Navigate

Army Spring Open

# SchoolTeam A B TOT
1 U. S. Military Academy U. S. Military Academy Black Knights 25 18 43
2 Ocean County College Ocean County College Vikings 18 26 44
3 Drexel University Drexel University Dragons 23 37 60
4 Webb Institute Webb Institute Clippers 41 38 79
5 University of Buffalo University of Buffalo Bulls 50 44 94
6 University of Delaware University of Delaware Blue Hens 53 47 100
SchoolTeam R1 R2 R3 R4 R5 R6 R7 R8 R9 R10 TOT Sailors
Ocean County College Ocean County College Vikings 3 1 1 4 1 2 2 2 1 1 18 John Kirk '17
Angelina Graham '19
Drexel University Drexel University Dragons 1 2 2 1 4 1 3 4 3 2 23 Frederick Piasecki '20 [1-10]
Elizabeth Jarvie '18 [1-4, 7-10]
Alison Reed '21 [5-6]
U. S. Military Academy U. S. Military Academy Black Knights 2 4 3 2 3 4 1 1 2 3 25 Michael Danko '17
Jennifer Suter '19
Webb Institute Webb Institute Clippers 5 5 5 3 2 3 6 3 4 5 41 Declan Gaylo '19
Peter Wiley '19
University of Buffalo University of Buffalo Bulls 4 3 6 5 6 6 4 6 6 4 50 John Porterfield '17
Nina Jacobsen '19
University of Delaware University of Delaware Blue Hens 6 6 4 6 5 5 5 5 5 6 53 John Mccabe '20 [1-2, 5-6, 9-10]
Hannah Babbitz '19 [3-4, 7-8]
Lauren Lee '20 [1-2, 5-6, 9-10]
SchoolTeam R1 R2 R3 R4 R5 R6 R7 R8 R9 R10 TOT Sailors
U. S. Military Academy U. S. Military Academy Black Knights 1 2 1 1 2 6 1 2 1 1 18 Matthew Schmitt '17
Ruby Garcia '18
Ocean County College Ocean County College Vikings 2 1 5 2 1 2 3 3 3 4 26 Nina Van De Vaarst '19 [1-2, 5-10]
Sean Boland '18 [3-4]
Lauren Pepsny '18 [1-10]
Drexel University Drexel University Dragons 3 4 6 6 6 5 2 1 2 2 37 Haley Clemson '20 [1-4, 7-10]
James Giebel '21 [5-6]
Elizabeth Calio '20 [1-4, 7-10]
Jacob Nantz '21 [5-6]
Webb Institute Webb Institute Clippers 5 3 4 5 3 1 6 4 4 3 38 Muriel Weathers '19 [1-10]
Max Pierce '20 [1-6, 9-10]
Matthew Migliozzi '20 [7-8]
University of Buffalo University of Buffalo Bulls 4 5 2 3 5 3 4 6 6 6 44 Austin Wyles '20
Emily Hann '17
University of Delaware University of Delaware Blue Hens 6 6 3 4 4 4 5 5 5 5 47 Laila Van Cleve '19
Shailja Gangrade '19
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 2015 (5 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
U. S. Military AcademyU. S. Military Academy Black Knights14141717111114141717
University of BuffaloUniversity of Buffalo Bulls15151818121215151818
University of DelawareUniversity of Delaware Blue Hens17171111141417171111
Drexel UniversityDrexel University Dragons11111414171711111414
Ocean County CollegeOcean County College Vikings12121515181812121515
Webb InstituteWebb Institute Clippers18181212151518181212

Division B

Team1B2B3B4B5B6B7B8B9B10B
U. S. Military AcademyU. S. Military Academy Black Knights15151818121215151818
University of BuffaloUniversity of Buffalo Bulls17171111141417171111
University of DelawareUniversity of Delaware Blue Hens18181212151518181212
Drexel UniversityDrexel University Dragons12121515181812121515
Ocean County CollegeOcean County College Vikings14141717111114141717
Webb InstituteWebb Institute Clippers11111414171711111414
School / Team SkipperCrew
Drexel University Drexel University Frederick Piasecki '20 [1-10] Elizabeth Jarvie '18 [1-4, 7-10]
Alison Reed '21 [5-6]
Dragons Haley Clemson '20 [1-4, 7-10]
James Giebel '21 [5-6]		 Elizabeth Calio '20 [1-4, 7-10]
Jacob Nantz '21 [5-6]
Ocean County College Ocean County College John Kirk '17 Angelina Graham '19
Vikings Nina Van De Vaarst '19 [1-2, 5-10]
Sean Boland '18 [3-4]		 Lauren Pepsny '18 [1-10]
U. S. Military Academy U. S. Military Academy Michael Danko '17 Jennifer Suter '19
Black Knights Matthew Schmitt '17 Ruby Garcia '18
University of Buffalo University of Buffalo John Porterfield '17 Nina Jacobsen '19
Bulls Austin Wyles '20 Emily Hann '17
University of Delaware University of Delaware John Mccabe '20 [1-2, 5-6, 9-10]
Hannah Babbitz '19 [3-4, 7-8]		 Lauren Lee '20 [1-2, 5-6, 9-10]
Blue Hens Laila Van Cleve '19 Shailja Gangrade '19
Webb Institute Webb Institute Declan Gaylo '19 Peter Wiley '19
Clippers Muriel Weathers '19 [1-10] Max Pierce '20 [1-6, 9-10]
Matthew Migliozzi '20 [7-8]

Conditions — 04/29/2017 (8am–6pm)

☁️Overcast
Humidity 69%  ·  Pressure 1015.3 hPa

Temperature

74°F
↑ 79°F   ↓ 62°F
Feels like 75°F

Wind

● from   ▲ toward
7.5 kn
avg  ·  max 12.0 kn
Gusts to 30.1 kn
From W (278°)

Sky & Precipitation

Cloud cover100% Sunshine9.5 hrs Humidity69% Pressure1015.3 hPa

Orderliness — underdogs or favourites?

Breeze: W 11 kn · SE 8 kn (weather reanalysis in the scorer’s units)
In this breeze at Army: a favourites’ day (+0.05)
Back the top seeds: results should follow the ratings, and the gaps between favourites hold.
Fleet adjustment +0.12 (a softer or greener fleet makes the ratings stick) · combined forecast +0.17
Actual: about typical, within noise (+0.04 ± 0.19)

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 ±0.05 means a rating gap counts about 5% 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 Army by wind direction (angle) and speed (rings), fitted surface; dots are labelled regatta-days, ★ this regatta (only 1 labelled days at Army, 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 →