Teams

Kick Aces

2022 18&Over Mixed · 7.0

8 players · average NTRP 3.50 / NEW JERSEY REGION

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 →
Schedule7 played
2022-04-01vs You've Been AcedLost 12
W#1 DoublesHong Wang / Liang Chao vs Marijus Kuzavas / Ilena Silverman6-2, 6-2
L#2 DoublesTina Tang / Kai Xu vs Cecilia Orchard / Clint Tomlinson6-0, 3-6, 0-1
L#3 DoublesAlicia Shieh / Justin Zhu vs Kishore Chandrasekharan / Samantha Mulcahy1-6, 4-6
2022-03-25vs You've Been AcedLost 12
W#1 DoublesHong Wang / Tina Tang vs Joseph Gagnon / Lucia Gagnon6-3, 6-2
L#2 DoublesLiang Chao / Daw-Iong Kwok vs Brian Kruse / Cecilia Orchard3-6, 0-6
L#3 DoublesHsiaoli Ma / Marc Hoeltge vs Arthur Ferrante / Samantha Mulcahy2-6, 2-6
2022-03-18vs You've Been AcedLost 03
L#1 DoublesAlicia Shieh / Kai Xu vs Marijus Kuzavas / Ilena Silverman3-6, 3-6
L#2 DoublesLiang Chao / Daw-Iong Kwok vs Clint Tomlinson / Megumi Smillie1-6, 2-6
L#3 DoublesMarc Hoeltge / Miao Mason vs Joseph Gagnon / Samantha Mulcahy4-6, 6-7
2022-03-11vs You've Been AcedLost 03
L#1 DoublesHsiaoli Ma / Daw-Iong Kwok vs Eric Levitch / Robyn Barone0-6, 0-6
L#2 DoublesJerry Zhang / Liang Chao vs Tony Ferrante / Donna Ricker4-6, 3-5
L#3 DoublesMarc Hoeltge / Miao Mason vs Ilena Silverman / Glenn Dykstra2-6, 3-6
2022-03-04vs You've Been AcedLost 12
L#1 DoublesRie Yonemochi / Justin Zhu vs Tony Ferrante / Donna Ricker2-6, 4-6
W#2 DoublesAlicia Shieh / Jerry Zhang vs Arthur Ferrante / Cecilia Orchard4-6, 7-5, 1-0
L#3 DoublesKai Xu / Tina Tang vs Glenn Dykstra / Inessa Rome6-7, 5-4, 0-1
2022-02-25vs You've Been AcedLost 03
L#1 DoublesRie Yonemochi / Justin Zhu vs Samantha Mulcahy / Clint Tomlinson5-7, 3-6
L#2 DoublesAlicia Shieh / Daw-Iong Kwok vs Megumi Smillie / Brian Kruse3-6, 1-6
L#3 DoublesMarc Hoeltge / Hsiaoli Ma vs Joseph Gagnon / Lucia Gagnon3-6, 1-6
2022-02-18vs You've Been AcedLost 03
L#1 DoublesAlicia Shieh / Daw-Iong Kwok vs Robyn Barone / Eric Levitch6-4, 0-6, 0-1
L#2 DoublesTina Tang / Kai Xu vs Kishore Chandrasekharan / Megumi Smillie3-6, 6-4, 0-1
L#3 DoublesJerry Zhang / Miao Mason vs Lucia Gagnon / Joseph Gagnon5-7, 2-6
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 standings2 teams · 7.0
TeamWLInd. WInd. LSets lostGames lost
1You've Been Aced7018310143
2Kick Aces0731837231

Ordered by team wins, then losses, then sets lost — the order USTA uses to seed a flight. Individual wins are lines, not ties.

See the full flight, with every team’s record

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 3.04 estimated across 4 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.

3.59
Hong Wang
usually #1 Doubles 100% · published 4
Alicia Shieh
usually #1 Doubles 40%, also #2 Doubles 40% · published 3.5
2.94
Tina Tang
usually #2 Doubles 50%, also #1 Doubles 25% · published
2.84
Justin Zhu
usually #1 Doubles 67%, also #3 Doubles 33% · published
2.80
Hsiaoli Ma
usually #3 Doubles 67%, also #1 Doubles 33% · published 3
Liang Chao
usually #2 Doubles 75%, also #1 Doubles 25% · published
Miao Mason
usually #3 Doubles 100% · published
Rie Yonemochi
usually #1 Doubles 100% · 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.

Hong Wang + Alicia Shieh7358% games−1.8% vs expected
Hong Wang + Tina Tang3256% 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.

4
Hong Wang
186W–67L career · 2 lines in 2022
25%75%<1%
3.59
3.5
Alicia Shieh
79W–104L career · 5 lines in 2022
not enough data
Tina Tang
36W–56L career · 4 lines in 2022
67%33%<1%
2.94
Justin Zhu
12W–15L career · 3 lines in 2022
<1%89%11%
2.84
3
Hsiaoli Ma
58W–77L career · 3 lines in 2022
1%93%6%
2.80
Liang Chao
38W–51L career · 4 lines in 2022
not enough data
Miao Mason
6W–20L career · 3 lines in 2022
not enough data
Rie Yonemochi
18W–7L career · 2 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.