Teams

Team Globerman

2024 18&Over Men · 5.0

20 players · average NTRP 4.67 / 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 →
Schedule12 played
2024-01-21vs Team MeklesLost 12
L#1 DoublesVictor Li Wang / Jake Goodman vs Ion Efrim / Conrad Harron0-6, 0-6
L#1 SinglesAdam Schere vs Rohan Chandrasekhar1-6, 0-6
W#2 DoublesJoseph Iwanski / Jeremy Scott Bader vs N/A6-0, 6-0
2024-01-13vs Team GermainSplit 11
L#1 DoublesEric Globerman / Adam Schere vs Joshua Piatos / A Germain3-6, 3-6
W#1 SinglesJeremy Scott Bader vs Nico Sigloch6-1, 6-1
2024-01-05vs NJ: Team PallaresLost 03
L#1 DoublesHourad Afsar / Eduardo Dos Santos vs Gregory Friedman / Ian Katz2-6, 0-6
L#1 SinglesEric Globerman vs Michael-Ray Pallares0-6, 0-6
L#2 DoublesViral Pandya / Rahul Pawar vs Brendan Thomas / Seth Pamperin6-7, 0-6
2023-12-16vs Team MeklesLost 03
L#1 DoublesJeremy Scott Bader / David Bochner vs Jon Rubinstein / Rodrigo Echavarria1-6, 3-6
L#1 SinglesEric Globerman vs Ion Efrim0-6, 0-6
L#2 DoublesEduardo Dos Santos / Adam Schere vs Conrad Harron / Rohan Chandrasekhar0-6, 1-6
2023-12-08vs Team GermainWon 20
W#1 DoublesSteven Altonji / Rahul Pawar vs JACOB PEREZ / Anthony Katic6-3, 6-4
W#1 SinglesEric Globerman vs A Germain7-6, 5-7, 1-0
2023-12-02vs NJ: Team PallaresLost 12
L#1 DoublesViral Pandya / Joseph Iwanski vs Ricky Bawa / Naftali Schuss6-3, 2-6, 1-0
W#1 SinglesJeremy Scott Bader vs Brendan Thomas6-1, 7-5
L#2 DoublesDavid Bochner / Hourad Afsar vs Jeff Kurtz / Eric Jin2-6, 2-6
2023-11-17vs Team MeklesSplit 11
W#1 DoublesJoseph Iwanski / Viral Pandya vs Todd Mekles / Gerald Dichiara4-6, 7-6, 1-0
L#1 SinglesEric Globerman vs Ion Efrim1-6, 0-6
2023-11-11vs Team GermainLost 12
L#1 DoublesVictor Li Wang / Eduardo Dos Santos vs Todd Rilinger / Harsha Uppili5-7, 5-7
W#1 SinglesJeremy Scott Bader vs Bryan Newell6-3, 6-1
L#2 DoublesAndrew Song / Brian Leary vs Willen Feygin / Peter Schmidt6-7, 6-1, 0-1
2023-11-03vs NJ: Team PallaresLost 03
L#1 DoublesEduardo Dos Santos / Victor Li Wang vs Paul Caceres / Bradley Sloand4-6, 4-6
L#1 SinglesAdam Schere vs Michael-Ray Pallares0-6, 0-6
L#2 DoublesJeremy Scott Bader / Joseph Iwanski vs Prasanna Fernando / Anthony Jelderks1-6, 6-2, 0-1
2023-10-29vs Team MeklesWon 21
W#1 DoublesViral Pandya / Todd Sherman vs Rohan Chandrasekhar / Marcos Rocca6-4, 6-4
W#1 SinglesEric Globerman vs Landon Hover6-1, 6-0
L#2 DoublesEduardo Dos Santos / Adam Schere vs Conrad Harron / Todd Mekles2-6, 2-6
2023-10-20vs Team GermainLost 03
L#1 DoublesJake Goodman / Victor Li Wang vs Harsha Uppili / Todd Rilinger2-6, 4-6
L#1 SinglesEduardo Dos Santos vs A Germain4-6, 4-6
L#2 DoublesAndrew Song / James Burger vs Peter Schmidt / Willen Feygin3-6, 6-4, 1-0
2023-10-14vs NJ: Team PallaresLost 02
L#1 DoublesEric Globerman / Adam Schere vs Michael-Ray Pallares / Gary Rees4-6, 4-6
L#1 SinglesEduardo Dos Santos vs Anthony Jelderks4-6, 6-7
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 standings4 teams · 5.0
TeamWLInd. WInd. LSets lostGames lost
1NJ: Team Pallares12031515202
2Team Mekles75201632260
3Team Germain39112552377
4Team Globerman21092756370

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 4.18 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.

