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Pere Marquette

# SchoolTeam A B TOT
1 University of Notre Dame University of Notre Dame Fighting Irish 22 9 31
2 University of Michigan University of Michigan Wolverines 12 26 38
3 Marquette University Marquette University Golden Eagles 1 30 28 58
4 Michigan Technological University Michigan Technological University MTU Husky One 39 30 69
5 Purdue University Purdue University Boilermakers 42 30 72
6 University of Wisconsin University of Wisconsin Badgers 25 49 74
7 Marquette University Marquette University Golden Eagles 2 54 52 106
SchoolTeam R1 R2 R3 R4 R5 R6 R7 R8 TOT Sailors
University of Michigan University of Michigan Wolverines 1 1 1 2 1 2 1 3 12 Graham Rebain '29
Ruby Davies '28
University of Notre Dame University of Notre Dame Fighting Irish 3 2 4 4 3 3 2 1 22 Payden Pittman '28
Jack O'Connor '26
University of Wisconsin University of Wisconsin Badgers 2 4 2 3 2 4 3 5 25 Caden Harrison '28
Sam Burnet '29
Marquette University Marquette University Golden Eagles 1 4 5 5 1 4 1 6 4 30 Brian Zettlemoyer '27 [1-8]
Stella Brown '27 [1-6]
Paula Sotomayor '29 [7-8]
Michigan Technological University Michigan Technological University MTU Husky One 6 3 6 6 7 5 4 2 39 Casey Dietsch '26 [1-8]
Gavin Parsons '28 [1-2, 5-6]
Stella Porreca '29 [3-4, 7-8]
Purdue University Purdue University Boilermakers 5 6 3 5 5 7 5 6 42 Silas Hokanson '26
Jackson Goehle '28
Marquette University Marquette University Golden Eagles 2 7 7 7 7 6 6 7 7 54 John Riordan '26 [1-8]
Charles Reynaert '28 [1-6]
Ally Younkin '26 [7-8]
SchoolTeam R1 R2 R3 R4 R5 R6 R7 R8 TOT Sailors
University of Notre Dame University of Notre Dame Fighting Irish 1 1 2 1 1 1 1 1 9 Michael Cyrul '28 [1-8]
John Sullivan '26 [1-6]
Alejandro Ceron '27 [7-8]
University of Michigan University of Michigan Wolverines 3 2 5 5 2 5 2 2 26 Glen Warren '26
Madison Sweet '27
Marquette University Marquette University Golden Eagles 1 5 3 1 2 4 4 4 5 28 Kai Suh '29 [1-6]
Benjamin Karle '28 [7-8]
Charlie Herman '28 [1-6]
Sarah Etcher '27 [7-8]
Purdue University Purdue University Boilermakers 2 4 3 3 5 3 6 4 30 Henrik Stjernfeldt '27 [1-8]
Shivani Jambunathan '29 [1-2, 5-6]
Yuanxin Liu '26 [3-4, 7-8]
Michigan Technological University Michigan Technological University MTU Husky One 4 5 4 6 3 2 3 3 30 Alex Cross '28 [1-8]
Isabel Cross '28 [1-2, 5-6]
Kaylie Simpson '28 [3-4, 7-8]
University of Wisconsin University of Wisconsin Badgers 7 7 6 4 7 6 5 7 49 Morris Salzmann '29 [1-8]
Roman Dentice-Cagle '28 [1-2, 5-8]
Cansin Ozsoy '26 [3-4]
Marquette University Marquette University Golden Eagles 2 6 6 7 7 6 7 7 6 52 Gabrielle Mccall '28 [1-6]
Humbert Wirtz Jr. '27 [7-8]
Ava Bradd '26 [1-6]
Claudia Nichols '27 [7-8]
Boat Speed Analyzer
SlowExpected boat effectFast
−0.140+0.14
Places per race a team should expect to gain or lose in this boat against what its sailors' ratings predict, from a model of this fleet fitted on every regatta sailed here since Fall 2013 (18 regattas). Shown at the 40% that holds up on regattas the model never saw; hover a sail for its value and uncertainty. Grey = boat not in the fit. How this is estimated.

