Coho Memorial

# SchoolTeam A B TOT
1 Stevens Institute of Technology Stevens Institute of Technology Ducks 37 29 66
2 Webb Institute Webb Institute Clippers 35 35 70
3 SUNY Stony Brook SUNY Stony Brook Seawolves 1 42 43 85
4 Rutgers University Rutgers University Scarlet Knights 2 53 62 115
5 Ocean County College Ocean County College Vikings 68 55 123
6 University of Delaware University of Delaware Blue Hens 55 70 125
7 Rutgers University Rutgers University Scarlet Knights 1 84 76 160
8 SUNY Stony Brook SUNY Stony Brook Seawolves 2 90 99 189
SchoolTeam R1 R2 R3 R4 R5 R6 R7 R8 R9 R10 R11 R12 R13 TOT Sailors
Webb Institute Webb Institute Clippers 3 1 3 1 1 3 3 1 3 5 4 3 4 35 Sean Walker '18
Thomas Hickey '18
Stevens Institute of Technology Stevens Institute of Technology Ducks 1 2 1 BKD 5 2 1 5 6 2 2 2 5 37 Andrew O'Brien '19
Peter Teague '18
SUNY Stony Brook SUNY Stony Brook Seawolves 1 2 3 2 7 2 1 2 3 8 DSQ 1 1 1 42 Vidar Minkovsky '18
Cailey Treyz '18
Rutgers University Rutgers University Scarlet Knights 2 4 4 8 6 4 4 5 6 2 1 3 4 2 53 Mary Morgan '15
Treasa Casey '19
University of Delaware University of Delaware Blue Hens 5 5 5 2 3 5 4 2 4 3 5 5 7 55 Sean Crandall '19 [1-13]
Molly Hans '17 [1-8, 11-13]
Calyn O'Connell '17 [9-10]
Ocean County College Ocean County College Vikings 6 6 4 3 6 6 6 4 5 4 6 6 6 68 John Kirk '17
Angelina Graham '19
Rutgers University Rutgers University Scarlet Knights 1 7 7 7 4 7 7 7 7 7 6 8 7 3 84 Rosemary Tomao '18
Corey Mounce '19
SUNY Stony Brook SUNY Stony Brook Seawolves 2 8 8 6 5 8 8 8 8 1 7 7 8 8 90 Spencer Ochs '18
Steven Buynitsky '17
SchoolTeam R1 R2 R3 R4 R5 R6 R7 R8 R9 R10 R11 R12 R13 TOT Sailors
Stevens Institute of Technology Stevens Institute of Technology Ducks 1 1 2 2 1 3 5 OCS 1 1 1 1 1 29 Nicolas Carabelli '17
Jesse Stevenson '19
Webb Institute Webb Institute Clippers 4 6 1 1 2 1 2 1 4 3 2 4 4 35 Ian Lawson '17 [1-2]
Alex Dzinbal '17 [3-8]
James Morrissey '17 [9-13]
Declan Gaylo '19 [1-2]
Ian Lawson '17 [3-8]
Kurt Gavel '16 [9-13]
SUNY Stony Brook SUNY Stony Brook Seawolves 1 8 3 3 3 5 6 1 3 2 2 3 2 2 43 Nicholas Manfredi '19
Gavyn Hagemann '18
Ocean County College Ocean County College Vikings 2 4 4 5 3 5 7 2 3 7 5 3 5 55 Nina Van De Vaarst '19
Alina Robinson '17
Rutgers University Rutgers University Scarlet Knights 2 3 2 6 4 4 2 3 5 7 4 7 8 7 62 Taylor Niles '17
No Show
University of Delaware University of Delaware Blue Hens 6 7 5 7 6 4 4 4 6 5 4 6 6 70 Laila Van Cleve '19 [1-13]
Victoria Long '17 [1-8]
Calyn O'Connell '17 [9-13]
Rutgers University Rutgers University Scarlet Knights 1 5 5 7 8 7 7 6 6 5 6 6 5 3 76 Cassidy Gonzalez '18
Treasa Casey '19
SUNY Stony Brook SUNY Stony Brook Seawolves 2 7 8 8 6 8 8 8 7 8 8 8 7 8 99 John Pizzarelli '17 [1-13]
No Show [1-8]
Samantha Mislinski '19 [9-13]
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 Spring 2013 (17 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

Team1A2A3A4A5A6A7A8A9A10A11A12A13A
University of DelawareUniversity of Delaware Blue Hens7755331177553
Ocean County CollegeOcean County College Vikings1177553311775
Rutgers UniversityRutgers University Scarlet Knights 12288664422886
Rutgers UniversityRutgers University Scarlet Knights 23311775533117
Stevens Institute of TechnologyStevens Institute of Technology Ducks6644228866442
SUNY Stony BrookSUNY Stony Brook Seawolves 14422886644228
SUNY Stony BrookSUNY Stony Brook Seawolves 25533117755331
Webb InstituteWebb Institute Clippers8866442288664

Division B

Team1B2B3B4B5B6B7B8B9B10B11B12B13B
University of DelawareUniversity of Delaware Blue Hens6644228866442
Ocean County CollegeOcean County College Vikings8866442288664
Rutgers UniversityRutgers University Scarlet Knights 11177553311775
Rutgers UniversityRutgers University Scarlet Knights 22288664422886
Stevens Institute of TechnologyStevens Institute of Technology Ducks5533117755331
SUNY Stony BrookSUNY Stony Brook Seawolves 13311775533117
SUNY Stony BrookSUNY Stony Brook Seawolves 24422886644228
Webb InstituteWebb Institute Clippers7755331177553

Conditions — 09/26/2015 (8am–6pm)

☁️Overcast
Humidity 61%  ·  Pressure 1031.1 hPa

Temperature

65°F
↑ 67°F   ↓ 60°F
Feels like 62°F

Wind

● from   ▲ toward
6.2 kn
avg  ·  max 7.4 kn
Gusts to 19.2 kn
From ENE (74°)

Sky & Precipitation

Cloud cover96% Sunshine9.7 hrs Humidity61% Pressure1031.1 hPa

Orderliness — underdogs or favourites?

Breeze: E 9 kn · E 7 kn (weather reanalysis in the scorer’s units)
In this breeze at Webb Institute: a typical day (+0.01)
Nothing in the breeze favours either side; expect results to follow the ratings about as usual.
Fleet adjustment +0.14 (a softer or greener fleet makes the ratings stick) · combined forecast +0.15
Actual: a strongly underdogs’ day (−0.24 ± 0.11)

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 ±0.01 means a rating gap counts about 1% 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 Webb Institute by wind direction (angle) and speed (rings), fitted surface; dots are labelled regatta-days, ★ this regatta (only 2 labelled days at Webb Institute, 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 →