Daniel Chang
published 5
4.36
Viral Pandya
usually #1 Doubles 57%, also #2 Doubles 29% · published
4.35
Jeremy Scott Bader
usually #1 Singles 60%, also #1 Doubles 20% · published
4.29
Adam Schere
usually #2 Doubles 33%, also #1 Doubles 33% · published 5
4.28
Alex Qin
published 5
Brian Leary
usually #2 Doubles 60%, also #3 Doubles 20% · published 4.5
4.24
Eduardo Dos Santos
usually #1 Doubles 43%, also #1 Singles 29% · published
4.22
James Burger
usually #3 Doubles 33%, also #2 Singles 33% · published
4.17
Todd Sherman
usually #1 Doubles 100% · published
3.84
David Bochner
usually #2 Doubles 57%, also #2 Singles 14% · published 4
3.83
Andrew Song
usually #3 Doubles 40%, also #2 Doubles 40% · published 4.5
Eric Globerman
usually #1 Singles 71%, also #1 Doubles 29% · published
Hourad Afsar
usually #1 Doubles 50%, also #2 Doubles 50% · published
Jake Goodman
published
Joseph Iwanski
usually #1 Doubles 67%, also #2 Doubles 33% · published
Rahul Pawar
usually #2 Doubles 50%, also #1 Doubles 50% · published
Steven Altonji
usually #1 Doubles 100% · published
Stewart Halbauer
published
Timothy Chang
published
Victor Li Wang
usually #1 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.

Joseph Iwanski + Viral Pandya2348% games+0.5% vs expected
Adam Schere + Alex Qin4740% games−5.2% vs expected
James Burger + Andrew Song7950% games−8.0% vs expected
Eduardo Dos Santos + Victor Li Wang044 matchesnot enough data
Eduardo Dos Santos + Alex Qin044 matchesnot enough data
Victor Li Wang + Alex Qin314 matchesnot enough data
Adam Schere + Eduardo Dos Santos033 matchesnot enough data
Joseph Iwanski + Hourad Afsar213 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.

5
Daniel Chang
7W–0L career · no lines in 2024
not enough data
Viral Pandya
68W–67L career · 7 lines in 2024
1%84%15%
4.36
Jeremy Scott Bader
18W–13L career · 5 lines in 2024
1%85%14%
4.35
5
Adam Schere
41W–38L career · 6 lines in 2024
no projection at this level
4.29
5
Alex Qin
25W–23L career · no lines in 2024
no projection at this level
4.28
4.5
Brian Leary
14W–11L career · 5 lines in 2024
not enough data
Eduardo Dos Santos
2W–27L career · 7 lines in 2024
no projection at this level
4.24
James Burger
35W–17L career · 6 lines in 2024
6%92%2%
4.22
Todd Sherman
41W–34L career · 1 line in 2024
11%88%1%
4.17
4
David Bochner
20W–46L career · type A · 7 lines in 2024
1%86%13%
3.84
4.5
Andrew Song
24W–38L career · 5 lines in 2024
88%12%<1%
3.83
Eric Globerman
14W–15L career · 7 lines in 2024
not enough data
Hourad Afsar
3W–9L career · 2 lines in 2024
not enough data
Jake Goodman
12W–9L career · no lines in 2024
not enough data
Joseph Iwanski
73W–64L career · 9 lines in 2024
not enough data
Rahul Pawar
1W–1L career · 2 lines in 2024
not enough data
Steven Altonji
10W–11L career · 1 line in 2024
not enough data
Stewart Halbauer
1W–1L career · no lines in 2024
not enough data
Timothy Chang
9W–4L career · no lines in 2024
not enough data
Victor Li Wang
8W–17L career · 4 lines in 2024
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.