Teams

The van Mol Pack

Mixed 55 & Over · 7.0 Mixed Doubles Central

20 players · average NTRP 3.50 / NEW JERSEY

View scouting list →
Schedule8 played
2026-05-02vs Courtside ContendersLost 03
L#1 DoublesDaniel Higgins / Tong Zhang vs Mitch Kleiman / Lorise Chow1-6, 6-3, 0-1
L#2 DoublesChanaka Amarasinghe / Susan Roos vs Kent Yang / Karen Unglaub3-6, 6-4, 1-0
L#3 DoublesArthur Ferrante / Sharon Becker vs Mansour Rismanchi / Wendy Worth3-6, 2-6
2026-04-25vs NJD/Love AllWon 21
W#1 DoublesTony Ferrante / Kate Seaman vs Jie Yuan / Mary Chion6-4, 7-5
W#2 DoublesRudolf van Mol / Rachel Juliana vs Yunyun Xiong / Tie Zhao6-3, 3-6, 1-0
L#3 DoublesClint Tomlinson / Sharon Becker vs Andrea Chu / Johann Lim5-7, 1-6
2026-04-18vs Net SparklesWon 30
W#1 DoublesBobby Choe / Rachel Juliana vs Lang Lu / Jane Wang5-7, 6-4, 1-0
W#2 DoublesTony Ferrante / JANET van MOL vs Wei Liu / Ximin Gong6-7, 7-5, 1-0
W#3 DoublesChanaka Amarasinghe / Denise Moser vs Karolina Li / Tian Hong6-1, 6-2
2026-04-12vs The Rat PackWon 30
W#1 DoublesTony Ferrante / Kate Seaman vs Jeff Switzer / Leigh Gronau6-0, 6-2
W#2 DoublesRudolf van Mol / Rachel Juliana vs Michael Bzdak / Meredith Bzdak6-1, 6-1
W#3 DoublesLeonard Charles / Brigette Elaina Brooks vs Joseph Tomasello / Linda Peters6-1, 6-2
2026-04-04vs NJD/Love AllLost 12
W#1 DoublesJuanita Tam / Steve Woo vs Johann Lim / Andrea Chu6-4, 6-3
L#2 DoublesBobby Choe / Rachel Juliana vs Hong Wang / Jun Sheng3-6, 3-6
L#3 DoublesSteven Bloom / Denise Moser vs Mary Chion / Jie Yuan2-6, 3-6
2026-03-22vs Courtside ContendersWon 30
W#1 DoublesTony Ferrante / Kate Seaman vs Marie Collazo / Scott Grossman6-2, 4-6, 1-0
W#2 DoublesBrigette Elaina Brooks / Clint Tomlinson vs Wendy Worth / Israel Galarza6-0, 6-1
W#3 DoublesJuanita Tam / Arthur Ferrante vs Steven Farnesi / Karen Unglaub6-3, 6-1
2026-03-08vs Net SparklesWon 30
W#1 DoublesRudolf van Mol / Susan Roos vs Ximin Gong / Wei Liu6-3, 6-3
W#2 DoublesDaniel Higgins / Kate Seaman vs Lang Lu / Karolina Li6-1, 6-1
W#3 DoublesSteve Woo / JANET van MOL vs Tian Hong / Jane Wang7-5, 6-7, 1-0
2026-03-01vs The Rat PackWon 30
W#1 DoublesSteve Woo / Tong Zhang vs Sudhakar Rao / Elizabeth Ballantine6-2, 3-6, 1-0
W#2 DoublesTony Ferrante / Kate Seaman vs Jeff Maskovsky / Laura Brasher6-3, 7-5
W#3 DoublesSteven Bloom / Rachel Juliana vs Joseph Tomasello / Tina Gonzalez7-6, 5-3
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 · 7.0 Mixed Doubles Central
TeamWLInd. WInd. LSets lostGames lost
1NJD/Love All0820411147
2The van Mol Pack0818618185
3Courtside Contenders0891533236
4Net Sparkles0871736238
5The Rat Pack0861839268

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 3.29 estimated across 18 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.

