Teams

Supreme Court

Adult 40 & Over Spring · 3.0 Women Central Day

20 players · average NTRP 2.86 / NEW JERSEY

View scouting list →
Schedule9 played
2026-06-19vs 40 LoveSplit 22
W#1 DoublesJill Schulz / Mara Wilmot vs Karolina Li / Jennifer YP Lee6-3, 6-2
L#1 SinglesMelva Adamson vs Kathleen Mandzij4-6, 1-6
W#2 DoublesAna Shah / Judy Singleton vs Francesca Corrias / Jane Wang6-2, 4-6, 1-0
L#3 DoublesGayle Roger / Catherine Taaffe vs Melissa Davis / Concetta Rollins3-6, 1-6
2026-06-12vs Nassau Smart Ace GirlsLost 13
L#1 DoublesAna Shah / Judy Singleton vs Mary Camp / Jennifer Sparks6-2, 2-6, 0-1
W#1 SinglesMelva Adamson vs Anne Finetto6-3, 3-5, 1-0
L#2 DoublesGayle Roger / Barbara Wilson vs Susan Evans / Marcia Cohen4-6, 0-6
L#3 DoublesCheryl Kurer / Suzanne Proulx vs Rebecca Marshall / Joan Sullivan3-6, 0-3
2026-06-05vs SPRING CTRL/Nassau Net HawksSplit 22
L#1 DoublesJill Schulz / Judy Singleton vs Meghan Berube / Bilynda Molish2-6, 2-6
W#1 SinglesMelva Adamson vs Wei Liu6-4, 6-2
W#2 DoublesCatherine Taaffe / Gayle Roger vs Heather DeBruin / Valerie Lisowski2-6, 6-2, 1-0
L#3 DoublesSusan Gilli / Marlene Mannion vs Erica Rubine / Elizabeth Yezza3-6, 1-6
2026-05-29vs 40 LoveLost 13
L#1 DoublesRong Nie / Linda Haderer vs Jane Wang / Becca Meurer6-7, 4-6
L#1 SinglesAysegul Topcu vs Kathleen Borthwick6-7, 3-6
W#2 DoublesJoy Scharfstein / Barbara Wilson vs Francesca Corrias / Melissa Davis6-3, 4-6, 1-0
L#3 DoublesCheryl Kurer / Shara Hofing vs Kristina Fayle / Kristin Dawson4-6, 7-6, 1-0
2026-05-22vs Nassau Smart Ace GirlsLost 13
W#1 DoublesJoy Scharfstein / Jill Schulz vs Marcia Cohen / Catherine Suydam6-1, 6-3
L#1 SinglesMelva Adamson vs Joy Cooper3-6, 3-6
L#2 DoublesMarlene Mannion / Suzanne Proulx vs Valeria Kulynych / Tatiana Zohar6-7, 0-6
L#3 DoublesRong Nie / Silvia Debenedetti vs Mary Camp / Jennifer Sparks0-6, 1-6
2026-05-15vs SPRING CTRL/Nassau Net HawksLost 12
L#1 DoublesMara Wilmot / Linda Haderer vs Meghan Berube / Lana Sambol2-6, 4-6
L#1 SinglesSanjana Poddar vs Kelly Burkett1-6, 2-6
W#2 DoublesShara Hofing / Barbara Wilson vs Helen Davis / Wei Liu6-4, 6-4
2026-05-08vs 40 LoveSplit 22
L#1 DoublesJudy Singleton / Ana Shah vs Jane Wang / Jennifer YP Lee7-5, 3-6, 1-0
L#1 SinglesMelva Adamson vs Karolina Li6-7, 2-6
W#2 DoublesJoy Scharfstein / Jill Schulz vs Francesca Corrias / Becca Meurer6-1, 7-6
W#3 DoublesSusan Gilli / Marlene Mannion vs Kristen Young / Melissa Davis6-3, 5-7, 1-0
2026-05-01vs Nassau Smart Ace GirlsSplit 22
L#1 DoublesRong Nie / Mara Wilmot vs Marcia Cohen / Catherine Suydam6-2, 4-6, 0-1
W#1 SinglesMelva Adamson vs Joy Cooper6-2, 7-6
L#2 DoublesBarbara Wilson / Shara Hofing vs Mary Camp / Jennifer Sparks5-7, 3-6
W#3 DoublesSilvia Debenedetti / Suzanne Proulx vs Susan Evans / Rebecca Marshall0-6, 6-2, 1-0
2026-04-24vs SPRING CTRL/Nassau Net HawksSplit 22
L#1 DoublesMara Wilmot / Ana Shah vs Mia Cote / Jess Vamvas5-7, 4-6
L#1 SinglesAysegul Topcu vs Meghan Berube5-7, 3-6
W#2 DoublesLinda Haderer / Marlene Mannion vs Kelly Burkett / Valerie Lisowski6-4, 7-6
W#3 DoublesCatherine Taaffe / Joy Scharfstein vs Wei Liu / Nancy Schiavone-Schulman7-6, 7-5
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 · 3.0 Women Central Day
TeamWLInd. WInd. LSets lostGames lost
1SPRING CTRL/Nassau Net Hawks09201637315
2Supreme Court09142250374

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 2.61 estimated across 19 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.

