Teams

OC LLW Meta Legend - LPC - Gu Sat9

2023 USTA Mixed Doubles 18 & Over - OC · OC - 7.0 WE - Weekend Mixed Doubles

16 players · average NTRP 3.70 / 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 →
Schedule4 played
2023-03-26vs OC Boomer MVPs - MVTC - GusWon 10
W#2 DoublesDJ Zheng / Viola Xiao vs David Radel / JENNIFER BRASCH6-2, 7-6
2023-03-25vs OC CMTC - RickWon 10
W#3 DoublesLea Lu / DJ Zheng vs Gruyer Cadacio / Julia Gissel6-0, 6-0
W#3 DoublesAnna Li / DJ Zheng vs Q Viet Tran / Vivian Truong6-0, 6-4
2023-02-11vs OC LNRC - BeraeilWon 10
W#3 DoublesViola Xiao / DJ Zheng vs Jeffrey Heald / Joan Levis6-2, 6-0
A tie can be incomplete. Tell us if someone is missing.
i
Grouped by tie — one fixture, several lines. A line shows only when a player on it is someone we have indexed, so an early-season tie for a newly-added team can look short. This also means the line count here will not match the header, which counts individual player appearances.

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 3.50 estimated across 6 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.

4.11
Wendy Dong
published
3.81
Zeyang Ren
published
DJ Zheng
usually #3 Doubles 75%, also #2 Doubles 25% · published 4
3.57
Chunyan Chen
published 4
Anna Li
published 3.5
3.23
Jing Dong
published
3.19
Huanan Sun
published 3.5
3.08
Deping Liu
published 3.5
Jon Wang
published
Ken Chen
published
Lea Lu
published
Michael Gu
published
Viola Xiao
published
Wayne Hu
published
Wenyi Jiang
published
Zheng Hua
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.

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.

Wendy Dong
11W–11L career · no lines in 2023
20%80%<1%
4.11
Zeyang Ren
5W–1L career · no lines in 2023
1%92%7%
3.81
4
DJ Zheng
43W–20L career · 4 lines in 2023
not enough data
4
Chunyan Chen
17W–5L career · type M · no lines in 2023
31%69%<1%
3.57
3.5
Anna Li
1W–0L career · no lines in 2023
not enough data
Jing Dong
11W–19L career · no lines in 2023
4%94%2%
3.23
3.5
Huanan Sun
16W–10L career · no lines in 2023
7%92%1%
3.19
3.5
Deping Liu
86W–111L career · no lines in 2023
28%72%<1%
3.08
Jon Wang
14W–6L career · no lines in 2023
not enough data
Ken Chen
4W–1L career · no lines in 2023
not enough data
Lea Lu
2W–1L career · no lines in 2023
not enough data
Michael Gu
7W–6L career · no lines in 2023
not enough data
Viola Xiao
2W–8L career · no lines in 2023
not enough data
Wayne Hu
2W–2L career · no lines in 2023
not enough data
Wenyi Jiang
2W–3L career · no lines in 2023
not enough data
Zheng Hua
3W–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.