Teams

Team 3 Yu - Net Dancers

2024 NOVA Combo Mixed · NOVA Combo Mixed 7.5

12 players · average NTRP 3.75 / VIRGINIA

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 →
Schedule5 played
2024-12-02vs Team 6 Acosta - High RollersLost 01
L#2 DoublesJennifer Ko / M Zhu vs Kelly Blackborow / Christopher Grant5-7, 0-6
2024-11-02vs Team 2 zhang - BWBWon 10
W#2 DoublesXIAOZHEN LIN / George Liu vs Yuan Zhang / Alan Zhang6-3, 5-4
2024-10-27vs Team 7 Bailys BruisersWon 10
W#1 DoublesJennifer Ko / M Zhu vs Jeff Buhl / Christine Hopkins5-7, 6-1, 1-0
2024-10-21vs Team 5 Frazier - Mad RanchersLost 01
L#3 DoublesXIAOZHEN LIN / YANG LIU vs SHANE MURRAY / Christine Becer2-6, 1-6
2024-10-12vs Team 1 Pauldurai - Net NinjasWon 10
W#2 DoublesJennifer Ko / M Zhu vs Marithe Le / Jennifer Pauldurai6-2, 5-5
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 NOVA Combo Mixed 7.5 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 3.57 estimated across 11 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.

4.12
Yue She
published
4.02
George Liu
published
3.83
Yang Michelle Su
published
3.73
M Zhu
usually #2 Doubles 67%, also #1 Doubles 33% · published 4
3.62
Chao Wang
published 3.5
3.55
XIAOZHEN LIN
usually #3 Doubles 50%, also #2 Doubles 50% · published 4
3.52
Menglun Qin
usually #2 Doubles 75%, also #1 Doubles 25% · published 3.5
3.47
Yuqing Xiong
published
3.28
YANG LIU
published
3.25
Kun Sun
published
2.94
Kai Yu
published
Phiros Thach
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.

Yue She + Chao Wang314 matchesnot enough data
Yuqing Xiong + Kun Sun123 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.

Yue She
7W–17L career · no lines in 2024
20%80%<1%
4.12
George Liu
13W–7L career · no lines in 2024
<1%45%55%
4.02
Yang Michelle Su
9W–4L career · no lines in 2024
1%88%11%
3.83
4
M Zhu
49W–56L career · 3 lines in 2024
5%92%3%
3.73
3.5
Chao Wang
20W–9L career · no lines in 2024
<1%20%80%
3.62
4
XIAOZHEN LIN
73W–47L career · 2 lines in 2024
37%63%<1%
3.55
3.5
Menglun Qin
50W–44L career · 4 lines in 2024
<1%44%56%
3.52
Yuqing Xiong
5W–3L career · no lines in 2024
60%40%<1%
3.47
YANG LIU
9W–9L career · no lines in 2024
2%92%6%
3.28
Kun Sun
3W–4L career · no lines in 2024
4%93%4%
3.25
Kai Yu
6W–15L career · no lines in 2024
66%34%<1%
2.94
Phiros Thach
3W–0L 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.