Teams

JCC - Dudes

2025 HTA Spring NA - Men's Doubles Thursday · 4.5 Men's Doubles

12 players · average NTRP 4.25 / TEXAS

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 →
Schedule1 played
2025-02-13vs LLTC - SugmaLost 03
L#1 DoublesDaniel Cohen / Matthew Tong vs Chaoning Zeng / Lening Wang2-6, 6-7
L#2 DoublesNeal Rosen / George Ross vs Erik Janssen / Cooper Viancos4-6, 6-2, 0-1
L#3 DoublesTom Nguyen / James Deleon vs John Nguyen / Jason Ye1-6, 4-6
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 standings for 4.5 Men's Doubles 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 3.86 estimated across 8 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.

4.32
Jonathan Sternberg
published
Daniel Cohen
published 4.5
4.11
Matthew Tong
usually #1 Doubles 100% · published
4.03
George Ross
usually #2 Doubles 100% · published
3.88
Rick Guttman
published
3.77
Neal Rosen
usually #2 Doubles 100% · published
3.77
Ajai Hari
published 4
3.57
James Deleon
usually #3 Doubles 50%, also #1 Doubles 50% · published
3.46
John Blumenthal
published
Ory Haisraely
published
Paul Summers
published
Ramon Li
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.

Neal Rosen + Ajai Hari5847% games−0.6% vs expected
Neal Rosen + Paul Summers1828% games−9.6% vs expected
John Blumenthal + Neal Rosen1533% games−13.2% vs expected
John Blumenthal + Rick Guttman1529% games−20.1% vs expected
James Deleon + Neal Rosen1538% gamesnot enough data
John Blumenthal + George Ross2343% gamesnot enough data
John Blumenthal + Ajai Hari044 matchesnot enough data
James Deleon + Rick Guttman044 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.

Jonathan Sternberg
38W–14L career · no lines in 2025
1%89%10%
4.32
4.5
Daniel Cohen
17W–5L career · no lines in 2025
not enough data
Matthew Tong
7W–13L career · 1 line in 2025
21%79%<1%
4.11
George Ross
18W–13L career · 1 line in 2025
41%59%<1%
4.03
Rick Guttman
3W–23L career · no lines in 2025
81%19%<1%
3.88
Neal Rosen
21W–43L career · 1 line in 2025
3%92%5%
3.77
4
Ajai Hari
43W–54L career · no lines in 2025
3%92%5%
3.77
James Deleon
26W–47L career · 4 lines in 2025
30%70%<1%
3.57
John Blumenthal
8W–41L career · no lines in 2025
>99%<1%<1%
3.46
Ory Haisraely
0W–4L career · no lines in 2025
not enough data
Paul Summers
9W–23L career · no lines in 2025
not enough data
Ramon Li
3W–7L career · no lines in 2025
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.