Keelhauler Open

# SchoolTeam TOT
1 California Maritime Academy California Maritime Academy Keelhaulers 1 66
2 California Maritime Academy California Maritime Academy Keelhaulers 2 142
3 University of California at San Diego University of California at San Diego Tritons 154
4 Texas A&M University Texas A&M University Aggies 162
5 Arizona State University Arizona State University Sun Devils 194
SchoolTeam R1 R2 R3 R4 R5 R6 R7 R8 R9 R10 R11 R12 R13 TOT Sailors
California Maritime Academy California Maritime Academy Keelhaulers 1 A 2 2 3 10 1 1 3 1 1 1 1 2 1 29 Kyle Farmer '26
Logan Chapman '26
California Maritime Academy California Maritime Academy Keelhaulers 1 B 1 3 2 2 5 4 1 3 3 4 2 3 4 37 Ryan Downey '25
Charles Bedford '24
California Maritime Academy California Maritime Academy Keelhaulers 2 A 3 4 6 4 8 6 8 2 5 3 5 1 2 57 Conner Skewes '25
Kawika Tumilowicz '25
Texas A&M University Texas A&M University Aggies A 5 1 9 1 4 7 7 5 4 10 9 4 6 72 Hanna Progelhof '25 [1-13]
Cole Broberg '25 [1-7]
Ryyan Amsden '24 [8-13]
University of California at San Diego University of California at San Diego Tritons A 4 5 1 3 6 5 6 6 9 5 7 DNF 5 73 Sebastien Franck '23 [1-13]
Cassidy Murray '24 [1-8]
Cassie Halaszynski '25 [9-13]
University of California at San Diego University of California at San Diego Tritons B 6 6 4 6 3 3 5 7 10 7 10 5 9 81 Tobie Bloom '23 [1-13]
Bella Valente '24 [1-11]
Aron Mcconnell '23 [12-13]
California Maritime Academy California Maritime Academy Keelhaulers 2 B 7 8 8 7 2 8 2 8 6 9 6 7 7 85 Etienne Quille '25 [1-7]
Christopher Shintani '25 [8-13]
Christopher Shintani '25 [1-7]
James Davis '26 [8-13]
Texas A&M University Texas A&M University Aggies B 9 9 10 8 9 10 9 4 2 2 4 DNF 3 90 Kate Hennig '26
Emily Davison '24
Arizona State University Arizona State University Sun Devils A 8 7 5 5 7 9 4 10 8 8 8 8 8 95 Mitchell Powers '25
Jaquelyn Quintana '25
Arizona State University Arizona State University Sun Devils B 10 10 7 9 10 2 10 9 7 6 3 6 10 99 Sadie Hoberman '25
Patrick Gardiner '26
Boat Speed Analyzer
SlowExpected boat effectFast
−0.120+0.12
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 2022 (3 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

Team1A2A3A4A5A6A7A8A9A10A11A12A
Arizona State UniversityArizona State University Sun Devils404040404040404040404040
California Maritime AcademyCalifornia Maritime Academy Keelhaulers 1111111111111
California Maritime AcademyCalifornia Maritime Academy Keelhaulers 2101101101101101101101101101101101101
Texas A&M UniversityTexas A&M University Aggies202020202020202020202020
University of California at San DiegoUniversity of California at San Diego Tritons303030303030303030303030

Division B

Team1B2B3B4B5B6B7B8B9B10B11B12B
Arizona State UniversityArizona State University Sun Devils161616161616161616161616
California Maritime AcademyCalifornia Maritime Academy Keelhaulers 1111111111111111111111111
California Maritime AcademyCalifornia Maritime Academy Keelhaulers 2222222222222222222222222
Texas A&M UniversityTexas A&M University Aggies101010101010101010101010
University of California at San DiegoUniversity of California at San Diego Tritons292929292929292929292929
School / Team SkipperCrew
Arizona State University Arizona State University Mitchell Powers '25 Jaquelyn Quintana '25
Sun Devils Sadie Hoberman '25 Patrick Gardiner '26
California Maritime Academy California Maritime Academy Kyle Farmer '26 Logan Chapman '26
Keelhaulers 1 Ryan Downey '25 Charles Bedford '24
California Maritime Academy California Maritime Academy Conner Skewes '25 Kawika Tumilowicz '25
Keelhaulers 2 Etienne Quille '25 [1-7]
Christopher Shintani '25 [8-13]
Christopher Shintani '25 [1-7]
James Davis '26 [8-13]
Texas A&M University Texas A&M University Hanna Progelhof '25 [1-13] Cole Broberg '25 [1-7]
Ryyan Amsden '24 [8-13]
Aggies Kate Hennig '26 Emily Davison '24
University of California at San Diego University of California at San Diego Sebastien Franck '23 [1-13] Cassidy Murray '24 [1-8]
Cassie Halaszynski '25 [9-13]
Tritons Tobie Bloom '23 [1-13] Bella Valente '24 [1-11]
Aron Mcconnell '23 [12-13]

Conditions — 04/01/2023 (8am–6pm)

☀️Clear sky
Humidity 72%  ·  Pressure 1023.6 hPa

Temperature

54°F
↑ 59°F   ↓ 45°F
Feels like 51°F

Wind

● from   ▲ toward
6.3 kn
avg  ·  max 8.9 kn
Gusts to 17.3 kn
From WSW (243°)

Sky & Precipitation

Cloud cover22% Sunshine11.0 hrs Humidity72% Pressure1023.6 hPa

Orderliness — underdogs or favourites?

Breeze: SW 9 kn · W 14 kn (weather reanalysis in the scorer’s units)
In this breeze at Cal Maritime: a typical day (+0.01)
Nothing in the breeze favours either side; expect results to follow the ratings about as usual.
Fleet adjustment +0.04 (a softer or greener fleet makes the ratings stick) · combined forecast +0.05
Actual: about typical, within noise (−0.15 ± 0.20)

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 Cal Maritime by wind direction (angle) and speed (rings), fitted surface; dots are labelled regatta-days, ★ this regatta (no labelled days at Cal Maritime: 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 →