Teams

D - 4S:Cougars:Williams

2022 SCT Adult 40 & Over Women · 4.0 W - 2

16 players · average NTRP 3.94 / SOUTHERN CONNECTICUT

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 →
Schedule9 played
2022-03-06vs TRC:No Love Loss:BroderickLost 13
L#1 DoublesMargret Greene / Marti Correa vs Sue Broderick / Mary Zubrinsky3-6, 2-6
L#1 SinglesMarta Piksinska vs Melissa Dancy3-6, 1-6
W#2 DoublesElizabeth Griffin / Kendal Gaillard vs Kerstin Lebel / Claudia Lacasia6-1, 6-7, 1-0
L#3 DoublesCally Adl / Christiane Goldman vs Deirdre Andreoli / Hetal Kocinsky3-6, 4-6
2022-02-20vs MRC:40+ 4.0:CushnieWon 21
W#1 DoublesMeagan Schmidt / Marti Correa vs Karen Cushnie / Ellen O'Donnell6-3, 4-6, 1-0
W#1 SinglesMarta Piksinska vs Heather Strasburger6-2, 6-3
L#2 DoublesDiane Wilson / Amy Margulies vs JoAnn Lopez / Liz Cummings2-6, 6-7
2022-01-30vs MIT:40 BBs:DeAngelisLost 04
L#1 DoublesKendal Gaillard / Gretchen Kilmartin vs Bobbi Deangelis / Susan Haven4-6, 4-6
L#1 SinglesMarta Piksinska vs Melissa Hanna3-6, 5-5
L#2 DoublesCheryl Levine / Wendy English vs Kristin Sabatini / Michele Palanzo1-6, 3-6
L#3 DoublesCally Adl / Diane Wilson vs Kira Lent / Maggie Nava2-6, 4-6
2022-01-23vs TRC:No Love Loss:BroderickLost 12
L#1 DoublesKendal Gaillard / Gretchen Kilmartin vs Sue Broderick / Mary Zubrinsky4-6, 6-4, 0-1
L#2 DoublesWendy English / Cheryl Levine vs Jane Kim / Suzanne Crowe0-6, 1-6
W#3 DoublesAmy Margulies / Margret Greene vs Deirdre Andreoli / Misao Naito6-1, 6-1
2022-01-09vs MRC:40+ 4.0:CushnieLost 04
L#1 DoublesKendal Gaillard / Cheryl Levine vs Patricia Dengler / Ann Kuegler2-6, 4-6
L#1 SinglesMarti Correa vs Lillan Hope0-6, 1-6
L#2 DoublesKerry Williams / Elizabeth Griffin vs JoAnn Lopez / Marie Vongsouvanh5-7, 3-6
L#3 DoublesAmy Margulies / Cally Adl vs Beckie Ferris / Barbara Kiselak6-4, 4-6, 0-1
2021-12-12vs MIT:Nice Aces:Perkins/FergusonLost 03
L#1 DoublesDana Stewart / Cheryl Levine vs Barbara Fries / Christina Marini3-6, 4-6
L#1 SinglesMarta Piksinska vs Courtney Sansonetti1-6, 1-6
L#2 DoublesGretchen Kilmartin / Elizabeth Griffin vs Virginia Greatsinger / Erzsebet Pusztai1-6, 3-6
2021-11-21vs MIT:40 BBs:DeAngelisWon 31
W#1 DoublesElizabeth Griffin / Gretchen Kilmartin vs Michele Palanzo / Kristin Sabatini6-4, 6-6
W#1 SinglesMarti Correa vs Jacquelyn Hutchison7-5, 3-4
L#2 DoublesMargret Greene / Farrah Minnich vs Bobbi Deangelis / Susan Fidaleo5-7, 0-6
W#3 DoublesDana Stewart / Meagan Schmidt vs Susan Haven / Joyce Somers7-5, 4-6, 1-0
2021-11-07vs MRC:40+ 4.0:CushnieLost 13
L#1 DoublesElizabeth Griffin / Kendal Gaillard vs Karen Cushnie / Ellen O'Donnell6-4, 1-6, 0-1
W#1 SinglesMarta Piksinska vs Karen Davis5-7, 6-1
L#2 DoublesDana Stewart / Farrah Minnich vs JoAnn Lopez / Julie Mooney3-6, 1-6
L#3 DoublesCheryl Levine / Carol-Anne Valentine vs Barbara Kiselak / Miyako Kinoshita3-6, 6-4, 1-0
2021-10-03vs MIT:40 BBs:DeAngelisLost 04
L#1 DoublesElizabeth Griffin / Dana Stewart vs Kristin Sabatini / Michele Palanzo6-7, 1-6
L#1 SinglesChristiane Goldman vs Jacquelyn Hutchison1-6, 1-6
L#2 DoublesMargret Greene / Cheryl Levine vs Sarah Donahue / Linda Dest1-6, 3-6
L#3 DoublesDiane Wilson / Marta Piksinska vs Joyce Somers / Carol Lange1-6, 3-6
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 standings10 teams · 4.0 W - 2
TeamWLInd. WInd. LSets lostGames lost
1D - 4S:Cougars:Williams000000
2MIT:40 BBs:DeAngelis09211538312
3TRC:No Love Loss:Broderick09201639327
4MIT:Nice Aces:Perkins/Ferguson09181843338
5MRC:40+ 4.0:Cushnie09132352357
6KH:New Ad-Itudes:Brown010231737334
7CP:Net Gains 40+:das Neves/Sweet010231739338
8WTC:Game, Set, Match!:Myers/Chalupka010261442328
9WTC:Hit and Run:Tanner010182249362
10GCC:40+ Love:Lockwood/Castine010112965429

