Teams

1BEV-UHLAR 45M 18&O AD WED SEM F3

2022 SEM ADULT 18 & OVER NIGHT MEN · 4.5 MEN WED PM SEM

22 players · average NTRP 4.43 / S.E. MICHIGAN

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 →
Schedule8 played
W#1 DoublesEric Podgorny / Christopher Mikoliczeak vs Praveen Kumar Konada / Steven Millard6-3, 7-6
W#1 SinglesMichael Trupiano vs Rohit Srinath7-5, 6-1
L#2 SinglesZACHARY ONG vs Jason Joo1-6, 0-6
W#1 DoublesXiaoqiang Li / Thomas Warnicke vs Jonathan Martin / Matthew Raftis6-2, 6-4
L#1 SinglesZACHARY ONG vs Daniel Kinsley7-6, 6-7, 0-1
L#2 DoublesCarter Freeman / Samit Shah vs Narihiro Agusa / Koya Hasegawa3-6, 4-6
L#3 DoublesAllan Zamierowski / Aaron Rosen vs Yasuhiro Okura / Nan Jiang5-7, 4-6
L#1 DoublesChristopher Mikoliczeak / Brian Wayne vs Brad Kerin / Kevin Madden4-6, 7-6, 1-0
W#1 SinglesXiaoqiang Li vs Mckenzie Walsh7-6, 6-3
W#2 DoublesMiles Uhlar / Eric Podgorny vs Trenton Townsend / Kevin LaFay6-1, 6-2
W#2 SinglesBen Shapiro vs Noah Gedrimas6-1, 6-3
W#3 DoublesCarter Freeman / Allan Zamierowski vs Gary Jessee / Steven Arens6-3, 3-6, 1-0
2022-06-22vs 6NAC-WEST 45M 18&O AD WED SEM F3Won 41
W#1 DoublesThomas Warnicke / Tom Aubrey vs Maxx Anderson / William Bell4-6, 6-3, 1-0
W#1 SinglesZACHARY ONG vs Gilles Carnoy7-6, 6-3
W#2 DoublesSamit Shah / Robert Nagle vs Evan West / Matt Wheatley3-6, 6-2, 1-0
W#2 SinglesXiaoqiang Li vs Jordan Parrish6-3, 7-5
L#3 DoublesMiles Uhlar / Ben Shapiro vs Jeff Topoleski / Matthew Mitchell3-6, 7-5, 0-1
W#1 DoublesTom Aubrey / Sumit Singla vs Steven Millard / Myles Geloneck6-2, 6-0
L#1 SinglesXiaoqiang Li vs Jason Joo6-4, 0-6, 0-1
W#2 DoublesJack Parks / Robert Nagle vs Surya Prakash Manepalli / Praveen Kumar Konada4-6, 6-4, 1-0
L#2 SinglesKavya Desai vs Rohit Srinath6-2, 6-7, 0-1
W#3 DoublesMiles Uhlar / Ben Shapiro vs Lee Winston-Galant / Sainath Lachhireddygari6-4, 4-6, 1-0
W#1 DoublesThomas Warnicke / Sumit Singla vs Tsuyoshi Kurosawa / Narihiro Agusa6-0, 2-6, 1-0
W#1 SinglesKavya Desai vs Jonathan Martin6-0, 4-6, 1-0
W#2 DoublesRobert Nagle / Xiaoqiang Li vs Daniel Kinsley / Matthew Raftis7-5, 7-6
L#2 SinglesZACHARY ONG vs Yu Wang6-7, 4-6
W#3 DoublesMiles Uhlar / Ben Shapiro vs Nan Jiang / Koya Hasegawa7-6, 6-4
W#1 DoublesThomas Warnicke / Brian Wayne vs Mckenzie Walsh / Gary Jessee6-2, 6-3
W#1 SinglesMichael Trupiano vs Trenton Townsend7-5, 6-3
W#2 DoublesXiaoqiang Li / Tom Aubrey vs Kevin Madden / Brad Kerin6-2, 6-2
L#2 SinglesBen Shapiro vs Noah Gedrimas1-6, 6-2, 1-0
L#3 DoublesMiles Uhlar / Samit Shah vs Steven Arens / Joshua Lattie5-7, 6-2, 0-1
2022-05-18vs 6NAC-WEST 45M 18&O AD WED SEM F3Won 50
W#1 DoublesBrian Wayne / Samit Shah vs Gregg Anderson / Eric Mitchell6-4, 6-1
W#1 SinglesNikolas Gruskin vs Jeff Topoleski6-2, 6-3
W#2 DoublesPaul Villalba / Christopher Mikoliczeak vs Matthew Mitchell / Michael Craig6-3, 6-4
W#2 SinglesXiaoqiang Li vs Johan Mahmood6-3, 7-6
W#3 DoublesSumit Singla / Robert Nagle vs Evan West / Jake Lachowicz6-3, 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 4.5 MEN WED PM SEM 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 4.13 estimated across 11 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.

