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# SchoolTeam A B TOT
1 Christopher Newport University Christopher Newport University Captains 5 17 22
2 University of Maryland University of Maryland Terps 17 10 27
3 University of Virginia University of Virginia Wahoos 17 17 34
4 William and Mary William and Mary Tribe 25 13 38
5 Virginia Tech Virginia Tech Hokies 21 18 39
6 Catholic University of America Catholic University of America Cardinals 22 31 53
7 University of Pittsburgh University of Pittsburgh Panthers 33 35 68
SchoolTeam R1 R2 R3 R4 R5 TOT Sailors
Christopher Newport University Christopher Newport University Captains 1 1 1 1 1 5 David Grace '23
Ellie Mcfall '24
University of Maryland University of Maryland Terps 2 3 5 5 2 17 Jared Cohen '25
Hayden Lamb '24
University of Virginia University of Virginia Wahoos 3 7 2 2 3 17 Marco Centanaro Garcia '23 [1-5]
Benjamin Garretson '24 [1-2]
Sarah Besecky '23 [3-5]
Virginia Tech Virginia Tech Hokies 5 5 3 4 4 21 Aidan Young '24 [1-5]
Caleb Mcginn '23 [1-4]
Brock Diaz '23 [5]
Catholic University of America Catholic University of America Cardinals 4 4 4 3 7 22 Alex Walters '22 [1-5]
Eilis Mccormick '23 [1-4]
Christian Smith '25 [5]
William and Mary William and Mary Tribe 6 2 6 6 5 25 Julia Hudson '24 [1-5]
Clare Fenelon '22 [1-2]
Katherine Perriello '25 [3-4]
Daniel Shpigel '25 [5]
University of Pittsburgh University of Pittsburgh Panthers 7 6 7 7 6 33 Stanley Galloway '22
Zikuan Dong '23
SchoolTeam R1 R2 R3 R4 R5 TOT Sailors
University of Maryland University of Maryland Terps 3 1 1 3 2 10 Brian Zagalsky '25
Eric Garvey '23
William and Mary William and Mary Tribe 2 3 2 2 4 13 Sam Dutilly '24 [1-5]
Peyton Bernstein '24 [1-2]
Roger Clanton '22 [3-5]
University of Virginia University of Virginia Wahoos 4 5 3 4 1 17 Maxwell Penders '25 [1-5]
Katherine Newton '24 [1-2, 5]
Katherine Driebe '24 [3-4]
Christopher Newport University Christopher Newport University Captains 5 4 4 1 3 17 Gail Schneider '25
Shelby Svilich '23
Virginia Tech Virginia Tech Hokies 1 2 5 5 5 18 James Corckran '23 [1-2]
Malik Deslauriers '24 [3-5]
Brock Diaz '23 [1-2]
Maya Moschallski '25 [3-5]
Catholic University of America Catholic University of America Cardinals 6 6 6 6 7 31 Levi Nathans '23 [1-5]
Faith Dickerson '25 [1-4]
Jane Pilato '23 [5]
University of Pittsburgh University of Pittsburgh Panthers 7 7 DNS 7 6 35 Kelly Katilius '25 [1-4]
Risa Bodkin '22 [5]
Risa Bodkin '22 [1-4]
Kelly Katilius '25 [5]
Boat Speed Analyzer
SlowExpected boat effectFast
−0.080+0.08
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 2014 (14 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

Team1A2A3A4A5A
Catholic University of AmericaCatholic University of America Cardinals11335
Christopher Newport UniversityChristopher Newport University Captains22446
University of MarylandUniversity of Maryland Terps33557
University of PittsburghUniversity of Pittsburgh Panthers44661
University of VirginiaUniversity of Virginia Wahoos55772
Virginia TechVirginia Tech Hokies66113
William and MaryWilliam and Mary Tribe77224

Division B

Team1B2B3B4B5B
Catholic University of AmericaCatholic University of America Cardinals22446
Christopher Newport UniversityChristopher Newport University Captains33557
University of MarylandUniversity of Maryland Terps44661
University of PittsburghUniversity of Pittsburgh Panthers55772
University of VirginiaUniversity of Virginia Wahoos66113
Virginia TechVirginia Tech Hokies77224
William and MaryWilliam and Mary Tribe11335

Conditions — 04/02/2022 (8am–6pm)

☀️Clear sky
Humidity 44%  ·  Pressure 1020.1 hPa

Temperature

52°F
↑ 58°F   ↓ 43°F
Feels like 48°F

Wind

● from   ▲ toward
3.4 kn
avg  ·  max 7.0 kn
Gusts to 17.1 kn
From WNW (295°)

Sky & Precipitation

Cloud cover35% Sunshine11.0 hrs Humidity44% Pressure1020.1 hPa

Orderliness — underdogs or favourites?

Breeze: W 6 kn · W 12 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 +0.07 (a softer or greener fleet makes the ratings stick) · combined forecast −0.01
Actual: about typical, within noise (+0.09 ± 0.29)

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 7% 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 →