Drexel Open

# SchoolTeam A B TOT
1 Drexel University Drexel University Dragons 8 15 23
2 Monmouth University Monmouth University Hawks 14 14 28
3 University of Pittsburgh University of Pittsburgh Panthers 23 8 31
4 University of Maryland/Baltimore County University of Maryland/Baltimore County Retrievers 13 19 32
5 University of Delaware University of Delaware Blue Hens 19 21 40
6 Catholic University of America Catholic University of America Cardinals 29 28 57
SchoolTeam R1 R2 R3 R4 R5 TOT Sailors
Drexel University Drexel University Dragons 1 1 2 3 1 8 Iain Shand '24 [1-2, 5]
Yanni Tsetsekos '23 [3-4]
Sarah Schon '24 [1-2]
Caitlin Rosner '27 [3-4]
Dren Gara '25 [5]
University of Maryland/Baltimore County University of Maryland/Baltimore County Retrievers 5 2 1 2 3 13 Henry Powell '26
Vaughan Hood '24
Monmouth University Monmouth University Hawks 2 3 3 1 5 14 Patrick Cashin '24
Maddie Woolley '24
University of Delaware University of Delaware Blue Hens 4 5 4 4 2 19 Tamryn Whyte '23 [1-2]
Addie Perez '25 [3-4]
Pearce Bragaw '23 [5]
Logan Devaric '25 [1-2]
Claudia Severson '25 [3-4]
Ian Kaplan '25 [5]
University of Pittsburgh University of Pittsburgh Panthers 3 4 DNF 5 4 23 Henry Polaski '25
Kelly Katilius '25
Catholic University of America Catholic University of America Cardinals 6 6 5 6 6 29 Eilis Mccormick '23
Faith Dickerson '25
SchoolTeam R1 R2 R3 R4 R5 TOT Sailors
University of Pittsburgh University of Pittsburgh Panthers 1 1 3 1 2 8 Stanley Galloway '22
Jesse Kimball '24
Monmouth University Monmouth University Hawks 4 6 1 2 1 14 Abigail Brooks '23
Aidan Hague '23
Drexel University Drexel University Dragons 3 2 4 3 3 15 Nathaniel Adams '26 [1-2, 5]
Patrick Hartshorne '24 [3-4]
Caitlin Rosner '27 [1-2]
Lillian Cardonne '23 [3-4]
Haoran Zhao '24 [5]
University of Maryland/Baltimore County University of Maryland/Baltimore County Retrievers 2 3 5 5 4 19 John Tis '25 [1-3, 5]
Zachary Vance '23 [4]
Grace Hartman '25 [1-3, 5]
Hunter Sugg '23 [4]
University of Delaware University of Delaware Blue Hens 6 4 2 4 5 21 Laura Macmillan '24 [1-2]
Anna Servidio '26 [3-4]
Taylor Whiteman '24 [5]
Bailey Roberts '26 [1-2]
Sam Windsor '25 [3-4]
Sophie Decoite '25 [5]
Catholic University of America Catholic University of America Cardinals 5 5 6 6 6 28 Caroline Grogan '26 [1-5]
Evelyn Carpenter '26 [1-2]
Henry Nguyen '23 [3-5]
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 2010 (14 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

Team1A2A3A4A5A
Catholic University of AmericaCatholic University of America Cardinals11335
University of DelawareUniversity of Delaware Blue Hens44662
Drexel UniversityDrexel University Dragons22446
University of Maryland/Baltimore CountyUniversity of Maryland/Baltimore County Retrievers55113
Monmouth UniversityMonmouth University Hawks33551
University of PittsburghUniversity of Pittsburgh Panthers66224

Division B

Team1B2B3B4B5B
Catholic University of AmericaCatholic University of America Cardinals22446
University of DelawareUniversity of Delaware Blue Hens55113
Drexel UniversityDrexel University Dragons33551
University of Maryland/Baltimore CountyUniversity of Maryland/Baltimore County Retrievers66224
Monmouth UniversityMonmouth University Hawks44662
University of PittsburghUniversity of Pittsburgh Panthers11335

Conditions — 05/06/2023 (8am–6pm)

☀️Clear sky
Humidity 46%  ·  Pressure 1024.0 hPa

Temperature

65°F
↑ 70°F   ↓ 52°F
Feels like 62°F

Wind

● from   ▲ toward
5.5 kn
avg  ·  max 7.2 kn
Gusts to 14.0 kn
From NW (320°)

Sky & Precipitation

Cloud cover28% Sunshine11.0 hrs Humidity46% Pressure1024.0 hPa

Orderliness — underdogs or favourites?

Breeze: NW 8 kn* · S 5 kn (*weather reanalysis in the scorer’s units)
In this breeze at Drexel: an underdogs’ day (−0.10)
Expect upsets: lower-rated teams have a better chance of beating the seeds, and the fleet bunches up.
Fleet adjustment +0.14 (a softer or greener fleet makes the ratings stick) · combined forecast +0.04
Actual: about typical, within noise (−0.03 ± 0.25)

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 ±0.10 means a rating gap counts about 9% less 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 Drexel by wind direction (angle) and speed (rings), fitted surface; dots are labelled regatta-days, ★ this regatta (only 11 labelled days at Drexel, 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 →