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MCSA Coed Qualifiers

# SchoolTeam A B TOT
1 University of Michigan University of Michigan Wolverines 18 17 35
2 University of Minnesota University of Minnesota Gophers 23 15 38
3 University of Wisconsin University of Wisconsin Badgers 23 16 39
4 University of Notre Dame University of Notre Dame Fighting Irish 35 37 72
5 University of Wisconsin Milwaukee University of Wisconsin Milwaukee Panthers 37 50 87
6 Northwestern University Northwestern University Wildcats 49 39 88
7 University of Iowa University of Iowa Hawkeyes 44 68 112
8 Western Michigan University Western Michigan University Western Michigan 68 55 123
9 Miami University Miami University Miami University 63 66 129
SchoolTeam R1 R2 R3 R4 R5 R6 R7 R8 TOT Sailors
University of Michigan University of Michigan Wolverines 1 1 1 4 2 2 4 3 18 Alex Ramos '15 [1-8]
Karinne Smolenyak '15 [1-4]
Sarah Sloan '16 [5-8]
University of Minnesota University of Minnesota Gophers 2 4 3 3 1 3 6 1 23 Drake Lundeen '14 [1-4]
Wheeler J '16 [5-8]
Sarah Ellis '14 [1-4]
University of Wisconsin University of Wisconsin Badgers 3 6 2 1 7 1 1 2 23 George Kutschenreuter '15 [1-8]
Katie Hall '16 [1-2]
Katlyn Putney '14 [3-4, 7-8]
Elliot Busta '15 [5-6]
University of Notre Dame University of Notre Dame Fighting Irish 6 2 5 2 3 4 7 6 35 Mike Flanigan '15
Sarah Eide '14
University of Wisconsin Milwaukee University of Wisconsin Milwaukee Panthers 4 3 4 6 8 5 2 5 37 Benjamin Otten '14
Hannah Noll '15
University of Iowa University of Iowa Hawkeyes 5 5 7 7 6 7 3 4 44 Najwa Jumali '16
Kyle Williams '15
Northwestern University Northwestern University Wildcats 7 8 6 5 5 6 5 7 49 Ryan Anderson '15 [1-6]
Jacob Bruce '16 [7-8]
Courtney Peterson '16 [1-6]
Miami University Miami University Miami University 9 9 8 8 4 9 8 8 63 Max Burson '16
Madison Eger '16
Western Michigan University Western Michigan University Western Michigan 8 7 9 9 9 8 9 9 68 Ryan Mabie '16
Elliott Klose '15
SchoolTeam R1 R2 R3 R4 R5 R6 R7 R8 TOT Sailors
University of Minnesota University of Minnesota Gophers 1 1 1 2 2 3 2 3 15 Ryan Grosch '14
Paige Boegeman '14
University of Wisconsin University of Wisconsin Badgers 2 3 3 3 1 2 1 1 16 Michael Lee '14 [1-6]
Connor Trepton '15 [7-8]
Katrina Debbink '15 [1-2]
Kelsea Kierstead '15 [3-8]
University of Michigan University of Michigan Wolverines 3 2 2 1 3 1 3 2 17 Ryan Seago '14 [1-8]
Elizabeth Wallace '15 [1-6]
Karinne Smolenyak '15 [7-8]
University of Notre Dame University of Notre Dame Fighting Irish 5 4 5 5 5 5 4 4 37 John Schneider '16 [1-8]
Christian Koerwer '16 [1-2, 7-8]
Kevin Miller '15 [3-6]
Northwestern University Northwestern University Wildcats 4 8 4 4 4 4 6 5 39 Travis Cottle '15
Megan Mcevily '14
University of Wisconsin Milwaukee University of Wisconsin Milwaukee Panthers 7 7 6 7 6 6 5 6 50 Isak Peterson '15
Cole Meller '17
Western Michigan University Western Michigan University Western Michigan 6 6 7 6 7 7 8 8 55 Jack Greve '15 [1-8]
Blake Utz '16 [1-6]
Brendan Brown '15 [7-8]
Miami University Miami University Miami University 9 9 8 9 9 8 7 7 66 Samuel Werley '17 [1-8]
Brittany Nordhaus '17 [1-4]
Alex Winner '17 [5-8]
University of Iowa University of Iowa Hawkeyes 8 5 9 8 8 DNF DNS DNS 68 Nicholas Searles '16
Brendon Marcellus '26
Boat Speed Analyzer
SlowExpected boat effectFast
−0.080+0.08
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 (3 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 IowaUniversity of Iowa Hawkeyes33557799
Miami UniversityMiami University Miami University11335577
University of MichiganUniversity of Michigan Wolverines4422101088
University of MinnesotaUniversity of Minnesota Gophers55779911
Northwestern UniversityNorthwestern University Wildcats2210108866
University of Notre DameUniversity of Notre Dame Fighting Irish6644221010
University of Wisconsin MilwaukeeUniversity of Wisconsin Milwaukee Panthers88664422
Western Michigan UniversityWestern Michigan University Western Michigan99113355
University of WisconsinUniversity of Wisconsin Badgers77991133

