Teams

Hot Mix

Mixed 40 & Over · 8.0 Central Mixed Doubles

19 players · average NTRP 4.00 / NEW JERSEY

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Schedule10 played
2026-04-18vs NJD/DjokersLost 12
L#1 DoublesYannis Androulakis / Molly Mahn vs Michael Larkin / Mandi Vilares2-6, 4-6
L#2 DoublesTony Ferrante / Courtney Baiardi vs Andrew Bowers / Shana Shah3-6, 0-6
W#3 DoublesRudolf van Mol / Rupal Kothari vs David Cernava / Kelly Jobes6-4, 6-2
2026-04-11vs Net NinjasLost 12
L#1 DoublesMolly Mahn / Mansour Rismanchi vs Teresa Rim / Arvind Upadhyay6-7, 4-6
L#2 DoublesKaren James / Rudolf van Mol vs Vanessa Nied / David Bochner3-6, 4-6
W#3 DoublesSadik Sendich / JANET van MOL vs N/A6-0, 6-0
2026-04-04vs Lost-SolesWon 21
W#1 DoublesMolly Mahn / Mansour Rismanchi vs Chris Moran / Linh Fruge6-1, 6-4
L#2 DoublesTony Ferrante / Michelle Moylan vs Izabela Duda / Steven Kong0-6, 6-4, 0-1
W#3 DoublesChanaka Amarasinghe / Lan Luo vs Dorothy Logan / Samir Shah6-3, 6-2
2026-03-28vs M-TigersLost 12
W#1 DoublesRupal Kothari / Yannis Androulakis vs Mary Chion / Nui Chan4-6, 6-1, 1-0
L#2 DoublesSadik Sendich / JANET van MOL vs Yijun Lu / Chih Chang3-6, 5-7
L#3 DoublesMansour Rismanchi / Michelle Moylan vs Hong Wang / Liyun Feng1-6, 4-6
2026-03-21vs Mixed UpLost 12
L#1 DoublesCourtney Baiardi / Tony Ferrante vs Lars Bohn / Christina Bohn3-6, 4-6
L#2 DoublesChanaka Amarasinghe / Lan Luo vs Kaptan Karsolia / Brigette Elaina Brooks0-6, 1-6
W#3 DoublesOlga Carey / Patryk Hirsz vs Jamie Wasserman / Francois Fournier6-2, 6-7, 1-0
2026-03-07vs NJD/DjokersLost 03
L#1 DoublesChanaka Amarasinghe / Rupal Kothari vs Andrew Bowers / Christine Downs4-6, 5-7
L#2 DoublesRitch Belen / Michelle Moylan vs Ryan Finnie / Ivy Brown2-6, 0-6
L#3 DoublesMansour Rismanchi / Lan Luo vs Roy Schonberg / Andrea Bowers3-6, 5-7
2026-02-28vs Net NinjasLost 12
L#1 DoublesMansour Rismanchi / Allison Liss vs Richard Liu / Teresa Rim3-6, 4-6
W#2 DoublesChanaka Amarasinghe / Lan Luo vs JUHEE LEE / Jim Serrano6-4, 1-6, 1-0
L#3 DoublesRitch Belen / Tong Zhang vs Soo Kim / Carlos Vasquez Sr2-6, 1-6
2026-02-21vs M-TigersWon 21
W#1 DoublesOlga Carey / Patryk Hirsz vs Li Liu / Jun He6-1, 6-1
W#2 DoublesCourtney Baiardi / Tony Ferrante vs Yuan Li / Aris Cheng6-2, 6-4
L#3 DoublesRitch Belen / Michelle Moylan vs Andrea Chu / Hong Wang2-6, 3-6
2026-02-07vs Mixed UpLost 12
L#1 DoublesAllison Liss / Rudolf van Mol vs Christina Bohn / Lars Bohn4-6, 6-1, 0-1
L#2 DoublesCourtney Baiardi / Tony Ferrante vs Brigette Elaina Brooks / Jon Rubinstein4-6, 7-6, 0-1
W#3 DoublesKaren James / Ritch Belen vs Jamie Wasserman / AUSTIN KIM6-4, 6-2
2026-01-31vs Lost-SolesLost 03
L#1 DoublesPatryk Hirsz / Olga Carey vs Ron Mendoza / Danielle Nappi1-6, 6-4, 0-1
L#2 DoublesChanaka Amarasinghe / Lan Luo vs Dennis Fernandes / Yuning Ren1-6, 6-2, 1-0
L#3 DoublesRisa Kaban / Tony Ferrante vs Allison Bloch / Samir Shah2-6, 5-7
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 standings5 teams · 8.0 Central Mixed Doubles
TeamWLInd. WInd. LSets lostGames lost
1NJD/Djokers01023723242
2Mixed Up010201025243
3Lost-Soles010141638286
4Hot Mix010102043292
5M-Tigers01062449312

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 3.70 estimated across 16 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.