2.95
Ana Shah
usually #1 Doubles 75%, also #2 Doubles 25% · published 3
2.95
Rong Nie
usually #3 Doubles 43%, also #2 Doubles 29% · published
2.87
Judy Singleton
usually #1 Doubles 75%, also #2 Doubles 25% · published
2.82
Jill Schulz
usually #1 Doubles 75%, also #2 Doubles 25% · published
2.81
Melva Adamson
usually #1 Singles 100% · published 3
2.80
Marlene Mannion
usually #2 Doubles 50%, also #3 Doubles 50% · published 3
2.80
Linda Haderer
usually #1 Doubles 67%, also #2 Doubles 33% · published 3
2.78
Mara Wilmot
usually #1 Doubles 100% · published 3
Barbara Wilson
published 3
2.73
Gayle Roger
usually #2 Doubles 67%, also #3 Doubles 33% · published
2.64
Sanjana Poddar
usually #1 Singles 100% · published
2.60
Shara Hofing
usually #2 Doubles 67%, also #3 Doubles 33% · published
2.51
Catherine Taaffe
usually #3 Doubles 67%, also #2 Doubles 33% · published 3
2.50
Joy Scharfstein
usually #2 Doubles 50%, also #3 Doubles 25% · published
2.41
Aysegul Topcu
usually #1 Singles 100% · published 2.5
2.37
Silvia Debenedetti
usually #3 Doubles 100% · published
2.31
Suzanne Proulx
usually #3 Doubles 67%, also #2 Doubles 33% · published
2.25
Cheryl Kurer
usually #3 Doubles 100% · published 2.5
2.04
Susan Gilli
usually #3 Doubles 100% · published 2.5
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.

Catherine Taaffe + Ana Shah6456% games+8.3% vs expected
Shara Hofing + Judy Singleton4152% games+6.3% vs expected
Ana Shah + Judy Singleton5355% games+3.6% vs expected
Catherine Taaffe + Marlene Mannion31345% games+2.4% vs expected
Linda Haderer + Mara Wilmot132946% games+1.3% vs expected
Susan Gilli + Marlene Mannion16854% games+1.3% vs expected
Shara Hofing + Joy Scharfstein2341% games−1.7% vs expected
Suzanne Proulx + Marlene Mannion4351% games−3.2% 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.

3
Ana Shah
45W–40L career · 4 lines in 2026
<1%64%36%
2.95
Rong Nie
124W–216L career · 7 lines in 2026
<1%65%35%
2.95
Judy Singleton
47W–45L career · 4 lines in 2026
<1%83%17%
2.87
Jill Schulz
89W–57L career · 4 lines in 2026
1%89%10%
2.82
3
Melva Adamson
78W–144L career · 6 lines in 2026
1%90%8%
2.81
3
Marlene Mannion
90W–80L career · 4 lines in 2026
1%90%8%
2.80
3
Linda Haderer
116W–150L career · 3 lines in 2026
2%91%8%
2.80
3
Mara Wilmot
88W–136L career · 4 lines in 2026
2%92%6%
2.78
3
Barbara Wilson
53W–86L career · no lines in 2026
not enough data
Gayle Roger
3W–4L career · 3 lines in 2026
5%92%3%
2.73
Sanjana Poddar
18W–58L career · 1 line in 2026
16%83%<1%
2.64
Shara Hofing
49W–104L career · 3 lines in 2026
24%76%<1%
2.60
3
Catherine Taaffe
106W–166L career · type A · 3 lines in 2026
48%52%<1%
2.51
Joy Scharfstein
12W–26L career · 4 lines in 2026
49%51%<1%
2.50
2.5
Aysegul Topcu
6W–4L career · type S · 2 lines in 2026
0%74%26%
2.41
3
Victoria Salvador Kupper
29W–45L career · type A · no lines in 2026
79%21%<1%
2.39
Silvia Debenedetti
16W–39L career · 2 lines in 2026
82%18%<1%
2.37
Suzanne Proulx
22W–36L career · 3 lines in 2026
92%8%<1%
2.31
2.5
Cheryl Kurer
4W–29L career · 2 lines in 2026
0%97%3%
2.25
2.5
Susan Gilli
55W–80L career · 2 lines in 2026
0%>99%<1%
2.04

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.