Teams

FIT:Mixed 7.0:Palumbo/Roper

2022 SCT Mixed 40 & Over · 7.0 Mixed - 2

22 players · average NTRP 3.56 / 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
2022-06-18vs MRC:All Mixed Up:IslamLost 12
W#1 DoublesAndrea Nadel / Zorba Lieberman vs Nancy Hawley / Andrew Leggio6-2, 7-5
L#2 DoublesEvan Nadel / Stephanie Mercado vs Susan Ratcliffe / Bruce Ratcliffe5-7, 4-6
L#3 DoublesAnnie Haskel / Kenneth Palumbo vs Arnaud Tolleter / Lisa Moore6-7, 5-7
2022-06-12vs TRC:Fields of Dreams:FieldsWon 21
W#1 DoublesLorraine Palumbo / Kenneth Palumbo vs Christine Kay / David Dankenbrink7-5, 6-3
W#2 DoublesShannon Roper / Andrew Genser vs Debbie Kemp-Weiss / Mike Robidoux6-2, 7-5
L#3 DoublesDeborah Lloyd / Kendall Spaght vs Courtney Bahr / Mark Bahr3-6, 7-5, 0-1
2022-06-04vs MRC:Match Makers:Capanna/KinoshitaLost 02
L#1 DoublesMark Danchak / Deborah Lloyd vs David Miles / Susan Lindberg2-6, 1-6
L#3 DoublesKendall Spaght / Chihwa Tang vs John Rose / Elizabeth Rose3-6, 6-4, 1-0
2022-05-21vs TRC:Fields of Dreams:FieldsLost 12
L#1 DoublesTheodore Huber / Selina Huber vs Courtney Bahr / Mark Bahr6-3, 3-6, 0-1
L#2 DoublesMark Danchak / Anna Danchak vs Christine Kay / David Dankenbrink4-6, 6-7
W#3 DoublesChihwa Tang / Kendall Spaght vs Patricia Church / Joseph Birarelli6-4, 6-2
W#1 DoublesZorba Lieberman / Julia Genser vs Steven Sax / Janine Capanna6-4, 6-4
W#2 DoublesAndrew Genser / Shannon Roper vs Andy Vongsouvanh / Jacqueline Cassidy6-4, 6-2
W#3 DoublesLorraine Palumbo / Kenneth Palumbo vs Quinn Fusco / Steve Rosa6-2, 6-2
2022-04-23vs MRC:All Mixed Up:IslamLost 02
L#1 DoublesLorraine Palumbo / Kenneth Palumbo vs Sohel Islam / Lisa Moore0-6, 4-6
L#3 DoublesJulia Genser / Andrew Genser vs Kim Bandak / Arnaud Tolleter1-6, 3-6
2022-04-09vs TRC:Fields of Dreams:FieldsSplit 11
W#1 DoublesAndrea Nadel / Evan Nadel vs Steven Weiner / Lorraine Oldale6-3, 6-3
L#3 DoublesMark Danchak / Deborah Lloyd vs Hetal Kocinsky / Joseph Birarelli6-7, 2-6
2022-04-02vs MRC:Match Makers:Capanna/KinoshitaLost 12
L#1 DoublesJames Haskel / Stephanie Mercado vs Miyako Kinoshita / Brian McCauley3-6, 6-3, 0-1
L#2 DoublesEvan Nadel / Shannon Roper vs Jacqueline Cassidy / David Miles4-6, 4-6
W#3 DoublesZorba Lieberman / Annie Haskel vs Rich Pomerantz / Trish Rosa6-2, 6-3
2022-03-19vs MRC:All Mixed Up:IslamLost 12
L#1 DoublesChihwa Tang / Kendall Spaght vs Andrew Leggio / Silvia Islam2-6, 4-6
L#2 DoublesSelina Huber / Theodore Huber vs Nancy Hawley / Matthew Berger5-7, 4-6
W#3 DoublesLorraine Palumbo / Kenneth Palumbo vs Sohel Islam / Susan Daly7-5, 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 standings9 teams · 7.0 Mixed - 2
TeamWLInd. WInd. LSets lostGames lost
1CP:Chelsea Tsunami:Raman0818615181
2NC:Intensity 7.0:Nix/Israel0816818185
3CP:Unstrung Heroes:das Neves/Torres0815919173
44S:2022 40+ Mixed Reactions:Gregor/Haskins0871736257
5CP:Point Players:Clarke/Garcia0842043279
6MRC:All Mixed Up:Islam0918921223
7FIT:Mixed 7.0:Palumbo/Roper09121531268
8MRC:Match Makers:Capanna/Kinoshita09141333253
9TRC:Fields of Dreams:Fields09101738275

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 3.27 estimated across 12 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.

