Navigate

Yale FJ Invite

# SchoolTeam A TOT
1 Yale University Yale University Bulldogs 1 46 46
2 Roger Williams University Roger Williams University Hawks 2 59 59
3 Yale University Yale University Bulldogs 2 63 63
4 Tufts University Tufts University Jumbos 2 68 68
5 Brown University Brown University Bears 3 69 69
6 Brown University Brown University Bears 2 72 72
7 Tufts University Tufts University Jumbos 1 73 73
8 Roger Williams University Roger Williams University Hawks 1 74 74
9 U. S. Coast Guard Academy U. S. Coast Guard Academy Bears 1 79 79
10 Yale University Yale University Bulldogs 3 82 82
11 Tufts University Tufts University Jumbos 3 97 97
12 Brown University Brown University Bears 1 107 107
13 U. S. Coast Guard Academy U. S. Coast Guard Academy Bears 2 108 108
14 Yale University Yale University Bulldogs 4 112 112
15 U. S. Coast Guard Academy U. S. Coast Guard Academy Bears 3 121 121
16 Roger Williams University Roger Williams University Hawks 3 130 130
SchoolTeam R1 R2 R3 R4 R5 R6 R7 R8 R9 R10 TOT Sailors
Yale University Yale University Bulldogs 1 14 1 1 1 1 4 5 16 2 1 46 Nathan Sih '25
Ariana Borut '27
Roger Williams University Roger Williams University Hawks 2 1 7 3 7 9 8 11 3 3 7 59 Jack Roman '26
Carter Sheehan '27
Yale University Yale University Bulldogs 2 4 13 11 5 7 3 1 13 1 5 63 Mateo Farina '25
Mary Madaus '25
Tufts University Tufts University Jumbos 2 13 8 2 2 10 10 6 2 6 9 68 Shea Smith '25
Matthew Caplan '25
Brown University Brown University Bears 3 2 11 4 8 6 6 12 7 9 4 69 Laura Hamilton '27
Katherine Majette '27
Brown University Brown University Bears 2 10 5 10 3 12 13 2 9 5 3 72 Cam Spriggs '27
Corinne Harrison '27
Tufts University Tufts University Jumbos 1 11 2 5 12 4 1 10 11 11 6 73 Clark Morris '26
Reddin Kehrli '27
Roger Williams University Roger Williams University Hawks 1 5 4 7 4 2 5 14 10 10 13 74 Luke Hosek '24
Ethan Snyder '25
U. S. Coast Guard Academy U. S. Coast Guard Academy Bears 1 3 14 6 10 3 16 3 1 8 15 79 Bradley Whiteway '26
Sarah Krajewski '26
Yale University Yale University Bulldogs 3 6 6 9 11 15 2 7 4 14 8 82 Ximena Escobar '25
Julia Miller '26
Tufts University Tufts University Jumbos 3 9 3 13 16 11 11 4 12 4 14 97 Gus Macaulay '27
Margaret Klein '26
Brown University Brown University Bears 1 16 10 8 15 13 9 13 6 7 10 107 Connor Macken '24
Janelle Li '25
U. S. Coast Guard Academy U. S. Coast Guard Academy Bears 2 8 12 15 14 14 14 9 5 15 2 108 Gavin Vanmanen '27
Grace Austin '27
Yale University Yale University Bulldogs 4 15 15 12 6 5 7 8 15 13 16 112 Beck Lorsch '25 [1-10]
Lennox Gregoire '24 [1-2, 5-7]
Sophie Lau '25 [3-4, 8-10]
U. S. Coast Guard Academy U. S. Coast Guard Academy Bears 3 7 9 16 13 8 15 16 14 12 11 121 Julian Henderson '27
Austin White '27
Roger Williams University Roger Williams University Hawks 3 12 16 14 9 16 12 15 8 16 12 130 Reid Nelson '27
Frankie Sparrow '27
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 2019 (8 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

Team1A2A3A4A5A6A7A8A9A10A
Brown UniversityBrown University Bears 11111111111
Brown UniversityBrown University Bears 22222222222
Brown UniversityBrown University Bears 33333333333
U. S. Coast Guard AcademyU. S. Coast Guard Academy Bears 110101010101010101010
U. S. Coast Guard AcademyU. S. Coast Guard Academy Bears 211111111111111111111
U. S. Coast Guard AcademyU. S. Coast Guard Academy Bears 312121212121212121212
Roger Williams UniversityRoger Williams University Hawks 14444444444
Roger Williams UniversityRoger Williams University Hawks 25555555555
Roger Williams UniversityRoger Williams University Hawks 36666666666
Tufts UniversityTufts University Jumbos 17777777777
Tufts UniversityTufts University Jumbos 28888888888
Tufts UniversityTufts University Jumbos 39999999999
Yale UniversityYale University Bulldogs 113131313131313131313
Yale UniversityYale University Bulldogs 214141414141414141414
Yale UniversityYale University Bulldogs 315151515151515151515
Yale UniversityYale University Bulldogs 416161616161616161616

Conditions — 09/17/2023 (8am–6pm)

☀️Clear sky
Humidity 61%  ·  Pressure 1013.8 hPa

Temperature

69°F
↑ 73°F   ↓ 58°F
Feels like 68°F

Wind

● from   ▲ toward
5.9 kn
avg  ·  max 7.8 kn
Gusts to 18.9 kn
From SW (233°)

Sky & Precipitation

Cloud cover40% Sunshine11.0 hrs Humidity61% Pressure1013.8 hPa

Orderliness — underdogs or favourites?

Breeze: W 8 kn (scorer’s report)
In this breeze at Yale: a favourites’ day (+0.06)
Back the top seeds: results should follow the ratings, and the gaps between favourites hold.
Fleet adjustment −0.13 (a strong, experienced fleet makes upsets likelier) · combined forecast −0.08
Actual: a strongly underdogs’ day (−0.54 ± 0.17)

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 ±0.06 means a rating gap counts about 5% 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 Yale by wind direction (angle) and speed (rings), fitted surface; dots are labelled regatta-days, ★ this regatta (69 labelled days at Yale).

From the notes

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

All notes →