Wisco Womens

# SchoolTeam A B TOT
1 University of Wisconsin University of Wisconsin Honey Badgers 1 19 17 36
2 Marquette University Marquette University Golden Eagles 31 32 63
3 Northwestern University Northwestern University Wildcats 16 61 77
4 University of Michigan University of Michigan Wolverines 68 19 87
5 Purdue University Purdue University Boilermakers 51 43 94
6 University of Wisconsin University of Wisconsin Honey Badgers 2 63 44 107
7 Indiana University Indiana University Hoosiers 1 42 85 127
8 University of Illinois University of Illinois Illini 70 66 136
9 Indiana University Indiana University Hoosiers 2 90 76 166
SchoolTeam R1 R2 R3 R4 R5 R6 R7 R8 R9 R10 TOT Sailors
Northwestern University Northwestern University Wildcats 1 3 3 1 1 2 2 1 1 1 16 Delaney Smith '26
Maddie Fitzgerald '26
University of Wisconsin University of Wisconsin Honey Badgers 1 2 1 1 2 3 1 1 3 3 2 19 Mary Castellini '25
Emma Komis '26
Marquette University Marquette University Golden Eagles 3 5 2 3 4 3 3 2 2 4 31 Brittany Shabino '25
Eva Paschke '25
Indiana University Indiana University Hoosiers 1 5 2 5 6 2 6 4 5 4 3 42 Nithya Balachander '25 [1-10]
Katherine Naughton '24 [1-2, 6-10]
Rachel Pognany '26 [3-5]
Purdue University Purdue University Boilermakers 4 4 6 4 6 5 5 6 5 6 51 Nok In Chan '24 [1-5, 8-10]
Kailyn Merkle '26 [6-7]
Kailyn Merkle '26 [1-5, 8-10]
Nok In Chan '24 [6-7]
University of Wisconsin University of Wisconsin Honey Badgers 2 8 7 7 7 8 4 7 4 6 5 63 Annabel Bridges '23
Mary Daniels '24
University of Michigan University of Michigan Wolverines 7 8 4 5 7 7 8 7 7 8 68 Katherine Simcoe '26
Mia Bernardi '26
University of Illinois University of Illinois Illini 6 6 8 8 5 8 6 8 8 7 70 Molly Sheridan '25
Anne Farah Usman '24
Indiana University Indiana University Hoosiers 2 9 9 9 9 9 9 9 9 9 9 90 Taylor Longhitano '23 [1-7]
Delaynie Grove '24 [8-10]
Delaynie Grove '24 [1-2, 6-7]
Abby Brown '22 [3-5]
Taylor Longhitano '23 [8-10]
SchoolTeam R1 R2 R3 R4 R5 R6 R7 R8 R9 R10 TOT Sailors
University of Wisconsin University of Wisconsin Honey Badgers 1 1 2 1 1 2 1 BKD 1 2 4 17 Claire Considine '23
Ellie Murphy '24
University of Michigan University of Michigan Wolverines 4 1 2 2 1 2 1 2 1 3 19 Nicole Giuliani '24
Alexis Mountford '25
Marquette University Marquette University Golden Eagles 2 4 3 4 3 3 3 5 3 2 32 Jenna Kozal '24
Frannie Lambie '23
Purdue University Purdue University Boilermakers 3 9 5 3 4 4 2 3 5 5 43 Camille Imbler '25
Hadley Zeller '26
University of Wisconsin University of Wisconsin Honey Badgers 2 6 6 4 5 5 5 4 4 4 1 44 Sydney Mandell '26
Kerstin Hyer '25
Northwestern University Northwestern University Wildcats 5 3 6 7 7 6 7 8 6 6 61 Jenna Spray '22 [1-10]
Millie Rose Taub '26 [1-7]
Sydney Leon '26 [8-10]
University of Illinois University of Illinois Illini 8 5 7 6 6 7 6 6 8 7 66 Bahda Hoang '23
No Show
Indiana University Indiana University Hoosiers 2 7 7 9 9 9 8 5 7 7 8 76 Julia Grumbling '26 [1-10]
Anya Gustafson '25 [1-5, 8-10]
Abby Brown '22 [6-7]
Indiana University Indiana University Hoosiers 1 9 8 8 8 8 9 8 9 9 9 85 Sammy Stoeber '24 [1-10]
Fiona Naughton '26 [1-5]
Rachel Pognany '26 [6-10]
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

Team1A2A3A4A5A6A7A8A9A10A
University of IllinoisUniversity of Illinois Illini6688811333
Indiana UniversityIndiana University Hoosiers 11133355777
Indiana UniversityIndiana University Hoosiers 22244466888
Marquette UniversityMarquette University Golden Eagles3355577999
University of MichiganUniversity of Michigan Wolverines7799922444
Northwestern UniversityNorthwestern University Wildcats4466688111
Purdue UniversityPurdue University Boilermakers5577799222
University of WisconsinUniversity of Wisconsin Honey Badgers 18811133555
University of WisconsinUniversity of Wisconsin Honey Badgers 29922244666

Division B

Team1B2B3B4B5B6B7B8B9B10B
University of IllinoisUniversity of Illinois Illini7799922444
Indiana UniversityIndiana University Hoosiers 12244466888
Indiana UniversityIndiana University Hoosiers 23355577999
Marquette UniversityMarquette University Golden Eagles4466688111
University of MichiganUniversity of Michigan Wolverines8811133555
Northwestern UniversityNorthwestern University Wildcats5577799222
Purdue UniversityPurdue University Boilermakers6688811333
University of WisconsinUniversity of Wisconsin Honey Badgers 19922244666
University of WisconsinUniversity of Wisconsin Honey Badgers 21133355777

Conditions — 10/22/2022 (8am–6pm)

☀️Clear sky
Humidity 54%  ·  Pressure 1005.6 hPa

Temperature

67°F
↑ 73°F   ↓ 55°F
Feels like 63°F

Wind

● from   ▲ toward
10.2 kn
avg  ·  max 11.1 kn
Gusts to 22.0 kn
From S (177°)

Sky & Precipitation

Cloud cover0% Sunshine10.6 hrs Humidity54% Pressure1005.6 hPa

Orderliness — underdogs or favourites?

Breeze: S 12 kn · SE 12 kn (scorer’s report)
In this breeze at Wisconsin: a strongly favourites’ day (+0.23)
Back the top seeds: results should follow the ratings, and the gaps between favourites hold.
Fleet adjustment +0.07 (a softer or greener fleet makes the ratings stick) · combined forecast +0.30
Actual: a strongly favourites’ day (+0.58 ± 0.13)

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 ±0.23 means a rating gap counts about 20% 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 →