Diamondback Women's Fleet Race

# SchoolTeam A B TOT
1 Old Dominion University Old Dominion University Monarchs 15 10 25
2 Columbia University Columbia University Lions 20 25 45
3 University of Maryland University of Maryland Terps 29 29 58
4 Princeton University Princeton University Tigers 41 41 82
5 University of Delaware University of Delaware Blue Hens 45 45 90
SchoolTeam R1 R2 R3 R4 R5 R6 R7 R8 R9 R10 TOT Sailors
Old Dominion University Old Dominion University Monarchs 1 1 1 4 1 2 1 1 1 2 15 Esther Ireland '29 [1-2, 5-6, 9-10]
Helena Allocco '29 [3-4, 7-8]
Helena Allocco '29 [1-2, 5-6, 9-10]
Esther Ireland '29 [3-4, 7-8]
Columbia University Columbia University Lions 3 2 2 2 2 1 3 2 2 1 20 Eva Decastro '28
Amelia Thomas '27
University of Maryland University of Maryland Terps 2 3 3 1 4 3 2 3 5 3 29 Sophie Grigg '28 [1-10]
Caroline Fuller '28 [1-4]
Linnea Wurdack '28 [5-10]
Princeton University Princeton University Tigers 4 4 4 3 5 4 5 5 3 4 41 Ella Gonzalez '28
Terese Palomino '28
University of Delaware University of Delaware Blue Hens 5 5 5 5 3 5 4 4 4 5 45 Seton Dill '27
Mia Trotter '28
SchoolTeam R1 R2 R3 R4 R5 R6 R7 R8 R9 R10 TOT Sailors
Old Dominion University Old Dominion University Monarchs 1 1 1 1 1 1 1 1 1 1 10 Emily Priest '29
Kristin Johnson '26
Columbia University Columbia University Lions 2 2 4 2 2 2 3 2 4 2 25 Stella Manyan '27
Wren Greeley-Havard '28
University of Maryland University of Maryland Terps 3 3 2 3 4 4 2 3 2 3 29 Lara Nielsen '28 [1-10]
Carmen Benitez '27 [1-4]
Duran Keefe '26 [5-10]
Princeton University Princeton University Tigers 4 4 3 4 5 5 4 5 3 4 41 Maggie Hammond '29
Lily Williams-Ameen '29
University of Delaware University of Delaware Blue Hens 5 5 5 5 3 3 5 4 5 5 45 Caroline Ziluca '26
Jillian Lybeck-Brown '29
Boat Speed Analyzer
SlowExpected boat effectFast
−0.060+0.06
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 2016 (9 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
Columbia UniversityColumbia University Lions1122334455
University of DelawareUniversity of Delaware Blue Hens4455112233
University of MarylandUniversity of Maryland Terps5511223344
Old Dominion UniversityOld Dominion University Monarchs2233445511
Princeton UniversityPrinceton University Tigers3344551122

Division B

Team1B2B3B4B5B6B7B8B9B10B
Columbia UniversityColumbia University Lions1133445566
University of DelawareUniversity of Delaware Blue Hens5566113344
University of MarylandUniversity of Maryland Terps6611334455
Old Dominion UniversityOld Dominion University Monarchs3344556611
Princeton UniversityPrinceton University Tigers4455661133

Conditions — 03/07/2026 (8am–6pm)

☁️Overcast
Humidity 85%  ·  Pressure 1020.5 hPa

Temperature

52°F
↑ 66°F   ↓ 40°F
Feels like 48°F

Wind

● from   ▲ toward
5.9 kn
avg  ·  max 8.5 kn
Gusts to 18.7 kn
From S (177°)

Sky & Precipitation

Cloud cover86% Sunshine4.6 hrs Humidity85% Pressure1020.5 hPa

Orderliness — underdogs or favourites?

Breeze: S 9 kn (weather reanalysis in the scorer’s units)
In this breeze at Maryland: a favourites’ day (+0.04)
Back the top seeds: results should follow the ratings, and the gaps between favourites hold.
Fleet adjustment +0.07 (a softer or greener fleet makes the ratings stick) · combined forecast +0.12
Actual: about typical, within noise (+0.29 ± 0.19)

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 ±0.04 means a rating gap counts about 4% 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 Maryland by wind direction (angle) and speed (rings), fitted surface; dots are labelled regatta-days, ★ this regatta (only 2 labelled days at Maryland, 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 →