Teams

Mixed Waves

2022 Montgomery Mixed 40 & Over Spring · Montgomery Mixed 40 & Over 7.0

10 players · average NTRP 4.12 / MARYLAND

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Schedule3 played
2022-07-27vs Mixed ShotsWon 10
W#1 DoublesM Zhu / Yan Xing vs Phillip Harvin / Sorina Eftim6-1, 6-3
2022-06-29vs Tennis FunLost 01
L#2 DoublesYan Xing / M Zhu vs Jim Leveque / Cintya Leveque2-6, 5-7
2022-06-16vs Mixed ShotsWon 10
W#3 DoublesM Zhu / Zheng Dong vs Shirin Ahmed / Jeffrey Santos6-3, 3-6, 1-0
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 Montgomery 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 3.73 estimated across 9 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.

4.30
Hong Hu
published 4.5
3.82
Yipeng Chen
published
3.79
Warren Chen
published
3.78
Shan Wang
published
3.77
Zheng Dong
published 4
3.74
M Zhu
usually #3 Doubles 33%, also #2 Doubles 33% · published 4
3.65
Yuan Zhang
published
3.63
Tana Jankowiak
published 4
3.12
Serena Zhang
published
Renhuan Xu
published
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.

4.5
Hong Hu
10W–13L career · no lines in 2022
1%93%6%
4.30
Yipeng Chen
7W–8L career · no lines in 2022
1%91%8%
3.82
Warren Chen
41W–33L career · no lines in 2022
1%93%5%
3.79
Shan Wang
31W–14L career · no lines in 2022
2%94%4%
3.78
4
Zheng Dong
80W–38L career · no lines in 2022
2%94%4%
3.77
4
M Zhu
49W–56L career · 3 lines in 2022
3%94%2%
3.74
Yuan Zhang
48W–17L career · no lines in 2022
<1%13%87%
3.65
4
Tana Jankowiak
103W–71L career · no lines in 2022
15%85%<1%
3.63
Serena Zhang
3W–5L career · no lines in 2022
17%82%<1%
3.12
Renhuan Xu
0W–1L 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.