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Wisco Women's

Analysis
# SchoolTeam A B TOT
1 University of Wisconsin University of Wisconsin Badgers 14 11 25
2 University of Michigan University of Michigan Wolverines 1 20 14 34
3 Northwestern University Northwestern University Wildcats 18 28 46
4 University of Michigan University of Michigan Wolverines 2 20 26 46
5 Marquette University Marquette University Golden Eagles 34 35 69
6 Michigan Technological University Michigan Technological University MTU Husky One 41 34 75
7 Michigan State University Michigan State University Spartans 51 48 99
SchoolTeam R1 R2 R3 R4 R5 R6 R7 TOT Sailors
University of Wisconsin University of Wisconsin Badgers 2 4 2 1 1 2 2 14 Claudia Kroll '29
Paige Kurtenbach '27
Northwestern University Northwestern University Wildcats 1 2 4 3 2 3 3 18 Grace Bray '27
Sydney Huynh '29
University of Michigan University of Michigan Wolverines 2 3 1 3 4 4 4 1 20 Katherine Starck '30
Nonie Whelan '30
University of Michigan University of Michigan Wolverines 1 4 3 1 2 5 1 4 20 Jillian Giordano '27
Annabel O'Haver '29
Marquette University Marquette University Golden Eagles 5 6 5 5 3 5 5 34 Allison Heimsch '30
Claudia Nichols '27
Michigan Technological University Michigan Technological University MTU Husky One 6 5 6 6 6 6 6 41 Hannah Monville '27 [1-4]
Astrid Myhre '28 [5-7]
Astrid Myhre '28 [1-2]
Liz Lamers '27 [3-4]
Hannah Monville '27 [5-7]
Michigan State University Michigan State University Spartans DNF DNF 7 7 7 7 7 51 Sydney Woodard '29
Addison Koss '29
SchoolTeam R1 R2 R3 R4 R5 R6 R7 TOT Sailors
University of Wisconsin University of Wisconsin Badgers 2 2 1 1 1 1 3 11 Brielle Douglas '30
Katherine Ahlquist '28
University of Michigan University of Michigan Wolverines 1 1 1 2 5 2 2 1 14 Sabrina Maas '27
Wynne Byard '28
University of Michigan University of Michigan Wolverines 2 4 4 4 3 4 5 2 26 Sophia Delcid '29
Calistoga Frerker '28
Northwestern University Northwestern University Wildcats 6 3 3 2 6 3 5 28 Molly Connelly '30 [1-7]
Yihuan Zou '29 [1-2]
Cat Speziali '30 [3-7]
Michigan Technological University Michigan Technological University MTU Husky One 3 5 7 6 3 6 4 34 Lillian Molitor '29 [1-7]
Olivia Klevorn '27 [1-2, 5-7]
Summer Eles '29 [3-4]
Marquette University Marquette University Golden Eagles 5 6 5 4 5 4 6 35 Stella Brown '27
Sarah Etcher '27
Michigan State University Michigan State University Spartans 7 7 6 7 7 7 7 48 Lauren Sorbie '28
Maddey Rhoden '30
Boat Speed Analyzer
SlowExpected boat effectFast
−0.060+0.06
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 2017 (21 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

Team1A2A3A4A5A6A7A
Marquette UniversityMarquette University Golden Eagles33668811
University of MichiganUniversity of Michigan Wolverines 1881111447
University of MichiganUniversity of Michigan Wolverines 2101033668
Michigan State UniversityMichigan State University Spartans447710103
Michigan Technological UniversityMichigan Technological University MTU Husky One668811114
Northwestern UniversityNorthwestern University Wildcats771010336
University of WisconsinUniversity of Wisconsin Badgers1111447710

Division B

Team1B2B3B4B5B6B7B
Marquette UniversityMarquette University Golden Eagles447710103
University of MichiganUniversity of Michigan Wolverines 1101033668
University of MichiganUniversity of Michigan Wolverines 21111447710
Michigan State UniversityMichigan State University Spartans668811114
Michigan Technological UniversityMichigan Technological University MTU Husky One771010336
Northwestern UniversityNorthwestern University Wildcats881111447
University of WisconsinUniversity of Wisconsin Badgers33668811

Conditions — 10/10/2026 (8am–6pm)

☀️Clear sky
Humidity 51%  ·  Pressure 1014.6 hPa

Temperature

74°F
↑ 84°F   ↓ 58°F
Feels like 71°F

Wind

● from   ▲ toward
9.9 kn
avg  ·  max 12.8 kn
Gusts to 24.3 kn
From S (175°)

Sky & Precipitation

Cloud cover0% Sunshine10.2 hrs Humidity51% Pressure1014.6 hPa

Orderliness — underdogs or favourites?

Breeze: no wind record for this regatta; the venue average is used
In this breeze at Wisconsin: a strongly favourites’ day (+0.15)
Back the top seeds: results should follow the ratings, and the gaps between favourites hold.
Fleet adjustment +0.13 (a softer or greener fleet makes the ratings stick) · combined forecast +0.28
Actual: about typical, within noise (+0.19 ± 0.20)

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 ±0.15 means a rating gap counts about 13% 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 Wisconsin by wind direction (angle) and speed (rings), fitted surface; dots are labelled regatta-days, ★ this regatta (41 labelled days at Wisconsin).

From the notes

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

All notes →