Teams

WI Combo MALT 9.5 M Encell

2022 WI Combo · WI Combo 9.5 Men

10 players · average NTRP 4.40 / WISCONSIN

View scouting list →
Schedule8 played
2022-10-03vs WI Combo MALT 9.5 M CadiganSplit 11
W#1 DoublesDuke Miller / Alexander Allon vs Kyle Wogahn / Derek Hubbard6-7, 6-2, 1-0
L#2 DoublesLee Taylor / Matthew Bauman vs Carlos Marquez / James Paradisin4-6, 7-5, 0-1
2022-10-03vs WI Combo MALT 9.5 M KosobuckiWon 21
W#1 DoublesDuke Miller / Lee Taylor vs Ian Pray / Brian Kosobucki6-2, 5-7, 1-0
W#2 DoublesAlexander Allon / Matthew Bauman vs Jeremy Heidel / William Schaefer6-2, 6-4
L#3 DoublesAlex Dundas / Hiroshi Maeda vs Devashish Joshi / James Olson6-4, 3-6, 1-0
2022-09-19vs WI Combo MALT 9.5 M CadiganLost 12
W#1 DoublesLee Taylor / Hiroshi Maeda vs Kyle Wogahn / Carter Braxton5-7, 6-4, 1-0
L#2 DoublesAlexander Allon / Lance Encell vs Tony Mirasola / John Braxler3-6, 4-6
L#3 DoublesAlex Dundas / Thomas Maire vs Marcus Medema / Carlos Marquez7-6, 6-7, 0-1
2022-09-12vs WI Combo MALT 9.5 M KosobuckiLost 12
L#1 DoublesAlex Dundas / Michael Cerminaro vs Brian Kosobucki / Ian Pray1-6, 3-6
W#2 DoublesLee Taylor / Hiroshi Maeda vs William Schaefer / James Olson6-4, 6-3
L#3 DoublesThomas Maire / Matthew Bauman vs Jeremy Heidel / Timothy Daley7-5, 2-6, 0-1
2022-09-08vs WI Combo MALT 9.5 M KosobuckiLost 12
W#1 DoublesAlexander Allon / Duke Miller vs Devashish Joshi / James Olson6-2, 6-1
L#2 DoublesBen Lipari / Michael Cerminaro vs Ian Pray / Brian Kosobucki2-6, 3-6
L#3 DoublesAlex Dundas / Lee Taylor vs Timothy Daley / Jeremy Heidel1-6, 2-6
2022-09-01vs WI Combo MALT 9.5 M CadiganLost 12
W#1 DoublesDuke Miller / Alexander Allon vs Alex Cadigan / Derek Hubbard6-4, 6-2
L#2 DoublesMatthew Bauman / Lee Taylor vs Kyle Wogahn / Marcus Medema3-6, 2-6
L#3 DoublesAlex Dundas / Hiroshi Maeda vs Tony Mirasola / Carlos Marquez2-6, 3-6
2022-08-22vs WI Combo MALT 9.5 M CadiganSplit 11
W#1 DoublesDuke Miller / Lee Taylor vs Alex Cadigan / Marcus Medema7-6, 6-4
L#2 DoublesMatthew Bauman / Thomas Maire vs Tony Mirasola / James Davidson4-6, 6-2, 0-1
2022-08-15vs WI Combo MALT 9.5 M KosobuckiLost 12
L#1 DoublesBen Lipari / Alexander Allon vs Brian Kosobucki / Ian Pray2-6, 0-6
L#2 DoublesDuke Miller / Lance Encell vs Jeremy Heidel / Timothy Daley5-7, 6-2, 0-1
W#3 DoublesMatthew Bauman / Lee Taylor vs Henry Wilde / Bob Whiteis6-7, 6-4, 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 standings3 teams · WI Combo 9.5 Men
TeamWLInd. WInd. LSets lostGames lost
1WI Combo MALT 9.5 M Kosobucki53141026208
2WI Combo MALT 9.5 M Cadigan44111330223
3WI Combo MALT 9.5 M Encell35111330223

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 4.07 estimated across 5 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.

4.25
Hiroshi Maeda
usually #3 Doubles 50%, also #2 Doubles 25% · published 4.5
Alexander Allon
usually #1 Doubles 67%, also #2 Doubles 33% · published 4.5
Ben Lipari
usually #1 Doubles 50%, also #2 Doubles 50% · published 4.5
Duke Miller
usually #1 Doubles 83%, also #2 Doubles 17% · published 4.5
4.12
Lee Taylor
usually #2 Doubles 39%, also #1 Doubles 39% · published
4.00
Alex Dundas
usually #3 Doubles 46%, also #1 Doubles 31% · published 4
4.00
Matthew Bauman
usually #2 Doubles 54%, also #3 Doubles 23% · published
3.97
Thomas Maire
usually #3 Doubles 67%, also #2 Doubles 33% · published
Lance Encell
usually #2 Doubles 50%, also #1 Doubles 25% · published
Michael Cerminaro
usually #2 Doubles 75%, also #1 Doubles 25% · 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.

Thomas Maire + Matthew Bauman3446% games+0.8% vs expected
Alex Dundas + Michael Cerminaro3741% games−4.8% vs expected
Lee Taylor + Matthew Bauman4644% games−5.5% vs expected
Lance Encell + Alexander Allon314 matchesnot enough data
Lance Encell + Hiroshi Maeda044 matchesnot enough data
Alexander Allon + Lee Taylor044 matchesnot enough data
Alexander Allon + Duke Miller404 matchesnot enough data
Michael Cerminaro + Matthew Bauman134 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.

4.5
Hiroshi Maeda
40W–33L career · 4 lines in 2022
3%95%3%
4.25
4.5
Alexander Allon
34W–33L career · 6 lines in 2022
not enough data
4.5
Ben Lipari
25W–14L career · 2 lines in 2022
not enough data
4.5
Duke Miller
11W–1L career · 6 lines in 2022
not enough data
Lee Taylor
89W–105L career · 18 lines in 2022
18%82%<1%
4.12
4
Alex Dundas
153W–143L career · 13 lines in 2022
<1%49%51%
4.00
Matthew Bauman
48W–84L career · 13 lines in 2022
49%51%<1%
4.00
Thomas Maire
20W–38L career · 3 lines in 2022
59%41%<1%
3.97
Lance Encell
68W–66L career · 4 lines in 2022
not enough data
Michael Cerminaro
16W–37L 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.