Teams

Hilliard 3.5M Fall Singles Thurs PM

2025 Piedmont Fall Singles · 3.5 Men Fall Singles Thurs PM

6 players · average NTRP 3.50 / NORTH CAROLINA

View scouting list →
Schedule8 played
W#1 SinglesRobert Lynch vs Ian Myers6-0, 6-1
W#2 SinglesDiego Waegeli vs Alec Kiser6-1, 6-0
L#1 SinglesChris Hanger vs Benjamin Rainwater5-7, 3-6
L#2 SinglesRyan Hilliard vs William Lipp6-2, 6-7, 0-1
2025-10-02vs Steimle 3.5M Fall Singles Thurs PMSplit 11
W#1 SinglesSeungil Park vs Andrew Supple7-5, 6-3
L#2 SinglesChris Hanger vs Alejandro Rutty4-6, 6-7
2025-09-25vs Whichard 3.5M Fall Singles Thurs PMSplit 11
W#1 SinglesFelipe Gonzalez vs Kevin Grubb6-1, 6-2
L#2 SinglesSeungil Park vs Devin White7-5
W#1 SinglesRobert Lynch vs Mike Harris6-1, 6-0
W#2 SinglesChris Hanger vs Ian Myers6-1, 6-2
L#1 SinglesDiego Waegeli vs Benjamin Rainwater2-6, 1-6
W#2 SinglesRobert Lynch vs William Deal3-6, 6-3
W#3 SinglesFelipe Gonzalez vs Mark Lineberger6-1, 6-0
L#1 SinglesFelipe Gonzalez vs Richard Fabiano5-7, 3-6
W#2 SinglesDiego Waegeli vs Alejandro Rutty4-6, 6-1, 1-0
W#3 SinglesRobert Lynch vs Garrett Klein6-1, 7-6
W#1 SinglesSeungil Park vs Kevin Grubb6-1, 7-5
W#3 SinglesChris Hanger vs Arthur Gardiner5-7, 6-1, 1-0
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 3.5 Men Fall Singles Thurs PM 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 3.42 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.

3.50
Ryan Hilliard
usually #2 Singles 100% · published
3.47
Chris Hanger
usually #2 Singles 50%, also #3 Singles 25% · published 3.5
3.46
Robert Lynch
usually #2 Singles 50%, also #1 Singles 33% · published
3.44
Diego Waegeli
usually #2 Singles 67%, also #1 Singles 33% · published 3.5
3.38
Seungil Park
usually #1 Singles 67%, also #2 Singles 33% · published
3.28
Felipe Gonzalez
usually #1 Singles 67%, also #3 Singles 33% · published 3.5
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.

Felipe Gonzalez + Diego Waegeli9561% games+19.6% vs expected
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.

Ryan Hilliard
40W–15L career · 1 line in 2025
<1%50%50%
3.50
3.5
Chris Hanger
31W–15L career · 4 lines in 2025
<1%59%41%
3.47
Robert Lynch
16W–33L career · 6 lines in 2025
<1%63%37%
3.46
3.5
Diego Waegeli
37W–9L career · 3 lines in 2025
<1%67%33%
3.44
Seungil Park
9W–9L career · 3 lines in 2025
<1%81%18%
3.38
3.5
Felipe Gonzalez
36W–13L career · 3 lines in 2025
2%94%4%
3.28

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.