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Jeff Simon Memorial - Women's 1

# SchoolTeam A B TOT
1 University of Hawaii University of Hawaii Rainbows 2 11 4 15
2 University of California at Santa Barbara University of California at Santa Barbara Gauchos 9 11 20
3 University of Hawaii University of Hawaii Rainbows 1 10 18 28
4 University of California at San Diego University of California at San Diego Tritons 21 11 32
5 University of California at Los Angeles University of California at Los Angeles Bruins 12 28 40
6 San Diego State University San Diego State University Aztecs 21 22 43
7 Cal Poly University S.L.O. Cal Poly University S.L.O. Mustangs 28 20 48
8 Anteaters Anteaters Anteaters 52 MRP 50 MRP 102 MRP
9 Banana Slugs Banana Slugs Banana Slugs 60 MRP 60 MRP 120 MRP
SchoolTeam R1 R2 R3 R4 TOT Sailors
University of California at Santa Barbara University of California at Santa Barbara Gauchos 2 4 2 1 9 Molly Coghlin '25
Kaitlin Chan '23
University of Hawaii University of Hawaii Rainbows 1 1 3 4 2 10 Morgan Carew '25
Anna Kalabukhova '24
University of Hawaii University of Hawaii Rainbows 2 3 2 3 3 11 Mercy Tangredi '25
Taylor Ledgerwood '23
University of California at Los Angeles University of California at Los Angeles Bruins 6 1 1 4 12 Marianna Shand '24
Linnea Jackson '25
University of California at San Diego University of California at San Diego Tritons 4 6 5 6 21 Amanda Brooks '23
Nina Folz '23
San Diego State University San Diego State University Aztecs 5 5 6 5 21 Morgan Burton '23
Liza Veselova '23
Cal Poly University S.L.O. Cal Poly University S.L.O. Mustangs 7 7 7 7 28 Macy Rowe '23
Chloe Schofield '23
Anteaters Anteaters Anteaters 8 8 8 8 52 MRP
Banana Slugs Banana Slugs Banana Slugs DNS DNS DNS DNS 60 MRP
SchoolTeam R1 R2 R3 R4 TOT Sailors
University of Hawaii University of Hawaii Rainbows 2 1 1 1 1 4 Vivian Bonsager '25
Sophia Shaeffer '25
University of California at San Diego University of California at San Diego Tritons 2 3 2 4 11 Audra Spokas-Jaros '25
Stella Potter '26
University of California at Santa Barbara University of California at Santa Barbara Gauchos 3 2 3 3 11 Elizabeth Fourney '26
Leela Barlow '23
University of Hawaii University of Hawaii Rainbows 1 6 4 6 2 18 Katherine Shofran '23
Lily Simpson '24
Cal Poly University S.L.O. Cal Poly University S.L.O. Mustangs 4 5 5 6 20 Sienna Stromberg '25
Maura Darby '25
San Diego State University San Diego State University Aztecs 5 8 4 5 22 Tegan Smith '24
Paige Karsten '26
University of California at Los Angeles University of California at Los Angeles Bruins 8 6 7 7 28 Katherine Smith '24
Nitsa Thotz '26
Anteaters Anteaters Anteaters 7 7 8 8 50 MRP
Banana Slugs Banana Slugs Banana Slugs DNS DNS DNS DNS 60 MRP
Boat Speed Analyzer
SlowExpected boat effectFast
−0.210+0.21
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

Team1A2A3A4A
Cal Poly University S.L.O.Cal Poly University S.L.O. Mustangs1111
University of HawaiiUniversity of Hawaii Rainbows 18888
University of HawaiiUniversity of Hawaii Rainbows 29999
San Diego State UniversitySan Diego State University Aztecs2222
AnteatersAnteaters Anteaters3333
University of California at Los AngelesUniversity of California at Los Angeles Bruins4444
University of California at San DiegoUniversity of California at San Diego Tritons29292929
University of California at Santa BarbaraUniversity of California at Santa Barbara Gauchos6666
Banana SlugsBanana Slugs Banana Slugs7777

Division B

Team1B2B3B4B
Cal Poly University S.L.O.Cal Poly University S.L.O. Mustangs1111
University of HawaiiUniversity of Hawaii Rainbows 18888
University of HawaiiUniversity of Hawaii Rainbows 29999
San Diego State UniversitySan Diego State University Aztecs2222
AnteatersAnteaters Anteaters3333
University of California at Los AngelesUniversity of California at Los Angeles Bruins4444
University of California at San DiegoUniversity of California at San Diego Tritons29292929
University of California at Santa BarbaraUniversity of California at Santa Barbara Gauchos6666
Banana SlugsBanana Slugs Banana Slugs7777

Conditions — 01/28/2023 (8am–6pm)

🌤️Partly cloudy
Humidity 70%  ·  Pressure 1015.5 hPa

Temperature

56°F
↑ 59°F   ↓ 48°F
Feels like 50°F

Wind

● from   ▲ toward
9.1 kn
avg  ·  max 10.2 kn
Gusts to 19.8 kn
From SSE (166°)

Sky & Precipitation

Cloud cover75% Sunshine9.3 hrs Humidity70% Pressure1015.5 hPa

Orderliness — underdogs or favourites?

Breeze: S 12 kn (weather reanalysis in the scorer’s units)
In this breeze at UC San Diego: a favourites’ day (+0.02)
Back the top seeds: results should follow the ratings, and the gaps between favourites hold.
Fleet adjustment +0.05 (a softer or greener fleet makes the ratings stick) · combined forecast +0.07
Actual: about typical, within noise (+0.34 ± 0.24)

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 ±0.02 means a rating gap counts about 2% 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 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 →