Teams

Beerclaw

2022 18&Over Men · 4.5

20 players · average NTRP 4.50 / NEW JERSEY 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 →
Schedule2 played
2022-07-21vs PrevostLost 01
L#1 SinglesBen Kelly vs David Mira4-6, 4-6
2022-07-14vs PrevostLost 01
L#2 SinglesBen Kelly vs Emmanuel Sobong3-6, 1-6
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 standings1 teams · 4.5
TeamWLInd. WInd. LSets lostGames lost
1Beerclaw17112964445

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 4.21 estimated across 15 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.

4.49
Jason Palleschi
usually #2 Doubles 60%, also #1 Doubles 20% · published
4.48
Stefano Salvatore
usually #3 Doubles 50%, also #1 Doubles 25% · published
4.42
Jacob Kaminsky
usually #2 Singles 50%, also #3 Doubles 25% · published 4.5
4.34
Eric Bochner
usually #1 Doubles 50%, also #2 Singles 17% · published 4.5
4.23
Carlos Vasquez Sr
usually #2 Doubles 44%, also #3 Doubles 44% · published 4.5
4.22
Eric Ruta
usually #1 Doubles 50%, also #2 Doubles 33% · published 4.5
4.19
Francois Vernet
usually #3 Doubles 50%, also #1 Doubles 33% · published 4.5
4.19
Brandon Liebeskind
usually #2 Doubles 50%, also #3 Doubles 33% · published 4.5
4.14
Ray Kaplan
usually #2 Doubles 46%, also #1 Doubles 39% · published
4.13
Greg Nam
usually #3 Doubles 80%, also #1 Doubles 20% · published 4.5
4.08
Ben Kelly
usually #2 Singles 50%, also #1 Singles 50% · published 4.5
4.08
Lu Su
usually #2 Doubles 100% · published
4.08
Frank Dunne
usually #2 Doubles 43%, also #3 Doubles 29% · published 4.5
4.07
Peter Schmidt
usually #2 Doubles 50%, also #1 Doubles 50% · published
3.95
Thomas Wagner
usually #1 Singles 67%, also #2 Singles 33% · published
Jason Prezant
usually #1 Doubles 80%, also #2 Doubles 20% · published
Ken Wu
usually #3 Doubles 67%, also #1 Doubles 33% · published
Max Moscowitz
usually #1 Singles 50%, also #1 Doubles 25% · published
Michael Alexander
usually #3 Doubles 50%, also #2 Doubles 33% · published
Scott Gannon
usually #2 Singles 60%, also #1 Doubles 20% · 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.

Eric Bochner + Ray Kaplan6165% games+13.3% vs expected
Jason Palleschi + Ray Kaplan10161% games+4.8% vs expected
Ken Wu + Francois Vernet5451% games−1.4% vs expected
Ken Wu + Greg Nam8948% games−3.1% vs expected
Brandon Liebeskind + Ken Wu4157% games−3.9% vs expected
Frank Dunne + Carlos Vasquez Sr81644% games−6.5% vs expected
Jason Palleschi + Eric Ruta1532% gamesnot enough data
Eric Ruta + Ray Kaplan2352% 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.

Jason Palleschi
86W–43L career · 5 lines in 2022
<1%53%47%
4.49
Stefano Salvatore
8W–4L career · 4 lines in 2022
<1%56%44%
4.48
4.5
Jacob Kaminsky
36W–28L career · 8 lines in 2022
<1%72%28%
4.42
4.5
Eric Bochner
44W–33L career · 6 lines in 2022
<1%89%11%
4.34
4.5
Carlos Vasquez Sr
114W–90L career · 9 lines in 2022
4%94%2%
4.23
4.5
Eric Ruta
66W–38L career · 6 lines in 2022
4%94%2%
4.22
4.5
Francois Vernet
77W–65L career · 6 lines in 2022
7%92%1%
4.19
4.5
Brandon Liebeskind
21W–15L career · 6 lines in 2022
8%92%1%
4.19
Ray Kaplan
48W–41L career · 13 lines in 2022
13%86%<1%
4.14
4.5
Greg Nam
12W–25L career · 5 lines in 2022
15%84%<1%
4.13
4.5
Ben Kelly
13W–16L career · 2 lines in 2022
26%74%<1%
4.08
Lu Su
13W–26L career · 2 lines in 2022
27%73%<1%
4.08
4.5
Frank Dunne
19W–50L career · 7 lines in 2022
28%72%<1%
4.08
Peter Schmidt
13W–7L career · 4 lines in 2022
28%71%<1%
4.07
Thomas Wagner
27W–17L career · 3 lines in 2022
<1%66%34%
3.95
Jason Prezant
8W–3L career · 5 lines in 2022
not enough data
Ken Wu
28W–30L career · 6 lines in 2022
not enough data
Max Moscowitz
9W–16L career · 4 lines in 2022
not enough data
Michael Alexander
10W–8L career · 6 lines in 2022
not enough data
Scott Gannon
8W–2L career · 5 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.