3.90
Rudolf van Mol
usually #1 Doubles 40%, also #2 Doubles 40% · published
3.73
Bobby Choe
usually #1 Doubles 75%, also #2 Doubles 25% · published 4
3.72
Chanaka Amarasinghe
usually #3 Doubles 50%, also #2 Doubles 50% · published 4
3.50
Juanita Tam
usually #3 Doubles 50%, also #1 Doubles 50% · published 3.5
3.49
Leonard Charles
usually #3 Doubles 100% · published
3.48
Kate Seaman
usually #1 Doubles 60%, also #2 Doubles 40% · published 3.5
3.40
Tony Ferrante
usually #1 Doubles 60%, also #2 Doubles 40% · published 3.5
3.39
Arthur Ferrante
usually #3 Doubles 100% · published 3.5
3.35
Steve Woo
usually #1 Doubles 67%, also #3 Doubles 33% · published
3.34
Sharon Becker
usually #3 Doubles 100% · published
3.32
Clint Tomlinson
usually #2 Doubles 50%, also #3 Doubles 50% · published 3.5
Daniel Higgins
published 3.5
3.17
Tong Zhang
usually #1 Doubles 50%, also #3 Doubles 25% · published
3.11
Brigette Elaina Brooks
usually #2 Doubles 50%, also #3 Doubles 50% · published 3.5
3.10
JANET van MOL
usually #3 Doubles 71%, also #2 Doubles 29% · published 3.5
2.91
Denise Moser
usually #3 Doubles 100% · published 3
2.80
Hsiaoli Ma
published
2.80
Susan Roos
usually #2 Doubles 50%, also #1 Doubles 50% · published
2.77
Rachel Juliana
usually #2 Doubles 60%, also #3 Doubles 20% · published 3
Steven Bloom
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.

JANET van MOL + Tony Ferrante7256% games+9.5% vs expected
Rudolf van Mol + JANET van MOL342552% games+2.3% vs expected
Rudolf van Mol + Tong Zhang6058% games−8.3% vs expected
Sharon Becker + Clint Tomlinson4548% gamesnot enough data
Kate Seaman + Tony Ferrante4352% gamesnot enough data
Chanaka Amarasinghe + Rachel Juliana4254% gamesnot enough data
JANET van MOL + Steve Woo6061% gamesnot enough data
Tong Zhang + Bobby Choe213 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.

Rudolf van Mol
327W–239L career · 5 lines in 2026
<1%76%24%
3.90
4
Bobby Choe
268W–209L career · 4 lines in 2026
5%92%3%
3.73
4
Chanaka Amarasinghe
178W–143L career · 2 lines in 2026
6%92%2%
3.72
3.5
Juanita Tam
161W–104L career · 2 lines in 2026
<1%51%49%
3.50
Leonard Charles
65W–60L career · 1 line in 2026
<1%54%46%
3.49
3.5
Kate Seaman
108W–169L career · 5 lines in 2026
<1%55%45%
3.48
3.5
Tony Ferrante
193W–138L career · 5 lines in 2026
<1%75%25%
3.40
3.5
Arthur Ferrante
100W–90L career · 2 lines in 2026
<1%79%21%
3.39
Steve Woo
70W–33L career · 3 lines in 2026
1%85%14%
3.35
Sharon Becker
175W–87L career · 2 lines in 2026
1%87%12%
3.34
3.5
Clint Tomlinson
192W–174L career · 2 lines in 2026
1%89%10%
3.32
3.5
Daniel Higgins
48W–32L career · no lines in 2026
not enough data
Tong Zhang
113W–57L career · 4 lines in 2026
11%88%1%
3.17
3.5
Brigette Elaina Brooks
230W–244L career · 2 lines in 2026
22%78%<1%
3.11
3.5
JANET van MOL
532W–360L career · 7 lines in 2026
23%76%<1%
3.10
3
Denise Moser
60W–72L career · 2 lines in 2026
<1%74%26%
2.91
Hsiaoli Ma
58W–77L career · no lines in 2026
2%91%8%
2.80
Susan Roos
43W–91L career · 2 lines in 2026
2%91%7%
2.80
3
Rachel Juliana
107W–119L career · 5 lines in 2026
3%92%5%
2.77
Steven Bloom
32W–16L 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.