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Princeton Women's Regatta

# SchoolTeam A B TOT
1 Fordham University Fordham University Rams 8 12 20
2 Princeton University Princeton University Tigers 17 20 37
3 Queen's University Queen's University Gaels 31 19 50
4 Ocean County College Ocean County College Vikings 28 29 57
SchoolTeam R1 R2 R3 R4 R5 R6 R7 R8 TOT Sailors
Fordham University Fordham University Rams 1 1 1 1 1 1 1 1 8 Amanda Stapp '18
Elizabeth Foulston '17
Princeton University Princeton University Tigers 2 3 2 2 2 2 2 2 17 Adrija Navarro '15
Margaret O'Rourke '16
Ocean County College Ocean County College Vikings 4 4 4 4 3 3 3 3 28 Maggie Morrow '17
Brittany Earley '16
Queen's University Queen's University Gaels 3 2 3 3 DNS DNS DNS DNS 31 Simone Larose '17
Isabella Mira '16
SchoolTeam R1 R2 R3 R4 R5 R6 R7 R8 TOT Sailors
Fordham University Fordham University Rams 1 1 1 1 2 1 3 2 12 Samantha Foulston '17
Bailey Fryer '18
Queen's University Queen's University Gaels 3 2 3 2 1 3 1 4 19 Kathryn Minkhorst '18
Denby Mcdonnell '17
Princeton University Princeton University Tigers 2 3 2 3 3 4 2 1 20 Lucy Hayes '16
Amara Plaza-Jennings '15
Ocean County College Ocean County College Vikings 4 4 4 4 4 2 4 3 29 Alexandra Stapienski '16
Mackenzie Kurten '15
Boat Speed Analyzer
SlowExpected boat effectFast
−0.060+0.06
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 (2 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

Team1A2A3A4A5A6A7A8A
Fordham UniversityFordham University Rams33441122
Ocean County CollegeOcean County College Vikings11223344
Princeton UniversityPrinceton University Tigers44112233
Queen's UniversityQueen's University Gaels22334411

Division B

Team1B2B3B4B5B6B7B8B
Fordham UniversityFordham University Rams33441122
Ocean County CollegeOcean County College Vikings11223344
Princeton UniversityPrinceton University Tigers44112233
Queen's UniversityQueen's University Gaels22334411

Conditions — 09/27/2014 (8am–6pm)

☀️Clear sky
Humidity 51%  ·  Pressure 1022.7 hPa

Temperature

75°F
↑ 82°F   ↓ 58°F
Feels like 75°F

Wind

● from   ▲ toward
3.4 kn
avg  ·  max 5.8 kn
Gusts to 10.9 kn
From NE (40°)

Sky & Precipitation

Cloud cover0% Sunshine11.0 hrs Humidity51% Pressure1022.7 hPa

What this breeze does at Princeton — from fleet racing

Breeze: NE about 6 kn (weather reanalysis in the scorer’s units)
In fleet races at Princeton in this breeze: an underdogs’ day (−0.04)
Underdogs’ conditions: in fleet racing here the fleet bunches up and lower-rated boats beat the seeds more often than usual.

Orderliness is how tightly a fleet race’s finishing order follows the pre-regatta ratings, relative to a typical event (0): positive is the favourites’ day, negative the underdogs’. A value of ±0.04 means a rating gap counts about 3% less than on a typical day. This event is not a fleet race the rating model scores, so there is no actual value for it: this is what this venue’s fleet racing history says about the breeze on the day, read off the chart at the star. 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 →