Teams

3BEV-ROSEN Winter 4.0 men singles sem f2

2022 SEM TEAM SINGLES - WINTER · 2022 MEN 4.0 WINTER SINGLES SEM

10 players · average NTRP 4.08 / 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 SinglesJordan Paterra vs Daniel Carlson6-3, 0-6, 1-0
L#2 SinglesJason Jirovec vs David Yang0-6, 6-6
W#3 SinglesMatthew Kaminski vs John Patry7-5, 3-4
L#1 SinglesIan Vergith vs Alex Polonsky4-6, 1-6
L#2 SinglesMonroe Chao vs Mark Marison4-6, 7-6
W#3 SinglesAaron Rosen vs Chris Hennessy6-7, 6-2, 1-0
W#1 SinglesJingkang Wang vs Ryan Sankovic6-3, 7-5
L#2 SinglesMatthew Kaminski vs Robert Cupples6-1, 3-6, 0-1
L#1 SinglesIan Vergith vs Surya Prakash Manepalli1-6, 3-6
L#2 SinglesStephen Duronio vs Praveen Kumar Konada5-7, 2-2
W#3 SinglesJordan Paterra vs David Jianjiang Xu6-0, 6-2
W#1 SinglesJingkang Wang vs Branden Clements6-2, 5-6
W#2 SinglesBrendan Parker vs David Yang2-6, 0-3
L#3 SinglesJordan Paterra vs Johan Mahmood1-6, 6-2
2022-02-06Split 11
L#1 SinglesJason Jirovec vs Alex Polonsky1-6, 3-6
W#2 SinglesStephen Duronio vs Benjamin Schmitter6-2, 6-1
W#1 SinglesIan Vergith vs HAN UL LEE1-6, 6-1, 1-0
W#2 SinglesBrendan Parker vs Robert Cupples6-3, 6-2
L#3 SinglesMonroe Chao vs David Klungle6-3, 1-6, 0-1
W#1 SinglesJordan Paterra vs WON YONG HWANG6-1, 6-1
W#2 SinglesAllan Zamierowski vs Benjamin Bartlett7-6, 5-2
W#3 SinglesBrendan Parker vs David Jianjiang Xu6-1, 6-2
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 standings8 teams · 2022 MEN 4.0 WINTER SINGLES SEM
TeamWLInd. WInd. LSets lostGames lost
11FAC-MAHMOOD Winter 4.0 men singles sem f26216818170
23BEV-ROSEN Winter 4.0 men singles sem f26215921187
33CHIP-DOUGLASS Winter 4.0 men singles sem f15115313121
44BLOOM-MANEPALLI Winter 4.0 men singles sem f253111323189
54HV-CLARKE Winter 4.0 men singles sem f13371123150
62PEACH-CUPPLES Winter 4.0 men singles sem f226111331226
71LIB-LEE Winter 4.0 men singles sem f11551326181
85DEER-ARENS Winter 4.0 men singles sem f21771734237

Ordered by team wins, then losses, then sets lost — the order USTA uses to seed a flight. Individual wins are lines, not ties.

See the full flight, with every team’s record

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 3.90 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.

4.17
Jingkang Wang
usually #1 Singles 100% · published
4.10
Jordan Paterra
usually #1 Singles 50%, also #3 Singles 50% · published 4.5
3.89
Allan Zamierowski
usually #2 Singles 100% · published 4
3.77
Matthew Kaminski
usually #2 Singles 50%, also #3 Singles 50% · published
3.77
Aaron Rosen
usually #3 Singles 100% · published 4
Brendan Parker
usually #2 Singles 67%, also #3 Singles 33% · published 4
Ian Vergith
usually #1 Singles 100% · published 4
3.67
Jason Jirovec
usually #1 Singles 50%, also #2 Singles 50% · published 4
Monroe Chao
usually #3 Singles 50%, also #2 Singles 50% · published
Stephen Duronio
usually #2 Singles 100% · 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.

Allan Zamierowski + Aaron Rosen6552% games+2.5% vs expected
Aaron Rosen + Matthew Kaminski7261% gamesnot enough data
Jordan Paterra + Matthew Kaminski134 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.

Jingkang Wang
83W–38L career · 2 lines in 2022
9%90%1%
4.17
4.5
Jordan Paterra
64W–57L career · 4 lines in 2022
21%79%<1%
4.10
4
Allan Zamierowski
51W–38L career · 1 line in 2022
<1%79%21%
3.89
Matthew Kaminski
67W–36L career · 2 lines in 2022
2%94%4%
3.77
4
Aaron Rosen
63W–29L career · 1 line in 2022
2%94%4%
3.77
4
Brendan Parker
21W–27L career · 3 lines in 2022
not enough data
4
Ian Vergith
23W–13L career · 3 lines in 2022
not enough data
4
Jason Jirovec
57W–31L career · 2 lines in 2022
10%90%1%
3.67
Monroe Chao
11W–9L career · 2 lines in 2022
not enough data
Stephen Duronio
8W–6L career · 2 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.