Teams

WTF Mixed 40

2022 40&Over Mixed · 7.0

14 players · average NTRP 3.92 / 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 →
Schedule6 played
2022-06-18vs Swinging @40Won 21
W#1 DoublesClint Tomlinson / Hannah McLaughlin vs Yi-Fan Hu / Tony Ferrante5-7, 7-6, 1-0
W#2 DoublesMegumi Smillie / Patrick Hsu vs Arthur Ferrante / Donna Ricker6-3, 6-3
L#3 DoublesKazumi Otake / Michael Huh vs Nicole Caputo / Nick Caputo5-7, 3-6
2022-06-11vs Swinging @40Lost 02
L#1 DoublesClint Tomlinson / Hannah McLaughlin vs Dongsung Lim / Donna Ricker0-6, 4-6
L#3 DoublesNeil Labay / Clair Kerner vs Joseph Gagnon / Lucia Gagnon7-6, 3-6, 0-1
2022-05-21vs Swinging @40Lost 03
L#1 DoublesJoshua Peters / Hannah McLaughlin vs Marijus Kuzavas / Saori Shiokawa2-6, 4-6
L#2 DoublesClint Tomlinson / Cecilia Sienra vs Joseph Gagnon / Lucia Gagnon2-6, 4-6
L#3 DoublesTomira Rozar / Michael Halling vs Yi-Fan Hu / Tony Ferrante7-6, 5-7, 1-0
2022-05-14vs Swinging @40Lost 03
L#1 DoublesEdmund Corvelli / Cecilia Sienra vs Nicole Caputo / Nick Caputo2-6, 3-6
L#2 DoublesSoo Ji Park / Daniel Zimmon vs Saori Shiokawa / Marijus Kuzavas2-6, 6-4, 0-1
L#3 DoublesTomira Rozar / Michael Halling vs Cecilia Orchard / Brian Kruse6-4, 3-6, 1-0
2022-05-07vs Swinging @40Won 20
W#1 DoublesSoo Ji Park / Daniel Zimmon vs Samantha Mulcahy / Dongsung Lim6-4, 6-3
W#3 DoublesCecilia Sienra / Joshua Peters vs Corinne Chakhtoura / Arthur Ferrante4-6, 6-3, 1-0
2022-04-30vs Swinging @40Lost 12
L#1 DoublesSoo Ji Park / Daniel Zimmon vs Saori Shiokawa / Marijus Kuzavas6-7, 3-5
W#2 DoublesClint Tomlinson / Cecilia Sienra vs Cecilia Orchard / Kishore Chandrasekharan6-4, 6-3
L#3 DoublesTomira Rozar / Michael Halling vs Lucia Gagnon / Joseph Gagnon3-6, 6-0, 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 standings2 teams · 7.0
TeamWLInd. WInd. LSets lostGames lost
1Swinging @400611719173
2WTF Mixed 400671124183

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 3.63 estimated across 10 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.

4.22
Megumi Smillie
usually #1 Doubles 58%, also #2 Doubles 42% · published 4.5
3.82
Tomira Rozar
usually #3 Doubles 100% · published
3.80
Daniel Zimmon
usually #1 Doubles 50%, also #2 Doubles 50% · published 4
3.78
Edmund Corvelli
usually #1 Doubles 100% · published 4
3.74
Soo Ji Park
usually #2 Doubles 33%, also #3 Doubles 33% · published
3.58
Hannah McLaughlin
usually #1 Doubles 57%, also #3 Doubles 43% · published 4
3.48
Joshua Peters
usually #2 Doubles 50%, also #3 Doubles 33% · published
3.33
Kazumi Otake
usually #3 Doubles 100% · published
3.32
Clint Tomlinson
usually #2 Doubles 56%, also #1 Doubles 44% · published 3.5
3.19
Cecilia Sienra
usually #2 Doubles 50%, also #1 Doubles 25% · published 3.5
Clair Kerner
usually #3 Doubles 100% · published
Michael Huh
usually #1 Doubles 33%, also #2 Doubles 33% · published
Neil Labay
usually #3 Doubles 100% · published
Patrick Hsu
usually #2 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.

Clint Tomlinson + Megumi Smillie6069% games+11.1% vs expected
Soo Ji Park + Daniel Zimmon361358% games+7.1% vs expected
Clint Tomlinson + Cecilia Sienra4845% gamesnot enough data
Michael Huh + Kazumi Otake123 matchesnot enough data
Patrick Hsu + Kazumi Otake123 matchesnot enough data
Hannah McLaughlin + Joshua Peters213 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.

4.5
Megumi Smillie
219W–84L career · 12 lines in 2022
5%94%2%
4.22
Tomira Rozar
87W–63L career · 3 lines in 2022
1%91%9%
3.82
4
Daniel Zimmon
153W–72L career · 6 lines in 2022
1%93%6%
3.80
4
Edmund Corvelli
30W–8L career · 1 line in 2022
2%94%5%
3.78
Soo Ji Park
108W–50L career · 6 lines in 2022
3%94%2%
3.74
4
Hannah McLaughlin
127W–71L career · 7 lines in 2022
26%74%<1%
3.58
Joshua Peters
78W–91L career · 6 lines in 2022
55%45%<1%
3.48
Kazumi Otake
100W–44L career · 1 line in 2022
1%90%9%
3.33
3.5
Clint Tomlinson
192W–174L career · 9 lines in 2022
1%91%9%
3.32
3.5
Cecilia Sienra
57W–50L career · type A · 4 lines in 2022
7%92%1%
3.19
Clair Kerner
0W–4L career · 1 line in 2022
not enough data
Michael Huh
64W–41L career · 6 lines in 2022
not enough data
Neil Labay
40W–33L career · 1 line in 2022
not enough data
Patrick Hsu
49W–32L career · 1 line 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.