Teams

1LIB-ATKISON 30 M FALL SINGLES SEM

2022 SEM FALL TEAM SINGLES · MEN 3.0 SINGLES SEM

12 players · average NTRP 3.36 / 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 →
Schedule7 played
W#1 SinglesMark Kanpurwala vs Ryan Fitzpatrick6-1, 6-1
W#2 SinglesDavid Sitz vs Kyle Adrianson6-0, 6-0
L#3 SinglesEric Lawson vs Mark Keezer3-6, 4-1
W#1 SinglesFrank Manley vs Aaron Work6-0, 6-3
W#2 SinglesAntony Hsu vs Brian Lucas6-1, 2-6, 1-0
W#1 SinglesMark Kanpurwala vs Andrew Shina6-4, 6-1
W#2 SinglesLonnie Shea vs Brian Krupa6-2, 6-1
W#3 SinglesDavid Sitz vs Mike Dorocak6-3, 6-3
W#1 SinglesBryce Curnin vs William Loupee6-4, 3-4
W#2 SinglesAntony Hsu vs Patrick Lee6-2, 6-5
W#3 SinglesEdward Karpiel vs Justin Chung6-3, 6-0
W#1 SinglesSam Rim vs Jeff Clark6-3, 6-1
W#2 SinglesSuk Hyun Sung vs Dogan Sumer6-1, 6-2
W#3 SinglesSteve Armstrong vs Randy Dickerman6-4, 6-0
W#1 SinglesFrank Manley vs Harvey Finkelberg6-4, 6-1
W#2 SinglesEdward Karpiel vs Craig Halseth6-4, 6-1
L#3 SinglesEric Lawson vs Thomas Lurie4-6, 4-4
W#1 SinglesSuk Hyun Sung vs Athier Thiab5-7, 4-1
W#2 SinglesSteve Armstrong vs Reimer Priester7-6, 2-1
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 · MEN 3.0 SINGLES SEM
TeamWLInd. WInd. LSets lostGames lost
11LIB-ATKISON 30 M FALL SINGLES SEM701837109
24CHIP-LOUTTS 30 M FALL SINGLES SEM5214717145
37WESS-SCHEPPER 30 M FALL SINGLES SEM43111020165
43FAC-NICOLSON 30 M FALL SINGLES SEM4312921169
58EAST-BONVENTRE 30 M FALL SINGLES SEM4391223186
65BEV-STRACHAN 30 M FALL SINGLES SEM2571424194
72EAST-MITCHELL 30 M FALL SINGLES SEM1671424191
86MONY-FITZPATRICK 30 M FALL SINGLES SEM1661533208

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 3.19 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.

3.57
Mark Kanpurwala
usually #1 Singles 100% · published 4
3.56
Frank Manley
usually #1 Singles 100% · published 4
3.49
Lonnie Shea
usually #2 Singles 100% · published
3.33
David Sitz
usually #2 Singles 50%, also #3 Singles 50% · published 3.5
2.98
Edward Karpiel
usually #2 Singles 50%, also #3 Singles 50% · published 3
2.97
Antony Hsu
usually #2 Singles 100% · published 3
Bryce Curnin
usually #1 Singles 100% · published 3
2.45
Eric Lawson
usually #3 Singles 100% · published 3
Sam Rim
usually #1 Singles 100% · published
Steve Armstrong
usually #2 Singles 50%, also #3 Singles 50% · published
Suk Hyun Sung
usually #1 Singles 50%, also #2 Singles 50% · published
Tim Atkinson
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.

Edward Karpiel + David Sitz404 matchesnot enough data
Edward Karpiel + Antony Hsu303 matchesnot enough data
Frank Manley + Mark Kanpurwala303 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.

4
Mark Kanpurwala
116W–33L career · 2 lines in 2022
30%70%<1%
3.57
4
Frank Manley
100W–46L career · 2 lines in 2022
32%68%<1%
3.56
Lonnie Shea
83W–27L career · 1 line in 2022
<1%54%46%
3.49
3.5
David Sitz
93W–31L career · 2 lines in 2022
1%90%10%
3.33
3
Edward Karpiel
49W–26L career · 2 lines in 2022
<1%57%43%
2.98
3
Antony Hsu
90W–62L career · type A · 2 lines in 2022
<1%59%41%
2.97
3
Bryce Curnin
17W–24L career · 1 line in 2022
not enough data
3
Eric Lawson
20W–78L career · 2 lines in 2022
66%34%<1%
2.45
Sam Rim
49W–15L career · 1 line in 2022
not enough data
Steve Armstrong
11W–13L career · 2 lines in 2022
not enough data
Suk Hyun Sung
9W–2L career · 2 lines in 2022
not enough data
Tim Atkinson
13W–19L career · no 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.