Teams

WI Tri Alpha M Doubles MALT Cadigan

2024 WI Tri-Level · WI Alpha Doubles Men

10 players · average NTRP 4.42 / WISCONSIN

View scouting list →
Schedule8 played
W#1 DoublesAlex Cadigan / Ricardo Martins vs Kyle Wogahn / Owen Grafe6-7, 6-3, 1-0
2024-03-14Won 10
W#3 DoublesBob Whiteis / Scott Fuchs vs Krishna Boregowda / Pierce Jenkins7-5, 6-1
2024-03-07vs WI Tri Alpha M Doubles MALT DundasSplit 11
W#1 DoublesAlex Cadigan / Ricardo Martins vs Marius Dornhagen Schradermeier / Matthew Bauman6-2, 6-2
L#3 DoublesRobert Goetz / Scott Fuchs vs Jun Hyung Chang / Doy Kim1-6, 2-6
L#1 DoublesAlex Cadigan / Alex Mory vs Cole Lindwall / Xavier Sanga6-4, 3-6, 0-1
L#1 DoublesAlex Cadigan / Ian Pray vs Owen Grafe / Kyle Wogahn3-6, 2-6
L#3 DoublesBob Whiteis / Scott Fuchs vs Carlos Marquez / Seth Taapken2-6, 0-6
L#1 DoublesRicardo Martins / Alex Mory vs Cole Lindwall / Xavier Sanga2-6, 3-6
L#3 DoublesScott Fuchs / Daichi Hikimoto vs Joshua Howell / Hiroshi Maeda2-6, 7-5, 0-1
2024-02-08Won 20
W#1 DoublesAlex Cadigan / Ian Pray vs Justin Yee / Yingyan Wang6-3, 6-1
W#2 DoublesRicardo Martins / James Davidson vs Brayden Parman / John Bui6-2, 6-2
W#1 DoublesRicardo Martins / Alex Mory vs Jordan Kenik / Matthew Bauman6-4, 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 standings5 teams · WI Alpha Doubles Men
TeamWLInd. WInd. LSets lostGames lost
1WI Tri Alpha M Doubles MALT von Heimburg6217719211
2WI Tri Alpha M Doubles MALT Marquez6215923210
3WI Tri Alpha M Doubles MALT Cadigan44131124208
4WI Tri Alpha M Doubles MALT Dundas26101430220
5WI Tri Alpha M Doubles MALT Yee2651940267

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 4.19 estimated across 8 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.

4.48
Alex Mory
usually #1 Doubles 83%, also #2 Doubles 17% · published 4.5
4.39
Ian Pray
usually #1 Doubles 89%, also #2 Doubles 11% · published 4.5
4.38
Ricardo Martins
usually #1 Doubles 80%, also #2 Doubles 20% · published
4.27
Brian Kosobucki
usually #1 Doubles 50%, also #2 Doubles 50% · published 4.5
Alex Cadigan
usually #1 Doubles 100% · published 4.5
4.24
Daichi Hikimoto
usually #1 Doubles 56%, also #3 Doubles 33% · published 4.5
4.14
John Braxler
usually #2 Doubles 50%, also #1 Doubles 50% · published
3.82
Bob Whiteis
usually #3 Doubles 43%, also #2 Doubles 43% · published 4
3.79
Scott Fuchs
usually #3 Doubles 100% · published
Robert Goetz
usually #2 Doubles 56%, also #3 Doubles 44% · 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.

Ian Pray + Brian Kosobucki181756% games+1.8% vs expected
Scott Fuchs + Bob Whiteis4258% games+1.3% vs expected
Ricardo Martins + Ian Pray4155% games+1.1% vs expected
Alex Mory + Brian Kosobucki9460% games+0.6% vs expected
Alex Mory + Ricardo Martins3253% games−0.4% vs expected
Robert Goetz + Bob Whiteis7749% games−4.7% vs expected
Ricardo Martins + Brian Kosobucki5263% gamesnot enough data
Alex Mory + Ian Pray2352% 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.

4.5
Alex Mory
69W–23L career · 12 lines in 2024
<1%55%45%
4.48
4.5
Ian Pray
70W–43L career · 9 lines in 2024
<1%78%22%
4.39
Ricardo Martins
47W–21L career · 5 lines in 2024
<1%80%20%
4.38
4.5
Brian Kosobucki
169W–82L career · 8 lines in 2024
3%92%5%
4.27
4.5
Alex Cadigan
34W–13L career · 5 lines in 2024
not enough data
4.5
Daichi Hikimoto
40W–36L career · 9 lines in 2024
5%92%3%
4.24
John Braxler
41W–35L career · 8 lines in 2024
16%83%<1%
4.14
4
Bob Whiteis
57W–42L career · 7 lines in 2024
1%89%9%
3.82
Scott Fuchs
39W–26L career · 4 lines in 2024
2%92%6%
3.79
Robert Goetz
39W–33L career · 9 lines in 2024
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.