Teams

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Tri-Level League · Tri-Level 4.5, 4.0, 3.5 Women Central

20 players · average NTRP 3.79 / NEW JERSEY

No matches recorded for this roster in this league — it may be a placeholder registration, or the season may not have started.

View scouting list →

Flight standings for Tri-Level 4.5, 4.0, 3.5 Women Central have not been collected yet. Where we have them we show every team in the flight ranked, with this team highlighted. The crawler is still filling in older seasons and flights.

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 3.77 estimated across 20 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
published 4.5
4.40
Danielle Mandel
published 4.5
4.05
Marilyn Liu
published
3.89
Liane van Etten
published
3.88
Jamie Wasserman
published
3.86
Maritza Dominguez
published
3.85
Vanessa Nied
published 4
3.85
Jennifer Lai
published
3.83
Michelle Kang
published
3.80
Naoko Ikeda
published 4
3.77
Alison North
published 3.5
3.71
Teresa Rim
published 4
3.65
JUHEE LEE
published
3.56
Daniela Nera
published 3.5
3.52
Liyun Feng
published 3.5
3.51
Addie Malicsi
published 3.5
3.48
Allison Bloch
published 3.5
3.47
Kathy Tsang
published 3.5
3.45
Sara Cicerone
published
3.36
Kathy Shin
published 3.5
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.

Kathy Shin + Addie Malicsi5157% games+7.8% vs expected
Liyun Feng + Kathy Tsang5264% games+7.4% vs expected
Michelle Kang + JUHEE LEE663755% games+4.3% vs expected
Teresa Rim + JUHEE LEE201253% games+3.1% vs expected
Vanessa Nied + Allison Bloch18163% games+0.2% vs expected
Teresa Rim + Michelle Kang51248% games−1.4% vs expected
Allison Bloch + Liyun Feng4157% gamesnot enough data
Allison Bloch + Alison North314 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
Alida Martorell
104W–63L career · no lines in 2026
<1%68%32%
4.43
4.5
Danielle Mandel
7W–3L career · type S · no lines in 2026
<1%75%25%
4.40
Marilyn Liu
50W–46L career · no lines in 2026
36%64%<1%
4.05
Liane van Etten
95W–49L career · no lines in 2026
78%22%<1%
3.89
Jamie Wasserman
149W–97L career · no lines in 2026
<1%79%20%
3.88
Maritza Dominguez
101W–55L career · no lines in 2026
84%16%<1%
3.86
4
Vanessa Nied
141W–49L career · no lines in 2026
1%85%14%
3.85
Jennifer Lai
84W–54L career · no lines in 2026
1%85%14%
3.85
Michelle Kang
179W–118L career · no lines in 2026
1%87%12%
3.83
4
Naoko Ikeda
100W–48L career · no lines in 2026
1%90%8%
3.80
3.5
Alison North
184W–37L career · no lines in 2026
<1%3%97%
3.77
4
Teresa Rim
114W–63L career · no lines in 2026
7%91%2%
3.71
JUHEE LEE
151W–107L career · no lines in 2026
14%86%1%
3.65
3.5
Daniela Nera
42W–27L career · no lines in 2026
<1%34%66%
3.56
3.5
Liyun Feng
123W–49L career · no lines in 2026
<1%44%56%
3.52
3.5
Addie Malicsi
25W–15L career · no lines in 2026
<1%48%52%
3.51
3.5
Allison Bloch
281W–149L career · no lines in 2026
<1%54%46%
3.48
3.5
Kathy Tsang
122W–81L career · no lines in 2026
<1%58%42%
3.47
Sara Cicerone
17W–13L career · no lines in 2026
<1%65%35%
3.45
3.5
Kathy Shin
38W–52L career · no lines in 2026
1%84%16%
3.36

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.