Teach Memorial

# SchoolTeam TOT
1 Hampton University Hampton University Pirates 77
2 University of Virginia University of Virginia Wahoos 107
3 William and Mary William and Mary Tribe 134
4 Virginia Tech Virginia Tech Hokies 167
5 University of Maryland/Baltimore County University of Maryland/Baltimore County Retrievers 238
6 American University American University Eagles 261
7 University of Pittsburgh University of Pittsburgh Pitt Panthers 320
8 Gannon University Gannon University Knights 348
SchoolTeam R1 R2 R3 R4 R5 R6 R7 R8 R9 R10 R11 R12 TOT Sailors
Hampton University Hampton University Pirates B 1 1 1 2 1 5 6 5 1 2 1 1 27 Maximilian Kuester '18 [1-12]
Joshua Williams '16 [1-4, 7-12]
Miles Braden '17 [5-6]
William and Mary William and Mary Tribe A 5 5 6 3 6 3 3 4 2 4 4 3 48 Patrick Mazzeo '18
Rachel Pinkham '16
Hampton University Hampton University Pirates A 3 2 3 4 2 DSQ 4 1 4 5 3 2 50 Luca Taglialegne '20
Elisabeth Kuester '19
University of Virginia University of Virginia Wahoos B 2 3 4 DSQ 3 4 1 2 7 1 2 5 51 Colin Suvak '19 [1-12]
Anna Louise Devanny '17 [1-2]
Colleen Roney '18 [3-12]
University of Virginia University of Virginia Wahoos A 6 6 2 1 5 1 2 3 5 8 13 4 56 Victor Rodriguez '19 [1-12]
Ian Palmer '19 [1-4]
Anna Louise Devanny '17 [5-10]
Charlotte Hennessy '19 [11-12]
Virginia Tech Virginia Tech Hokies A 4 4 5 5 4 2 5 6 8 3 5 7 58 Ashley Black '17
Katherine Roberts '18
William and Mary William and Mary Tribe B 8 7 9 6 8 7 7 7 3 11 7 6 86 Elizabeth Kelley '17
Daniel Powers '18
University of Maryland/Baltimore County University of Maryland/Baltimore County Retrievers A 9 9 7 8 9 6 9 8 6 7 11 10 99 Nathan Thompson '17
Tina Nassehi '17
Virginia Tech Virginia Tech Hokies B 7 8 8 7 7 12 8 10 12 12 9 9 109 Donald Anderson '17
Benjamin Hayes '16
American University American University Eagles A 13 10 10 10 11 9 10 9 9 9 6 8 114 Audrey Milite '18
Isabella Jorgensen '18
University of Pittsburgh University of Pittsburgh Pitt Panthers A 12 14 12 9 12 10 12 12 14 10 8 12 137 Steven Cefalu '16 [1-12]
Elizabeth Mattingly '18 [1-6]
Cole Finton '17 [7-12]
University of Maryland/Baltimore County University of Maryland/Baltimore County Retrievers B 10 12 14 11 10 8 11 11 13 14 14 11 139 Lucas Thompson '17
Ben Fosbaugh '17
American University American University Eagles B 11 11 11 12 14 DNS DNF 13 10 6 12 13 147 Alexander Wade '18
Anna Ferrara '18
Gannon University Gannon University Knights A DNF 13 13 13 13 11 13 14 11 13 10 14 155 Andrea Swagler '17
Helene Abrams '18
University of Pittsburgh University of Pittsburgh Pitt Panthers B DNF 16 15 DNF 15 13 15 15 15 15 15 15 183 Mike Iasella '17
Jack Krivitsky '19
Gannon University Gannon University Knights B 14 15 DNF DNS DNF DNS 14 16 16 16 DNF DNS 193 Holly Frick '18 [1-6]
No Show [7-12]
Mark Fagley '18 [1-6]
Evan Johnson '16 [7-12]
Boat Speed Analyzer
SlowExpected boat effectFast
−0.180+0.18
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 (12 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
American UniversityAmerican University Eagles112233445566
Gannon UniversityGannon University Knights223344556677
Hampton UniversityHampton University Pirates334455667788
University of Maryland/Baltimore CountyUniversity of Maryland/Baltimore County Retrievers445566778899
University of PittsburghUniversity of Pittsburgh Pitt Panthers55667788991010
University of VirginiaUniversity of Virginia Wahoos6677889910101111
Virginia TechVirginia Tech Hokies778899101011111212
William and MaryWilliam and Mary Tribe88991010111112121313

Division B

Team1B2B3B4B5B6B7B8B9B10B11B12B
American UniversityAmerican University Eagles9910101111121213131414
Gannon UniversityGannon University Knights101011111212131314141515
Hampton UniversityHampton University Pirates111112121313141415151616
University of Maryland/Baltimore CountyUniversity of Maryland/Baltimore County Retrievers1212131314141515161611
University of PittsburghUniversity of Pittsburgh Pitt Panthers13131414151516161122
University of VirginiaUniversity of Virginia Wahoos141415151616112233
Virginia TechVirginia Tech Hokies1515161611223344
William and MaryWilliam and Mary Tribe16161122334455

Conditions — 09/05/2015 (8am–6pm)

🌤️Partly cloudy
Humidity 73%  ·  Pressure 1020.8 hPa

Temperature

78°F
↑ 80°F   ↓ 74°F
Feels like 79°F

Wind

● from   ▲ toward
12.7 kn
avg  ·  max 14.3 kn
Gusts to 27.8 kn
From NE (56°)

Sky & Precipitation

Cloud cover63% Sunshine10.2 hrs Humidity73% Pressure1020.8 hPa

Orderliness — underdogs or favourites?

Breeze: NE 17 kn · NE 8 kn (scorer’s report)
In this breeze at Hampton: a strongly favourites’ day (+0.10)
Back the top seeds: results should follow the ratings, and the gaps between favourites hold.
Fleet adjustment +0.16 (a softer or greener fleet makes the ratings stick) · combined forecast +0.26
Actual: a strongly favourites’ day (+0.26 ± 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 ±0.10 means a rating gap counts about 9% 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 Hampton by wind direction (angle) and speed (rings), fitted surface; dots are labelled regatta-days, ★ this regatta (26 labelled days at Hampton).

From the notes

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

All notes →