Teams

Honey Deuces Lovers!

Mixed 40 & Over · 7.0 Central Mixed Doubles

23 players · average NTRP 3.46 / NEW JERSEY

View scouting list →
Schedule10 played
2026-04-19vs Fun Court LoveLost 02
L#1 DoublesMansour Rismanchi / Donna Zambo vs Harold Stern / Amy Han6-4, 4-6, 0-1
L#2 DoublesBrigette Elaina Brooks / Matthew Tobin vs Yoojung Co / Robert Fea6-3, 1-6, 0-1
2026-04-11vs NATIONAL/Forty-LoveLost 03
L#1 DoublesTony Ferrante / Kate Seaman vs Xuezhou Mao / Alison North5-7, 3-6
L#2 DoublesSharon Becker / Clint Tomlinson vs Liyun Feng / Jingyun Chen1-6, 3-6
L#3 DoublesJennifer Leighton / Jigar Shah vs Andrea Chu / Mengchu Zhou3-6, 0-3
2026-04-04vs The Rat PackWon 20
W#2 DoublesLeonard Charles / JANET van MOL vs Joseph Tomasello / Laura Brasher6-0, 3-6, 1-0
W#3 DoublesMansour Rismanchi / Donna Zambo vs Sudhakar Rao / Leigh Gronau6-1, 6-1
2026-03-28vs Courtside ContendersLost 12
L#1 DoublesTony Ferrante / Tong Zhang vs Egle Jokubauskyte / Donatas Augylius2-6, 6-7
L#2 DoublesChanaka Amarasinghe / Rachel Juliana vs Andre Sutrisno / Marie Collazo5-7, 7-5, 0-1
W#3 DoublesJANET van MOL / Leonard Charles vs N/A6-0, 6-0
2026-03-21vs Dragon FlyWon 20
W#2 DoublesMatthew Tobin / Tong Zhang vs Lia Chen / Lixiong Gu6-3, 3-6, 1-0
W#3 DoublesJennifer Leighton / Mansour Rismanchi vs Aris Cheng / Jewel Liu6-2, 7-5
2026-03-21vs Fun Court LoveLost 02
L#2 DoublesTony Ferrante / Kate Seaman vs Kathy Tsang / Scott Grossman3-6, 2-6
L#3 DoublesClint Tomlinson / Brigette Elaina Brooks vs Vanessa Nied / Robert Fea4-6, 7-5, 0-1
2026-02-28vs NATIONAL/Forty-LoveLost 03
L#1 DoublesTony Ferrante / Kate Seaman vs Jingyun Chen / Alison North1-6, 6-4, 0-1
L#2 DoublesHsiaoli Ma / Rudolf van Mol vs Liyun Feng / Xuezhou Mao3-6, 2-6
L#3 DoublesRobert Jaeger / Molly Mahn vs Mary Chion / Kevin Wang2-6, 4-6
2026-02-21vs Courtside ContendersWon 21
W#1 DoublesSharon Becker / Clint Tomlinson vs Andre Sutrisno / Egle Jokubauskyte6-2, 6-7, 1-0
L#2 DoublesChanaka Amarasinghe / Jennifer Leighton vs Jianming Zhang / Marie Collazo2-6, 5-7
W#3 DoublesMansour Rismanchi / Donna Zambo vs Joan Kern / SAGAR SAWANT2-6, 6-4, 1-0
2026-02-07vs Dragon FlySplit 11
L#2 DoublesDaniel Higgins / Tong Zhang vs Lang Lu / Yunyun Xiong6-4, 3-6, 1-0
W#3 DoublesMolly Mahn / Robert Jaeger vs Yuming Zhao / Allan Zheng4-6, 6-3, 1-0
2026-01-31vs The Rat PackWon 30
W#1 DoublesClint Tomlinson / Sharon Becker vs Jeff Maskovsky / Laura Brasher6-2, 7-6
W#2 DoublesLeonard Charles / Brigette Elaina Brooks vs Patrick Todd / Leigh Gronau5-7, 6-3, 1-0
W#3 DoublesDaniel Higgins / Kate Seaman vs David Hilgen / Michele Gioia6-2, 6-1
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 standings3 teams · 7.0 Central Mixed Doubles
TeamWLInd. WInd. LSets lostGames lost
1NATIONAL/Forty-Love01026411173
2Fun Court Love01024618204
3Honey Deuces Lovers!010151537279

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 3.32 estimated across 20 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.

