Teams

Lost-Soles

Mixed 40 & Over · 8.0 Central Mixed Doubles

21 players · average NTRP 3.90 / NEW JERSEY

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Schedule12 played
2026-04-19vs M-TigersWon 20
W#1 DoublesLinh Fruge / Chris Moran vs Nui Chan / Mary Chion7-6, 6-4
W#2 DoublesRosemary Sudol / Steven Kong vs Yun Shao / Joyce Zhao6-3, 6-4
2026-04-18vs Net NinjasLost 12
L#1 DoublesNaoko Ikeda / Kevin Irani vs Mukund Pai / JUHEE LEE2-6, 4-6
L#2 DoublesJegan Podhanur / Risi Oseni vs Harish Kumar / Kathy Tsang2-6, 4-6
W#3 DoublesDennis Fernandes / Rosemary Sudol vs Steve Woo / Melinda Lee6-1, 6-1
2026-04-04vs Hot MixLost 12
L#1 DoublesChris Moran / Linh Fruge vs Molly Mahn / Mansour Rismanchi1-6, 4-6
W#2 DoublesIzabela Duda / Steven Kong vs Tony Ferrante / Michelle Moylan6-0, 4-6, 1-0
L#3 DoublesDorothy Logan / Samir Shah vs Chanaka Amarasinghe / Lan Luo3-6, 2-6
2026-03-29vs Mixed UpLost 12
L#1 DoublesPamela Calaquian / Ron Mendoza vs Christina Bohn / Lars Bohn0-1
L#2 DoublesYuning Ren / Kevin Irani vs Brigette Elaina Brooks / Kaptan Karsolia2-6, 1-6
W#3 DoublesAllison Bloch / Chris Moran vs Elizabeth Rogers / Dan Khoo6-4, 4-6, 1-0
2026-03-21vs NJD/DjokersLost 03
L#1 DoublesYuning Ren / Steven Kong vs Mauricio Delgado / Christine Downs7-6, 4-6, 1-0
L#2 DoublesJegan Podhanur / Risi Oseni vs Michael Larkin / Mandi Vilares6-2, 4-6, 0-1
L#3 DoublesSamir Shah / Pamela Calaquian vs Ryan Finnie / Andrea Bowers6-4, 3-6, 0-1
2026-03-07vs Net NinjasSplit 11
L#1 DoublesNischint Manelkar / Izabela Duda vs Monica Rodriguez / Carlos Vasquez Sr6-0, 2-6, 0-1
W#2 DoublesSteven Kong / Rosemary Sudol vs David Bochner / Karen Shih6-4, 2-6, 1-0
2026-02-28vs M-TigersWon 21
W#1 DoublesLinh Fruge / Chris Moran vs Lixiong Gu / Wu Yang7-5, 6-3
W#2 DoublesDanielle Nappi / Ron Mendoza vs Joyce Zhao / ENQIANG ZHANG6-4, 6-4
L#3 DoublesJegan Podhanur / Izabela Duda vs Andrea Chu / Chih Chang0-6, 6-0, 0-1
2026-02-22vs Mixed UpLost 12
L#1 DoublesIzabela Duda / Dan McGrath vs Alison North / Kaptan Karsolia0-6, 1-6
W#2 DoublesPamela Calaquian / Ron Mendoza vs Sue Pangis / Jon Rubinstein6-4, 6-4
L#3 DoublesKristina Baldovino / Aaron Palmer vs Elizabeth Rogers / AUSTIN KIM6-7, 5-6
2026-02-07vs NJD/DjokersWon 21
W#1 DoublesDan McGrath / Izabela Duda vs Shana Shah / Andrew Bowers7-5, 4-6, 1-0
W#2 DoublesSteven Kong / Naoko Ikeda vs Andrea Bowers / RASESH SHAH6-2, 6-2
L#3 DoublesKevin Irani / Rosemary Sudol vs Kenn Waibel / Courtney Darling5-7, 2-6
2026-01-31vs Hot MixWon 30
W#1 DoublesRon Mendoza / Danielle Nappi vs Patryk Hirsz / Olga Carey6-1, 4-6, 1-0
W#2 DoublesDennis Fernandes / Yuning Ren vs Chanaka Amarasinghe / Lan Luo1-6, 6-2, 1-0
W#3 DoublesAllison Bloch / Samir Shah vs Risa Kaban / Tony Ferrante6-2, 7-5
W#2 DoublesAaron Palmer / Chishu Chang vs Frank Meeuwissen / Mary Nguyen7-5, 6-1
2025-12-14vs DuPontWon 10
W#3 DoublesAaron Palmer / Jiangying Liao vs Minako Kobayashi / Thomas Jeanson6-2, 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 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 3.69 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.

