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Princeton Spring Open

# SchoolTeam A B TOT
1 Princeton University Princeton University Tigers 2 13 6 19
2 Princeton University Princeton University Tigers 1 9 11 20
3 Rochester Institute of Technology Rochester Institute of Technology Tigers 9 15 24
4 Villanova University Villanova University Wildcats 25 21 46
5 University of Maryland/Baltimore County University of Maryland/Baltimore County Retrievers 23 25 48
6 American University American University Eagles 26 27 53
SchoolTeam R1 R2 R3 R4 R5 TOT Sailors
Princeton University Princeton University Tigers 1 1 1 1 3 3 9 Asher Green '24
Skylor Wong '26
Rochester Institute of Technology Rochester Institute of Technology Tigers 2 2 2 1 2 9 Cameron Turner '24
John Wynne '25
Princeton University Princeton University Tigers 2 3 4 3 2 1 13 Sebastien Nordenson '27
Virginia Cobbs '25
University of Maryland/Baltimore County University of Maryland/Baltimore County Retrievers 4 3 6 5 5 23 Henry Powell '26 [1-5]
Vaughan Hood '24 [1-3]
Sophie Berger '25 [4-5]
Villanova University Villanova University Wildcats 6 6 5 4 4 25 Julia Gordon '27 [1-5]
Ella Kilgore '25 [1-3]
Eilis Casey '24 [4-5]
American University American University Eagles 5 5 4 6 6 26 Brooke Lorson '27 [1-5]
Julia Kane '25 [1-3]
Mia Atkinson '24 [4-5]
SchoolTeam R1 R2 R3 R4 R5 TOT Sailors
Princeton University Princeton University Tigers 2 1 1 2 1 1 6 Berkley Yiu '25 [1-5]
William Surringa '26 [1-3]
Jaden Sharp '26 [4-5]
Princeton University Princeton University Tigers 1 3 3 1 2 2 11 Bracklinn Williams '25
Victoria Davies '27
Rochester Institute of Technology Rochester Institute of Technology Tigers 2 2 3 3 5 15 Ashley Franklin '27 [1-3]
Alden Burt '28 [4-5]
Sadie Goldberg '26 [1-3]
Villanova University Villanova University Wildcats 4 5 5 4 3 21 Julia Priebke '25 [1-5]
Bobby Stevens '25 [1-3]
Carina Hosford '26 [4-5]
University of Maryland/Baltimore County University of Maryland/Baltimore County Retrievers 5 6 4 6 4 25 John Tis '24
Grace Hartman '24
American University American University Eagles 6 4 6 5 6 27 Ella Lane '25 [1-5]
Ella Napolitano '26 [1-3]
Edie Pressel '26 [4-5]
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 2013 (10 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
American UniversityAmerican University Eagles66688
University of Maryland/Baltimore CountyUniversity of Maryland/Baltimore County Retrievers10101066
Princeton UniversityPrinceton University Tigers 177799
Princeton UniversityPrinceton University Tigers 28881010
Rochester Institute of TechnologyRochester Institute of Technology Tigers9991111
Villanova UniversityVillanova University Wildcats11111177

Division B

Team1B2B3B4B5B
American UniversityAmerican University Eagles77799
University of Maryland/Baltimore CountyUniversity of Maryland/Baltimore County Retrievers11111177
Princeton UniversityPrinceton University Tigers 18881010
Princeton UniversityPrinceton University Tigers 29991111
Rochester Institute of TechnologyRochester Institute of Technology Tigers10101066
Villanova UniversityVillanova University Wildcats66688

Conditions — 03/24/2024 (8am–6pm)

☀️Clear sky
Humidity 42%  ·  Pressure 1025.1 hPa

Temperature

42°F
↑ 48°F   ↓ 30°F
Feels like 35°F

Wind

● from   ▲ toward
5.7 kn
avg  ·  max 8.7 kn
Gusts to 20.8 kn
From NNE (13°)

Sky & Precipitation

Cloud cover0% Sunshine11.0 hrs Humidity42% Pressure1025.1 hPa

Orderliness — underdogs or favourites?

Breeze: NE 9 kn (scorer’s report)
In this breeze at Princeton: a typical day (+0.00)
Nothing in the breeze favours either side; expect results to follow the ratings about as usual.
Fleet adjustment +0.11 (a softer or greener fleet makes the ratings stick) · combined forecast +0.11
Actual: about typical, within noise (+0.33 ± 0.25)

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 ±0.00 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 Princeton by wind direction (angle) and speed (rings), fitted surface; dots are labelled regatta-days, ★ this regatta (only 5 labelled days at Princeton, 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 →