Teams

A55 9.0M CRC Florman

2022 NEOTA Adult 55 & Over · NEOTA A55&O 9.0 Men

12 players · average NTRP 4.50 / NORTHEASTERN OHIO

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 →
Schedule6 played
2022-07-26vs A55 9.0M TC LimbergLost 12
W#1 DoublesPhilip Dubsky / John Schloss vs Daniel Craven / Andreas Spintzyk6-4, 6-1
L#2 DoublesLeslie Curtis / Kevin Shaw vs David Limberg / Rich Johnson3-6, 6-7
L#3 DoublesMark Florman / James Persky vs Brian Rector / Victor Trzeciak2-6, 6-4, 0-1
2022-07-14vs A55 9.0M CV AtenLost 12
L#1 DoublesKevin Callanan / Philip Dubsky vs Greg Aten / Frederick McLaughlin6-7, 5-7
W#2 DoublesRobert Edelstein / John Schloss vs Eric Vinborg / Robert Golsmith6-3, 6-0
L#3 DoublesKevin Shaw / Steve Simone vs Charles Norman / Mark Mollison4-6, 2-6
2022-06-23vs A55 9.0M TC LimbergLost 12
L#1 DoublesJohn Schloss / Carl Adler vs David Limberg / Michael Levy6-2, 0-6, 0-1
L#2 DoublesRobert Edelstein / Steve Simone vs Brian Rector / Edmund Fitzpatrick3-6, 6-4, 1-0
W#3 DoublesMark Florman / James Persky vs Rich Johnson / Victor Trzeciak6-3, 6-4
2022-06-16vs A55 9.0M CV AtenWon 21
L#1 DoublesMark Florman / James Persky vs Frederick McLaughlin / Mark Mollison1-6, 2-6
W#2 DoublesJohn Schloss / Carl Adler vs Robert Golsmith / Paul Nahra6-0, 6-4
W#3 DoublesPhilip Dubsky / Leslie Curtis vs Greg Aten / John Schiller5-7, 6-4, 1-0
2022-06-02vs A55 9.0M TC LimbergWon 20
W#1 DoublesKevin Shaw / Leslie Curtis vs Michael Levy / Edmund Fitzpatrick6-2, 6-7, 1-0
W#2 DoublesMark Florman / Robert Eidnier vs Brian Rector / Rich Johnson7-6, 0-6, 1-0
2022-05-26vs A55 9.0M CV AtenLost 12
W#1 DoublesKevin Callanan / Philip Dubsky vs David Joranko / Charles Norman6-1, 6-3
L#2 DoublesRobert Edelstein / Leslie Curtis vs Eric Hillstrom / Robert Golsmith1-6, 6-4, 0-1
L#3 DoublesMark Florman / Tom McPhillips vs Eric Vinborg / Frederick McLaughlin3-6, 5-7
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 standings3 teams · NEOTA A55&O 9.0 Men
TeamWLInd. WInd. LSets lostGames lost
1A55 9.0M CV Aten5112615149
2A55 9.0M CRC Florman2481023172
3A55 9.0M TC Limberg2471126176

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 4.29 estimated across 4 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.

4.46
John Schloss
usually #1 Doubles 50%, also #2 Doubles 50% · published
4.38
Mark Florman
usually #3 Doubles 60%, also #2 Doubles 20% · published
4.33
Carl Adler
usually #1 Doubles 50%, also #2 Doubles 50% · published 4.5
3.98
Philip Dubsky
usually #1 Doubles 80%, also #3 Doubles 20% · published
Kevin Callanan
usually #1 Doubles 100% · published
Kevin Shaw
usually #1 Doubles 33%, also #3 Doubles 33% · published
Leslie Curtis
usually #2 Doubles 50%, also #1 Doubles 25% · published
Marc Spector
published
Mark Cassell
published
Robert Edelstein
usually #2 Doubles 100% · published
Steve Simone
usually #2 Doubles 50%, also #3 Doubles 50% · published
Tom McPhillips
usually #1 Doubles 56%, 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.

Mark Cassell + John Schloss6065% gamesnot enough data
Mark Florman + Leslie Curtis5067% gamesnot enough data
Mark Florman + John Schloss4155% gamesnot enough data
Leslie Curtis + Philip Dubsky3248% gamesnot enough data
Marc Spector + Kevin Shaw224 matchesnot enough data
Kevin Callanan + Philip Dubsky224 matchesnot enough data
John Schloss + Robert Edelstein404 matchesnot enough data
Carl Adler + Mark Florman303 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.

John Schloss
27W–5L career · 4 lines in 2022
<1%63%37%
4.46
Mark Florman
63W–20L career · 5 lines in 2022
<1%82%18%
4.38
4.5
Carl Adler
56W–23L career · 2 lines in 2022
1%90%10%
4.33
Philip Dubsky
47W–37L career · 5 lines in 2022
<1%58%42%
3.98
Kevin Callanan
23W–17L career · 2 lines in 2022
not enough data
Kevin Shaw
9W–6L career · 3 lines in 2022
not enough data
Leslie Curtis
24W–12L career · 4 lines in 2022
not enough data
Marc Spector
8W–4L career · no lines in 2022
not enough data
Mark Cassell
10W–4L career · no lines in 2022
not enough data
Robert Edelstein
11W–4L career · 3 lines in 2022
not enough data
Steve Simone
0W–4L career · 2 lines in 2022
not enough data
Tom McPhillips
55W–40L career · 9 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.