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Tiger Women's Open

Analysis
# SchoolTeam A B TOT
1 SUNY Maritime College SUNY Maritime College Privateers 11 10 21
2 American University American University Eagles 12 13 25
3 University of Maryland University of Maryland Terps 17 16 33
4 Princeton University Princeton University Tigers 20 25 45
5 Columbia University Columbia University Lions 31 26 57
SchoolTeam R1 R2 R3 R4 R5 R6 TOT Sailors
SUNY Maritime College SUNY Maritime College Privateers 4 2 1 2 1 1 11 Nikita Troast '29
Riley Gross '30
American University American University Eagles 1 1 3 1 3 3 12 Hannah Arey '27
Katherine Anderson '27
University of Maryland University of Maryland Terps 3 3 2 3 2 4 17 Lara Nielsen '28 [1-6]
Caroline Fuller '28 [1-2, 5-6]
Elisa Deparis '29 [3-4]
Princeton University Princeton University Tigers 2 4 4 4 4 2 20 Larkin Macosko '28 [1-6]
Sage Shah '29 [1-2, 5-6]
Catherine Arbaugh '28 [3-4]
Columbia University Columbia University Lions 5 DNF 5 5 5 5 31 Zihan Li '30
Skylar Tian '29
SchoolTeam R1 R2 R3 R4 R5 R6 TOT Sailors
SUNY Maritime College SUNY Maritime College Privateers 3 3 1 1 1 1 10 Grace Wilson '28
Sara Altman '30
American University American University Eagles 1 1 2 2 2 5 13 Brooke Lorson '27
Keira Cowher '29
University of Maryland University of Maryland Terps 2 2 3 3 4 2 16 Alexandra Clark '30
Maria Mercier '29
Princeton University Princeton University Tigers 4 5 4 4 5 3 25 Gwendolyn Lawrence '28 [1-2, 5-6]
Kristine Roegner '28 [3-4]
Canina Wang '29 [1-2, 5-6]
Columbia University Columbia University Lions 5 4 5 5 3 4 26 Raina Jaeggli '28
Katherine Heim Binas '29
Boat Speed Analyzer
SlowExpected boat effectFast
−0.050+0.05
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 2013 (10 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

Team1A2A3A4A5A6A
American UniversityAmerican University Eagles22771111
Columbia UniversityColumbia University Lions448822
University of MarylandUniversity of Maryland Terps11114488
SUNY Maritime CollegeSUNY Maritime College Privateers882277
Princeton UniversityPrinceton University Tigers77111144

Division B

Team1B2B3B4B5B6B
American UniversityAmerican University Eagles448822
Columbia UniversityColumbia University Lions77111144
University of MarylandUniversity of Maryland Terps22771111
SUNY Maritime CollegeSUNY Maritime College Privateers11114488
Princeton UniversityPrinceton University Tigers882277

Conditions — 10/03/2026 (8am–6pm)

☀️Clear sky
Humidity 62%  ·  Pressure 1023.5 hPa

Temperature

67°F
↑ 70°F   ↓ 60°F
Feels like 65°F

Wind

● from   ▲ toward
6.9 kn
avg  ·  max 9.8 kn
Gusts to 19.4 kn
From NE (54°)

Sky & Precipitation

Cloud cover19% Sunshine11.0 hrs Humidity62% Pressure1023.5 hPa

Orderliness — underdogs or favourites?

Breeze: NE 11 kn (weather reanalysis in the scorer’s units)
In this breeze at Princeton: a favourites’ day (+0.03)
Back the top seeds: results should follow the ratings, and the gaps between favourites hold.
Fleet adjustment +0.11 (a softer or greener fleet makes the ratings stick) · combined forecast +0.14
Actual: about typical, within noise (+0.27 ± 0.29)

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% 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 Princeton by wind direction (angle) and speed (rings), fitted surface; dots are labelled regatta-days, ★ this regatta (only 5 labelled days at Princeton, so the surface is mostly the all-venue pattern).

From the notes

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

All notes →