Teams

New Wave

2022 Montgomery Adult 18 & Over Spring · Montgomery Adult 18 & Over 3.5 Men

9 players · average NTRP 3.50 / MARYLAND

View scouting list →
Schedule9 played
2022-06-23vs Well HongLost 02
L#1 SinglesYunbing Huang vs Darren Felix1-6, 1-6
L#2 DoublesM Zhu / Jing Gu vs Alex Podpaly / Dileep Nair4-6, 4-6
2022-06-13vs DefendersLost 01
L#2 DoublesZhuang Miao / Yunbing Huang vs James Forbes / Jose Miguel Sacin3-6, 3-6
2022-06-07vs MMALost 01
L#2 DoublesYunbing Huang / M Zhu vs Jeremy Bloom / Matthew Bent6-7, 4-6
2022-05-23vs DefendersSplit 11
L#1 SinglesM Zhu vs Shawn Drury7-6, 1-6, 0-1
W#3 DoublesShuang Chen / Yunbing Huang vs Stephen Rawlings / Ivan Kozliak6-1, 6-1
2022-05-20vs MMAWon 10
W#1 DoublesDavid Tong / Yunbing Huang vs Greg Singh / Dominik Cieslak6-2, 6-0
2022-05-11vs Well HongLost 02
L#1 DoublesYi Zhang / Yunbing Huang vs Steven Wolf / Florin Iancu3-6, 6-1, 0-1
L#2 DoublesChenxu Wang / M Zhu vs Jose Leary / Patrick Doane2-6, 3-6
2022-05-06vs DefendersWon 20
W#1 DoublesShuang Chen / Yunbing Huang vs Surendra Babu / Christopher Williams4-6, 6-4, 1-0
W#1 SinglesM Zhu vs Ivan Kozliak7-5, 4-4
2022-05-03vs MMALost 01
L#2 DoublesM Zhu / Ping-Jung Liu vs Jeremy Bloom / Matthew Bent5-7, 2-6
2022-04-27vs Well HongWon 10
W#1 SinglesM Zhu vs Tanzid Shams6-1, 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 Montgomery Adult 18 & Over 3.5 Men 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.

4.04
Shuang Chen
published
3.74
M Zhu
usually #2 Doubles 57%, also #1 Singles 43% · published 4
3.60
Wei Shao
published
3.60
Zhiwei Lin
published
3.43
Yunbing Huang
usually #1 Doubles 43%, also #2 Doubles 29% · published 3.5
3.24
Xiao Liu
published
3.13
David Tong
published 3.5
2.90
Bo Liang
published 3
Ping-Jung Liu
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.

Yunbing Huang + M Zhu134 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.

Shuang Chen
16W–3L career · no lines in 2022
<1%39%61%
4.04
4
M Zhu
49W–56L career · 7 lines in 2022
3%94%2%
3.74
Wei Shao
8W–25L career · no lines in 2022
21%79%<1%
3.60
Zhiwei Lin
10W–8L career · no lines in 2022
21%79%<1%
3.60
3.5
Yunbing Huang
51W–43L career · 7 lines in 2022
<1%71%28%
3.43
Xiao Liu
1W–6L career · no lines in 2022
3%94%2%
3.24
3.5
David Tong
12W–5L career · no lines in 2022
15%85%<1%
3.13
3
Bo Liang
11W–11L career · no lines in 2022
<1%77%23%
2.90
Ping-Jung Liu
1W–2L 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.