4.49
Eric Podgorny
usually #2 Doubles 63%, also #1 Doubles 25% · published 5
4.39
Kavya Desai
usually #1 Singles 50%, also #2 Singles 50% · published
4.27
Xiaoqiang Li
usually #2 Doubles 29%, also #1 Singles 29% · published
4.26
Michael Trupiano
usually #1 Singles 100% · published
Brian Wayne
published 4.5
Carter Freeman
usually #2 Doubles 50%, also #3 Doubles 50% · published 4.5
4.24
Ben Shapiro
usually #3 Doubles 60%, also #2 Singles 40% · published 4.5
4.16
Miles Uhlar
usually #3 Doubles 80%, also #2 Doubles 20% · published 4.5
4.09
Sumit Singla
usually #1 Doubles 67%, also #3 Doubles 33% · published
4.04
Tom Aubrey
usually #1 Doubles 67%, also #2 Doubles 33% · published
3.89
Allan Zamierowski
usually #2 Doubles 50%, also #3 Doubles 33% · published 4
3.87
Robert Nagle
usually #2 Doubles 75%, also #3 Doubles 25% · published
3.77
Aaron Rosen
usually #2 Doubles 50%, also #3 Doubles 50% · published 4
Christopher Mikoliczeak
usually #1 Doubles 67%, also #2 Doubles 33% · published
John Newman
usually #1 Doubles 83%, also #2 Doubles 17% · published
Nick Shaheen
published
Nikolas Gruskin
usually #1 Singles 100% · published
Paul Villalba
usually #2 Doubles 100% · published
Ricky Warnicke
published
Samit Shah
usually #2 Doubles 50%, also #1 Doubles 25% · published
Thomas Warnicke
usually #1 Doubles 100% · published
ZACHARY ONG
usually #2 Singles 50%, also #1 Singles 50% · 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.

Paul Villalba + Christopher Mikoliczeak11358% games+4.0% vs expected
Allan Zamierowski + Aaron Rosen6552% games+2.5% vs expected
Miles Uhlar + Samit Shah4256% games+0.2% vs expected
Miles Uhlar + Xiaoqiang Li6454% games−0.1% vs expected
Miles Uhlar + Tom Aubrey3845% games−14.3% vs expected
Thomas Warnicke + Ricky Warnicke5258% gamesnot enough data
Miles Uhlar + Robert Nagle2542% gamesnot enough data
Eric Podgorny + Christopher Mikoliczeak3349% gamesnot 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.

5
Eric Podgorny
66W–65L career · 8 lines in 2022
53%47%<1%
4.49
Kavya Desai
5W–5L career · 2 lines in 2022
<1%80%20%
4.39
Xiaoqiang Li
110W–63L career · 7 lines in 2022
2%94%4%
4.27
Michael Trupiano
23W–12L career · 2 lines in 2022
2%94%3%
4.26
4.5
Brian Wayne
17W–11L career · no lines in 2022
not enough data
4.5
Carter Freeman
13W–9L career · 2 lines in 2022
not enough data
4.5
Ben Shapiro
14W–13L career · 5 lines in 2022
3%94%2%
4.24
4.5
Miles Uhlar
94W–72L career · 5 lines in 2022
12%88%<1%
4.16
Sumit Singla
11W–2L career · 3 lines in 2022
24%76%<1%
4.09
Tom Aubrey
39W–29L career · 3 lines in 2022
38%62%<1%
4.04
4
Allan Zamierowski
51W–38L career · 6 lines in 2022
<1%79%21%
3.89
Robert Nagle
103W–71L career · 4 lines in 2022
<1%84%15%
3.87
4
Aaron Rosen
63W–29L career · 4 lines in 2022
2%94%4%
3.77
Christopher Mikoliczeak
32W–13L career · 3 lines in 2022
not enough data
John Newman
44W–32L career · 6 lines in 2022
not enough data
Nick Shaheen
7W–5L career · no lines in 2022
not enough data
Nikolas Gruskin
1W–0L career · 1 line in 2022
not enough data
Paul Villalba
14W–6L career · 1 line in 2022
not enough data
Ricky Warnicke
14W–5L career · no lines in 2022
not enough data
Samit Shah
43W–20L career · 4 lines in 2022
not enough data
Thomas Warnicke
42W–8L career · 4 lines in 2022
not enough data
ZACHARY ONG
6W–15L career · 4 lines in 2022
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.