Navigate

Top-9 Fall Invite

# SchoolTeam TOT
1 Stanford University Stanford University Cardinal 155
2 University of California at Santa Barbara University of California at Santa Barbara Gauchos 174
3 San Diego State University San Diego State University Aztecs 183
4 University of Hawaii University of Hawaii Rainbows 236
5 Western Washington University Western Washington University Vikings 273
6 University of Southern California University of Southern California Trojans 284
7 California Poly Maritime Academy California Poly Maritime Academy Keelhaulers 306
8 University of Washington University of Washington Huskies 336
9 Mustangs Mustangs Mustangs 449
SchoolTeam R1 R2 R3 R4 R5 R6 R7 R8 R9 R10 R11 R12 R13 R14 TOT Sailors
University of California at Santa Barbara University of California at Santa Barbara Gauchos A 5 3 4 2 7 6 5 2 2 2 5 4 1 2 50 Henry Boeger '25 [1-14]
Kayla Spalding '28 [1-10]
Renee Lehto '29 [11-14]
Stanford University Stanford University Cardinal A 6 6 3 1 5 1 9 1 1 RAF 2 7 3 1 65 Thomas Whidden '28 [1-8]
Lucas Woodworth '27 [9-14]
Amiya Stroumza '28 [1-8]
San Diego State University San Diego State University Aztecs A 1 1 2 5 10 11 3 4 3 4 4 3 6 13 70 Ian Nyenhuis '29
Sadie Marinerstein '28
University of Hawaii University of Hawaii Rainbows A 3 4 18 10 3 4 1 3 10 1 11 1 4 5 78 Erik Anderson '26
Amanda Turner '27
Stanford University Stanford University Cardinal B 9 2 1 7 4 10 8 15 4 9 3 13 2 3 90 Dylan Sih '28 [1-14]
Caroline Geiger '28 [1-8]
Piper Blackband '28 [9-14]
San Diego State University San Diego State University Aztecs B 8 8 5 3 2 15 4 5 6 7 13 8 17 12 113 Noah Nyenhuis '27
Lily Schweber '27
University of California at Santa Barbara University of California at Santa Barbara Gauchos B 12 14 12 6 1 7 11 8 9 14 7 9 5 9 124 Jonathan Seawards '26 [1-14]
Avalon Everett '27 [1-11]
Samuel Long '27 [12-14]
Western Washington University Western Washington University Vikings A 4 5 14 9 14 12 2 16 5 13 1 16 8 7 126 Leif Hauge '28
Yuri Berebitsky '27
University of Southern California University of Southern California Trojans A 11 12 10 12 6 13 13 7 14 5 9 10 7 4 133 Luke Harris '27
Ava Bergan '27
University of Washington University of Washington Huskies A 13 7 9 13 9 5 7 6 11 3 12 15 16 14 140 Benjamin Stone '27 [1-14]
Jaya Wirth '27 [1-10]
Jeffrey Kriegh '27 [11-14]
California Poly Maritime Academy California Poly Maritime Academy Keelhaulers A 7 9 7 14 18 9 6 11 15 12 6 14 10 6 144 Nicholas Mueller '27
Chloe Hedge '29
Western Washington University Western Washington University Vikings B 10 10 6 11 13 8 12 10 8 17 10 5 9 18 147 Mary D’Arcy '26
Addison Dunn '28
University of Southern California University of Southern California Trojans B 15 11 13 4 8 2 17 13 13 8 17 2 12 16 151 Hudson Mayfield '27 [1-14]
Nicole Drake '28 [1-10, 12-14]
Wenwei Fu '28 [11]
University of Hawaii University of Hawaii Rainbows B 2 13 8 DSQ 17 14 10 14 7 11 8 12 15 8 158 Everett Mcavoy '26
Alister Muto '29
California Poly Maritime Academy California Poly Maritime Academy Keelhaulers B 14 15 11 8 12 3 15 9 18 10 14 11 11 11 162 Kaden Miller '29 [1-14]
Indigo Craig '29 [1-8]
Nicolai Perez '28 [9-14]
University of Washington University of Washington Huskies B 17 17 16 15 11 17 18 12 12 6 15 17 13 10 196 Lhotse Rowell '28
Ava Butterfield '28
Mustangs Mustangs Mustangs A 16 16 17 17 15 18 16 17 17 15 16 6 14 17 217
Mustangs Mustangs Mustangs B 18 18 15 16 16 16 14 18 16 16 18 18 18 15 232
Boat Speed Analyzer
SlowExpected boat effectFast
−0.070+0.07
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 2009 (35 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

Team1A2A3A4A5A6A7A8A9A10A11A12A13A14A
California Poly Maritime AcademyCalifornia Poly Maritime Academy Keelhaulers22222222222222
MustangsMustangs Mustangs11111111111111
University of HawaiiUniversity of Hawaii Rainbows66666666666666
San Diego State UniversitySan Diego State University Aztecs33333333333333
University of Southern CaliforniaUniversity of Southern California Trojans77777777777777
Stanford UniversityStanford University Cardinal44444444444444
University of California at Santa BarbaraUniversity of California at Santa Barbara Gauchos55555555555555
University of WashingtonUniversity of Washington Huskies88888888888888
Western Washington UniversityWestern Washington University Vikings99999999999999

Division B

Team1B2B3B4B5B6B7B8B9B10B11B12B13B14B
California Poly Maritime AcademyCalifornia Poly Maritime Academy Keelhaulers1111111111111111111111111111
MustangsMustangs Mustangs1010101010101010101010101010
University of HawaiiUniversity of Hawaii Rainbows1515151515151515151515151515
San Diego State UniversitySan Diego State University Aztecs1212121212121212121212121212
University of Southern CaliforniaUniversity of Southern California Trojans1616161616161616161616161616
Stanford UniversityStanford University Cardinal1313131313131313131313131313
University of California at Santa BarbaraUniversity of California at Santa Barbara Gauchos1414141414141414141414141414
University of WashingtonUniversity of Washington Huskies1717171717171717171717171717
Western Washington UniversityWestern Washington University Vikings1818181818181818181818181818

Conditions — 10/25/2025 (8am–6pm)

🌦️Light drizzle
Humidity 82%  ·  Pressure 1017.8 hPa

Temperature

63°F
↑ 66°F   ↓ 57°F
Feels like 64°F

Wind

● from   ▲ toward
3.4 kn
avg  ·  max 4.4 kn
Gusts to 12.1 kn
From SW (234°)

Sky & Precipitation

Cloud cover100% Sunshine2.8 hrs Humidity82% Pressure1017.8 hPa Rain0.05 in

Orderliness — underdogs or favourites?

Breeze: S 8 kn · SW 10 kn* (*weather reanalysis in the scorer’s units)
In this breeze at Stanford: a favourites’ day (+0.07)
Back the top seeds: results should follow the ratings, and the gaps between favourites hold.
Fleet adjustment −0.16 (a strong, experienced fleet makes upsets likelier) · combined forecast −0.09
Actual: about typical, within noise (−0.11 ± 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 ±0.07 means a rating gap counts about 6% 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 →