Teams

Team 4 FDP

2025 NOVA Mixed 40 & Over · NOVA Mixed 40 & Over 7.0

11 players · average NTRP 3.50 / 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 →
Schedule6 played
2025-06-07vs Team 13 Mad Ranchers 7.0Lost 01
L#2 DoublesKai Yu / Qun Bi vs William Weng / Cara Holtmann4-6, 1-6
2025-05-15vs Team 10 Serves You RightWon 10
W#1 DoublesFENG LI / Qun Bi vs Soyong Cho / Ishmael Alejo6-2, 4-4
2025-05-09vs Team 8 CrenshawWon 10
W#2 DoublesKai Yu / Qun Bi vs Kathleen Leary / Freddy Feliz4-6, 5-3
2025-05-04vs Team 6 Hopkins-SultanWon 10
W#1 DoublesQun Bi / FENG LI vs Kevin Conaway / Kathleen McFarlane4-6, 4-2
2025-05-01vs Team 3 BWBWon 10
W#2 DoublesQun Bi / Vincent Pang vs XIAOZHEN LIN / YANG LIU6-3, 3-4
2025-04-15vs Team 2 Serving it HotLost 01
L#1 DoublesQun Bi / FENG LI vs Lara Brandes / Randy Cortes - (DQ)*0-6, 6-2, 0-1
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 Mixed 40 & Over 7.0 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 3.30 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.

3.87
Janet Wu
published
3.52
Qun Bi
usually #1 Doubles 50%, also #2 Doubles 50% · published 3.5
3.47
Yuqing Xiong
published
3.46
Liqing Zhang
published
3.44
Xiaolan Tao
published
3.32
FENG LI
published
3.25
Kun Sun
published
3.18
Vincent Pang
published
3.08
Jeff Gu
published
2.94
Kai Yu
published
2.81
Wei Lu
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.

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.

Janet Wu
41W–22L career · no lines in 2025
<1%81%18%
3.87
3.5
Qun Bi
74W–62L career · 6 lines in 2025
<1%44%56%
3.52
Yuqing Xiong
5W–3L career · no lines in 2025
60%40%<1%
3.47
Liqing Zhang
9W–13L career · no lines in 2025
<1%61%38%
3.46
Xiaolan Tao
12W–3L career · no lines in 2025
<1%67%33%
3.44
FENG LI
8W–12L career · no lines in 2025
1%89%10%
3.32
Kun Sun
3W–4L career · no lines in 2025
4%93%4%
3.25
Vincent Pang
3W–8L career · no lines in 2025
10%89%1%
3.18
Jeff Gu
11W–12L career · no lines in 2025
<1%29%71%
3.08
Kai Yu
6W–15L career · no lines in 2025
66%34%<1%
2.94
Wei Lu
0W–7L career · no lines in 2025
91%9%<1%
2.81

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.