Teams

NJD/Clan Wolf

Mixed 18 & Over · 8.0 Central Mixed Doubles

19 players · average NTRP 4.00 / NEW JERSEY

View scouting list →
Schedule8 played
2026-01-10vs Hot MixWon 21
W#1 DoublesSherla Glasgow / Chih Chang vs Lan Luo / Jeff Castera6-4, 6-4
L#2 DoublesMukund Pai / JUHEE LEE vs Patryk Hirsz / Olga Carey5-7, 4-6
W#3 DoublesJACOB PEREZ / Mitali Baberwal vs Yannis Androulakis / Michelle Moylan6-1, 6-4
2025-12-20vs Everlasting LobstoppersWon 21
W#1 DoublesSteve Woo / Alida Martorell vs Steven Kong / Naoko Ikeda6-4, 4-6, 1-0
W#2 DoublesDaniel Robaina / JUHEE LEE vs Chris Moran / Linh Fruge5-7, 6-2, 1-0
L#3 DoublesSamir Shah / Ingrid Floyd vs Nischint Manelkar / Izabela Duda3-6, 5-7
2025-12-13vs Mixed Up CLost 12
L#1 DoublesJACOB PEREZ / Mitali Baberwal vs Jesse Cowart / Regan Shafer3-6, 6-3, 0-1
W#2 DoublesHarish Kumar / Sara Cicerone vs Colton van Mol / Anna Osadchy6-3, 7-5
L#3 DoublesMukund Pai / Michelle Kang vs Eric Levitch / Alison North1-6, 6-7
2025-12-06vs Net NinjasWon 21
W#1 DoublesPaul Fang / Teresa Rim vs Sathiesh Ramaiyapillai Selvaraj / Monica Rodriguez1-6, 7-6, 1-0
W#2 DoublesPatrick Liu / Soo Kim vs Arvind Upadhyay / Daniela Nera7-6, 6-2
L#3 DoublesDaniel Robaina / Sherla Glasgow vs Justin Reich / Vanessa Nied6-4, 4-6, 0-1
2025-11-15vs Hot MixWon 21
L#1 DoublesSherla Glasgow / Samir Shah vs Yannis Androulakis / Lan Luo6-7, 6-1, 0-1
W#2 DoublesAlida Martorell / Steve Woo vs Yijun Lu / Rudolf van Mol6-2, 6-2
W#3 DoublesMichelle Kang / Paul Fang vs Michelle Moylan / Yun Shao6-4, 6-3
2025-11-08vs Everlasting LobstoppersWon 30
W#1 DoublesChih Chang / Roslyn Yang vs Athar Khalil / Naoko Ikeda7-6, 7-6
W#2 DoublesPaul Fang / Teresa Rim vs Steven Kong / Risi Oseni6-4, 6-2
W#3 DoublesPatrick Liu / Soo Kim vs Chris Moran / Linh Fruge4-6, 6-4, 1-0
2025-11-01vs BCRC-Parks & RecWon 30
W#1 DoublesHarish Kumar / Teresa Rim vs Lars Bohn / Christina Bohn7-6, 7-5
W#2 DoublesSamir Shah / Sara Cicerone vs Jesse Cowart / Anna Osadchy6-1, 6-4
W#3 DoublesChih Chang / Soo Kim vs Colton van Mol / Regan Shafer6-4, 6-3
2025-10-25vs Net NinjasWon 30
W#1 DoublesPaul Fang / Roslyn Yang vs Sathiesh Ramaiyapillai Selvaraj / Vanessa Nied6-3, 6-1
W#2 DoublesDaniel Robaina / Michelle Kang vs Derek Jin / Andrea Chu6-2, 6-3
W#3 DoublesChih Chang / Ingrid Floyd vs Renyuan Gao / Yunyun Xiong6-1, 6-3
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 standings2 teams · 8.0 Central Mixed Doubles
TeamWLInd. WInd. LSets lostGames lost
1NJD/Clan Wolf0818616204
2Mixed Up C0891534252

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 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.

