Teams

GF:Super Smash Brothers:Kaplan

2022 ECT Adult 18 & Over Men · 3.0 Men 1

14 players · average NTRP 3.00 / 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 →
Schedule6 played
2022-03-20vs MIL:3.0 Men:McVoySplit 22
L#1 DoublesOliver Yuan / Donald Bernier vs Jason Kostecki / John Kostecki4-6, 5-7
W#1 SinglesStephen Thomas vs Brian Wei6-4, 6-1
L#2 DoublesAnthony Ferrara / Ronald Barba vs Donald Dib / Henrik McVoy3-6, 4-6
W#3 DoublesMartin Tillier / William Mainor vs David Doyle / Wayne Billingham4-6, 6-2, 1-0
2022-03-05vs MIL:3.0 Men:McVoyLost 12
L#1 DoublesRonald Barba / Oliver Yuan vs Sidhartha Sridharan / Ray Cerritelli6-7, 1-6
W#1 SinglesKen Waterman vs Brian Wei6-1, 6-0
L#2 DoublesAndrew Kaplan / James Whelan vs David Doyle / Wayne Billingham4-6, 3-6
2022-02-27vs MIL:3.0 Men:McVoyLost 13
W#1 DoublesKen Waterman / Oliver Yuan vs Jason Kostecki / Donald Dib6-2, 7-5
L#1 SinglesStephen Thomas vs John Kostecki4-6, 1-6
L#2 DoublesAndrew Kaplan / John la Pan vs Sidhartha Sridharan / Brian Wei3-6, 4-6
L#3 DoublesMartin Tillier / William Mainor vs David Doyle / Henrik McVoy6-4, 3-6, 0-1
2021-12-18vs MIL:3.0 Men:McVoyLost 12
L#1 DoublesRonald Barba / John la Pan vs Matthew Davis / Ray Cerritelli5-7, 1-6
W#1 SinglesKen Waterman vs Wayne Billingham6-1, 6-2
L#2 DoublesMark Aron / Jon Leiberman vs Henrik McVoy / Sidhartha Sridharan3-6, 4-6
2021-11-21vs MIL:3.0 Men:McVoyLost 12
L#1 DoublesDonald Bernier / Oliver Yuan vs Matthew Davis / Brian Parker2-6, 1-6
L#1 SinglesStephen Thomas vs John Kostecki3-6, 4-6
W#2 DoublesJohn la Pan / Ken Waterman vs David Doyle / Donald Dib6-1, 6-1
2021-10-16vs MIL:3.0 Men:McVoyWon 40
W#1 DoublesRonald Barba / Ken Waterman vs Andrew Taylor / Ray Cerritelli4-6, 6-4, 1-0
W#1 SinglesJon Leiberman vs Henrik McVoy6-2, 6-2
W#2 DoublesDonald Bernier / Oliver Yuan vs John Kostecki / Brian Wei6-1, 6-1
W#3 DoublesMark Aron / Stephen Thomas vs Wayne Billingham / David Doyle6-3, 4-6, 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 standings for 3.0 Men 1 have not been collected yet. Where we have them we show every team in the flight ranked, with this team highlighted. The crawler is still filling in older seasons and flights.

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 2.70 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.

2.80
John la Pan
usually #2 Doubles 67%, also #1 Doubles 33% · published
Andrew Kaplan
usually #2 Doubles 100% · published 3
2.72
Anthony Ferrara
usually #2 Doubles 100% · published 3
2.64
Mark Aron
usually #3 Doubles 50%, also #2 Doubles 50% · published
2.63
James Whelan
usually #2 Doubles 100% · published 3
Donald Bernier
usually #1 Doubles 67%, also #2 Doubles 33% · published
John Dobbins
published
Jon Leiberman
usually #1 Singles 50%, also #2 Doubles 50% · published
Ken Waterman
usually #1 Doubles 40%, also #1 Singles 40% · published
Martin Tillier
usually #3 Doubles 100% · published
Oliver Yuan
usually #1 Doubles 80%, also #2 Doubles 20% · published
Stephen Thomas
usually #1 Singles 75%, also #3 Doubles 25% · published
Wayne Badman
published
William Mainor
usually #3 Doubles 100% · 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.

Wayne Badman + Martin Tillier2446% games+4.3% vs expected
Andrew Kaplan + Martin Tillier11139% games+0.2% vs expected
Oliver Yuan + Donald Bernier5452% games−5.7% vs expected
Anthony Ferrara + Mark Aron1538% gamesnot enough data
Mark Aron + Donald Bernier3354% gamesnot enough data
Oliver Yuan + Ken Waterman4159% gamesnot enough data
Anthony Ferrara + Martin Tillier134 matchesnot enough data
Martin Tillier + Mark Aron224 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 la Pan
24W–16L career · 3 lines in 2022
1%93%6%
2.80
3
Andrew Kaplan
11W–38L career · 2 lines in 2022
not enough data
3
Anthony Ferrara
22W–43L career · 1 line in 2022
5%94%2%
2.72
Mark Aron
33W–62L career · 2 lines in 2022
14%85%<1%
2.64
3
James Whelan
9W–9L career · 1 line in 2022
15%85%<1%
2.63
Donald Bernier
19W–16L career · 3 lines in 2022
not enough data
John Dobbins
0W–10L career · no lines in 2022
not enough data
Jon Leiberman
6W–24L career · 2 lines in 2022
not enough data
Ken Waterman
21W–4L career · 5 lines in 2022
not enough data
Martin Tillier
15W–47L career · 2 lines in 2022
not enough data
Oliver Yuan
13W–13L career · 5 lines in 2022
not enough data
Stephen Thomas
2W–7L career · 4 lines in 2022
not enough data
Wayne Badman
2W–4L career · no lines in 2022
not enough data
William Mainor
2W–7L career · 2 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.