Maisa Central Spring Qualifier

# SchoolTeam A B TOT
1 Washington College Washington College Shoremen 26 22 48
2 Princeton University Princeton University Tigers 34 40 74
3 Stevens Institute of Technology Stevens Institute of Technology Stevens 40 44 84
4 Monmouth University Monmouth University Monmouth 62 25 87
5 Villanova University Villanova University Villanova 59 49 108
6 Kean University Kean University Kean 34 75 109
7 Drexel University Drexel University Dragons 69 52 121
8 Ocean County College Ocean County College Vikings 61 70 131
9 Penn State University Penn State University Penn State 65 78 143
10 University of Maryland/Baltimore County University of Maryland/Baltimore County Maryland/Baltimore 102 99 201
SchoolTeam R1 R2 R3 R4 R5 R6 R7 R8 R9 R10 TOT Sailors
Washington College Washington College Shoremen 1 3 9 1 1 1 1 1 6 2 26 Michael Whitford '12 [1-6]
Sam Fitzgerald '14 [7-10]
Caroline Hill '11 [1-6]
Paul Miller '14 [7-10]
Kean University Kean University Kean 3 4 1 5 3 4 7 4 2 1 34 Tyler Kennedy '12
Jamie Lee Wasco '12
Princeton University Princeton University Tigers 5 2 2 4 2 5 3 2 5 4 34 Mary Gamber '11 [1-8]
Gene Merewether '13 [9-10]
Mary Bartlett '12 [1-8]
Stevens Institute of Technology Stevens Institute of Technology Stevens 2 1 4 8 7 3 4 5 1 5 40 Gerard Tonachel '13
Andrew Turnage '15
Villanova University Villanova University Villanova 6 8 6 3 5 7 2 7 8 7 59 Andrew Sayre '12
Marisa Demourkas '12
Ocean County College Ocean County College Vikings 4 9 3 7 8 8 9 3 7 3 61 Zachary Schippe '14 [1-10]
Kristina Severino '14 [1-8]
Emily Mccarthy '13 [9-10]
Monmouth University Monmouth University Monmouth 8 5 8 2 4 2 8 8 9 8 62 Paul Luisi '11
Rachel Armstrong '14
Penn State University Penn State University Penn State 9 7 5 9 6 6 5 9 3 6 65 Rachel Bennung '12
Eliza Crawford '14
Drexel University Drexel University Dragons 7 6 7 6 9 9 6 6 4 9 69 Joan Boyle '14
Stephen Ciccariello '13
University of Maryland/Baltimore County University of Maryland/Baltimore County Maryland/Baltimore 10 10 10 10 10 10 10 10 DNS DNS 102 Dennis Seuferling '13
Maximillian Korzan '14
SchoolTeam R1 R2 R3 R4 R5 R6 R7 R8 R9 R10 TOT Sailors
Washington College Washington College Shoremen 1 6 4 1 2 1 1 1 2 3 22 Mildred Conroy '12 [1-6]
Samuel Bedinger '13 [7-8]
Hadley Burnham '14 [9-10]
Matt Lawler '13 [1-6]
Monmouth University Monmouth University Monmouth 5 5 1 2 1 3 2 4 1 1 25 Paul Stevens '14
Shawn Diamond '13
Princeton University Princeton University Tigers 4 4 3 3 3 4 3 6 5 5 40 Samantha Gebb '14 [1-6]
John Marzulli '12 [7-10]
Paige Tsai '13 [1-6]
Stevens Institute of Technology Stevens Institute of Technology Stevens 7 3 8 4 6 2 4 5 3 2 44 Christian Geary '14
Kyle Ripley '13
Villanova University Villanova University Villanova 2 2 2 9 7 7 5 2 4 9 49 Trevor Vonkaenel '13 [1-8]
William Joumas '15 [9-10]
Scott Barnhill '14 [1-6, 9-10]
Kathryn Shimko '12 [7-8]
Drexel University Drexel University Dragons 3 1 6 7 4 5 6 7 9 4 52 Jennifer Mislinski '11
Nedko Yordanov '11
Ocean County College Ocean County College Vikings 9 8 5 6 5 9 9 3 8 8 70 Dave Desimone '14 [1-6]
Rebecca Johnson '12 [7-10]
Emily Mccarthy '13 [1-6]
Kyle Donnelly '14 [7-10]
Kean University Kean University Kean 10 7 9 5 8 8 7 9 6 6 75 Brendan Hogan '12
Sarah Salter '12
Penn State University Penn State University Penn State 6 10 7 10 9 6 8 8 7 7 78 Jacob Snyder '13
Megan Seidel '12
University of Maryland/Baltimore County University of Maryland/Baltimore County Maryland/Baltimore 8 9 10 8 10 10 DNS DNS DNS DNS 99 Christopher Cormier '13
Adam Rybczynski '14
Boat Speed Analyzer
SlowExpected boat effectFast
−0.110+0.11
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 (7 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
Drexel UniversityDrexel University Dragons1133557799
Kean UniversityKean University Kean224466881010
University of Maryland/Baltimore CountyUniversity of Maryland/Baltimore County Maryland/Baltimore3355779911
Monmouth UniversityMonmouth University Monmouth446688101022
Ocean County CollegeOcean County College Vikings5577991133
Penn State UniversityPenn State University Penn State7799113355
Princeton UniversityPrinceton University Tigers668810102244
Stevens Institute of TechnologyStevens Institute of Technology Stevens881010224466
Villanova UniversityVillanova University Villanova9911335577
Washington CollegeWashington College Shoremen101022446688

Division B

Team1B2B3B4B5B6B7B8B9B10B
Drexel UniversityDrexel University Dragons224466881010
Kean UniversityKean University Kean3355779911
University of Maryland/Baltimore CountyUniversity of Maryland/Baltimore County Maryland/Baltimore446688101022
Monmouth UniversityMonmouth University Monmouth5577991133
Ocean County CollegeOcean County College Vikings668810102244
Penn State UniversityPenn State University Penn State881010224466
Princeton UniversityPrinceton University Tigers7799113355
Stevens Institute of TechnologyStevens Institute of Technology Stevens9911335577
Villanova UniversityVillanova University Villanova101022446688
Washington CollegeWashington College Shoremen1133557799

Conditions — 04/02/2011 (8am–6pm)

☁️Overcast
Humidity 63%  ·  Pressure 1003.9 hPa

Temperature

46°F
↑ 49°F   ↓ 39°F
Feels like 39°F

Wind

● from   ▲ toward
8.3 kn
avg  ·  max 9.9 kn
Gusts to 21.2 kn
From W (278°)

Sky & Precipitation

Cloud cover80% Sunshine11.0 hrs Humidity63% Pressure1003.9 hPa Rain0.02 in

Orderliness — underdogs or favourites?

Breeze: W 8 kn · W 10 kn (scorer’s report)
In this breeze at Washington College: a typical day (+0.02)
Nothing in the breeze favours either side; expect results to follow the ratings about as usual.
Fleet adjustment +0.06 (a softer or greener fleet makes the ratings stick) · combined forecast +0.08
Actual: about typical, within noise (−0.12 ± 0.12)

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 ±0.02 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 Washington College by wind direction (angle) and speed (rings), fitted surface; dots are labelled regatta-days, ★ this regatta (17 labelled days at Washington College).

From the notes

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

All notes →