Teams

Bangay 40+ 3.5M Singles Mon PM

2025 Piedmont Singles 40+ · 3.5 Men Singles Mon

7 players · average NTRP 3.50 / NORTH CAROLINA

View scouting list →
Schedule7 played
2025-07-28vs Dover 40+ 3.5M Singles Mon PMLost 03
L#1 SinglesChris Sigley vs Steven Delamar3-6, 6-3, 0-1
L#2 SinglesTodd Eckle vs Bryan Bly6-7, 2-6
L#3 SinglesAdam Winkel vs Ashley Fuquay2-6, 1-6
L#1 SinglesChris Sigley vs Jason Beuchler6-7, 5-7
L#2 SinglesTodd Eckle vs Glenn Vainwright3-6, 1-3
L#1 SinglesChris Sigley vs Amos Quick4-6, 4-6
L#2 SinglesAdam Winkel vs Toni Rodriguez0-6, 1-6
L#3 SinglesTodd Eckle vs Tanvir Chodri3-6, 1-6
2025-06-23vs Dover 40+ 3.5M Singles Mon PMLost 01
L#2 SinglesAdam Winkel vs Christopher Moser3-6, 4-6
2025-06-22vs Hilliard 40+ 3.5M Singles Mon PMLost 02
L#1 SinglesTodd Eckle vs Robert Davis0-6, 1-6
L#3 SinglesVikram Penumalli vs Matthew Dunning1-6, 4-6
L#1 SinglesVikram Penumalli vs Joseph Speight3-6, 4-6
L#2 SinglesTodd Eckle vs Ryan Brevda2-6, 2-6
L#1 SinglesVikram Penumalli vs Toni Rodriguez1-6, 6-7
W#2 SinglesFelipe Gonzalez vs Tanvir Chodri6-0, 6-1
W#3 SinglesChris Sigley vs Amos Quick6-3, 6-4
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 3.5 Men Singles Mon 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 3.27 estimated across 7 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.

3.44
Diego Waegeli
published 3.5
3.39
Anthony Bangay
published 3.5
3.34
Chris Sigley
usually #1 Singles 75%, also #3 Singles 25% · published 3.5
3.29
Felipe Gonzalez
usually #2 Singles 100% · published
3.18
Todd Eckle
usually #2 Singles 60%, also #3 Singles 20% · published
3.17
Vikram Penumalli
usually #1 Singles 67%, also #3 Singles 33% · published
3.05
Adam Winkel
usually #2 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.

Chris Sigley + Diego Waegeli5165% games+20.3% vs expected
Felipe Gonzalez + Diego Waegeli9561% games+18.2% vs expected
Anthony Bangay + Felipe Gonzalez6160% games+11.0% vs expected
Chris Sigley + Felipe Gonzalez404 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.

3.5
Diego Waegeli
37W–9L career · no lines in 2025
<1%66%34%
3.44
3.5
Anthony Bangay
37W–9L career · no lines in 2025
<1%79%21%
3.39
3.5
Chris Sigley
53W–25L career · 4 lines in 2025
1%86%13%
3.34
Felipe Gonzalez
35W–13L career · 1 line in 2025
2%91%7%
3.29
Todd Eckle
4W–5L career · 5 lines in 2025
10%89%1%
3.18
Vikram Penumalli
10W–11L career · 3 lines in 2025
12%87%1%
3.17
3.5
Adam Winkel
8W–9L career · 3 lines in 2025
37%63%<1%
3.05

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.