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Wisco Womens

# SchoolTeam A B TOT
1 Northwestern University Northwestern University Kitty Kats 10 16 26
2 University of Wisconsin University of Wisconsin Badgers 1 14 14 28
3 University of Wisconsin University of Wisconsin Badgers 2 29 22 51
4 Indiana University Indiana University Hoosiers 27 37 64
5 Purdue University Purdue University Boilermakers 41 42 83
6 Michigan Technological University Michigan Technological University Husky One 45 38 83
7 Lake Forest College Lake Forest College Foresters 47 48 95
8 University of Michigan University of Michigan Wolverines 68 51 119
9 University of Illinois University of Illinois Illini 57 69 126
SchoolTeam R1 R2 R3 R4 R5 R6 R7 TOT Sailors
Northwestern University Northwestern University Kitty Kats 3 1 1 1 1 2 1 10 Delaney Smith '26
Cora Star '26
University of Wisconsin University of Wisconsin Badgers 1 2 2 2 2 3 1 2 14 Mary Castellini '25
Carmen Lineer '26
Indiana University Indiana University Hoosiers 4 3 4 4 4 5 3 27 Nithya Balachander '25
Katherine Naughton '24
University of Wisconsin University of Wisconsin Badgers 2 1 DNF 3 3 2 3 7 29 Jacqueline Ruggieri '27 [1-2]
Ellena Frumiento '24 [3-7]
Lauren Bemis '26 [1-2]
Purdue University Purdue University Boilermakers 5 4 6 5 7 DNF 4 41 Nok In Chan '25 [1-7]
Hadley Zeller '26 [1-2, 6-7]
Grace Rexroth '26 [3-5]
Michigan Technological University Michigan Technological University Husky One 7 5 7 7 8 6 5 45 Katherine Sorbie '27
Harsshitha Balachander '27
Lake Forest College Lake Forest College Foresters DNF DNS 5 6 6 4 6 47 Lucia Marquez '24
Jana Bulic '24
University of Illinois University of Illinois Illini 6 6 DNF DNF 5 DNS DNS 57 Molly Sheridan '25
Roberta Kuliesiute '27
University of Michigan University of Michigan Wolverines 8 DNF DNS DNS DNS DNS DNS 68 Julia Pressman '27 [1-7]
Alexis Mountford '25 [1-2, 5-7]
Sabrina Maas '27 [3-4]
SchoolTeam R1 R2 R3 R4 R5 R6 R7 TOT Sailors
University of Wisconsin University of Wisconsin Badgers 1 1 2 1 3 2 2 3 14 Marissa Tegeder '25
Ellie Murphy '24
Northwestern University Northwestern University Kitty Kats 3 3 2 2 1 3 2 16 Marina Hutzler '23 [1-7]
Rebeca Navarro Santos Lion '25 [1-2]
Millie Rose Taub '26 [3-5]
Maddie Fitzgerald '26 [6-7]
University of Wisconsin University of Wisconsin Badgers 2 2 1 DNF 1 3 1 4 22 Sydney Mandell '26
Emma Komis '26
Indiana University Indiana University Hoosiers 7 4 6 5 4 6 5 37 Delaynie Grove '24
Anna Nappi '25
Michigan Technological University Michigan Technological University Husky One 4 5 4 6 6 5 8 38 Cecilia Dietsch '26
Olivia Klevorn '27
Purdue University Purdue University Boilermakers 5 DNF 3 4 DNF 4 6 42 Cara Brickhouse '27 [1-7]
Madison Liu '26 [1-2, 6-7]
Annette Wadley '26 [3-5]
Lake Forest College Lake Forest College Foresters DNS DNF 5 DNF 5 7 1 48 Wiktoria Pedryc '24
Guiliana Giacomini '27
University of Michigan University of Michigan Wolverines 6 6 7 7 DNF 8 7 51 Jacqueline Suarez '27
Gillian Reynolds '27
University of Illinois University of Illinois Illini DNF DNS DNS DNS DNS DNF 9 69 Grace Morby '24
Madeline Yundt '27
Boat Speed Analyzer
SlowExpected boat effectFast
−0.050+0.05
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
University of IllinoisUniversity of Illinois Illini151517171799
Indiana UniversityIndiana University Hoosiers991111111414
Lake Forest CollegeLake Forest College Foresters10101212121515
University of MichiganUniversity of Michigan Wolverines16161818181010
Michigan Technological UniversityMichigan Technological University Husky One11111414141616
Northwestern UniversityNorthwestern University Kitty Kats12121515151717
Purdue UniversityPurdue University Boilermakers14141616161818
University of WisconsinUniversity of Wisconsin Badgers 117179991111
University of WisconsinUniversity of Wisconsin Badgers 218181010101212

Division B

Team1B2B3B4B5B6B7B
University of IllinoisUniversity of Illinois Illini16161818181010
Indiana UniversityIndiana University Hoosiers10101212121515
Lake Forest CollegeLake Forest College Foresters11111414141616
University of MichiganUniversity of Michigan Wolverines17179991111
Michigan Technological UniversityMichigan Technological University Husky One12121515151717
Northwestern UniversityNorthwestern University Kitty Kats14141616161818
Purdue UniversityPurdue University Boilermakers151517171799
University of WisconsinUniversity of Wisconsin Badgers 118181010101212
University of WisconsinUniversity of Wisconsin Badgers 2991111111414

Conditions — 10/21/2023 (8am–6pm)

☀️Clear sky
Humidity 73%  ·  Pressure 1004.4 hPa

Temperature

54°F
↑ 58°F   ↓ 48°F
Feels like 47°F

Wind

● from   ▲ toward
12.7 kn
avg  ·  max 15.7 kn
Gusts to 30.9 kn
From NW (312°)

Sky & Precipitation

Cloud cover45% Sunshine8.5 hrs Humidity73% Pressure1004.4 hPa Rain0.01 in

Orderliness — underdogs or favourites?

Breeze: NW 16 kn · E 5 kn (weather reanalysis in the scorer’s units)
In this breeze at Wisconsin: a strongly favourites’ day (+0.20)
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 +0.27
Actual: about typical, within noise (+0.33 ± 0.18)

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 ±0.20 means a rating gap counts about 17% 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 →