Teams

SoCal/Gu/Mixed40&Over7.0

2024 USTA Mixed Doubles 40 & Over - OC · OC - 7.0 WE - Weekend Mixed Doubles

18 players · average NTRP 3.86 / SO.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 OC - 7.0 WE - Weekend Mixed Doubles 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 3.46 estimated across 8 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.

4.37
Meng-Chieh Lee
usually #2 Doubles 50%, also #1 Doubles 50% · published 4.5
DJ Zheng
usually #3 Doubles 75%, also #2 Doubles 25% · published 4
3.71
Sabrina MacLachlan
usually #3 Doubles 75%, also #2 Doubles 25% · published 4
3.57
Chunyan Chen
published 4
3.38
Tommy Tian
usually #2 Doubles 50%, also #1 Doubles 38% · published 3.5
3.31
Linda Yin
published
3.27
Mark Gross
published
Anna Li
published 3.5
3.18
Cecilia Mai
published 3.5
2.89
Yiwei Chu
published
Jon Wang
published
Ken Chen
published
Kim Ngo
published
Michael Gu
published
Nicole Doan
published
Sally Scott
published
Vincent Yan
published
Viola Xiao
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.

Meng-Chieh Lee + Tommy Tian404 matchesnot enough data
Mark Gross + Linda Yin213 matchesnot enough data
Chunyan Chen + Jon Wang123 matchesnot enough data
Viola Xiao + Michael Gu033 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.

4.5
Meng-Chieh Lee
136W–50L career · 4 lines in 2024
<1%84%16%
4.37
4
DJ Zheng
43W–20L career · 4 lines in 2024
not enough data
4
Sabrina MacLachlan
190W–130L career · 4 lines in 2024
5%93%1%
3.71
4
Chunyan Chen
17W–5L career · type M · no lines in 2024
31%69%<1%
3.57
3.5
Tommy Tian
55W–7L career · 8 lines in 2024
<1%81%18%
3.38
Linda Yin
19W–7L career · no lines in 2024
1%92%7%
3.31
Mark Gross
29W–14L career · no lines in 2024
2%94%4%
3.27
3.5
Anna Li
1W–0L career · no lines in 2024
not enough data
3.5
Cecilia Mai
9W–6L career · no lines in 2024
9%91%1%
3.18
Yiwei Chu
4W–5L career · no lines in 2024
80%20%<1%
2.89
Jon Wang
14W–6L career · no lines in 2024
not enough data
Ken Chen
4W–1L career · no lines in 2024
not enough data
Kim Ngo
8W–1L career · no lines in 2024
not enough data
Michael Gu
7W–6L career · no lines in 2024
not enough data
Nicole Doan
6W–6L career · no lines in 2024
not enough data
Sally Scott
0W–1L career · no lines in 2024
not enough data
Vincent Yan
1W–4L career · no lines in 2024
not enough data
Viola Xiao
2W–8L career · no lines in 2024
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.