4.43
Sadik Sendich
usually #2 Doubles 50%, also #3 Doubles 50% · published 4.5
4.30
Courtney Baiardi
usually #2 Doubles 75%, also #1 Doubles 25% · published 4.5
3.91
Molly Mahn
usually #1 Doubles 60%, also #3 Doubles 40% · published 4
3.90
Rudolf van Mol
usually #3 Doubles 57%, also #2 Doubles 29% · published
3.87
Patryk Hirsz
usually #1 Doubles 67%, also #3 Doubles 33% · published
3.85
Allison Liss
usually #1 Doubles 100% · published 4
3.76
Mansour Rismanchi
usually #3 Doubles 56%, also #1 Doubles 44% · published
3.74
Karen James
usually #3 Doubles 50%, also #2 Doubles 50% · published
3.72
Chanaka Amarasinghe
usually #2 Doubles 71%, also #1 Doubles 14% · published 4
3.65
Ritch Belen
usually #3 Doubles 75%, also #2 Doubles 25% · published 4
3.49
Lan Luo
usually #2 Doubles 60%, also #3 Doubles 40% · published
3.47
Rupal Kothari
usually #1 Doubles 67%, also #3 Doubles 33% · published
3.47
Michelle Moylan
usually #2 Doubles 50%, also #3 Doubles 50% · published
3.40
Tony Ferrante
usually #2 Doubles 50%, also #1 Doubles 40% · published 3.5
3.17
Tong Zhang
usually #2 Doubles 50%, also #3 Doubles 25% · published
3.10
JANET van MOL
usually #3 Doubles 50%, also #2 Doubles 50% · published 3.5
Olga Carey
usually #1 Doubles 67%, also #3 Doubles 33% · published
Risa Kaban
usually #3 Doubles 100% · published
Yannis Androulakis
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.

Rudolf van Mol + Allison Liss11362% games+11.9% vs expected
JANET van MOL + Tony Ferrante7256% games+9.5% vs expected
JANET van MOL + Sadik Sendich13661% games+5.1% vs expected
Rudolf van Mol + JANET van MOL342552% games+2.3% vs expected
Chanaka Amarasinghe + Lan Luo2344% games−1.5% vs expected
Olga Carey + Patryk Hirsz12258% games−5.4% vs expected
Chanaka Amarasinghe + Olga Carey61050% games−7.4% vs expected
Rudolf van Mol + Tong Zhang6058% games−8.3% vs expected
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
Sadik Sendich
135W–77L career · 2 lines in 2026
<1%69%31%
4.43
4.5
Courtney Baiardi
54W–23L career · 4 lines in 2026
1%90%8%
4.30
4
Molly Mahn
141W–102L career · 5 lines in 2026
<1%73%26%
3.91
Rudolf van Mol
327W–239L career · 7 lines in 2026
<1%76%24%
3.90
Patryk Hirsz
35W–19L career · 3 lines in 2026
<1%82%18%
3.87
4
Allison Liss
67W–34L career · 2 lines in 2026
1%84%15%
3.85
Mansour Rismanchi
78W–71L career · 9 lines in 2026
3%93%4%
3.76
Karen James
92W–59L career · 2 lines in 2026
4%92%3%
3.74
4
Chanaka Amarasinghe
178W–143L career · 7 lines in 2026
6%92%2%
3.72
4
Ritch Belen
123W–137L career · 4 lines in 2026
14%86%1%
3.65
Lan Luo
102W–77L career · 5 lines in 2026
52%48%<1%
3.49
Rupal Kothari
80W–56L career · 3 lines in 2026
57%43%<1%
3.47
Michelle Moylan
17W–27L career · 4 lines in 2026
60%40%<1%
3.47
3.5
Tony Ferrante
193W–138L career · 10 lines in 2026
<1%75%25%
3.40
Tong Zhang
113W–57L career · 4 lines in 2026
11%88%1%
3.17
3.5
JANET van MOL
532W–360L career · 4 lines in 2026
23%76%<1%
3.10
Olga Carey
139W–66L career · 3 lines in 2026
not enough data
Risa Kaban
8W–7L career · 1 line in 2026
not enough data
Yannis Androulakis
21W–27L career · 2 lines in 2026
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.