4.5
4.26
Stephanie Wei
published
4.26
Elaine Smith
published 4.5
4.12
Tina Baykaner
published
4.05
Tiffany Liew
published
3.92
Michelle Nicholson
published
Kimiko Kearney
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.

Elaine Smith + Sabrina Thong123 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.

5.5
Jennifer Kung
162W–46L career · no lines in 2023
35%65%<1%
5.05
Megan Tang
5W–0L career · no lines in 2023
1%93%6%
4.79
5
Clarissa Fung
12W–1L career · no lines in 2023
not enough data
5
Isa Chau
4W–4L career · no lines in 2023
15%84%<1%
4.63
5
Elena Pan
9W–3L career · no lines in 2023
21%79%<1%
4.61
Stephanie Alexander
11W–3L career · no lines in 2023
40%60%<1%
4.53
Sabrina Thong
1W–7L career · no lines in 2023
68%32%<1%
4.44
4.5
Daniella Holm
26W–15L career · no lines in 2023
<1%85%14%
4.36
Stephanie Wei
7W–5L career · no lines in 2023
2%94%3%
4.26
4.5
Elaine Smith
20W–7L career · no lines in 2023
2%94%3%
4.26
Tina Baykaner
24W–6L career · no lines in 2023
18%82%<1%
4.12
Tiffany Liew
14W–12L career · no lines in 2023
34%66%<1%
4.05
Michelle Nicholson
43W–22L career · no lines in 2023
<1%73%27%
3.92
Kimiko Kearney
7W–1L career · no lines in 2023
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.