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Buckeye Intersectional

# SchoolTeam A B TOT
1 Eckerd College Eckerd College Tritons 16 13 29
2 Miami University Miami University Miami University 19 58 77
3 Denison University Denison University Big Red 48 45 93
4 Michigan Technological University Michigan Technological University Husky One 57 49 106
5 Ohio State University Ohio State University The Ohio State Univ. 73 45 118
6 Western Michigan University Western Michigan University Western Michigan 72 50 122
7 University of Buffalo University of Buffalo Bulls 67 66 133
8 University of Notre Dame University of Notre Dame Fighting Irish 69 79 148
9 University of Toledo University of Toledo Toledo 81 98 179
10 Ohio University Ohio University Ohio 1 112 MRP 126 MRP 238 MRP
11 Ohio University Ohio University Ohio 2 122 MRP 128 MRP 250 MRP
SchoolTeam R1 R2 R3 R4 R5 R6 R7 R8 R9 R10 TOT Sailors
Eckerd College Eckerd College Tritons 1 1 1 1 1 4 2 2 2 1 16 Timothy Siemers '16
Shaughnessy Lindquist '16
Miami University Miami University Miami University 3 2 3 2 2 2 1 1 1 2 19 Stuart Fisher '16
Kelsey Loss '15
Denison University Denison University Big Red 6 3 DSQ 3 6 1 5 4 3 4 48 William Floyd '16
Jessica Cerney '17
Michigan Technological University Michigan Technological University Husky One 4 7 4 6 3 5 8 3 11 6 57 Joel Florek '15
Charles Rysenga '14
University of Buffalo University of Buffalo Bulls 2 4 5 4 DSQ 6 12 9 4 8 67 Dante Iozzo '16
Quinton Jones '16
University of Notre Dame University of Notre Dame Fighting Irish 5 DNS 2 7 9 11 4 6 7 5 69 Kevin Miller '15 [1-8]
Skyler Hughes '16 [9-10]
Connor Burke '16 [1-8]
Western Michigan University Western Michigan University Western Michigan 9 10 6 9 7 3 3 5 10 10 72 Vytenis Karaitis '14 [1-10]
Blake Utz '16 [1-4, 7-10]
Brendan Brown '15 [5-6]
Ohio State University Ohio State University The Ohio State Univ. 7 9 9 8 4 9 7 8 5 7 73 David Aspery '16
Anatoliy Kryvenko '15
University of Toledo University of Toledo Toledo 8 5 8 5 5 8 6 10 DNS DNS 81 Colin Mackay '17
Evon Deprey '17
Ohio University Ohio University Ohio 1 10 11 10 12 8 7 11 11 9 3 112 MRP Taylor Sackett '17
Ohio University Ohio University Ohio 2 11 6 11 11 11 10 10 DNF 8 11 122 MRP
SchoolTeam R1 R2 R3 R4 R5 R6 R7 R8 R9 R10 TOT Sailors
Eckerd College Eckerd College Tritons 1 1 1 1 1 1 1 1 BKD 4 13 Seth Barrows '15
Morgan Engle '15
Ohio State University Ohio State University The Ohio State Univ. 2 6 5 3 3 2 10 8 3 3 45 Andrew Rush '17 [1-10]
Maxwell Maguire '16 [1-4]
Morgan Shank '17 [5-10]
Denison University Denison University Big Red 4 2 2 8 5 7 6 4 1 6 45 Grant Lorimer '15
Marguerite Fall '17
Michigan Technological University Michigan Technological University Husky One 8 7 7 5 2 4 7 3 4 2 49 Jacob Henley '17
Curtis Baugher '14
Western Michigan University Western Michigan University Western Michigan 7 4 3 4 6 3 8 2 2 11 50 Ryan Mabie '16
Elliott Klose '15
Miami University Miami University Miami University 3 3 8 6 8 11 3 7 8 1 58 Otto Wenzler '16 [1-10]
Mitko Karshovski '16 [1-4]
Nick Szappanos '16 [5-10]
University of Buffalo University of Buffalo Bulls 5 DSQ 4 2 7 6 9 10 5 5 66 Kishen Das '14
Jaimie Sprague '15
University of Notre Dame University of Notre Dame Fighting Irish 10 8 10 9 9 8 5 5 7 8 79 Peter Roehmholdt '14
Marc Drake '15
University of Toledo University of Toledo Toledo 6 DNS 9 RAF 10 10 2 9 DNS DNS 98 Drew Blackburn '17
Evon Deprey '17
Ohio University Ohio University Ohio 1 11 9 11 11 11 9 12 12 10 10 126 MRP Taylor Sackett '17
Ohio University Ohio University Ohio 2 12 10 12 10 12 12 11 11 9 9 128 MRP
Boat Speed Analyzer
SlowExpected boat effectFast
−0.130+0.13
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

Team1A2A3A4A5A6A7A8A9A10A
University of BuffaloUniversity of Buffalo Bulls21215577991717
Denison UniversityDenison University Big Red1818202022226688
Eckerd CollegeEckerd College Tritons2222668810101818
Miami UniversityMiami University Miami University9917171919212155
Michigan Technological UniversityMichigan Technological University Husky One881010181820202222
University of Notre DameUniversity of Notre Dame Fighting Irish2020222266881010
Ohio UniversityOhio University Ohio 1101018182020222266
Ohio UniversityOhio University Ohio 21717191921215577
Ohio State UniversityOhio State University The Ohio State Univ.55779917171919
University of ToledoUniversity of Toledo Toledo19192121557799
Western Michigan UniversityWestern Michigan University Western Michigan7799171719192121

Division B

Team1B2B3B4B5B6B7B8B9B10B
University of BuffaloUniversity of Buffalo Bulls2222668810101818
Denison UniversityDenison University Big Red19192121557799
Eckerd CollegeEckerd College Tritons55779917171919
Miami UniversityMiami University Miami University101018182020222266
Michigan Technological UniversityMichigan Technological University Husky One9917171919212155
University of Notre DameUniversity of Notre Dame Fighting Irish21215577991717
Ohio UniversityOhio University Ohio 11717191921215577
Ohio UniversityOhio University Ohio 21818202022226688
Ohio State UniversityOhio State University The Ohio State Univ.6688101018182020
University of ToledoUniversity of Toledo Toledo2020222266881010
Western Michigan UniversityWestern Michigan University Western Michigan881010181820202222

Conditions — 04/05/2014 (8am–6pm)

☁️Overcast
Humidity 55%  ·  Pressure 1021.6 hPa

Temperature

43°F
↑ 48°F   ↓ 34°F
Feels like 35°F

Wind

● from   ▲ toward
8.5 kn
avg  ·  max 11.3 kn
Gusts to 22.7 kn
From NW (314°)

Sky & Precipitation

Cloud cover78% Sunshine10.3 hrs Humidity55% Pressure1021.6 hPa

Orderliness — underdogs or favourites?

Breeze: NW 12 kn · E 8 kn (scorer’s report)
In this breeze at Ohio State: an underdogs’ day (−0.03)
Expect upsets: lower-rated teams have a better chance of beating the seeds, and the fleet bunches up.
Fleet adjustment +0.08 (a softer or greener fleet makes the ratings stick) · combined forecast +0.06
Actual: about typical, within noise (+0.27 ± 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 2% less 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 Ohio State by wind direction (angle) and speed (rings), fitted surface; dots are labelled regatta-days, ★ this regatta (only 9 labelled days at Ohio State, 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 →