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 3.57 estimated across 10 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.

4.06
Kendal Gaillard
usually #1 Doubles 80%, also #2 Doubles 20% · published
3.87
Amy Margulies
usually #2 Doubles 60%, also #3 Doubles 40% · published 4
Cheryl Levine
usually #2 Doubles 50%, also #1 Doubles 33% · published 4
Dana Stewart
usually #1 Doubles 50%, also #2 Doubles 25% · published 4
Gretchen Kilmartin
usually #1 Doubles 75%, also #2 Doubles 25% · published 4
3.74
Meagan Schmidt
usually #1 Doubles 50%, also #3 Doubles 50% · published
3.67
Carolyn Noto
published 4
3.64
Cally Adl
usually #3 Doubles 100% · published 4
3.60
Meghan Keane
published
3.42
Elizabeth Griffin
usually #1 Doubles 50%, also #2 Doubles 50% · published 4
3.37
Wendy English
usually #2 Doubles 100% · published
3.25
Marta Piksinska
usually #1 Singles 93%, also #3 Doubles 7% · published
3.05
Christiane Goldman
usually #3 Doubles 50%, also #1 Singles 50% · published 3.5
Carol-Anne Valentine
usually #3 Doubles 100% · published
Margret Greene
usually #2 Doubles 50%, also #1 Doubles 25% · published
Marti Correa
usually #1 Doubles 50%, also #1 Singles 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.

Elizabeth Griffin + Kendal Gaillard5158% games+6.2% vs expected
Gretchen Kilmartin + Kendal Gaillard3255% games+5.1% vs expected
Elizabeth Griffin + Gretchen Kilmartin9158% games+2.4% vs expected
Meagan Schmidt + Dana Stewart3252% games−1.3% vs expected
Meghan Keane + Amy Margulies4454% games−2.2% vs expected
Cally Adl + Meghan Keane2442% gamesnot enough data
Dana Stewart + Margret Greene2342% gamesnot enough data
Elizabeth Griffin + Meagan Schmidt314 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.

Kendal Gaillard
95W–41L career · 5 lines in 2022
<1%33%67%
4.06
4
Amy Margulies
77W–59L career · 5 lines in 2022
<1%84%16%
3.87
4
Cheryl Levine
10W–24L career · 6 lines in 2022
not enough data
4
Dana Stewart
13W–35L career · 4 lines in 2022
not enough data
4
Gretchen Kilmartin
21W–4L career · 4 lines in 2022
not enough data
Meagan Schmidt
29W–34L career · 2 lines in 2022
3%94%2%
3.74
4
Carolyn Noto
8W–7L career · no lines in 2022
10%89%<1%
3.67
4
Cally Adl
39W–56L career · 3 lines in 2022
14%86%<1%
3.64
Meghan Keane
54W–27L career · no lines in 2022
23%77%<1%
3.60
4
Elizabeth Griffin
60W–57L career · 6 lines in 2022
73%27%<1%
3.42
Wendy English
41W–31L career · 2 lines in 2022
<1%84%16%
3.37
Marta Piksinska
127W–127L career · 15 lines in 2022
3%95%3%
3.25
3.5
Christiane Goldman
37W–30L career · 2 lines in 2022
34%66%<1%
3.05
Carol-Anne Valentine
5W–12L career · 1 line in 2022
not enough data
Margret Greene
11W–16L career · 4 lines in 2022
not enough data
Marti Correa
8W–30L career · 4 lines in 2022
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.