Teams

NJD/Bad Aces

Tri-Level League · Tri-Level 4.0 - NON-Advancing Central

22 players · average NTRP 3.46 / NEW JERSEY

View scouting list →
Schedule11 played
2023-10-29Lost 01
L#2 DoublesIzabela Duda / Eileen Goss vs Kristen Bocina / Eva Danieli4-6, 2-6
2023-10-14vs TGI TennisWon 10
W#2 DoublesOlga Carey / Izabela Duda vs Heather Larson / Wendi Cohen0-6, 6-3, 1-0
2023-02-24vs TGI TennisWon 30
W#1 DoublesLutfiye Ela Eren / Roxanna Choe vs Wendi Cohen / Brigette Elaina Brooks6-1, 6-1
W#2 DoublesMonica Rivera / Jennifer Leighton vs Donna Makowski / Linda Tomasetti1-6, 6-0, 1-0
W#3 DoublesTatiana Zohar / Valeria Kulynych vs N/A6-0, 6-0
2023-02-10vs Real Slam ShadiesLost 12
L#1 DoublesRoxanna Choe / Lutfiye Ela Eren vs Lindsey Amarhanow / Jamie Wasserman6-7, 3-6
W#2 DoublesMeredith Sherman / Joyce Zhao vs Janice Huang / Victoria Reznik6-1, 6-3
L#3 DoublesYoojung Co / Kimberly Lowney vs Christina Bohn / Lee Ann Martin3-6, 4-6
2023-02-03vs CourtsideLost 12
L#1 DoublesRoxanna Choe / Ann de Waele vs Alejandra Quiros / Rosemary Sudol3-6, 2-6
L#2 DoublesJennifer Leighton / Pamela Calaquian vs Marie Collazo / Michelle Tomlinson0-6, 3-6
W#3 DoublesTatiana Zohar / Stacey Medeiros vs Meredith Bzdak / Daniella Sames6-3, 6-4
2023-01-27vs TGI TennisWon 21
W#1 DoublesIzabela Duda / Christine Ferrara vs Cecilia Orchard / Naoko Ikeda6-3, 6-5
W#2 DoublesAllison Bloch / Joyce Zhao vs Ingrid Floyd / Bibi Lipton6-2, 6-0
L#3 DoublesTatiana Zohar / Valeria Kulynych vs Donna Makowski / Linda Tomasetti5-7, 7-6, 1-0
2023-01-20vs Real Slam ShadiesWon 21
W#1 DoublesRoxanna Choe / Christine Ferrara vs Jodi Jaffe / Sue Pangis6-2, 2-6, 1-0
L#2 DoublesPamela Calaquian / Meredith Sherman vs Lindsey Amarhanow / Rupal Kothari6-2, 1-6, 0-1
W#3 DoublesTatiana Zohar / Stacey Medeiros vs Nicole OBrien / Alexis Soron6-3, 7-6
2023-01-13vs CourtsideWon 30
W#1 DoublesChristine Ferrara / Izabela Duda vs Rosemary Sudol / Shelley Berger7-5, 5-2
W#2 DoublesAllison Bloch / Joyce Zhao vs Linda Peters / Sharon Becker6-2, 6-3
W#3 DoublesYoojung Co / Stacey Medeiros vs Leigh Gronau / Daniella Sames6-1, 6-2
2023-01-06vs TGI TennisWon 21
L#1 DoublesLutfiye Ela Eren / Kristina Baldovino vs Wendi Cohen / Lindsay Cuffaro3-6, 1-6
W#2 DoublesJennifer Leighton / JANET van MOL vs Cecilia Orchard / Sherla Glasgow2-6, 6-4, 1-0
W#3 DoublesChloris Li / Kimberly Lowney vs Donna Makowski / Patricia Mullen6-2, 7-6
2022-12-09vs Real Slam ShadiesWon 21
L#1 DoublesAnn de Waele / Izabela Duda vs Heather Shannon / Liz Christian4-6, 4-6
W#2 DoublesPamela Calaquian / Joyce Zhao vs Lindsay Murray / Janice Huang6-4, 2-6, 1-0
W#3 DoublesCarina Dowell / Elme Schmid vs Alexis Soron / Nicole OBrien6-4, 6-0
2022-12-02vs CourtsideLost 12
L#1 DoublesManju Adusumilli / Roxanna Choe vs Shelley Berger / Linda Peters2-6, 6-3, 0-1
L#2 DoublesMeredith Sherman / JANET van MOL vs Marie Collazo / Michelle Tomlinson2-6, 6-3, 0-1
W#3 DoublesYoojung Co / Kimberly Lowney vs Meredith Bzdak / Daniella Sames4-6, 6-0, 1-0
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 standings4 teams · Tri-Level 4.0 - NON-Advancing Central
TeamWLInd. WInd. LSets lostGames lost
1NJD/Bad Aces63171025214
2Real Slam Shadies63161127230
3Courtside54141332232
4TGI Tennis1872042291

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 3.39 estimated across 17 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.

