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SchoolTeam R1 R2 R3 R4 R5 R6 R7 R8 R9 R10 R11 TOT Sailors
University of California at Irvine University of California at Irvine Anteaters 2 2 6 3 4 1 1 1 1 1 4 1 25 Samuel Heller '15
Caressa Brewer '18
University of California at Irvine University of California at Irvine Anteaters 1 6 1 2 3 7 4 3 2 3 3 4 38 Nicholas Weis '15
Addison Whittet '16
University of California at Davis University of California at Davis Aggies 3 1 9 4 2 2 2 4 4 5 2 7 42 Daniel Baldassare '15
Hayley Palmer '17
Cal Poly University S.L.O. Cal Poly University S.L.O. Mustang 2 9 5 6 6 3 3 5 5 4 6 5 57 Joseph Lausten '18
Oliver Kunz '15
University of California at Berkeley University of California at Berkeley Bears 3 10 1 1 4 7 9 7 11 12 2 67 Cole Fargo '18
Chun Ting Justin Lai '16
Cal Poly University S.L.O. Cal Poly University S.L.O. Mustang 1 7 3 RDG 7 6 6 7 3 6 10 6 67 Geoffrey Brelsford '18
Tarra Sanders '18
University of California at Santa Barbara University of California at Santa Barbara Gauchos DNF 2 11 9 5 5 2 8 9 13 3 84 Anthony Helm '15
Claire Stivers '18
California State University Channel Islands California State University Channel Islands Dolphins 4 7 8 DNF 12 13 8 10 2 7 9 97 Jeffrey Tedmori '15
Kinsey Cohen '17
University of California at Santa Cruz University of California at Santa Cruz Banana Slug's 2 10 13 7 12 DNF 8 6 9 8 1 8 99 Altea Hines '16
Alexander Brocchini '17
University of California at Santa Cruz University of California at Santa Cruz Banana Slug's 1 8 4 DNF 8 9 9 DNF 6 13 5 12 108 Kip Wanaselja '16
Shiron Drusinsky '18
University of California at Davis University of California at Davis Aggies 2 5 11 5 5 8 16 12 DNF 14 16 10 119 Robert Jones '16
Ishita Singh '17
University of California at San Diego University of California at San Diego Tritons 13 8 9 10 11 10 10 13 10 14 11 119 Samuel Rohrbach '17
Alexander Heide '15
University of California at Santa Cruz University of California at Santa Cruz Banana Slug's 3 11 14 10 11 DNF 11 DNF 11 7 15 16 140 Amr Amr '15
Amr Amr '15
University of California at Irvine University of California at Irvine Anteaters 3 DNF 12 DNF 14 13 12 DNF DNF 12 9 13 153 Daniel Diaz '15
Robin Fales '16
Santa Clara University Santa Clara University Broncos 14 15 DNF DNF DNF 14 11 12 15 8 15 155 Bradford Wyant '16
Zach Steffen '18
University of California at Davis University of California at Davis Aggies 1 12 16 DNF 13 10 15 DNF DNF 16 11 14 158 Joshua Leung '18
Joseph Naro '18
Boat Speed Analyzer
SlowExpected boat effectFast
−0.170+0.17
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 (4 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

Team1A2A3A4A5A6A7A8A9A10A11A
University of California at BerkeleyUniversity of California at Berkeley Bears55555555555
Cal Poly University S.L.O.Cal Poly University S.L.O. Mustang 111111111111
Cal Poly University S.L.O.Cal Poly University S.L.O. Mustang 222222222222
California State University Channel IslandsCalifornia State University Channel Islands Dolphins33333333333
Santa Clara UniversitySanta Clara University Broncos44444444444
University of California at DavisUniversity of California at Davis Aggies 166666666666
University of California at DavisUniversity of California at Davis Aggies 277777777777
University of California at DavisUniversity of California at Davis Aggies 388888888888
University of California at IrvineUniversity of California at Irvine Anteaters 199999999999
University of California at IrvineUniversity of California at Irvine Anteaters 21010101010101010101010
University of California at IrvineUniversity of California at Irvine Anteaters 31111111111111111111111
University of California at San DiegoUniversity of California at San Diego Tritons1212121212121212121212
University of California at Santa BarbaraUniversity of California at Santa Barbara Gauchos1313131313131313131313
University of California at Santa CruzUniversity of California at Santa Cruz Banana Slug's 11414141414141414141414
University of California at Santa CruzUniversity of California at Santa Cruz Banana Slug's 21515151515151515151515
University of California at Santa CruzUniversity of California at Santa Cruz Banana Slug's 31616161616161616161616

Conditions — 04/11/2015 (8am–6pm)

🌤️Mainly clear
Humidity 59%  ·  Pressure 1017.8 hPa

Temperature

63°F
↑ 67°F   ↓ 53°F
Feels like 61°F

Wind

● from   ▲ toward
5.9 kn
avg  ·  max 8.6 kn
Gusts to 21.0 kn
From W (279°)

Sky & Precipitation

Cloud cover27% Sunshine11.0 hrs Humidity59% Pressure1017.8 hPa

Orderliness — underdogs or favourites?

Breeze: NW 15 kn · N 10 kn (scorer’s report)
In this breeze at Stanford: a typical day (+0.01)
Nothing in the breeze favours either side; expect results to follow the ratings about as usual.
Fleet adjustment +0.06 (a softer or greener fleet makes the ratings stick) · combined forecast +0.07
Actual: about typical, within noise (+0.15 ± 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 ±0.01 means a rating gap counts about 1% 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 Stanford by wind direction (angle) and speed (rings), fitted surface; dots are labelled regatta-days, ★ this regatta (48 labelled days at Stanford).

From the notes

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

All notes →