Teams

UNIVERSITY CLUB PA 40AM4.5A

2025 ADULT 40&Over · Men's 4.5

18 players · average NTRP 4.50 / NO. CALIFORNIA

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
2025-03-13Won 10
W#1 DoublesDonny Su / Zachary Pozner vs Elisban Rodriguez / Ben Shapiro6-3, 6-3
2025-02-22vs FREMONT TC 40AM4.5AWon 10
W#2 DoublesSamir Hrnjadovic / Joshua Kaye vs Tarun Rajavelu / Anindya Banerjee6-2, 6-1
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 Men's 4.5 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 4.20 estimated across 17 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.

4.51
Ye Guan
published
4.44
Joshua Kaye
usually #2 Doubles 100% · published
4.44
Zachary Pozner
usually #1 Doubles 100% · published
4.42
Justin Sleasman
published
4.39
Tyler Nielson
published
4.37
Regan Poston
published
4.35
Ying Cai
published
4.34
Mark Dinh
published
4.29
Randy Becker
published
4.25
Jason Kuo
published
4.04
Mitch Hu
published
4.03
Jason Matlof
published
4.03
Guibin Tian
published
3.95
Aroop Ganguly
published 4.5
3.89
Tom Brehme
published
3.88
Jeff Klapper
published
3.85
Mahi DeSilva
published
Ramu Arunachalam
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.

Randy Becker + Jason Matlof404 matchesnot enough data
Zachary Pozner + Mark Dinh404 matchesnot enough data
Tom Brehme + Jeff Klapper404 matchesnot enough data
Tom Brehme + Jason Matlof134 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.

Ye Guan
7W–1L career · no lines in 2025
<1%47%53%
4.51
Joshua Kaye
16W–18L career · 1 line in 2025
<1%65%34%
4.44
Zachary Pozner
20W–7L career · 1 line in 2025
<1%67%33%
4.44
Justin Sleasman
9W–1L career · no lines in 2025
<1%72%28%
4.42
Tyler Nielson
2W–2L career · no lines in 2025
<1%78%22%
4.39
Regan Poston
5W–3L career · no lines in 2025
<1%82%18%
4.37
Ying Cai
4W–2L career · no lines in 2025
1%85%14%
4.35
Mark Dinh
17W–9L career · no lines in 2025
1%86%13%
4.34
Randy Becker
16W–10L career · no lines in 2025
2%92%6%
4.29
Jason Kuo
25W–7L career · no lines in 2025
4%93%4%
4.25
Mitch Hu
7W–12L career · no lines in 2025
40%60%<1%
4.04
Jason Matlof
10W–7L career · no lines in 2025
42%58%<1%
4.03
Guibin Tian
5W–6L career · no lines in 2025
43%57%<1%
4.03
4.5
Aroop Ganguly
1W–3L career · no lines in 2025
64%36%<1%
3.95
Tom Brehme
13W–11L career · no lines in 2025
79%21%<1%
3.89
Jeff Klapper
5W–4L career · no lines in 2025
80%20%<1%
3.88
Mahi DeSilva
5W–3L career · no lines in 2025
1%85%14%
3.85
Ramu Arunachalam
2W–3L 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.