4.22
Chris Moran
usually #1 Doubles 75%, also #3 Doubles 25% · published 4.5
4.00
Rosemary Sudol
usually #3 Doubles 50%, also #2 Doubles 50% · published 4
3.94
Samir Shah
usually #3 Doubles 100% · published
3.91
Steven Kong
usually #2 Doubles 80%, also #1 Doubles 20% · published
3.83
Jegan Podhanur
usually #2 Doubles 67%, also #3 Doubles 33% · published
3.82
Dennis Fernandes
usually #2 Doubles 50%, also #3 Doubles 50% · published 4
3.80
Naoko Ikeda
usually #2 Doubles 50%, also #1 Doubles 50% · published 4
3.78
Nischint Manelkar
usually #1 Doubles 100% · published
3.77
Dan McGrath
usually #1 Doubles 100% · published 4
3.72
Kevin Irani
usually #1 Doubles 33%, also #3 Doubles 33% · published
3.71
Aaron Palmer
usually #1 Doubles 60%, also #3 Doubles 20% · published 4
3.68
Kristina Baldovino
usually #3 Doubles 100% · published
3.67
Yuning Ren
usually #2 Doubles 67%, also #1 Doubles 33% · published 4
3.48
Allison Bloch
usually #3 Doubles 80%, also #2 Doubles 20% · published 3.5
3.30
Pamela Calaquian
usually #2 Doubles 33%, also #3 Doubles 33% · published
3.29
Danielle Nappi
usually #1 Doubles 50%, also #2 Doubles 50% · published 3.5
3.23
Dorothy Logan
usually #3 Doubles 100% · published
3.17
Linh Fruge
usually #1 Doubles 100% · published 3.5
Izabela Duda
usually #1 Doubles 60%, also #2 Doubles 20% · published
Risi Oseni
usually #2 Doubles 100% · published
Ron Mendoza
usually #2 Doubles 50%, also #1 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.

Ron Mendoza + Izabela Duda13364% games+17.7% vs expected
Ron Mendoza + Danielle Nappi22657% games+17.3% vs expected
Linh Fruge + Chris Moran291354% games−3.2% vs expected
Dan McGrath + Izabela Duda11256% gamesnot enough data
Ron Mendoza + Pamela Calaquian4355% gamesnot enough data
Ron Mendoza + Allison Bloch224 matchesnot enough data
Ron Mendoza + Dorothy Logan404 matchesnot enough data
Yuning Ren + Nischint Manelkar404 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.

4.5
Chris Moran
71W–37L career · 4 lines in 2026
6%92%2%
4.22
4
Rosemary Sudol
57W–31L career · 4 lines in 2026
<1%49%51%
4.00
Samir Shah
75W–69L career · 3 lines in 2026
67%33%<1%
3.94
Steven Kong
36W–11L career · 5 lines in 2026
<1%75%25%
3.91
Jegan Podhanur
103W–38L career · 3 lines in 2026
1%87%12%
3.83
4
Dennis Fernandes
27W–28L career · 2 lines in 2026
1%89%10%
3.82
4
Naoko Ikeda
100W–48L career · 2 lines in 2026
1%90%8%
3.80
Nischint Manelkar
130W–76L career · 2 lines in 2026
2%92%6%
3.78
4
Dan McGrath
77W–34L career · 2 lines in 2026
3%92%5%
3.77
Kevin Irani
89W–41L career · 3 lines in 2026
6%92%2%
3.72
4
Aaron Palmer
105W–68L career · 10 lines in 2026
6%92%2%
3.71
Kristina Baldovino
40W–47L career · 1 line in 2026
10%89%1%
3.68
4
Yuning Ren
122W–82L career · 3 lines in 2026
11%88%1%
3.67
3.5
Allison Bloch
281W–149L career · 5 lines in 2026
<1%54%46%
3.48
Pamela Calaquian
151W–111L career · 3 lines in 2026
2%91%8%
3.30
3.5
Danielle Nappi
47W–23L career · 2 lines in 2026
2%92%6%
3.29
Dorothy Logan
87W–74L career · 1 line in 2026
5%92%3%
3.23
3.5
Linh Fruge
124W–87L career · 3 lines in 2026
12%88%1%
3.17
Izabela Duda
115W–65L career · 5 lines in 2026
not enough data
Risi Oseni
28W–36L career · 2 lines in 2026
not enough data
Ron Mendoza
68W–21L career · 4 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.