Drexel Open

# SchoolTeam A B TOT
1 Ocean County College Ocean County College Vikings 39 32 71
2 Rochester Institute of Technology Rochester Institute of Technology Rochester 65 37 102
3 Drexel University Drexel University Dragons 65 53 118
4 Webb Institute Webb Institute Clippers 48 71 119
5 U. S. Military Academy U. S. Military Academy Army 64 66 130
6 Kean University Kean University Kean 50 88 138
7 Syracuse University Syracuse University Orange 80 79 159
8 University of Maryland/Baltimore County University of Maryland/Baltimore County Maryland/Baltimore 93 78 171
SchoolTeam R1 R2 R3 R4 R5 R6 R7 R8 R9 R10 R11 R12 R13 R14 TOT Sailors
Ocean County College Ocean County College Vikings 7 2 2 1 1 2 1 4 4 1 8 1 1 4 39 Zachary Schippe '14
Andrew Daponte '14
Webb Institute Webb Institute Clippers 4 8 1 3 6 3 2 1 3 6 2 2 5 2 48 James Codega '14
Michael Larose '13
Kean University Kean University Kean 5 5 4 2 2 1 3 3 7 5 4 4 4 1 50 Tyler Kennedy '12
Brendan Hogan '12
U. S. Military Academy U. S. Military Academy Army 2 6 7 6 7 8 6 5 2 3 1 5 3 3 64 David Geer '13
Jack Pinnell '15
Drexel University Drexel University Dragons 1 3 6 7 5 5 7 6 1 2 5 3 8 6 65 Stephen Ciccariello '13
Tracy Venella '16
Rochester Institute of Technology Rochester Institute of Technology Rochester 3 4 3 4 4 4 4 2 8 7 7 6 2 7 65 Daniel Christiani '15
Peter Thorpe '13
Syracuse University Syracuse University Orange 8 1 5 5 8 6 5 8 5 8 3 7 6 5 80 Harmen Rockler '13
Elizabeth Grant '15
University of Maryland/Baltimore County University of Maryland/Baltimore County Maryland/Baltimore 6 7 8 8 3 7 8 7 6 4 6 8 7 8 93 Christopher Chitterling '15 [1-14]
Douglas Hamilton '14 [1-12, 14]
Thomas Carman '15 [13]
SchoolTeam R1 R2 R3 R4 R5 R6 R7 R8 R9 R10 R11 R12 R13 R14 TOT Sailors
Ocean County College Ocean County College Vikings 1 1 2 4 3 1 2 3 1 4 2 2 3 3 32 Jennifer Kempton '13
Kyle Donnelly '14
Rochester Institute of Technology Rochester Institute of Technology Rochester 3 6 3 2 1 2 1 1 3 2 6 4 2 1 37 Ross Swerling '16
Allison Gaylord '14
Drexel University Drexel University Dragons 2 5 6 6 5 7 3 6 4 1 4 1 1 2 53 Jason Sinclair '13 [1-7, 9-14]
Paul Guentert '15 [8]
Robert Stricek '15 [1-7, 9-14]
U. S. Military Academy U. S. Military Academy Army 8 2 8 5 4 5 5 2 2 8 1 6 6 4 66 James Peaco '14
Victor Ladd '15
Webb Institute Webb Institute Clippers 6 7 1 3 6 4 7 4 5 7 8 3 4 6 71 Troy Zangle '13
Marc Smith '13
University of Maryland/Baltimore County University of Maryland/Baltimore County Maryland/Baltimore 5 4 4 7 8 6 8 5 7 6 3 5 5 5 78 Adam Rybczynski '14
Michael Moubarek '15
Syracuse University Syracuse University Orange 4 3 7 1 7 8 6 7 6 3 5 8 7 7 79 Devin Chambers '15
James Rodenhouse '14
Kean University Kean University Kean 7 8 5 8 2 3 4 8 8 5 7 7 8 8 88 Emily Mccarthy '13
Sarah Salter '12
Boat Speed Analyzer
SlowExpected boat effectFast
−0.100+0.10
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

Team1A2A3A4A5A6A7A8A9A10A11A12A13A14A
U. S. Military AcademyU. S. Military Academy Army11335577113355
Drexel UniversityDrexel University Dragons22446688224466
Kean UniversityKean University Kean33557711335577
University of Maryland/Baltimore CountyUniversity of Maryland/Baltimore County Maryland/Baltimore44668822446688
Ocean County CollegeOcean County College Vikings55771133557711
Rochester Institute of TechnologyRochester Institute of Technology Rochester66882244668822
Syracuse UniversitySyracuse University Orange77113355771133
Webb InstituteWebb Institute Clippers88224466882244

Division B

Team1B2B3B4B5B6B7B8B9B10B11B12B13B14B
U. S. Military AcademyU. S. Military Academy Army22446688224466
Drexel UniversityDrexel University Dragons33557711335577
Kean UniversityKean University Kean44668822446688
University of Maryland/Baltimore CountyUniversity of Maryland/Baltimore County Maryland/Baltimore55771133557711
Ocean County CollegeOcean County College Vikings66882244668822
Rochester Institute of TechnologyRochester Institute of Technology Rochester77113355771133
Syracuse UniversitySyracuse University Orange88224466882244
Webb InstituteWebb Institute Clippers11335577113355

Conditions — 05/05/2012 (8am–6pm)

☁️Overcast
Humidity 88%  ·  Pressure 1014.2 hPa

Temperature

64°F
↑ 66°F   ↓ 62°F
Feels like 64°F

Wind

● from   ▲ toward
6.5 kn
avg  ·  max 7.2 kn
Gusts to 17.5 kn
From ENE (71°)

Sky & Precipitation

Cloud cover94% Sunshine6.9 hrs Humidity88% Pressure1014.2 hPa

Orderliness — underdogs or favourites?

Breeze: E 9 kn · E 6 kn (weather reanalysis in the scorer’s units)
In this breeze at Drexel: an underdogs’ day (−0.07)
Expect upsets: lower-rated teams have a better chance of beating the seeds, and the fleet bunches up.
Fleet adjustment +0.12 (a softer or greener fleet makes the ratings stick) · combined forecast +0.05
Actual: a strongly underdogs’ day (−0.35 ± 0.13)

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 ±0.07 means a rating gap counts about 6% 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 Drexel by wind direction (angle) and speed (rings), fitted surface; dots are labelled regatta-days, ★ this regatta (only 11 labelled days at Drexel, 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 →