3.80
Andrea Nadel
usually #1 Doubles 100% · published 4
3.75
Evan Nadel
usually #2 Doubles 67%, also #1 Doubles 33% · published 4
James Haskel
usually #1 Doubles 100% · published 4
3.53
Kendall Spaght
usually #3 Doubles 75%, also #1 Doubles 25% · published
3.46
Sandra Frost
published
3.37
Shannon Roper
usually #2 Doubles 100% · published
3.33
Stephanie Mercado
usually #1 Doubles 50%, also #2 Doubles 50% · published
Andrew Genser
usually #2 Doubles 67%, also #3 Doubles 33% · published 3.5
Deborah Lloyd
usually #3 Doubles 67%, also #1 Doubles 33% · published 3.5
3.21
Anna Danchak
usually #2 Doubles 100% · published 3.5
3.04
Chihwa Tang
usually #3 Doubles 67%, also #1 Doubles 33% · published 3
3.03
Lorraine Palumbo
usually #3 Doubles 50%, also #1 Doubles 50% · published
2.99
Julia Genser
usually #1 Doubles 50%, also #3 Doubles 50% · published
2.93
Selina Huber
usually #1 Doubles 50%, also #2 Doubles 50% · published
2.84
Annie Haskel
usually #3 Doubles 100% · published 3
Kenneth Palumbo
usually #3 Doubles 60%, also #1 Doubles 40% · published
Linda Gordon
published
Mark Danchak
usually #1 Doubles 33%, also #2 Doubles 33% · published
Sarah Keefe
published
Steven Frost
published
Theodore Huber
usually #1 Doubles 50%, also #2 Doubles 50% · published
Zorba Lieberman
usually #1 Doubles 67%, also #3 Doubles 33% · 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.

Chihwa Tang + Kendall Spaght32761% games+13.5% vs expected
Andrea Nadel + Evan Nadel12267% games+10.9% vs expected
Julia Genser + Andrew Genser6456% games−4.7% vs expected
Selina Huber + Theodore Huber42043% gamesnot enough data
Lorraine Palumbo + Kenneth Palumbo17458% gamesnot enough data
Sandra Frost + Steven Frost4551% gamesnot enough data
Stephanie Mercado + Evan Nadel4161% gamesnot enough data
Annie Haskel + James Haskel314 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
Andrea Nadel
68W–18L career · 2 lines in 2022
1%93%6%
3.80
4
Evan Nadel
39W–20L career · 3 lines in 2022
3%95%3%
3.75
4
James Haskel
3W–4L career · type M · 1 line in 2022
not enough data
Kendall Spaght
76W–24L career · 4 lines in 2022
<1%40%60%
3.53
Sandra Frost
33W–15L career · no lines in 2022
<1%63%37%
3.46
Shannon Roper
82W–64L career · 3 lines in 2022
<1%84%16%
3.37
Stephanie Mercado
48W–38L career · 2 lines in 2022
1%90%10%
3.33
3.5
Andrew Genser
8W–4L career · type M · 3 lines in 2022
not enough data
3.5
Deborah Lloyd
0W–3L career · type S · 3 lines in 2022
not enough data
3.5
Anna Danchak
46W–38L career · 1 line in 2022
5%93%1%
3.21
3
Chihwa Tang
62W–38L career · 3 lines in 2022
<1%39%61%
3.04
Lorraine Palumbo
48W–34L career · 4 lines in 2022
40%60%<1%
3.03
Julia Genser
31W–29L career · 2 lines in 2022
54%46%<1%
2.99
Selina Huber
36W–82L career · 2 lines in 2022
69%31%<1%
2.93
3
Annie Haskel
18W–12L career · 2 lines in 2022
<1%88%11%
2.84
Kenneth Palumbo
21W–6L career · 5 lines in 2022
not enough data
Linda Gordon
16W–3L career · no lines in 2022
not enough data
Mark Danchak
0W–4L career · 3 lines in 2022
not enough data
Sarah Keefe
7W–19L career · no lines in 2022
not enough data
Steven Frost
4W–5L career · no lines in 2022
not enough data
Theodore Huber
5W–20L career · 2 lines in 2022
not enough data
Zorba Lieberman
4W–1L career · 3 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.