Teams

WALLENBERG PK 18MX9.0A

2022 MIXED 18&Over · 18&Over MX9.0

16 players · average NTRP 4.58 / 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 4.28 estimated across 16 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.

5.29
Christi Tain
published 5.5
4.71
Robin Zhou
published
4.56
Joshua Kaye
published
4.44
Brian Higashi
published 4.5
4.44
Nicole YEN
published
4.39
Edwin Pham
published 4.5
4.30
Matt Lin
published
4.29
Katie Mcdonough
published
4.26
Stephanie Wei
published
4.24
Kevin Margo
published
4.15
Lina Li
published
4.07
Patrick Tsai
usually #1 Doubles 50%, also #2 Doubles 50% · published 4.5
4.05
Helen Lam
published 4.5
3.86
Jacqueline Lam
published 4
3.80
Tajoe Lun
published
3.70
Johnny Cheng
published
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
Christi Tain
5W–0L career · type S · no lines in 2022
1%93%6%
5.29
Robin Zhou
10W–4L career · no lines in 2022
6%93%1%
4.71
Joshua Kaye
16W–18L career · no lines in 2022
32%68%<1%
4.56
4.5
Brian Higashi
8W–2L career · type A · no lines in 2022
<1%68%32%
4.44
Nicole YEN
7W–8L career · no lines in 2022
68%32%<1%
4.44
4.5
Edwin Pham
17W–8L career · no lines in 2022
<1%79%21%
4.39
Matt Lin
8W–7L career · no lines in 2022
1%93%6%
4.30
Katie Mcdonough
3W–3L career · no lines in 2022
1%94%5%
4.29
Stephanie Wei
7W–5L career · no lines in 2022
2%94%3%
4.26
Kevin Margo
19W–19L career · no lines in 2022
3%95%2%
4.24
Lina Li
11W–18L career · no lines in 2022
13%87%<1%
4.15
4.5
Patrick Tsai
91W–63L career · 4 lines in 2022
31%69%<1%
4.07
4.5
Helen Lam
11W–8L career · no lines in 2022
36%64%<1%
4.05
4
Jacqueline Lam
5W–13L career · no lines in 2022
<1%85%14%
3.86
Tajoe Lun
13W–5L career · no lines in 2022
94%6%<1%
3.80
Johnny Cheng
6W–2L career · no lines in 2022
6%93%1%
3.70

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.