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Women's PCCs

# SchoolTeam A B TOT
1 Stanford University Stanford University Cardinal 37 10 47
2 University of Southern California University of Southern California Trojans 30 40 70
3 California Maritime Academy California Maritime Academy Keelhaulers 20 53 73
4 Cal Poly University S.L.O. Cal Poly University S.L.O. Mustangs 30 50 80
5 University of California at Berkeley University of California at Berkeley Bears 50 44 94
6 University of Hawaii University of Hawaii Rainbows 58 39 97
7 University of California at Los Angeles University of California at Los Angeles Bruins 64 49 113
8 University of California at Santa Barbara University of California at Santa Barbara Gauchos 62 55 117
9 University of California at Santa Cruz University of California at Santa Cruz Banana Slugs 54 66 120
SchoolTeam R1 R2 R3 R4 R5 R6 R7 R8 R9 TOT Sailors
California Maritime Academy California Maritime Academy Keelhaulers 7 1 3 1 1 1 4 1 1 20 Emi Stephanoff '21
Gabrielle Harrington '23
Cal Poly University S.L.O. Cal Poly University S.L.O. Mustangs 1 2 1 2 5 6 6 2 5 30 Alyson Crowley '20
Maddie Roman '20
University of Southern California University of Southern California Trojans 2 4 2 3 4 5 1 3 6 30 Grace Yakutis '20
Lorea Mendiguren '20
Stanford University Stanford University Cardinal 3 7 4 4 2 2 3 5 7 37 Anaclare Sole '23
Patricia Gerli '23
University of California at Berkeley University of California at Berkeley Bears 8 6 5 7 7 4 5 4 4 50 Kingsley Ehrich '23 [1-9]
Marlena Tavernier-Fine '22 [1-2, 5-6]
Lindsea Hayes '22 [3-4]
Sarah Paulsen '20 [7-9]
University of California at Santa Cruz University of California at Santa Cruz Banana Slugs 4 5 6 6 3 8 8 6 8 54 Keelin Davis '21
Sofia Mack '20
University of Hawaii University of Hawaii Rainbows 5 8 7 8 9 3 7 8 3 58 Hayden Lahr '22 [1-9]
Isabelle Anderson '20 [1-6]
Sophie Deming '20 [7-9]
University of California at Santa Barbara University of California at Santa Barbara Gauchos 9 3 8 5 8 9 9 9 2 62 Francesca Alegre I Parellada '20 [1-9]
Julia Roudebush '23 [1-4, 9]
Aine Roonan '21 [5-8]
University of California at Los Angeles University of California at Los Angeles Bruins 6 9 9 9 6 7 2 7 9 64 Maddy Kuhn '20
Mary Jane Howland '22
SchoolTeam R1 R2 R3 R4 R5 R6 R7 R8 R9 TOT Sailors
Stanford University Stanford University Cardinal 1 1 1 1 1 1 1 1 2 10 Hallie Schiffman '23
Laurel Foster '22
University of Hawaii University of Hawaii Rainbows 3 5 4 8 4 4 5 2 4 39 Kahala Novak-Furukawa '22
Danielle Ahir '20
University of Southern California University of Southern California Trojans 4 6 2 4 3 8 8 4 1 40 Diya Correa '22
Lauren Lopez '20
University of California at Berkeley University of California at Berkeley Bears 2 2 9 7 2 6 7 6 3 44 Katey Hayes '20 [1-9]
Sarah Paulsen '20 [1-4]
Lindsea Hayes '22 [5-8]
Marlena Tavernier-Fine '22 [9]
University of California at Los Angeles University of California at Los Angeles Bruins 5 8 7 9 6 3 3 3 5 49 Cassandra Shand '22
Hallie Muller '20
Cal Poly University S.L.O. Cal Poly University S.L.O. Mustangs 6 3 8 2 8 7 4 5 7 50 Tara Rogers '23
Ellie Bonnie '22
California Maritime Academy California Maritime Academy Keelhaulers 7 7 5 6 7 2 2 8 9 53 Hailey Thompson '22
Hannah Hill '23
University of California at Santa Barbara University of California at Santa Barbara Gauchos 8 4 3 5 5 9 6 7 8 55 Sophia Jacobs '23 [1-2, 7-8]
Catherine Reynolds '22 [3-6, 9]
Sophie Thompson '21 [1-2, 7-9]
Sophia Jacobs '23 [3-6]
University of California at Santa Cruz University of California at Santa Cruz Banana Slugs 9 9 6 3 9 5 9 DNF 6 66 Alexis Miller '20
Kathryn Lewis '22
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 (9 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

Team1A2A3A4A5A6A7A8A9A
University of California at BerkeleyUniversity of California at Berkeley Bears2020222224244419
California Maritime AcademyCalifornia Maritime Academy Keelhaulers20202020222224244
Cal Poly University S.L.O.Cal Poly University S.L.O. Mustangs44191921212323103
University of HawaiiUniversity of Hawaii Rainbows2424441919212123
University of Southern CaliforniaUniversity of Southern California Trojans10310320202020222224
Stanford UniversityStanford University Cardinal19192121232310310320
University of California at Los AngelesUniversity of California at Los Angeles Bruins21212323103103202020
University of California at Santa BarbaraUniversity of California at Santa Barbara Gauchos2222242444191921
University of California at Santa CruzUniversity of California at Santa Cruz Banana Slugs23231031032020202022

Division B

Team1B2B3B4B5B6B7B8B9B
University of California at BerkeleyUniversity of California at Berkeley Bears21212323103103202020
California Maritime AcademyCalifornia Maritime Academy Keelhaulers19192121232310310320
Cal Poly University S.L.O.Cal Poly University S.L.O. Mustangs20202020222224244
University of HawaiiUniversity of Hawaii Rainbows10310320202020222224
University of Southern CaliforniaUniversity of Southern California Trojans44191921212323103
Stanford UniversityStanford University Cardinal2020222224244419
University of California at Los AngelesUniversity of California at Los Angeles Bruins2222242444191921
University of California at Santa BarbaraUniversity of California at Santa Barbara Gauchos23231031032020202022
University of California at Santa CruzUniversity of California at Santa Cruz Banana Slugs2424441919212123

Conditions — 10/26/2019 (8am–6pm)

🌤️Partly cloudy
Humidity 16%  ·  Pressure 1009.8 hPa

Temperature

79°F
↑ 86°F   ↓ 64°F
Feels like 73°F

Wind

● from   ▲ toward
4.0 kn
avg  ·  max 6.0 kn
Gusts to 15.7 kn
From NW (326°)

Sky & Precipitation

Cloud cover41% Sunshine10.6 hrs Humidity16% Pressure1009.8 hPa

Orderliness — underdogs or favourites?

Breeze: NW 7 kn · W 7 kn (weather reanalysis in the scorer’s units)
In this breeze at Cal Poly: a favourites’ day (+0.09)
Back the top seeds: results should follow the ratings, and the gaps between favourites hold.
Fleet adjustment −0.00 (an ordinary fleet) · combined forecast +0.08
Actual: about typical, within noise (+0.01 ± 0.15)

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% 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 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 →