North 4

# SchoolTeam A B TOT
1 California Maritime Academy California Maritime Academy Keelhaulers 1 9 10 19
2 University of California at Berkeley University of California at Berkeley Golden Bears 2 18 8 26
3 Santa Clara University Santa Clara University Broncos 14 16 30
4 California Maritime Academy California Maritime Academy Keelhaulers 2 10 21 31
5 California State University Monterey Bay California State University Monterey Bay Otters 1 21 18 39
6 University of California at Berkeley University of California at Berkeley Golden Bears 1 28 21 49
7 University of California at Santa Cruz University of California at Santa Cruz Banana Slug's 1 29 24 53
8 University of California at Davis University of California at Davis Aggies 1 22 43 65
9 California State University Monterey Bay California State University Monterey Bay Otters 2 39 29 68
10 University of California at Santa Cruz University of California at Santa Cruz Banana Slug's 2 37 37 74
11 University of California at San Diego University of California at San Diego Tritons 2 47 42 89
12 California State University Monterey Bay California State University Monterey Bay Otters 3 39 54 93
13 University of California at San Diego University of California at San Diego Tritons 1 51 48 99
14 University of California at Davis University of California at Davis Aggies 2 58 50 108
School / Team SkipperCrew
California Maritime Academy California Maritime Academy Scott Doyle '14 Eileen Welch '15
Keelhaulers 1 Andrew Lamb '14 Stephen Katz '16
California Maritime Academy California Maritime Academy Corey Lynch '17 Elisabeth Mckee '17
Keelhaulers 2 Andrew Gunnell '17 Cassidy Patton '17
California State University Monterey Bay California State University Monterey Bay Mark Hurdle '13 Lauren Orloff '16
Otters 1 Olivia Gibbons '17 Claudia Marino '17
California State University Monterey Bay California State University Monterey Bay David Macko '14 Kevin Critchlow '16
Otters 2 Parker Smith '17 Levi Matsushima '17
California State University Monterey Bay California State University Monterey Bay Christina Stege '14 Sarah Davis '14
Otters 3 Casey Weisenseel '15 Isabella Perris Berggren '17
Santa Clara University Santa Clara University Dylan Ale '15 Michael Whalen '15
Broncos Francesca Cappellini '16 Melissa Shadden '17
University of California at Berkeley University of California at Berkeley Dylan Skeffington '14 Charlotte Blondel '13
Golden Bears 1 Ian Markowitz '17 Zachary Brown '17
University of California at Berkeley University of California at Berkeley Jacob Hiew '15 Lauren Rehbein '16
Golden Bears 2 Stephen Bordes '15 Tyler Hogan '17
University of California at Davis University of California at Davis Lucas Murray '15 Natasha Jarett '14
Aggies 1 Sarah Stowell '14 William Emberley '16
University of California at Davis University of California at Davis Connor Bockman '15 Eric Cibit '15
Aggies 2 Caroline Shimeld '15 Brian Joseph '15
University of California at San Diego University of California at San Diego Yan Rui Goheen '17 Robert Butkus '15
Tritons 1 Nils-Erik Rundquist '17 Alexander Heide '15
University of California at San Diego University of California at San Diego Jason Barr '17 Hannah Alford '17
Tritons 2 Grant Lin '17 Grant Lin '17
University of California at Santa Cruz University of California at Santa Cruz Ian Spilman '15 Emma Shaw '14
Banana Slug's 1 Alex Verdoia '15 Altea Hines '16
University of California at Santa Cruz University of California at Santa Cruz Mike Mccarthy '14 Georgia Cottong '14
Banana Slug's 2 Kip Wanaselja '16 Maille Kennedy '17

Conditions — 02/23/2014 (8am–6pm)

☀️Clear sky
Humidity 72%  ·  Pressure 1015.2 hPa

Temperature

57°F
↑ 63°F   ↓ 48°F
Feels like 56°F

Wind

● from   ▲ toward
3.3 kn
avg  ·  max 6.1 kn
Gusts to 15.9 kn
From NW (321°)

Sky & Precipitation

Cloud cover18% Sunshine10.0 hrs Humidity72% Pressure1015.2 hPa

Orderliness — underdogs or favourites?

Breeze: NW 6 kn (weather reanalysis in the scorer’s units)
In this breeze at Monterey Bay: an underdogs’ day (−0.03)
Expect upsets: lower-rated teams have a better chance of beating the seeds, and the fleet bunches up.
Fleet adjustment +0.08 (a softer or greener fleet makes the ratings stick) · combined forecast +0.05
Actual: about typical, within noise (+0.27 ± 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 ±0.03 means a rating gap counts about 3% 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 Monterey Bay by wind direction (angle) and speed (rings), fitted surface; dots are labelled regatta-days, ★ this regatta (no labelled days at Monterey Bay: the all-venue pattern is shown).

From the notes

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

All notes →