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MAISA Club Team Championship

Analysis
# SchoolTeam A B TOT
1 Fordham University Fordham University Rams 25 33 58
2 University of Virginia University of Virginia Wahoos 33 39 72
3 University of Pennsylvania University of Pennsylvania Quakers 37 39 76
4 Webb Institute Webb Institute Clippers 77 65 142
5 Drexel University Drexel University Dragons 90 56 146
6 William and Mary William and Mary Tribe 91 61 152
7 Syracuse University Syracuse University Orange 80 89 169
8 University of Maryland University of Maryland Terps 72 110 182
9 University of Buffalo University of Buffalo Bulls 125 78 203
10 Queen's University Queen's University Gaels 106 98 204
11 Virginia Tech Virginia Tech Hokies 90 128 218
12 St. John's College St. John's College Johnnies 110 141 251
SchoolTeam R1 R2 R3 R4 R5 R6 R7 R8 R9 R10 R11 R12 TOT Sailors
Fordham University Fordham University Rams 2 1 2 4 3 3 1 2 1 1 1 4 25 Alex Jacob '16
Emma Pfohman '13
University of Virginia University of Virginia Wahoos 1 2 3 2 2 2 2 7 4 2 5 1 33 Gordon Wolcott '13
Alexandra Brenin '15
University of Pennsylvania University of Pennsylvania Quakers 3 3 1 3 1 4 3 3 3 4 2 7 37 Michael Russom '13
Meaghan Harding '16
University of Maryland University of Maryland Terps 8 7 5 5 8 6 5 1 2 5 10 10 72 Joshua Prucnal '16
Rachel Childress '14
Webb Institute Webb Institute Clippers 5 5 7 1 5 1 4 12 6 11 11 9 77 Nathan Fast '14 [1-8]
James Codega '14 [9-12]
James Codega '14 [1-8]
Erin Hub '16 [9-12]
Syracuse University Syracuse University Orange 6 6 6 9 4 7 6 4 8 10 6 8 80 Andrew Murphy '14
Patrick Stege '14
Virginia Tech Virginia Tech Hokies 11 8 8 8 6 5 12 5 7 6 8 6 90 Nicholas Price '16
Rose Peterson '16
Drexel University Drexel University Dragons 12 4 4 6 9 9 7 11 10 9 7 2 90 Joan Boyle '14 [1-12]
Stephen Ciccariello '13 [1-8]
Jakub Tyczynski '15 [9-12]
William and Mary William and Mary Tribe 4 11 9 11 11 12 10 8 5 3 4 3 91 Bill Parker '14 [1-4, 7-8]
Adam Siegel '15 [5-6, 9-12]
Diana Kong-Wasielewski '14 [1-4, 7-8]
Queen's University Queen's University Gaels 7 9 12 7 10 8 11 10 9 8 3 12 106 Hilary Grantmyre '15
Heather Richardson '13
St. John's College St. John's College Johnnies 10 10 10 12 12 10 8 6 11 7 9 5 110 Steven Ross '15 [1-8]
Cornell Lee '16 [9-12]
Cornell Lee '16 [1-8]
Steven Ross '15 [9-12]
University of Buffalo University of Buffalo Bulls 9 12 11 10 7 11 9 9 12 12 12 11 125 Andrew Green '14
Leonard Arambam '16
SchoolTeam R1 R2 R3 R4 R5 R6 R7 R8 R9 R10 R11 R12 TOT Sailors
Fordham University Fordham University Rams 3 1 1 1 1 3 2 5 5 4 6 1 33 Connor Godfrey '16
Jennifer Irwin '15
University of Virginia University of Virginia Wahoos 1 3 8 3 2 7 4 3 2 3 1 2 39 Christopher Stessing '14
Sarah Hendrickson '16
University of Pennsylvania University of Pennsylvania Quakers 4 2 2 6 3 1 1 1 3 5 3 8 39 Christina Johns '13
Jose -Maria Barrero '13
Drexel University Drexel University Dragons 2 5 5 7 4 2 5 7 6 7 2 4 56 Chris Myers '15 [1-12]
Jakub Tyczynski '15 [1-8]
Tracy Venella '16 [9-12]
William and Mary William and Mary Tribe 6 6 3 5 8 6 6 2 4 1 9 5 61 Scott Guinn '15
Delaney Osborn '13
Webb Institute Webb Institute Clippers 7 4 7 2 5 5 3 6 12 6 5 3 65 Douglas Zangre '13 [1-12]
Michael Larose '13 [1-8]
Marc Smith '13 [9-12]
University of Buffalo University of Buffalo Bulls 10 10 4 8 7 4 8 4 1 2 10 10 78 Dante Iozzo '16
Cem Ayanoglu '15
Syracuse University Syracuse University Orange 5 7 9 4 10 10 7 8 10 9 4 6 89 Harmen Rockler '13
Meghan Ross '15
Queen's University Queen's University Gaels 8 8 10 10 6 8 9 9 7 8 8 7 98 Anders Brown '14
Sean Magee-Saxton '16
University of Maryland University of Maryland Terps 9 9 6 9 9 9 11 10 11 11 7 9 110 Jackson Dunitz '16
Abigail Lundahl '15
Virginia Tech Virginia Tech Hokies 11 11 11 11 11 11 10 11 8 10 12 11 128 George Uehling '15
Benjamin Hayes '16
St. John's College St. John's College Johnnies 12 12 12 12 DNF 12 12 12 9 12 11 12 141 Branham Talton '15 [1-12]
Crystal Clawson '13 [1-2, 5-6, 9-10]
Hayden Pendergrass '14 [3-4, 7-8, 11-12]
Boat Speed Analyzer
SlowExpected boat effectFast
−0.050+0.05
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 2012 (1 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

