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Mustang Women's

# SchoolTeam A B TOT
1 Cal Poly University S.L.O. Cal Poly University S.L.O. Mustangs 6 15 21
2 University of California at Berkeley University of California at Berkeley Bears 13 11 24
3 University of California at San Diego University of California at San Diego Tritons 16 10 26
SchoolTeam R1 R2 R3 R4 R5 R6 TOT Sailors
Cal Poly University S.L.O. Cal Poly University S.L.O. Mustangs 1 1 1 1 1 1 6 Florence Duff '25
Chloe Schofield '23
University of California at Berkeley University of California at Berkeley Bears BYE 2 3 2 2 2 13 Alyssa Cunningham Barkus '26
Tessa Greene '26
University of California at San Diego University of California at San Diego Tritons 2 3 2 3 3 3 16 Amanda Brooks '23
Nina Folz '23
SchoolTeam R1 R2 R3 R4 R5 R6 TOT Sailors
University of California at San Diego University of California at San Diego Tritons 2 1 2 1 2 2 10 Cassie Halaszynski '25
Audra Spokas-Jaros '25
University of California at Berkeley University of California at Berkeley Bears 1 3 1 2 3 1 11 Sophia Jacobs '23 [1-6]
Madalyn Gordon '25 [1-3, 6]
Tammy Le '25 [4-5]
Cal Poly University S.L.O. Cal Poly University S.L.O. Mustangs 3 2 3 3 1 3 15 Sienna Stromberg '25
Maura Darby '25
Boat Speed Analyzer
SlowExpected boat effectFast
−0.140+0.14
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 2015 (8 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

Team1A2A3A4A5A6A
University of California at BerkeleyUniversity of California at Berkeley Bears242424242424
University of California at San DiegoUniversity of California at San Diego Tritons303030303030

Division B

Team1B2B3B4B5B6B
University of California at BerkeleyUniversity of California at Berkeley Bears242424242424
University of California at San DiegoUniversity of California at San Diego Tritons303030303030

Conditions — 02/25/2023 (8am–6pm)

🌦️Light drizzle
Humidity 83%  ·  Pressure 1012.3 hPa

Temperature

37°F
↑ 39°F   ↓ 31°F
Feels like 32°F

Wind

● from   ▲ toward
2.6 kn
avg  ·  max 3.9 kn
Gusts to 10.7 kn
From SSW (196°)

Sky & Precipitation

Cloud cover84% Sunshine8.2 hrs Humidity83% Pressure1012.3 hPa Rain0.04 in Snow0.50 in

What this breeze does at Cal Poly — from fleet racing

Breeze: S about 6 kn (weather reanalysis in the scorer’s units)
In fleet races at Cal Poly in this breeze: a strongly favourites’ day (+0.13)
Favourites’ conditions: in fleet racing here the results follow the ratings more closely than usual, and the top seeds hold their places.

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 ±0.13 means a rating gap counts about 11% more 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 Cal Poly by wind direction (angle) and speed (rings), fitted surface; dots are labelled regatta-days, ★ this regatta (only 4 labelled days at Cal Poly, 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 →