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Crews Regatta 2013

# SchoolTeam A B TOT
1 Brown University Brown University Bears 14 15 29
2 Northeastern University Northeastern University Huskies 29 8 37
3 Tufts University Tufts University Jumbos 18 23 41
4 Massachusetts Institute of Technology Massachusetts Institute of Technology Engineers 13 34 47
5 Colleges of the Fenway Colleges of the Fenway Fenway 32 35 67
6 McGill University McGill University Redbirds 23 47 70
7 Brandeis University Brandeis University Judges 53 25 78
8 University of New Hampshire University of New Hampshire Wildcats 57 39 96
9 Massachusetts Institute of Technology Massachusetts Institute of Technology Angry Beavers 48 54 102
10 Wellesley College Wellesley College Blue 58 52 110
11 University of Connecticut University of Connecticut Huskies 52 72 124
SchoolTeam R1 R2 R3 R4 R5 R6 TOT Sailors
Massachusetts Institute of Technology Massachusetts Institute of Technology Engineers 1 5 1 2 1 3 13 Jordan Ladd '17
Chloe Lepert '15
Brown University Brown University Bears 3 2 4 1 3 1 14 Kristin Altreuter '14
Johanna Kincaid '15
Tufts University Tufts University Jumbos 2 4 3 5 2 2 18 Julie Pringle '14
Erin Bondy '15
McGill University McGill University Redbirds 4 6 2 3 4 4 23 Leslie Beedell '16
Robert Christie '16
Northeastern University Northeastern University Huskies 5 1 8 4 5 6 29 Janelle Veary '15
Elise Gehling '17
Colleges of the Fenway Colleges of the Fenway Fenway 6 3 6 6 6 5 32 John Zupkud '16
Marycatherine Dunne '16
Massachusetts Institute of Technology Massachusetts Institute of Technology Angry Beavers 8 11 7 8 7 7 48 Alissa Borshchenko '16
Jamila Smith-Dell '16
University of Connecticut University of Connecticut Huskies 10 9 5 7 9 DNF 52 Catherine Stavola '14
George Williams '17
Brandeis University Brandeis University Judges 7 10 9 11 8 8 53 Michael Partridge '16
Mary Ali Santana '16
University of New Hampshire University of New Hampshire Wildcats 9 7 11 9 11 10 57 Tyler Parker '15
J. Devlin Keogh '16
Wellesley College Wellesley College Blue 11 8 10 10 10 9 58 Anna Kennedy '17 [1-6]
Taylor Corey '17 [1-2, 5-6]
Jordan Sessa '16 [3-4]
SchoolTeam R1 R2 R3 R4 R5 R6 TOT Sailors
Northeastern University Northeastern University Huskies 2 1 1 1 1 2 8 Taylor Williams '16
Tasha Greenwood '15
Brown University Brown University Bears 3 4 2 2 3 1 15 Marina Cano '17
Sean O'Keefe '17
Tufts University Tufts University Jumbos 1 3 9 3 2 5 23 Claire Brodie '16
Hannah Duggan '15
Brandeis University Brandeis University Judges 4 5 4 4 5 3 25 Dan Marks '14
Sarah Hyman '15
Massachusetts Institute of Technology Massachusetts Institute of Technology Engineers 7 2 5 9 7 4 34 Paige Omura '17
Jorlyn Le Garrec '17
Colleges of the Fenway Colleges of the Fenway Fenway 8 6 6 5 4 6 35 Samuel Shucher '16
Jamie Joyce '16
University of New Hampshire University of New Hampshire Wildcats 5 8 3 6 8 9 39 Lindsey Zolot '15
Emily Peabody '16
McGill University McGill University Redbirds 6 7 8 7 DNF 7 47 Jessica Horne '17
James Paolino '15
Wellesley College Wellesley College Blue 9 9 10 10 6 8 52 Linlin Chen '17 [1-4]
Sarah Ertle '16 [5-6]
Sarah Ertle '16 [1-2]
Kerry Lydon '17 [3-6]
Massachusetts Institute of Technology Massachusetts Institute of Technology Angry Beavers 10 10 7 8 9 10 54 Grace Young '14
David Zhang '17
University of Connecticut University of Connecticut Huskies DNS DNS DNS DNS DNF DNS 72 No Show
No Show
Boat Speed Analyzer
SlowExpected boat effectFast
−0.090+0.09
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 (15 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

Team1A2A3A4A5A6A
Brandeis UniversityBrandeis University Judges111111
Brown UniversityBrown University Bears222222
University of ConnecticutUniversity of Connecticut Huskies999999
Colleges of the FenwayColleges of the Fenway Fenway333333
McGill UniversityMcGill University Redbirds444444
Massachusetts Institute of TechnologyMassachusetts Institute of Technology Angry Beavers666666
Massachusetts Institute of TechnologyMassachusetts Institute of Technology Engineers555555
University of New HampshireUniversity of New Hampshire Wildcats101010101010
Northeastern UniversityNortheastern University Huskies777777
Tufts UniversityTufts University Jumbos888888
Wellesley CollegeWellesley College Blue111111111111

Division B

Team1B2B3B4B5B6B
Brandeis UniversityBrandeis University Judges111111
Brown UniversityBrown University Bears222222
University of ConnecticutUniversity of Connecticut Huskies999999
Colleges of the FenwayColleges of the Fenway Fenway333333
McGill UniversityMcGill University Redbirds444444
Massachusetts Institute of TechnologyMassachusetts Institute of Technology Angry Beavers666666
Massachusetts Institute of TechnologyMassachusetts Institute of Technology Engineers555555
University of New HampshireUniversity of New Hampshire Wildcats101010101010
Northeastern UniversityNortheastern University Huskies777777
Tufts UniversityTufts University Jumbos888888
Wellesley CollegeWellesley College Blue111111111111

Conditions — 11/10/2013 (8am–6pm)

🌦️Light drizzle
Humidity 71%  ·  Pressure 1008.9 hPa

Temperature

49°F
↑ 55°F   ↓ 42°F
Feels like 43°F

Wind

● from   ▲ toward
6.7 kn
avg  ·  max 8.9 kn
Gusts to 16.5 kn
From WSW (244°)

Sky & Precipitation

Cloud cover70% Sunshine7.9 hrs Humidity71% Pressure1008.9 hPa Rain0.09 in

Orderliness — underdogs or favourites?

Breeze: W 14 kn (scorer’s report)
In this breeze at MIT: a typical day (−0.01)
Nothing in the breeze favours either side; expect results to follow the ratings about as usual.
Fleet adjustment +0.17 (a softer or greener fleet makes the ratings stick) · combined forecast +0.17
Actual: a strongly favourites’ day (+0.32 ± 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 ±0.01 means a rating gap counts about 1% 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 MIT by wind direction (angle) and speed (rings), fitted surface; dots are labelled regatta-days, ★ this regatta (112 labelled days at MIT).

From the notes

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

All notes →