Team1A2A3A4A5A6A7A8A9A10A11A12A
University of BuffaloUniversity of Buffalo Bulls77991111113355
Drexel UniversityDrexel University Dragons11335577991111
Fordham UniversityFordham University Rams2244668810101212
University of MarylandUniversity of Maryland Terps33557799111111
University of PennsylvaniaUniversity of Pennsylvania Quakers8810101212224466
Queen's UniversityQueen's University Gaels4466881010121222
St. John's CollegeSt. John's College Johnnies55779911111133
Syracuse UniversitySyracuse University Orange6688101012122244
University of VirginiaUniversity of Virginia Wahoos99111111335577
Virginia TechVirginia Tech Hokies1010121222446688
Webb InstituteWebb Institute Clippers11111133557799
William and MaryWilliam and Mary Tribe1212224466881010

Division B

Team1B2B3B4B5B6B7B8B9B10B11B12B
University of BuffaloUniversity of Buffalo Bulls8810101212224466
Drexel UniversityDrexel University Dragons2244668810101212
Fordham UniversityFordham University Rams33557799111111
University of MarylandUniversity of Maryland Terps4466881010121222
University of PennsylvaniaUniversity of Pennsylvania Quakers99111111335577
Queen's UniversityQueen's University Gaels55779911111133
St. John's CollegeSt. John's College Johnnies6688101012122244
Syracuse UniversitySyracuse University Orange77991111113355
University of VirginiaUniversity of Virginia Wahoos1010121222446688
Virginia TechVirginia Tech Hokies11111133557799
Webb InstituteWebb Institute Clippers1212224466881010
William and MaryWilliam and Mary Tribe11335577991111
School / Team SkipperCrew
Drexel University Drexel University Joan Boyle '14 [1-12] Stephen Ciccariello '13 [1-8]
Jakub Tyczynski '15 [9-12]
Dragons Chris Myers '15 [1-12] Jakub Tyczynski '15 [1-8]
Tracy Venella '16 [9-12]
Fordham University Fordham University Alex Jacob '16 Emma Pfohman '13
Rams Connor Godfrey '16 Jennifer Irwin '15
Queen's University Queen's University Hilary Grantmyre '15 Heather Richardson '13
Gaels Anders Brown '14 Sean Magee-Saxton '16
St. John's College St. John's College Steven Ross '15 [1-8]
Cornell Lee '16 [9-12]		 Cornell Lee '16 [1-8]
Steven Ross '15 [9-12]
Johnnies Branham Talton '15 [1-12] Crystal Clawson '13 [1-2, 5-6, 9-10]
Hayden Pendergrass '14 [3-4, 7-8, 11-12]
Syracuse University Syracuse University Andrew Murphy '14 Patrick Stege '14
Orange Harmen Rockler '13 Meghan Ross '15
University of Buffalo University of Buffalo Andrew Green '14 Leonard Arambam '16
Bulls Dante Iozzo '16 Cem Ayanoglu '15
University of Maryland University of Maryland Joshua Prucnal '16 Rachel Childress '14
Terps Jackson Dunitz '16 Abigail Lundahl '15
University of Pennsylvania University of Pennsylvania Michael Russom '13 Meaghan Harding '16
Quakers Christina Johns '13 Jose -Maria Barrero '13
University of Virginia University of Virginia Gordon Wolcott '13 Alexandra Brenin '15
Wahoos Christopher Stessing '14 Sarah Hendrickson '16
Virginia Tech Virginia Tech Nicholas Price '16 Rose Peterson '16
Hokies George Uehling '15 Benjamin Hayes '16
Webb Institute Webb Institute Nathan Fast '14 [1-8]
James Codega '14 [9-12]		 James Codega '14 [1-8]
Erin Hub '16 [9-12]
Clippers Douglas Zangre '13 [1-12] Michael Larose '13 [1-8]
Marc Smith '13 [9-12]
William and Mary William and Mary Bill Parker '14 [1-4, 7-8]
Adam Siegel '15 [5-6, 9-12]		 Diana Kong-Wasielewski '14 [1-4, 7-8]
Tribe Scott Guinn '15 Delaney Osborn '13

Conditions — 11/03/2012 (8am–6pm)

☀️Clear sky
Humidity 55%  ·  Pressure 1017.0 hPa

Temperature

48°F
↑ 52°F   ↓ 41°F
Feels like 40°F

Wind

● from   ▲ toward
8.1 kn
avg  ·  max 9.6 kn
Gusts to 21.2 kn
From NW (309°)

Sky & Precipitation

Cloud cover2% Sunshine10.0 hrs Humidity55% Pressure1017.0 hPa

Orderliness — underdogs or favourites?

Breeze: NW 11 kn · N 5 kn (weather reanalysis in the scorer’s units)
In this breeze at William and Mary: an underdogs’ day (−0.09)
Expect upsets: lower-rated teams have a better chance of beating the seeds, and the fleet bunches up.
Fleet adjustment +0.04 (a softer or greener fleet makes the ratings stick) · combined forecast −0.05
Actual: about typical, within noise (−0.07 ± 0.09)

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 ±0.09 means a rating gap counts about 8% 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 William and Mary by wind direction (angle) and speed (rings), fitted surface; dots are labelled regatta-days, ★ this regatta (only 10 labelled days at William and Mary, 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 →