Nittany Lion Open

# SchoolTeam A B TOT
1 Bucknell University Bucknell University Bucknell 25 14 39
2 Webb Institute Webb Institute Clippers 25 26 51
3 Ocean County College Ocean County College Vikings 36 21 57
4 Kean University Kean University Kean 14 47 61
5 Rochester Institute of Technology Rochester Institute of Technology Rochester 36 32 68
6 Penn State University Penn State University Nittany Lions 46 44 90
7 University of Maryland/Baltimore County University of Maryland/Baltimore County Retrievers 48 43 91
8 U. S. Military Academy U. S. Military Academy Army 53 61 114
SchoolTeam R1 R2 R3 R4 R5 R6 R7 R8 TOT Sailors
Kean University Kean University Kean 1 2 1 1 1 3 2 3 14 Tyler Kennedy '13
Brendan Hogan '12
Webb Institute Webb Institute Clippers 2 5 4 2 BKD 1 6 2 25 Casey Brown '16 [1-4]
Nathan Fast '14 [5-8]
Marc Smith '13 [1-4]
Michael Larose '13 [5-8]
Bucknell University Bucknell University Bucknell 4 3 2 5 2 5 3 1 25 Daniel Flanigan '13
Peter Lander '15
Rochester Institute of Technology Rochester Institute of Technology Rochester 3 4 3 3 4 4 8 7 36 Andy Peck '15
Olivia Robertson '15
Ocean County College Ocean County College Vikings 5 1 6 4 5 6 4 5 36 Kyle Donnelly '14
Anthony Favo '13
Penn State University Penn State University Nittany Lions 7 7 7 6 7 7 1 4 46 Charles Herlihy '14
Natalie Dapas '14
University of Maryland/Baltimore County University of Maryland/Baltimore County Retrievers 6 6 5 7 3 8 5 8 48 Adam Rybczynski '14
Douglas Hamilton '14
U. S. Military Academy U. S. Military Academy Army 8 8 8 8 6 2 7 6 53 Jack Pinnell '15
Jiung Kim '15
SchoolTeam R1 R2 R3 R4 R5 R6 R7 R8 TOT Sailors
Bucknell University Bucknell University Bucknell 2 2 1 2 1 3 2 1 14 Abbott Cowen '13
Emily Browning '15
Ocean County College Ocean County College Vikings 3 3 4 4 2 1 1 3 21 Liam Boyle '16
Mary Norcia '13
Webb Institute Webb Institute Clippers 1 1 3 6 6 4 3 2 26 Cody Stansky '16 [1-4, 7-8]
Troy Zangle '13 [5-6]
Erin Hub '16 [1-6]
Marc Smith '13 [7-8]
Rochester Institute of Technology Rochester Institute of Technology Rochester 4 4 5 3 3 5 4 4 32 Ross Swerling '16
University of Maryland/Baltimore County University of Maryland/Baltimore County Retrievers 5 5 6 5 5 6 5 6 43 Christopher Cormier '13
Melissa Conway '16
Penn State University Penn State University Nittany Lions 7 8 2 1 4 7 7 8 44 Emma Stevenson '13 [1-8]
Ashley Zenerovitz '13 [1-2]
Lauren Thompson '16 [3-8]
Kean University Kean University Kean 6 7 7 7 7 2 6 5 47 Emily Mccarthy '13
Sarah Salter '12
U. S. Military Academy U. S. Military Academy Army 8 6 8 8 8 8 8 7 61 James Trollan '16
Marshall Moore '16
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 Fall 2010 (4 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
U. S. Military AcademyU. S. Military Academy Army11223366
Bucknell UniversityBucknell University Bucknell22336677
Kean UniversityKean University Kean33667788
University of Maryland/Baltimore CountyUniversity of Maryland/Baltimore County Retrievers66778899
Ocean County CollegeOcean County College Vikings7788991717
Penn State UniversityPenn State University Nittany Lions8899171711
Rochester Institute of TechnologyRochester Institute of Technology Rochester9917171122
Webb InstituteWebb Institute Clippers1717112233

Division B

Team1B2B3B4B5B6B7B8B
U. S. Military AcademyU. S. Military Academy Army11223366
Bucknell UniversityBucknell University Bucknell22336677
Kean UniversityKean University Kean33667788
University of Maryland/Baltimore CountyUniversity of Maryland/Baltimore County Retrievers66778899
Ocean County CollegeOcean County College Vikings7788991717
Penn State UniversityPenn State University Nittany Lions8899171711
Rochester Institute of TechnologyRochester Institute of Technology Rochester9917171122
Webb InstituteWebb Institute Clippers1717112233

Conditions — 10/20/2012 (8am–6pm)

🌤️Mainly clear
Humidity 67%  ·  Pressure 1008.4 hPa

Temperature

51°F
↑ 53°F   ↓ 44°F
Feels like 45°F

Wind

● from   ▲ toward
7.8 kn
avg  ·  max 10.3 kn
Gusts to 24.3 kn
From WSW (247°)

Sky & Precipitation

Cloud cover50% Sunshine10.0 hrs Humidity67% Pressure1008.4 hPa Rain0.01 in

Orderliness — underdogs or favourites?

Breeze: W 11 kn (weather reanalysis in the scorer’s units)
In this breeze at Penn State: a typical day (+0.00)
Nothing in the breeze favours either side; expect results to follow the ratings about as usual.
Fleet adjustment +0.15 (a softer or greener fleet makes the ratings stick) · combined forecast +0.15
Actual: about typical, within noise (+0.03 ± 0.15)

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 ±0.00 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 Penn State by wind direction (angle) and speed (rings), fitted surface; dots are labelled regatta-days, ★ this regatta (no labelled days at Penn State: the all-venue pattern is shown).

From the notes

Short write-ups of what the ratings and results show, with the numbers and how they were computed.

All notes →