Division B

Team1B2B3B4B5B6B7B8B
University of IowaUniversity of Iowa Hawkeyes4466881010
Miami UniversityMiami University Miami University22446688
University of MichiganUniversity of Michigan Wolverines33119977
University of MinnesotaUniversity of Minnesota Gophers6688101022
Northwestern UniversityNorthwestern University Wildcats11997755
University of Notre DameUniversity of Notre Dame Fighting Irish55331199
University of Wisconsin MilwaukeeUniversity of Wisconsin Milwaukee Panthers77553311
Western Michigan UniversityWestern Michigan University Western Michigan1010224466
University of WisconsinUniversity of Wisconsin Badgers8810102244
School / Team SkipperCrew
Miami University Miami University Max Burson '16 Madison Eger '16
Miami University Samuel Werley '17 [1-8] Brittany Nordhaus '17 [1-4]
Alex Winner '17 [5-8]
Northwestern University Northwestern University Ryan Anderson '15 [1-6]
Jacob Bruce '16 [7-8]		 Courtney Peterson '16 [1-6]
Wildcats Travis Cottle '15 Megan Mcevily '14
University of Iowa University of Iowa Najwa Jumali '16 Kyle Williams '15
Hawkeyes Nicholas Searles '16 Brendon Marcellus '26
University of Michigan University of Michigan Alex Ramos '15 [1-8] Karinne Smolenyak '15 [1-4]
Sarah Sloan '16 [5-8]
Wolverines Ryan Seago '14 [1-8] Elizabeth Wallace '15 [1-6]
Karinne Smolenyak '15 [7-8]
University of Minnesota University of Minnesota Drake Lundeen '14 [1-4]
Wheeler J '16 [5-8]		 Sarah Ellis '14 [1-4]
Gophers Ryan Grosch '14 Paige Boegeman '14
University of Notre Dame University of Notre Dame Mike Flanigan '15 Sarah Eide '14
Fighting Irish John Schneider '16 [1-8] Christian Koerwer '16 [1-2, 7-8]
Kevin Miller '15 [3-6]
University of Wisconsin University of Wisconsin George Kutschenreuter '15 [1-8] Katie Hall '16 [1-2]
Katlyn Putney '14 [3-4, 7-8]
Elliot Busta '15 [5-6]
Badgers Michael Lee '14 [1-6]
Connor Trepton '15 [7-8]		 Katrina Debbink '15 [1-2]
Kelsea Kierstead '15 [3-8]
University of Wisconsin Milwaukee University of Wisconsin Milwaukee Benjamin Otten '14 Hannah Noll '15
Panthers Isak Peterson '15 Cole Meller '17
Western Michigan University Western Michigan University Ryan Mabie '16 Elliott Klose '15
Western Michigan Jack Greve '15 [1-8] Blake Utz '16 [1-6]
Brendan Brown '15 [7-8]

Conditions — 04/26/2014 (8am–6pm)

☁️Overcast
Humidity 53%  ·  Pressure 1016.0 hPa

Temperature

47°F
↑ 54°F   ↓ 36°F
Feels like 39°F

Wind

● from   ▲ toward
10.0 kn
avg  ·  max 12.1 kn
Gusts to 26.4 kn
From E (86°)

Sky & Precipitation

Cloud cover95% Sunshine10.6 hrs Humidity53% Pressure1016.0 hPa

Orderliness — underdogs or favourites?

Breeze: E 8 kn (scorer’s report)
In this breeze at Minnesota: a favourites’ day (+0.03)
Back the top seeds: results should follow the ratings, and the gaps between favourites hold.
Fleet adjustment +0.02 (a softer or greener fleet makes the ratings stick) · combined forecast +0.06
Actual: about typical, within noise (+0.24 ± 0.14)

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 3% 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 Minnesota by wind direction (angle) and speed (rings), fitted surface; dots are labelled regatta-days, ★ this regatta (only 3 labelled days at Minnesota, 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 →