Teams

BAY TREES PK 18MX9.0B

2022 MIXED 18&Over · 18&Over MX9.0

19 players · average NTRP 4.44 / 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 18&Over MX9.0 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 4.17 estimated across 18 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.

4.66
Minh Luu
published
4.61
Elena Pan
published 5
4.57
Garrett Chun
published 5
4.49
Kristine Pau
published
4.47
Samantha Nady
published
4.42
Henry Qi
published 4.5
4.34
Mark Dinh
published
4.24
Clarissa Binkley
published 4.5
4.19
Khiem Tran
published
4.15
Elani Phan
published 5
4.15
Nathan Gong
published
4.05
Tiffany Liew
published
3.96
Julianne Gee
published
3.94
Ricky Duong
published
3.89
Gabriel Chan
published 4
3.89
Euna Roh
published 4
3.63
Jacky Ng
published 4
3.49
Chris Yee
published 4
Patrick Huck
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.

Nathan Gong + Tiffany Liew1643% games−2.0% 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.

Minh Luu
2W–5L career · no lines in 2022
10%89%<1%
4.66
5
Elena Pan
9W–3L career · no lines in 2022
21%79%<1%
4.61
5
Garrett Chun
7W–0L career · no lines in 2022
31%69%<1%
4.57
Kristine Pau
1W–3L career · no lines in 2022
54%46%<1%
4.49
Samantha Nady
0W–6L career · no lines in 2022
60%40%<1%
4.47
4.5
Henry Qi
10W–6L career · no lines in 2022
<1%74%26%
4.42
Mark Dinh
17W–9L career · no lines in 2022
<1%88%11%
4.34
4.5
Clarissa Binkley
14W–11L career · no lines in 2022
3%95%2%
4.24
Khiem Tran
9W–5L career · no lines in 2022
7%92%1%
4.19
5
Elani Phan
13W–20L career · no lines in 2022
>99%<1%<1%
4.15
Nathan Gong
11W–12L career · no lines in 2022
13%87%<1%
4.15
Tiffany Liew
14W–12L career · no lines in 2022
34%66%<1%
4.05
Julianne Gee
7W–9L career · no lines in 2022
63%37%<1%
3.96
Ricky Duong
11W–4L career · no lines in 2022
67%33%<1%
3.94
4
Gabriel Chan
42W–10L career · no lines in 2022
<1%79%21%
3.89
4
Euna Roh
22W–14L career · no lines in 2022
<1%81%19%
3.89
4
Jacky Ng
2W–7L career · no lines in 2022
17%83%<1%
3.63
4
Chris Yee
1W–2L career · no lines in 2022
54%46%<1%
3.49
Patrick Huck
3W–4L career · no lines in 2022
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.