Teams

CUBBERLEY 18MX9.0A

2025 MIXED 18&Over · 18&Over MX9.0

16 players · average NTRP 4.67 / 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 4.19 estimated across 15 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.

4.61
Cathy Xin
published 5
4.46
Chris Bernt
usually #2 Doubles 100% · published 4.5
4.38
Nicole Schnabel
published
4.32
Milan Zhou
published
4.30
Edwin Pham
published
4.27
Nicole YEN
published
Brian Wang
published 4.5
4.22
Stephanie Wei
published
4.20
Kristine Tan
usually #1 Doubles 100% · published
4.17
Jennifer Jin
published
4.12
Winnie Zhang
published
4.11
Stephen Li
usually #1 Doubles 100% · published
4.04
Jenny Wang
usually #2 Doubles 100% · published
3.96
Kuan Chang
usually #1 Doubles 100% · published
3.87
Jonathan Trinh
usually #1 Doubles 100% · published
3.75
Yi Chen
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.

Kristine Tan + Stephen Li123 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
Cathy Xin
16W–6L career · no lines in 2025
no projection at this level
4.61
4.5
Chris Bernt
8W–5L career · 1 line in 2025
<1%60%40%
4.46
Nicole Schnabel
10W–7L career · no lines in 2025
no projection at this level
4.38
Milan Zhou
9W–0L career · no lines in 2025
1%89%10%
4.32
Edwin Pham
17W–8L career · no lines in 2025
2%91%8%
4.30
Nicole YEN
7W–8L career · no lines in 2025
3%92%5%
4.27
4.5
Brian Wang
0W–1L career · no lines in 2025
not enough data
Stephanie Wei
7W–5L career · no lines in 2025
5%92%2%
4.22
Kristine Tan
18W–19L career · 1 line in 2025
8%91%2%
4.20
Jennifer Jin
19W–9L career · no lines in 2025
11%88%1%
4.17
Winnie Zhang
13W–25L career · no lines in 2025
19%81%<1%
4.12
Stephen Li
10W–9L career · 2 lines in 2025
21%78%<1%
4.11
Jenny Wang
19W–32L career · 1 line in 2025
38%62%<1%
4.04
Kuan Chang
15W–17L career · 1 line in 2025
62%38%<1%
3.96
Jonathan Trinh
15W–12L career · 1 line in 2025
82%18%<1%
3.87
Yi Chen
7W–13L career · no lines in 2025
96%4%<1%
3.75

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.