Teams

Net Sparkles

Mixed 55 & Over · 7.0 Mixed Doubles Central

14 players · average NTRP 3.20 / NEW JERSEY

View scouting list →
Schedule8 played
2026-04-25vs The Rat PackWon 21
W#1 DoublesSusanna Smit / Jack Guan vs Jeff West / Christina Bohn4-6, 6-3, 1-0
L#2 DoublesJane Wang / Lang Lu vs Joseph Tomasello / Linda Peters6-2, 5-7, 0-1
W#3 DoublesJunjie Xiong / Karolina Li vs N/A6-0, 6-0
2026-04-18vs The van Mol PackLost 03
L#1 DoublesLang Lu / Jane Wang vs Bobby Choe / Rachel Juliana7-5, 4-6, 0-1
L#2 DoublesWei Liu / Ximin Gong vs Tony Ferrante / JANET van MOL7-6, 5-7, 0-1
L#3 DoublesKarolina Li / Tian Hong vs Chanaka Amarasinghe / Denise Moser1-6, 2-6
2026-04-12vs Courtside ContendersWon 21
L#1 DoublesSusanna Smit / Sheng Shi vs Torrie Kline / Mitch Kleiman2-6, 4-6
W#2 DoublesJunjie Xiong / Amy Radomski vs Karen Unglaub / Steven Farnesi6-3, 3-6, 1-0
W#3 DoublesJennifer YP Lee / Thomas Tung vs N/A6-0, 6-0
2026-03-29vs NJD/Love AllLost 03
L#1 DoublesSusanna Smit / Sheng Shi vs Andrea Chu / Johann Lim7-6, 1-6, 0-1
L#2 DoublesTatiana Zohar / Lang Lu vs Jun Sheng / Yun Shao3-6, 4-6
L#3 DoublesJane Wang / Ximin Gong vs Lia Chen / Jiachang Gong6-4, 3-6, 1-0
2026-03-15vs The Rat PackLost 03
L#1 DoublesSusanna Smit / Jack Guan vs Michael Cirasola / Tina Gonzalez6-7, 2-4
L#2 DoublesKarolina Li / Ximin Gong vs David Hilgen / Christina Bohn6-4, 5-7, 0-1
L#3 DoublesLang Lu / Amy Radomski vs Joseph Tomasello / Linda Peters4-6, 6-5, 1-0
2026-03-08vs The van Mol PackLost 03
L#1 DoublesXimin Gong / Wei Liu vs Rudolf van Mol / Susan Roos3-6, 3-6
L#2 DoublesLang Lu / Karolina Li vs Daniel Higgins / Kate Seaman1-6, 1-6
L#3 DoublesTian Hong / Jane Wang vs Steve Woo / JANET van MOL5-7, 7-6, 0-1
2026-03-01vs Courtside ContendersWon 30
W#1 DoublesSusanna Smit / Sheng Shi vs Wendy Worth / Jonathan Pranitis6-2, 6-0
W#2 DoublesXimin Gong / Wei Liu vs Steven Farnesi / Anabela Araujo6-2, 6-3
W#3 DoublesThomas Tung / Jennifer YP Lee vs Karen Unglaub / Mitch Kleiman7-5, 7-5
2026-02-01vs NJD/Love AllLost 03
L#1 DoublesSusanna Smit / Jack Guan vs Johann Lim / Andrea Chu4-6, 1-6
L#2 DoublesTatiana Zohar / Junjie Xiong vs Mary Chion / Jie Yuan1-6, 1-6
L#3 DoublesAmy Radomski / Tian Hong vs Mona Sickles / Hong Wang2-6, 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 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 3.04 estimated across 12 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.

3.75
Susanna Smit
usually #1 Doubles 100% · published 4
3.47
Ximin Gong
usually #2 Doubles 60%, also #1 Doubles 20% · published
3.29
Tian Hong
usually #3 Doubles 100% · published
3.10
Jack Guan
usually #1 Doubles 100% · published
3.09
Thomas Tung
usually #3 Doubles 100% · published
3.07
Lang Lu
usually #2 Doubles 60%, also #1 Doubles 20% · published
2.95
Sheng Shi
usually #1 Doubles 100% · published
2.86
Karolina Li
usually #2 Doubles 50%, also #3 Doubles 50% · published 3
2.82
Amy Radomski
usually #3 Doubles 67%, also #2 Doubles 33% · published 3
2.78
Tatiana Zohar
usually #2 Doubles 100% · published 3
2.76
Jennifer YP Lee
usually #3 Doubles 100% · published 3
2.58
Wei Liu
usually #2 Doubles 67%, also #1 Doubles 33% · published
Jane Wang
published
Junjie Xiong
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.

Ximin Gong + Wei Liu41049% games+7.3% vs expected
Thomas Tung + Jennifer YP Lee303 matchesnot enough data
Lang Lu + Wei Liu213 matchesnot enough data
Jack Guan + Susanna Smit123 matchesnot enough data
Sheng Shi + Susanna Smit123 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
Susanna Smit
42W–49L career · 6 lines in 2026
4%93%4%
3.75
Ximin Gong
43W–43L career · 5 lines in 2026
<1%59%41%
3.47
Tian Hong
17W–31L career · 3 lines in 2026
2%91%7%
3.29
Jack Guan
10W–7L career · 3 lines in 2026
23%76%<1%
3.10
Thomas Tung
19W–19L career · 1 line in 2026
26%74%<1%
3.09
Lang Lu
20W–18L career · 5 lines in 2026
32%68%<1%
3.07
Sheng Shi
40W–33L career · 3 lines in 2026
<1%64%36%
2.95
3
Karolina Li
76W–54L career · 4 lines in 2026
<1%83%16%
2.86
3
Amy Radomski
38W–33L career · 3 lines in 2026
1%89%9%
2.82
3
Tatiana Zohar
125W–136L career · 2 lines in 2026
2%92%6%
2.78
3
Jennifer YP Lee
75W–56L career · 2 lines in 2026
3%92%5%
2.76
Wei Liu
31W–39L career · 3 lines in 2026
0%27%73%
2.58
Jane Wang
6W–4L career · no lines in 2026
not enough data
Junjie Xiong
11W–4L 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.