Navigate

Jeff Simon Women's

# SchoolTeam A B TOT
1 University of California at Santa Barbara University of California at Santa Barbara Gauchos 13 14 27
2 University of Hawaii University of Hawaii Rainbows 25 24 49
3 University of California at Berkeley University of California at Berkeley Bears 30 28 58
4 Cal Poly University S.L.O. Cal Poly University S.L.O. Mustangs 31 34 65
5 San Diego State University San Diego State University Aztecs 41 39 80
6 University of California at Santa Cruz University of California at Santa Cruz Banana Slugs 55 53 108
7 University of California at San Diego University of California at San Diego Tritons 57 60 117
SchoolTeam R1 R2 R3 R4 R5 R6 R7 R8 R9 TOT Sailors
University of California at Santa Barbara University of California at Santa Barbara Gauchos 1 1 2 2 1 1 1 3 1 13 Evelyn Engebretson '28
Annesley Krawitt '28
University of Hawaii University of Hawaii Rainbows 3 3 1 3 2 3 2 4 4 25 Kahlia Bailey '25
Kylie Alexander '26
University of California at Berkeley University of California at Berkeley Bears 4 5 3 1 5 4 4 1 3 30 Selah Dorn '29
Bianca Weber '26
Cal Poly University S.L.O. Cal Poly University S.L.O. Mustangs 2 2 5 4 4 2 3 7 2 31 Marina Priskich '29
Lola Audan '29
San Diego State University San Diego State University Aztecs 6 4 6 5 3 5 5 2 5 41 Sophia Cerretti '28
Sofia Dorman '27
University of California at Santa Cruz University of California at Santa Cruz Banana Slugs 5 7 7 6 7 6 6 5 6 55 Anjali Venugopalan '29
Kayla Doherty '28
University of California at San Diego University of California at San Diego Tritons 7 6 4 7 6 7 7 6 7 57 Savannah Sloan '28
Sarah Lim '28
SchoolTeam R1 R2 R3 R4 R5 R6 R7 R8 R9 TOT Sailors
University of California at Santa Barbara University of California at Santa Barbara Gauchos 2 2 1 2 1 3 1 1 1 14 Hailey Thompson '27
Renee Lehto '29
University of Hawaii University of Hawaii Rainbows 3 6 2 1 2 1 2 2 5 24 Elin Reigstad '28
Jenna Englehart '28
University of California at Berkeley University of California at Berkeley Bears 4 3 4 3 3 2 3 4 2 28 Annika Baumgartner '28
Aliyah Al-Khafaji '27
Cal Poly University S.L.O. Cal Poly University S.L.O. Mustangs 1 5 3 4 4 4 7 3 3 34 Brynn Jolly '29
Claire Wiley '27
San Diego State University San Diego State University Aztecs 5 1 5 5 5 5 4 5 4 39 Marley Daniel '27
Corinne Solsby '28
University of California at Santa Cruz University of California at Santa Cruz Banana Slugs 6 4 7 6 7 6 5 6 6 53 Anya Knoepp '28
Emilia Mcnabb '28
University of California at San Diego University of California at San Diego Tritons 7 7 6 7 6 7 6 7 7 60 Tessa Steinke '29
Lauren Safyurtlu '26
Boat Speed Analyzer
SlowExpected boat effectFast
−0.130+0.13
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 2012 (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

Team1A2A3A4A5A6A7A8A9A
University of California at BerkeleyUniversity of California at Berkeley Bears125125125125125125125125125
Cal Poly University S.L.O.Cal Poly University S.L.O. Mustangs333333333
University of HawaiiUniversity of Hawaii Rainbows363636363636363636
San Diego State UniversitySan Diego State University Aztecs161616161616161616
University of California at San DiegoUniversity of California at San Diego Tritons295295295295295295295295295
University of California at Santa BarbaraUniversity of California at Santa Barbara Gauchos132132132132132132132132132
University of California at Santa CruzUniversity of California at Santa Cruz Banana Slugs292929292929292929

Division B

Team1B2B3B4B5B6B7B8B9B
University of California at BerkeleyUniversity of California at Berkeley Bears125125125125125125125125125
Cal Poly University S.L.O.Cal Poly University S.L.O. Mustangs333333333
University of HawaiiUniversity of Hawaii Rainbows363636363636363636
San Diego State UniversitySan Diego State University Aztecs161616161616161616
University of California at San DiegoUniversity of California at San Diego Tritons295295295295295295295295295
University of California at Santa BarbaraUniversity of California at Santa Barbara Gauchos132132132132132132132132132
University of California at Santa CruzUniversity of California at Santa Cruz Banana Slugs292929292929292929

Conditions — 01/24/2026 (8am–6pm)

🌤️Mainly clear
Humidity 79%  ·  Pressure 1012.3 hPa

Temperature

59°F
↑ 60°F   ↓ 56°F
Feels like 58°F

Wind

● from   ▲ toward
4.3 kn
avg  ·  max 5.8 kn
Gusts to 14.8 kn
From WNW (285°)

Sky & Precipitation

Cloud cover46% Sunshine8.4 hrs Humidity79% Pressure1012.3 hPa Rain0.01 in

Orderliness — underdogs or favourites?

Breeze: W 7 kn · SW 5 kn (weather reanalysis in the scorer’s units)
In this breeze at UC San Diego: a strongly underdogs’ day (−0.12)
Expect upsets: lower-rated teams have a better chance of beating the seeds, and the fleet bunches up.
Fleet adjustment +0.09 (a softer or greener fleet makes the ratings stick) · combined forecast −0.04
Actual: about typical, within noise (+0.07 ± 0.16)

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 ±0.12 means a rating gap counts about 11% 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 UC San Diego by wind direction (angle) and speed (rings), fitted surface; dots are labelled regatta-days, ★ this regatta (21 labelled days at UC San Diego).

From the notes

Short write-ups of what the ratings and results show, with the numbers and how they were computed.

All notes →