4.43
Alida Martorell
usually #2 Doubles 50%, also #1 Doubles 50% · published 4.5
4.30
JACOB PEREZ
usually #1 Doubles 50%, also #3 Doubles 50% · published
4.13
Chih Chang
usually #3 Doubles 50%, also #1 Doubles 50% · published 4.5
4.01
Harish Kumar
usually #1 Doubles 50%, also #2 Doubles 50% · published
3.94
Samir Shah
usually #2 Doubles 33%, also #1 Doubles 33% · published
3.83
Michelle Kang
usually #3 Doubles 67%, also #2 Doubles 33% · published
3.83
Roslyn Yang
usually #1 Doubles 100% · published 4
3.82
Daniel Robaina
usually #2 Doubles 67%, also #3 Doubles 33% · published 4
3.71
Teresa Rim
usually #1 Doubles 60%, also #2 Doubles 40% · published 4
3.65
JUHEE LEE
usually #2 Doubles 100% · published
3.60
Mukund Pai
usually #3 Doubles 50%, also #2 Doubles 50% · published 4
3.48
Sherla Glasgow
usually #1 Doubles 67%, also #3 Doubles 33% · published 3.5
3.45
Sara Cicerone
usually #2 Doubles 60%, also #1 Doubles 40% · published
3.40
Paul Fang
usually #1 Doubles 64%, also #2 Doubles 18% · published 4
3.37
Mitali Baberwal
usually #3 Doubles 75%, also #1 Doubles 25% · published
3.35
Steve Woo
usually #2 Doubles 60%, also #1 Doubles 40% · published
3.31
Soo Kim
usually #2 Doubles 40%, also #3 Doubles 40% · published
3.01
Ingrid Floyd
usually #3 Doubles 43%, also #2 Doubles 43% · published 3.5
Patrick Liu
usually #2 Doubles 50%, also #3 Doubles 50% · 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.

Chih Chang + Michelle Kang6069% games+22.8% vs expected
Chih Chang + Soo Kim3258% games+17.6% vs expected
Roslyn Yang + Paul Fang19563% games+13.7% vs expected
Steve Woo + Teresa Rim19562% games+11.9% vs expected
Teresa Rim + Daniel Robaina4156% games+9.9% vs expected
Ingrid Floyd + Chih Chang1447% games+0.3% vs expected
Steve Woo + Alida Martorell11258% games+0.1% vs expected
Mukund Pai + Michelle Kang4645% games−0.6% 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
Alida Martorell
104W–63L career · 2 lines in 2026
<1%68%32%
4.43
JACOB PEREZ
74W–53L career · 2 lines in 2026
2%91%8%
4.30
4.5
Chih Chang
96W–53L career · 4 lines in 2026
17%82%<1%
4.13
Harish Kumar
126W–34L career · 2 lines in 2026
<1%46%54%
4.01
Samir Shah
75W–69L career · 3 lines in 2026
67%33%<1%
3.94
Michelle Kang
179W–118L career · 3 lines in 2026
1%87%12%
3.83
4
Roslyn Yang
123W–28L career · 5 lines in 2026
1%88%11%
3.83
4
Daniel Robaina
78W–94L career · 3 lines in 2026
1%89%10%
3.82
4
Teresa Rim
114W–63L career · 5 lines in 2026
7%91%2%
3.71
JUHEE LEE
151W–107L career · 2 lines in 2026
14%86%1%
3.65
4
Mukund Pai
179W–130L career · 2 lines in 2026
24%75%<1%
3.60
3.5
Sherla Glasgow
240W–165L career · 3 lines in 2026
<1%55%45%
3.48
Sara Cicerone
17W–13L career · 5 lines in 2026
<1%65%35%
3.45
4
Paul Fang
217W–98L career · 11 lines in 2026
77%23%<1%
3.40
Mitali Baberwal
18W–21L career · 4 lines in 2026
<1%82%18%
3.37
Steve Woo
70W–33L career · 5 lines in 2026
1%85%14%
3.35
Soo Kim
119W–71L career · 5 lines in 2026
1%90%9%
3.31
3.5
Ingrid Floyd
201W–228L career · 7 lines in 2026
46%54%<1%
3.01
Patrick Liu
25W–14L 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.