Teams

Point Set, Schnabel

2022 18&Over Mixed · 9.0

14 players · average NTRP 4.25 / LONG ISLAND REGION

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 →
Schedule7 played
2022-03-09vs Deer Park, ChuaWon 10
W#1 DoublesDavid Nisenson / Antonella Karlin vs Marvin Jeffrey / Jessica Fu3-6, 6-3, 1-0
2022-03-05vs LI: Lynbrook, BlueWon 20
W#1 DoublesMitchell Low / Antonella Karlin vs Frank Fattizzi / Sondra Glueck6-1, 7-5
W#2 DoublesPaul Schnabel / Nancy Turnblacer vs Yassine Azagar / Jacqueline Clark6-4, 7-5
2022-01-23vs Carefree, Chaffer/ChesneyWon 21
L#1 DoublesSarah Bowen / Ian Zaslansky vs Dane Phillips / Cristina Leek7-5, 1-6, 0-1
W#2 DoublesNancy Turnblacer / Paul Schnabel vs Adam Kolenberg / Brianna Biancardi6-1, 6-1
W#3 DoublesTerry Kossegi / Jennifer Einhorn vs RJ Narciso / Ashley Lessen6-2, 7-5
2022-01-09vs LI: Lynbrook, BlueWon 20
W#1 DoublesSarah Bowen / Ian Zaslansky vs Yassine Azagar / Mehves Kocak-Elci6-1, 7-6
W#3 DoublesPaul Schnabel / Beth Mercante vs Frank Fattizzi / Marsha Silverman6-4, 6-1
2022-01-08vs Long Beach, MalikSplit 11
W#2 DoublesSarah Bowen / Paul Schnabel vs Michael Flaherty / Carly Loewenstein6-1, 6-2
L#3 DoublesMitchell Low / Beth Mercante vs Ryan Musalo / Tracey Gottlieb3-6, 1-6
2021-11-20vs Deer Park, ChuaLost 02
L#2 DoublesBrian Connor / Beth Mercante vs Michael Cornelius / Francesca Roth3-6, 0-6
L#3 DoublesClaudio Eulau / Cristina Bryan vs Glen Eschbach / Sonmi Wong6-4, 4-6, 0-1
2021-11-19vs Carefree, Chaffer/ChesneySplit 11
L#1 DoublesNancy Turnblacer / Ian Zaslansky vs Renee Lemmerman / Joseph Perri3-6, 7-6, 0-1
W#3 DoublesMitchell Low / Beth Mercante vs Ashley Lessen / RJ Narciso5-7, 7-5, 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 · 9.0
TeamWLInd. WInd. LSets lostGames lost
1LI: Blue Point, Parker0819514172
2Point Set, Schnabel0815818186
3Long Beach, Malik0881635263
4Carefree, Dantonio/Dimino0871736257

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 4.06 estimated across 9 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.

4.61
Sarah Bowen
usually #1 Doubles 67%, also #2 Doubles 33% · published
4.44
Antonella Karlin
usually #1 Doubles 100% · published 4.5
4.27
Terry Kossegi
usually #3 Doubles 75%, also #2 Doubles 25% · published 4.5
4.25
Mitchell Low
usually #1 Doubles 36%, also #2 Doubles 36% · published 4.5
Claudio Eulau
usually #3 Doubles 100% · published 4.5
4.17
Katie Figgie
usually #2 Doubles 50%, also #3 Doubles 25% · published
3.85
Ian Zaslansky
usually #1 Doubles 75%, also #2 Doubles 19% · published 4
3.73
Beth Mercante
usually #3 Doubles 75%, also #2 Doubles 25% · published 4
3.65
Brian Connor
usually #2 Doubles 67%, also #3 Doubles 33% · published 4
3.55
Cristina Bryan
usually #2 Doubles 67%, also #3 Doubles 33% · published 4
Elizabeth Ingrassia
usually #3 Doubles 100% · published
Jennifer Einhorn
usually #3 Doubles 100% · published
Nancy Turnblacer
usually #2 Doubles 67%, also #1 Doubles 33% · published
Paul Schnabel
usually #2 Doubles 64%, also #1 Doubles 29% · 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.

Antonella Karlin + Terry Kossegi6259% games+11.2% vs expected
Katie Figgie + Mitchell Low6650% games−5.7% vs expected
Mitchell Low + Antonella Karlin5153% games−8.9% vs expected
Cristina Bryan + Paul Schnabel5352% gamesnot enough data
Katie Figgie + Brian Connor4153% gamesnot enough data
Katie Figgie + Terry Kossegi2341% gamesnot enough data
Mitchell Low + Beth Mercante2343% gamesnot enough data
Paul Schnabel + Beth Mercante3256% gamesnot 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.

Sarah Bowen
52W–23L career · 3 lines in 2022
19%80%<1%
4.61
4.5
Antonella Karlin
153W–46L career · 2 lines in 2022
<1%68%32%
4.44
4.5
Terry Kossegi
103W–77L career · 4 lines in 2022
2%94%4%
4.27
4.5
Mitchell Low
276W–157L career · 11 lines in 2022
2%95%3%
4.25
4.5
Claudio Eulau
2W–4L career · type S · 1 line in 2022
not enough data
Katie Figgie
100W–60L career · 8 lines in 2022
10%90%1%
4.17
4
Ian Zaslansky
212W–100L career · 16 lines in 2022
<1%88%12%
3.85
4
Beth Mercante
32W–44L career · 4 lines in 2022
4%94%2%
3.73
4
Brian Connor
86W–71L career · 6 lines in 2022
12%88%<1%
3.65
4
Cristina Bryan
70W–75L career · 3 lines in 2022
34%66%<1%
3.55
Elizabeth Ingrassia
47W–22L career · 1 line in 2022
not enough data
Jennifer Einhorn
51W–37L career · 1 line in 2022
not enough data
Nancy Turnblacer
23W–15L career · 3 lines in 2022
not enough data
Paul Schnabel
52W–28L career · 14 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.