Division A

Team1A2A3A4A5A6A7A8A
Marquette UniversityMarquette University Golden Eagles 1668810101212
Marquette UniversityMarquette University Golden Eagles 27799111166
University of MichiganUniversity of Michigan Wolverines101012127799
Michigan Technological UniversityMichigan Technological University MTU Husky One881010121277
University of Notre DameUniversity of Notre Dame Fighting Irish111166881010
Purdue UniversityPurdue University Boilermakers9911116688
University of WisconsinUniversity of Wisconsin Badgers121277991111

Division B

Team1B2B3B4B5B6B7B8B
Marquette UniversityMarquette University Golden Eagles 17799111166
Marquette UniversityMarquette University Golden Eagles 2881010121277
University of MichiganUniversity of Michigan Wolverines111166881010
Michigan Technological UniversityMichigan Technological University MTU Husky One9911116688
University of Notre DameUniversity of Notre Dame Fighting Irish121277991111
Purdue UniversityPurdue University Boilermakers101012127799
University of WisconsinUniversity of Wisconsin Badgers668810101212
School / Team SkipperCrew
Marquette University Marquette University Brian Zettlemoyer '27 [1-8] Stella Brown '27 [1-6]
Paula Sotomayor '29 [7-8]
Golden Eagles 1 Kai Suh '29 [1-6]
Benjamin Karle '28 [7-8]		 Charlie Herman '28 [1-6]
Sarah Etcher '27 [7-8]
Marquette University Marquette University John Riordan '26 [1-8] Charles Reynaert '28 [1-6]
Ally Younkin '26 [7-8]
Golden Eagles 2 Gabrielle Mccall '28 [1-6]
Humbert Wirtz Jr. '27 [7-8]		 Ava Bradd '26 [1-6]
Claudia Nichols '27 [7-8]
Michigan Technological University Michigan Technological University Casey Dietsch '26 [1-8] Gavin Parsons '28 [1-2, 5-6]
Stella Porreca '29 [3-4, 7-8]
MTU Husky One Alex Cross '28 [1-8] Isabel Cross '28 [1-2, 5-6]
Kaylie Simpson '28 [3-4, 7-8]
Purdue University Purdue University Silas Hokanson '26 Jackson Goehle '28
Boilermakers Henrik Stjernfeldt '27 [1-8] Shivani Jambunathan '29 [1-2, 5-6]
Yuanxin Liu '26 [3-4, 7-8]
University of Michigan University of Michigan Graham Rebain '29 Ruby Davies '28
Wolverines Glen Warren '26 Madison Sweet '27
University of Notre Dame University of Notre Dame Payden Pittman '28 Jack O'Connor '26
Fighting Irish Michael Cyrul '28 [1-8] John Sullivan '26 [1-6]
Alejandro Ceron '27 [7-8]
University of Wisconsin University of Wisconsin Caden Harrison '28 Sam Burnet '29
Badgers Morris Salzmann '29 [1-8] Roman Dentice-Cagle '28 [1-2, 5-8]
Cansin Ozsoy '26 [3-4]

Conditions — 09/27/2025 (8am–6pm)

☀️Clear sky
Humidity 71%  ·  Pressure 1009.1 hPa

Temperature

63°F
↑ 69°F   ↓ 53°F
Feels like 60°F

Wind

● from   ▲ toward
8.2 kn
avg  ·  max 13.8 kn
Gusts to 26.8 kn
From WNW (287°)

Sky & Precipitation

Cloud cover28% Sunshine10.0 hrs Humidity71% Pressure1009.1 hPa

Orderliness — underdogs or favourites?

Breeze: NW 8 kn · SW 9 kn (weather reanalysis in the scorer’s units)
In this breeze at Marquette: a favourites’ day (+0.03)
Back the top seeds: results should follow the ratings, and the gaps between favourites hold.
Fleet adjustment +0.08 (a softer or greener fleet makes the ratings stick) · combined forecast +0.10
Actual: a strongly favourites’ day (+0.36 ± 0.17)

Orderliness is how tightly the finishing order followed the pre-regatta ratings, relative to a typical event (0). Positive is the favourites’ day: the ratings carried more weight than usual and the top seeds finished where expected. Negative is the underdogs’ day: the fleet compressed and the favourites came back to the pack. A value of ±0.03 means a rating gap counts about 2% more than on a typical day.

The breeze reading is the chart’s value at this regatta’s wind direction and speed (the star): this venue’s pattern of which directions bring order and which bring upsets, with breeze generally orderly and light air surprising. The fleet adjustment comes from the entry list: the stronger and more experienced the fleet, the more surprising the racing. How this is estimated · compare venues.

Orderliness beyond the fleet at Marquette by wind direction (angle) and speed (rings), fitted surface; dots are labelled regatta-days, ★ this regatta (only 13 labelled days at Marquette, so the surface is mostly the all-venue pattern).

From the notes

Short write-ups of what the ratings and results show, with the numbers and how they were computed.

All notes →