Teams

Fung - RPM

2025 Montgomery Singles · Montgomery Singles 3.5 Men

8 players · average NTRP 3.75 / MARYLAND

View scouting list →
Schedule8 played
2025-09-13vs Cebulash - Who Is We? EvolutionWon 10
W#1 SinglesMatthew Bent vs Taylor Murphy6-2, 4-6, 1-0
2025-09-02vs Liang - Just for FunWon 10
W#1 SinglesMatthew Bent vs Gautam Sen6-3, 6-0
2025-08-27vs Takiar - Blazing Dodgers SinglesWon 21
L#1 SinglesPeter Zhu vs Ali Hamdani2-6, 2-6
W#2 SinglesZeyang Shen vs Renato Damas6-4, 6-6
W#3 SinglesLouis Fung vs Avahrom Siegel6-3, 6-3
2025-08-22vs Iancu - Single ShotsWon 10
W#1 SinglesHanlun Song vs Florin Iancu6-2, 6-2
2025-08-06vs Liang - Just for FunWon 30
W#1 SinglesPing-Jung Liu vs Chung-Kai Hsiao6-0, 6-0
W#2 SinglesKameron Hnath vs Wei Fu6-3, 6-1
W#3 SinglesLouis Fung vs Bo Liang6-1, 6-1
2025-08-02vs Sanchez - Los DodgersSplit 11
W#1 SinglesMatthew Bent vs Jarey Wang7-5, 6-4
L#2 SinglesHanlun Song vs Myles Baldwin7-6, 0-3
2025-07-18vs Iancu - Single ShotsWon 30
W#1 SinglesPeter Zhu vs Tanzid Shams6-3, 3-6, 1-0
W#2 SinglesLouis Fung vs Chris Odell5-7, 5-3, 1-0
W#3 SinglesZeyang Shen vs Maury Baskin6-3, 6-3
2025-07-09vs Cebulash - Who Is We? EvolutionLost 01
L#1 SinglesHanlun Song vs Jesse Cebulash2-6, 5-4
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 Montgomery Singles 3.5 Men 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 3.50 estimated across 6 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.

3.83
Hanlun Song
usually #2 Singles 67%, also #1 Singles 33% · published 3.5
3.71
Matthew Bent
usually #1 Singles 100% · published 4
3.51
Louis Fung
usually #3 Singles 67%, also #2 Singles 33% · published
3.45
Peter Zhu
usually #1 Singles 67%, also #2 Singles 33% · published
3.35
Jun Hee Kim
published
3.16
Kameron Hnath
usually #2 Singles 100% · published
Ping-Jung Liu
usually #1 Singles 100% · published
Zeyang Shen
usually #3 Singles 50%, also #2 Singles 50% · published
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.

3.5
Hanlun Song
160W–45L career · 6 lines in 2025
<1%1%99%
3.83
4
Matthew Bent
58W–23L career · 3 lines in 2025
5%94%1%
3.71
Louis Fung
21W–8L career · 3 lines in 2025
<1%47%53%
3.51
Peter Zhu
14W–10L career · 3 lines in 2025
<1%64%36%
3.45
Jun Hee Kim
12W–10L career · no lines in 2025
<1%87%12%
3.35
Kameron Hnath
10W–17L career · 1 line in 2025
11%89%<1%
3.16
Ping-Jung Liu
1W–2L career · 1 line in 2025
not enough data
Zeyang Shen
2W–0L career · 2 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.