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Drexel Open

# SchoolTeam A B TOT
1 Drexel University Drexel University Dragons 11 14 25
2 Rutgers University Rutgers University Rutgers 21 11 32
3 University of Pennsylvania University of Pennsylvania Quakers 24 8 32
4 Rochester Institute of Technology Rochester Institute of Technology Tigers 12 27 39
5 Webb Institute Webb Institute Clippers 17 31 48
6 University of Pittsburgh University of Pittsburgh Pitt Panthers 20 29 49
7 Princeton University Princeton University Tigers 35 21 56
SchoolTeam R1 R2 R3 R4 R5 TOT Sailors
Drexel University Drexel University Dragons 1 3 1 4 2 11 Frederick Piasecki '20
Tracy Venella '16
Rochester Institute of Technology Rochester Institute of Technology Tigers 2 1 3 1 5 12 Cynthia Stetson '18
Skylar Munger '17
Webb Institute Webb Institute Clippers 3 4 5 2 3 17 Cody Stansky '16
Kurt Gavel '16
University of Pittsburgh University of Pittsburgh Pitt Panthers 4 2 2 6 6 20 Christopher Cunningham '16
Suinn Kim '17
Rutgers University Rutgers University Rutgers 5 5 4 3 4 21 Courtney Williams '14
Edgard Sanchez '19
University of Pennsylvania University of Pennsylvania Quakers 6 6 6 5 1 24 Steven Ho '16
Cruz Vargas '15
Princeton University Princeton University Tigers 7 7 7 7 7 35 Henry Pease '16 [1-4]
Thomas Fair '18 [5]
Gokul Mukunda '18 [1-4]
SchoolTeam R1 R2 R3 R4 R5 TOT Sailors
University of Pennsylvania University of Pennsylvania Quakers 1 2 1 1 3 8 Matthias Chia '15 [1-2, 5]
Matthew Cartwright '18 [3-4]
Alexander Shea '18 [1-2, 5]
Rutgers University Rutgers University Rutgers 3 1 2 3 2 11 Mary Morgan '15
Alexander Syzonenko '16
Drexel University Drexel University Dragons 2 3 3 2 4 14 Robert Stricek '15
Angela Coughlin '17
Princeton University Princeton University Tigers 5 5 6 4 1 21 Malcolm Steinberg '17
Rochester Institute of Technology Rochester Institute of Technology Tigers 4 4 5 6 DNF 27 Tucker Nelson '18
Samantha Hung-Krause '19
University of Pittsburgh University of Pittsburgh Pitt Panthers 6 6 7 5 5 29 Steven Cefalu '16
Keels Brockington '16
Webb Institute Webb Institute Clippers 7 7 4 7 6 31 Alexandra Heitman '18
Oleg Golubev '16
Boat Speed Analyzer
SlowExpected boat effectFast
−0.100+0.10
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
Drexel UniversityDrexel University Dragons11223
University of PennsylvaniaUniversity of Pennsylvania Quakers66778
University of PittsburghUniversity of Pittsburgh Pitt Panthers77881
Princeton UniversityPrinceton University Tigers22335
Rochester Institute of TechnologyRochester Institute of Technology Tigers33556
Rutgers UniversityRutgers University Rutgers55667
Webb InstituteWebb Institute Clippers88112

Division B

Team1B2B3B4B5B
Drexel UniversityDrexel University Dragons11223
University of PennsylvaniaUniversity of Pennsylvania Quakers66778
University of PittsburghUniversity of Pittsburgh Pitt Panthers77881
Princeton UniversityPrinceton University Tigers22335
Rochester Institute of TechnologyRochester Institute of Technology Tigers33556
Rutgers UniversityRutgers University Rutgers55667
Webb InstituteWebb Institute Clippers88112

Conditions — 05/09/2015 (8am–6pm)

☁️Overcast
Humidity 78%  ·  Pressure 1024.4 hPa

Temperature

69°F
↑ 75°F   ↓ 60°F
Feels like 71°F

Wind

● from   ▲ toward
4.0 kn
avg  ·  max 4.7 kn
Gusts to 11.5 kn
From E (87°)

Sky & Precipitation

Cloud cover97% Sunshine7.3 hrs Humidity78% Pressure1024.4 hPa Rain0.02 in

Orderliness — underdogs or favourites?

Breeze: E 7 kn · SW 8 kn (weather reanalysis in the scorer’s units)
In this breeze at Drexel: an underdogs’ day (−0.08)
Expect upsets: lower-rated teams have a better chance of beating the seeds, and the fleet bunches up.
Fleet adjustment +0.16 (a softer or greener fleet makes the ratings stick) · combined forecast +0.08
Actual: about typical, within noise (−0.32 ± 0.22)

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 ±0.08 means a rating gap counts about 7% 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 →