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KP Women's Regatta

# SchoolTeam A TOT
1 Fordham University Fordham University Rams 1 26 26
2 Cornell University Cornell University Big Red 1 28 28
3 Hobart and William Smith Colleges Hobart and William Smith Colleges Herons 1 42 42
4 Cornell University Cornell University Big Red 2 45 45
5 Hobart and William Smith Colleges Hobart and William Smith Colleges Herons 2 48 48
6 Fordham University Fordham University Rams 2 58 58
7 Princeton University Princeton University Tigers 1 75 75
8 Fordham University Fordham University Rams 3 80 80
9 SUNY Maritime College SUNY Maritime College Privateers 1 80 80
10 SUNY Maritime College SUNY Maritime College Privateers 2 101 101
11 U. S. Merchant Marine Academy U. S. Merchant Marine Academy Mariners 1 104 104
12 U. S. Merchant Marine Academy U. S. Merchant Marine Academy Mariners 2 110 110
13 Princeton University Princeton University Tigers 2 113 113
SchoolTeam R1 R2 R3 R4 R5 R6 R7 R8 R9 R10 TOT Sailors
Fordham University Fordham University Rams 1 1 7 3 1 1 1 5 2 2 3 26 Grace Howie '20
Cortney Rielly '20
Cornell University Cornell University Big Red 1 7 1 2 3 2 2 1 8 1 1 28 Lilly Myers '23
Patricia Corujo '21
Hobart and William Smith Colleges Hobart and William Smith Colleges Herons 1 3 2 1 5 4 6 4 5 7 5 42 Anna Flaherty '20 [1-6]
Audrey Morin '21 [7-10]
Audrey Morin '21 [1-6]
Anna Flaherty '20 [7-10]
Cornell University Cornell University Big Red 2 2 6 4 4 3 4 3 10 5 4 45 Meredith Moran '23
Miranda Sannino '20
Hobart and William Smith Colleges Hobart and William Smith Colleges Herons 2 10 3 5 6 7 3 2 1 4 7 48 Bridget Lawless '21 [1-6]
Sinead Mcmanus '20 [7-10]
Sinead Mcmanus '20 [1-6]
Bridget Lawless '21 [7-10]
Fordham University Fordham University Rams 2 9 4 6 2 10 11 7 4 3 2 58 Payton Canavan '23
Elizabeth Hupp '21
Princeton University Princeton University Tigers 1 4 5 9 9 6 8 6 6 13 9 75 Anne Sidamon-Eristoff '20 [1-10]
Adrienne Mandelbaum '20 [1-6]
Isabella Impalli '22 [7-10]
Fordham University Fordham University Rams 3 5 10 11 8 5 10 10 9 6 6 80 Maggie Costikyan '22
Lauren Miller '23
SUNY Maritime College SUNY Maritime College Privateers 1 6 8 7 10 11 7 8 3 12 8 80 Clara Guarascio '22
Camille Nastasi '22
SUNY Maritime College SUNY Maritime College Privateers 2 12 12 13 11 12 5 9 7 10 10 101 Zoe Clougher '21
Kaitlin Brzostek '22
U. S. Merchant Marine Academy U. S. Merchant Marine Academy Mariners 1 8 9 8 13 9 9 12 12 11 13 104 Sunrae Sturmer '23
Rachel Beisswenger '22
U. S. Merchant Marine Academy U. S. Merchant Marine Academy Mariners 2 13 11 10 12 8 12 13 11 8 12 110 Maddie Talecki '20
Rachel Mckenzie '22
Princeton University Princeton University Tigers 2 11 13 12 7 13 13 11 13 9 11 113 Elizabeth Bailey '21
Young Kyung Grace Lee '21
Boat Speed Analyzer
SlowExpected boat effectFast
−0.130+0.13
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 (23 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
Cornell UniversityCornell University Big Red 11122334455
Cornell UniversityCornell University Big Red 22211141413131212
Fordham UniversityFordham University Rams 13344556677
Fordham UniversityFordham University Rams 2443322111414
Fordham UniversityFordham University Rams 35566778899
Hobart and William Smith CollegesHobart and William Smith Colleges Herons 16655443322
Hobart and William Smith CollegesHobart and William Smith Colleges Herons 277889910101111
U. S. Merchant Marine AcademyU. S. Merchant Marine Academy Mariners 11212111110109988
U. S. Merchant Marine AcademyU. S. Merchant Marine Academy Mariners 213131414112233
SUNY Maritime CollegeSUNY Maritime College Privateers 1101099887766
SUNY Maritime CollegeSUNY Maritime College Privateers 2111112121313141411
Princeton UniversityPrinceton University Tigers 18877665544
Princeton UniversityPrinceton University Tigers 2991010111112121313

Conditions — 09/07/2019 (8am–6pm)

☀️Clear sky
Humidity 57%  ·  Pressure 1009.3 hPa

Temperature

70°F
↑ 75°F   ↓ 60°F
Feels like 67°F

Wind

● from   ▲ toward
7.8 kn
avg  ·  max 10.7 kn
Gusts to 21.8 kn
From NW (315°)

Sky & Precipitation

Cloud cover36% Sunshine10.3 hrs Humidity57% Pressure1009.3 hPa

Orderliness — underdogs or favourites?

Breeze: N 9 kn (scorer’s report)
In this breeze at Kings Point: a favourites’ day (+0.06)
Back the top seeds: results should follow the ratings, and the gaps between favourites hold.
Fleet adjustment −0.01 (an ordinary fleet) · combined forecast +0.05
Actual: about typical, within noise (+0.06 ± 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 ±0.06 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 Kings Point by wind direction (angle) and speed (rings), fitted surface; dots are labelled regatta-days, ★ this regatta (80 labelled days at Kings Point).

From the notes

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

All notes →