3.92
Molly Mahn
usually #1 Doubles 60%, also #3 Doubles 40% · published 4
3.91
Rudolf van Mol
usually #3 Doubles 57%, also #2 Doubles 29% · published
3.79
Aaron Palmer
usually #1 Doubles 60%, also #3 Doubles 20% · published 4
3.79
Mansour Rismanchi
usually #3 Doubles 56%, also #1 Doubles 44% · published
3.72
Chanaka Amarasinghe
usually #2 Doubles 71%, also #1 Doubles 14% · published 4
3.49
Kate Seaman
usually #1 Doubles 50%, also #3 Doubles 25% · published 3.5
3.48
Leonard Charles
usually #2 Doubles 67%, also #3 Doubles 33% · published
3.44
Jigar Shah
usually #3 Doubles 100% · published
3.41
Tony Ferrante
usually #2 Doubles 50%, also #1 Doubles 40% · published 3.5
3.33
Sharon Becker
usually #1 Doubles 67%, also #2 Doubles 33% · published
3.32
Clint Tomlinson
usually #1 Doubles 50%, also #3 Doubles 25% · published 3.5
Daniel Higgins
published 3.5
3.17
Tong Zhang
usually #2 Doubles 50%, also #3 Doubles 25% · published
3.13
Brigette Elaina Brooks
usually #2 Doubles 67%, also #1 Doubles 22% · published 3.5
3.10
JANET van MOL
usually #3 Doubles 50%, also #2 Doubles 50% · published 3.5
3.10
Matthew Tobin
usually #2 Doubles 100% · published
2.90
Denise Moser
published 3
2.89
Naoko Kumagai
usually #1 Doubles 69%, also #2 Doubles 15% · published
2.88
Donna Zambo
usually #3 Doubles 67%, also #1 Doubles 33% · published 3
2.80
Hsiaoli Ma
usually #2 Doubles 100% · published 3
2.77
Rachel Juliana
usually #2 Doubles 100% · published 3
Jennifer Leighton
published
Robert Jaeger
usually #3 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.

Donna Zambo + Mansour Rismanchi7261% games+14.6% vs expected
JANET van MOL + Jigar Shah141055% games+10.7% vs expected
JANET van MOL + Tony Ferrante7256% games+9.4% vs expected
Naoko Kumagai + Aaron Palmer321157% games+7.2% vs expected
Rudolf van Mol + JANET van MOL342552% games+1.1% vs expected
Chanaka Amarasinghe + Rachel Juliana4254% games−5.7% vs expected
Rudolf van Mol + Tong Zhang6058% games−8.2% vs expected
Sharon Becker + Clint Tomlinson4548% 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
Molly Mahn
141W–102L career · 5 lines in 2026
<1%74%26%
3.92
Rudolf van Mol
327W–239L career · 7 lines in 2026
<1%75%25%
3.91
4
Aaron Palmer
107W–69L career · 10 lines in 2026
1%93%5%
3.79
Mansour Rismanchi
78W–71L career · 9 lines in 2026
1%94%5%
3.79
4
Chanaka Amarasinghe
178W–143L career · 7 lines in 2026
5%94%1%
3.72
3.5
Kate Seaman
108W–169L career · 4 lines in 2026
<1%54%46%
3.49
Leonard Charles
65W–60L career · 3 lines in 2026
<1%55%45%
3.48
Jigar Shah
90W–39L career · 1 line in 2026
<1%69%31%
3.44
3.5
Tony Ferrante
193W–138L career · 10 lines in 2026
<1%75%25%
3.41
Sharon Becker
188W–95L career · 3 lines in 2026
1%89%10%
3.33
3.5
Clint Tomlinson
192W–174L career · 4 lines in 2026
1%91%9%
3.32
3.5
Daniel Higgins
51W–34L career · no lines in 2026
not enough data
Tong Zhang
113W–57L career · 4 lines in 2026
9%90%1%
3.17
3.5
Brigette Elaina Brooks
230W–244L career · 9 lines in 2026
15%85%<1%
3.13
3.5
JANET van MOL
532W–360L career · 4 lines in 2026
21%79%<1%
3.10
Matthew Tobin
41W–40L career · 2 lines in 2026
23%77%<1%
3.10
3
Denise Moser
60W–72L career · no lines in 2026
<1%77%23%
2.90
Naoko Kumagai
70W–43L career · 13 lines in 2026
<1%79%21%
2.89
3
Donna Zambo
12W–3L career · type S · 3 lines in 2026
<1%82%18%
2.88
3
Hsiaoli Ma
58W–77L career · 1 line in 2026
1%93%6%
2.80
3
Rachel Juliana
107W–119L career · 1 line in 2026
2%94%4%
2.77
Jennifer Leighton
104W–133L career · no lines in 2026
not enough data
Robert Jaeger
1W–7L 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.