Navigate

Wisco Women's

# SchoolTeam A B TOT
1 University of Wisconsin University of Wisconsin Badgers 1 14 27 41
2 University of Minnesota University of Minnesota Minnesota Women 16 28 44
3 Ohio State University Ohio State University Ohio State 43 26 69
4 Northwestern University Northwestern University Wildcats 2 28 52 80
5 University of Wisconsin University of Wisconsin Badgers 2 56 25 81
6 Northwestern University Northwestern University Wildcats 1 42 50 92
7 University of Michigan University of Michigan Wolverines 34 59 93
8 Marquette University Marquette University Marquette 72 23 95
9 Michigan Technological University Michigan Technological University Husky One 74 70 144
10 University of Chicago University of Chicago Maroons 61 96 157
11 Miami University Miami University Miami University 116 MRP 103 MRP 219 MRP
SchoolTeam R1 R2 R3 R4 R5 R6 R7 R8 TOT Sailors
University of Wisconsin University of Wisconsin Badgers 1 1 1 3 1 3 2 2 1 14 Mary Cummins '11
Margaux Stutz '11
University of Minnesota University of Minnesota Minnesota Women 3 2 1 3 1 3 1 2 16 Natalie Sinn '12
Sarah Ellis '14
Northwestern University Northwestern University Wildcats 2 5 5 2 4 5 1 3 3 28 Allison Gullquist '13
Hannah Schriesheim '11
University of Michigan University of Michigan Wolverines 4 7 4 2 4 4 5 4 34 Ellen Dubois '14
Liz Smith '14
Northwestern University Northwestern University Wildcats 1 2 3 6 5 6 5 6 9 42 Sarah Hughes '11 [1-8]
Olivia Green '11 [1-4]
Vasantham Annadurai '14 [5-8]
Ohio State University Ohio State University Ohio State 6 6 5 6 2 8 4 6 43 Lauren Berk '11 [1-8]
Alyssa Singer '11 [1-4]
Rachael Yokers '11 [5-8]
University of Wisconsin University of Wisconsin Badgers 2 8 4 8 9 8 7 7 5 56 Lizzie Kunze '13
Ella Stutz '13
University of Chicago University of Chicago Maroons 9 10 7 7 7 6 8 7 61 Anna Scott '11
Alexandra Weill '11
Marquette University Marquette University Marquette 7 8 10 10 9 10 10 8 72 Colleen Mooney '12
Christine George '11
Michigan Technological University Michigan Technological University Husky One 10 9 9 8 10 9 9 10 74 Jenny Robinson '12
Erin Collins '13
Miami University Miami University Miami University DNS DNS DNS DNS DNS DNS DNS DNS 116 MRP
SchoolTeam R1 R2 R3 R4 R5 R6 R7 R8 TOT Sailors
Marquette University Marquette University Marquette 4 4 2 1 5 4 2 1 23 Ciara Mchugh '13
Alexandra Bracken '11
University of Wisconsin University of Wisconsin Badgers 2 2 3 6 5 1 3 3 2 25 Adelaide Davis '13
Kirstin Reeser '15
Ohio State University Ohio State University Ohio State 1 1 1 2 4 5 4 8 26 Gwendolyn Mulvey '13
Martine Knights '14
University of Wisconsin University of Wisconsin Badgers 1 3 2 4 3 3 2 6 4 27 Michelle Czarnecki '12
Katlyn Putney '14
University of Minnesota University of Minnesota Minnesota Women 5 5 5 6 2 1 1 3 28 Kirstin Wilson '12
Madeline Hoover '14
Northwestern University Northwestern University Wildcats 1 6 7 7 4 6 BKD 5 9 50 Francesca Ferrero '11
Shannon Oliver-O'Neil '11
Northwestern University Northwestern University Wildcats 2 8 6 3 7 8 7 7 6 52 Emily Fontaine '14 [1-8]
Martha Koch '13 [1-2, 7-8]
C Jones '14 [3-6]
University of Michigan University of Michigan Wolverines 7 8 8 8 7 6 8 7 59 Anna Frick '13
Ansley Semack '14
Michigan Technological University Michigan Technological University Husky One 9 10 10 10 9 8 9 5 70 Eryn Grupido '13
Amelia Seelman '12
University of Chicago University of Chicago Maroons DNS DNS DNS DNS DNS DNS DNS DNS 96 Anna Scott '11
Alexandra Weill '11
Miami University Miami University Miami University DNF 9 9 9 10 10 DNS DNS 103 MRP
Boat Speed Analyzer
SlowExpected boat effectFast
−0.170+0.17
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 Spring 2010 (14 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
University of ChicagoUniversity of Chicago Maroons779911111313
Marquette UniversityMarquette University Marquette88101012121414
Miami UniversityMiami University Miami University99111113131515
University of MichiganUniversity of Michigan Wolverines1111131315151717
Michigan Technological UniversityMichigan Technological University Husky One1010121214141616
University of MinnesotaUniversity of Minnesota Minnesota Women12121414161677
Northwestern UniversityNorthwestern University Wildcats 113131515171788
Northwestern UniversityNorthwestern University Wildcats 2141416167799
Ohio State UniversityOhio State University Ohio State15151717881010
University of WisconsinUniversity of Wisconsin Badgers 1161677991111
University of WisconsinUniversity of Wisconsin Badgers 217178810101212

Division B

Team1B2B3B4B5B6B7B8B
University of ChicagoUniversity of Chicago Maroons88101012121414
Marquette UniversityMarquette University Marquette99111113131515
Miami UniversityMiami University Miami University1010121214141616
University of MichiganUniversity of Michigan Wolverines12121414161677
Michigan Technological UniversityMichigan Technological University Husky One1111131315151717
University of MinnesotaUniversity of Minnesota Minnesota Women13131515171788
Northwestern UniversityNorthwestern University Wildcats 1141416167799
Northwestern UniversityNorthwestern University Wildcats 215151717881010
Ohio State UniversityOhio State University Ohio State161677991111
University of WisconsinUniversity of Wisconsin Badgers 117178810101212
University of WisconsinUniversity of Wisconsin Badgers 2779911111313

Conditions — 10/30/2010 (8am–6pm)

☀️Clear sky
Humidity 52%  ·  Pressure 1008.5 hPa

Temperature

54°F
↑ 60°F   ↓ 45°F
Feels like 46°F

Wind

● from   ▲ toward
8.8 kn
avg  ·  max 9.8 kn
Gusts to 21.2 kn
From W (277°)

Sky & Precipitation

Cloud cover33% Sunshine9.3 hrs Humidity52% Pressure1008.5 hPa

Orderliness — underdogs or favourites?

Breeze: W 11 kn · N 6 kn (weather reanalysis in the scorer’s units)
In this breeze at Wisconsin: a strongly favourites’ day (+0.12)
Back the top seeds: results should follow the ratings, and the gaps between favourites hold.
Fleet adjustment +0.15 (a softer or greener fleet makes the ratings stick) · combined forecast +0.27
Actual: a strongly favourites’ day (+0.53 ± 0.16)

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 ±0.12 means a rating gap counts about 10% 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 →