Teams

VWang/JZhang (Queens)

2022 Adult 18 & Over League · 18 & Over Adult 4.0 Men - Thurs PM

5 players · average NTRP 3.67 / NORTH CAROLINA

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Schedule9 played
2022-05-05vs RSankaran (Life Time)Lost 02
L#1 DoublesJoshua Mu / Bill Battaile vs Bob Hofmann / Chris Trunck3-6, 6-7
L#2 DoublesJim Zhang / Xuezhi Tang vs Nigel Zheng / Michael Powers3-6, 4-6
2022-04-28vs RMarks (BRC)Won 20
W#1 DoublesJoshua Mu / Bill Battaile vs Diego Pazo / Ricky Marks6-3, 6-3
W#2 SinglesXuezhi Tang vs N/A6-0, 6-0
2022-04-21vs CGardner/NSiens (Life Time)Lost 02
L#1 SinglesXuezhi Tang vs Christopher Gardner4-6, 7-6, 0-1
L#2 DoublesBill Battaile / David Zheng vs Joseph Heyward / John Nivens3-6, 4-6
2022-04-14vs KSwain (Park Road)Won 20
W#1 DoublesKevin Zhang / Bill Battaile vs Rahul Ramkumar / Joshua Nuthalapaty6-1, 6-2
W#2 DoublesJoshua Mu / Xuezhi Tang vs Reid Skeppstrom / Robert Mallard6-2, 6-4
2022-04-07vs GPawlush/SEagan (Weddington)Split 11
L#2 DoublesDavid Zheng / Bill Battaile vs Premkumar Jagannathan / Patrick Murchison6-4, 4-6, 0-1
W#3 DoublesJoshua Mu / Xuezhi Tang vs Scott Waldrop / Martin Iles6-3, 7-6
2022-03-31Split 11
L#1 SinglesXuezhi Tang vs Aleksandras Soloveicikas2-6, 1-6
W#2 DoublesDavid Zheng / Bill Battaile vs Nigel Zheng / TIEFENG ZHANG6-4, 6-2
2022-03-24vs RMarks (BRC)Won 10
W#2 DoublesDavid Zheng / Bill Battaile vs Ricky Marks / Kirk Olsen6-4, 6-0
2022-03-03vs KSwain (Park Road)Won 10
W#2 DoublesXuezhi Tang / Jim Zhang vs Saurabh Tyagi / Rahul Ramkumar7-6, 6-3
2022-02-24vs GPawlush/SEagan (Weddington)Won 10
W#3 DoublesDavid Zheng / Xuezhi Tang vs Frank Masucci / Brett Diller6-3, 6-4
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 18 & Over Adult 4.0 Men - Thurs PM 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 3.62 estimated across 3 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.

3.95
Joshua Mu
published
Bill Battaile
usually #2 Doubles 57%, also #1 Doubles 43% · published 4
3.51
Xuezhi Tang
usually #1 Singles 53%, also #3 Doubles 20% · published 3.5
3.40
Yuefeng Han
published 3.5
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.

Yuefeng Han + Xuezhi Tang5253% gamesnot 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.

Joshua Mu
54W–12L career · no lines in 2022
<1%66%34%
3.95
4
Bill Battaile
15W–22L career · type S · 7 lines in 2022
not enough data
3.5
Xuezhi Tang
64W–42L career · 15 lines in 2022
<1%48%52%
3.51
3.5
Yuefeng Han
76W–69L career · no lines in 2022
<1%79%21%
3.40
Hongqing Vincent Wang
5W–5L career · no lines in 2022
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.