3.81
Joyce Zhao
usually #2 Doubles 100% · published
3.80
Christine Ferrara
usually #1 Doubles 100% · published 4
3.75
Meredith Sherman
usually #2 Doubles 100% · published
3.72
Izabela Duda
usually #1 Doubles 60%, also #2 Doubles 40% · published 4
3.71
Roxanna Choe
usually #1 Doubles 100% · published
3.69
Kristina Baldovino
usually #1 Doubles 100% · published
3.50
Allison Bloch
usually #2 Doubles 100% · published 3.5
3.44
Ann de Waele
usually #1 Doubles 100% · published 3.5
3.43
Yoojung Co
usually #3 Doubles 100% · published 3.5
3.31
Pamela Calaquian
usually #2 Doubles 100% · published
3.28
Kimberly Lowney
usually #3 Doubles 100% · published
Elme Schmid
usually #3 Doubles 100% · published 3.5
3.22
Chloris Li
usually #3 Doubles 100% · published 3.5
3.19
Stacey Medeiros
usually #3 Doubles 100% · published 3.5
3.16
Monica Rivera
usually #2 Doubles 100% · published
3.10
JANET van MOL
usually #2 Doubles 100% · published 3.5
2.77
Tatiana Zohar
usually #3 Doubles 100% · published 3
Carina Dowell
usually #3 Doubles 100% · published 3
2.67
Valeria Kulynych
usually #3 Doubles 100% · published 3
Jennifer Leighton
published
Lutfiye Ela Eren
usually #1 Doubles 100% · published
Manju Adusumilli
usually #1 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.

Stacey Medeiros + Yoojung Co4257% games+19.9% vs expected
Pamela Calaquian + Tatiana Zohar3260% games+16.4% vs expected
Yoojung Co + Chloris Li4165% games+14.6% vs expected
Yoojung Co + Kimberly Lowney8561% games+10.4% vs expected
Pamela Calaquian + Izabela Duda16759% games+8.9% vs expected
Stacey Medeiros + Tatiana Zohar2351% games+8.2% vs expected
Roxanna Choe + Manju Adusumilli8656% games+6.2% vs expected
Roxanna Choe + Christine Ferrara11558% games+5.1% 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.

Joyce Zhao
51W–23L career · 4 lines in 2023
1%92%7%
3.81
4
Christine Ferrara
91W–61L career · 3 lines in 2023
1%93%6%
3.80
Meredith Sherman
76W–64L career · 3 lines in 2023
3%95%3%
3.75
4
Izabela Duda
138W–74L career · 5 lines in 2023
4%94%2%
3.72
Roxanna Choe
125W–88L career · 5 lines in 2023
5%93%1%
3.71
Kristina Baldovino
50W–52L career · 1 line in 2023
7%92%1%
3.69
3.5
Allison Bloch
291W–156L career · 2 lines in 2023
<1%49%51%
3.50
3.5
Ann de Waele
109W–102L career · 2 lines in 2023
<1%69%31%
3.44
3.5
Yoojung Co
174W–108L career · 3 lines in 2023
<1%70%30%
3.43
Pamela Calaquian
151W–111L career · 3 lines in 2023
1%92%7%
3.31
Kimberly Lowney
94W–31L career · 3 lines in 2023
2%94%5%
3.28
3.5
Elme Schmid
78W–67L career · 1 line in 2023
not enough data
3.5
Chloris Li
115W–69L career · 1 line in 2023
4%94%2%
3.22
3.5
Stacey Medeiros
134W–104L career · 3 lines in 2023
7%92%1%
3.19
Monica Rivera
103W–75L career · 1 line in 2023
11%89%<1%
3.16
3.5
JANET van MOL
532W–360L career · 2 lines in 2023
21%79%<1%
3.10
3
Tatiana Zohar
125W–139L career · 4 lines in 2023
2%94%4%
2.77
3
Carina Dowell
25W–5L career · 1 line in 2023
not enough data
3
Valeria Kulynych
145W–168L career · 2 lines in 2023
10%89%<1%
2.67
Jennifer Leighton
104W–133L career · no lines in 2023
not enough data
Lutfiye Ela Eren
53W–42L career · 3 lines in 2023
not enough data
Manju Adusumilli
110W–89L career · 1 line in 2023
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.