Teams

WI Combo MALT 8.5 M Dundas

2022 WI Combo · WI Combo 8.5 Men

13 players · average NTRP 4.17 / WISCONSIN

View scouting list →
Schedule8 played
2022-10-18vs WI Combo MALT 8.5 M PohleLost 02
L#1 DoublesMatthew Bauman / Kevin Dunn vs Erich Palecek / Kevin Grant6-4, 3-6, 0-1
L#3 DoublesLee Taylor / Tony Zech vs Brett Gressick / Jeremy Parrish2-6, 6-3, 0-1
2022-10-11vs WI Combo MALT 8.5 M HeiligerLost 01
L#2 DoublesMichael Cerminaro / Jordan Kenik vs Daniel Heiliger / Dan Langer2-6, 1-6
2022-10-04vs WI Combo MALT 8.5 M PottsWon 20
W#1 DoublesKevin Dunn / Lee Taylor vs James Olson / Jack Williams6-3, 6-1
W#2 DoublesAndrew Dundas / Elliott Appel vs Brandon Lewis / Matthew Wright6-3, 6-1
2022-09-20vs WI Combo MALT 8.5 M HeiligerWon 20
W#2 DoublesAlex Dundas / Elliott Appel vs Dennis Sieren / Jonathan Tan6-3, 7-5
W#3 DoublesAllen Yen / Tony Zech vs Joseph Hahn / Dan Langer6-4, 6-4
2022-09-13vs WI Combo MALT 8.5 M DahlLost 02
L#2 DoublesTony Zech / Michael Cerminaro vs Alex Mory / David Seiler0-6, 1-6
L#3 DoublesGeoffrey Dang-Vu / Allen Yen vs James Dahl / Andy Berens3-6, 3-6
2022-09-06vs WI Combo MALT 8.5 M SchureWon 10
W#3 DoublesElliott Appel / Allen Yen vs Narman Antony Peter / Adam Koppenhaver6-4, 6-4
2022-08-30vs WI Combo MALT 8.5 M PohleLost 02
L#1 DoublesAndrew Dundas / Geoffrey Dang-Vu vs Nathan Kilsdonk / Jeremy Parrish4-6, 1-6
L#3 DoublesAlex Dundas / Tony Zech vs Ryan Pohle / Kevin Grant7-5, 5-7, 0-1
2022-08-16vs WI Combo Mxd MALT 8.5 CadiganSplit 11
L#1 DoublesKevin Dunn / Matthew Bauman vs Derek Hubbard / Carlos Marquez7-5, 4-6, 0-1
W#3 DoublesAlexander Carlos / Jordan Kenik vs Ken Sorge / Brian Kosobucki6-2, 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 standings7 teams · WI Combo 8.5 Men
TeamWLInd. WInd. LSets lostGames lost
1WI Combo MALT 8.5 M Dahl6216820181
2WI Combo MALT 8.5 M Schure6215922202
3WI Combo MALT 8.5 M Dundas54151226223
4WI Combo MALT 8.5 M Pohle54161128244
5WI Combo MALT 8.5 M Whiteis44141022203
6WI Combo MALT 8.5 M Heiliger45141330234
7WI Combo MALT 8.5 M Potts0902754329

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 9 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.

4.12
Lee Taylor
usually #2 Doubles 39%, also #1 Doubles 39% · published
4.03
Jordan Kenik
usually #2 Doubles 43%, also #1 Doubles 29% · 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
3.98
Brayden Parman
usually #1 Doubles 64%, also #2 Doubles 36% · published 4
3.93
Andrew Dundas
usually #2 Doubles 43%, also #1 Doubles 43% · published 4.5
3.89
Elliott Appel
usually #1 Doubles 50%, also #2 Doubles 33% · published 4
3.83
Alexander Carlos
usually #3 Doubles 100% · published 4.5
Geoffrey Dang-Vu
usually #1 Doubles 50%, also #3 Doubles 50% · published 4
3.32
Tony Zech
usually #3 Doubles 75%, also #2 Doubles 25% · published
Kevin Dunn
usually #1 Doubles 100% · published
Michael Cerminaro
usually #2 Doubles 75%, also #1 Doubles 25% · published
Samuel Rikkers
usually #2 Doubles 80%, also #1 Doubles 20% · 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.

Lee Taylor + Brayden Parman31045% games+1.6% vs expected
Alex Dundas + Alexander Carlos6551% games−0.4% vs expected
Alexander Carlos + Matthew Bauman6650% games−0.5% vs expected
Michael Cerminaro + Alexander Carlos2443% games−1.9% vs expected
Andrew Dundas + Jordan Kenik6455% games−2.6% vs expected
Alex Dundas + Michael Cerminaro3741% games−4.8% vs expected
Lee Taylor + Matthew Bauman4644% games−5.5% vs expected
Alex Dundas + Jordan Kenik5747% games−5.9% vs expected
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.

Lee Taylor
89W–105L career · 18 lines in 2022
18%82%<1%
4.12
Jordan Kenik
58W–51L career · 7 lines in 2022
42%58%<1%
4.03
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
4
Brayden Parman
106W–99L career · 11 lines in 2022
<1%56%44%
3.98
4.5
Andrew Dundas
54W–46L career · 7 lines in 2022
69%31%<1%
3.93
4
Elliott Appel
94W–58L career · 6 lines in 2022
<1%80%20%
3.89
4.5
Alexander Carlos
51W–40L career · 1 line in 2022
90%10%<1%
3.83
4
Geoffrey Dang-Vu
2W–12L career · 2 lines in 2022
not enough data
Tony Zech
56W–51L career · 4 lines in 2022
92%8%<1%
3.32
Kevin Dunn
20W–11L career · 3 lines in 2022
not enough data
Michael Cerminaro
16W–37L career · 4 lines in 2022
not enough data
Samuel Rikkers
21W–24L career · 5 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.