UMD Greenhorn Regatta

# SchoolTeam A B TOT
1 University of Maryland University of Maryland Terps 2 14 4 18
2 Johnnies 2 Johnnies 2 Johnnies 2 12 10 22
3 Johnnies 1 Johnnies 1 Johnnies 1 11 14 25
4 University of Maryland University of Maryland Terps 1 5 20 25
5 University of Maryland/Baltimore County University of Maryland/Baltimore County Retrievers 18 12 30
SchoolTeam R1 R2 R3 R4 TOT Sailors
University of Maryland University of Maryland Terps 1 2 1 1 1 5 Michael Bisson '22
Ezra Trost '22
Johnnies 1 Johnnies 1 Johnnies 1 1 3 2 5 11
Johnnies 2 Johnnies 2 Johnnies 2 3 4 3 2 12
University of Maryland University of Maryland Terps 2 4 2 4 4 14 Elizabeth Keller '22
David Korendyke '22
University of Maryland/Baltimore County University of Maryland/Baltimore County Retrievers 5 5 5 3 18 Enis Golaszewski '21
Daniel Engbert '19
SchoolTeam R1 R2 R3 R4 TOT Sailors
University of Maryland University of Maryland Terps 2 1 1 1 1 4 Katherine Crawford '22
Helena Aberger '21
Johnnies 2 Johnnies 2 Johnnies 2 3 2 3 2 10
University of Maryland/Baltimore County University of Maryland/Baltimore County Retrievers 4 3 2 3 12 William Gao '19
Zachary Vance '19
Johnnies 1 Johnnies 1 Johnnies 1 2 4 4 4 14
University of Maryland University of Maryland Terps 1 5 5 5 5 20 Liam O'Malley '22
Bianca Meinhardt '21
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

Team1A2A3A4A
University of MarylandUniversity of Maryland Terps 13355
University of MarylandUniversity of Maryland Terps 24411
University of Maryland/Baltimore CountyUniversity of Maryland/Baltimore County Retrievers5522
Johnnies 1Johnnies 1 Johnnies 11133
Johnnies 2Johnnies 2 Johnnies 22244

Division B

Team1B2B3B4B
University of MarylandUniversity of Maryland Terps 14411
University of MarylandUniversity of Maryland Terps 25522
University of Maryland/Baltimore CountyUniversity of Maryland/Baltimore County Retrievers1133
Johnnies 1Johnnies 1 Johnnies 12244
Johnnies 2Johnnies 2 Johnnies 23355

Conditions — 10/20/2018 (8am–6pm)

☁️Overcast
Humidity 72%  ·  Pressure 1007.4 hPa

Temperature

61°F
↑ 65°F   ↓ 55°F
Feels like 58°F

Wind

● from   ▲ toward
6.4 kn
avg  ·  max 8.6 kn
Gusts to 19.0 kn
From W (263°)

Sky & Precipitation

Cloud cover74% Sunshine6.0 hrs Humidity72% Pressure1007.4 hPa

What this breeze does at Maryland — from fleet racing

Breeze: W about 9 kn (weather reanalysis in the scorer’s units)
In fleet races at Maryland in this breeze: a typical day (+0.02)
Nothing in this breeze favours either side in fleet racing here: results follow the ratings about as usual.

Orderliness is how tightly a fleet race’s finishing order follows the pre-regatta ratings, relative to a typical event (0): positive is the favourites’ day, negative the underdogs’. A value of ±0.02 means a rating gap counts about 2% more than on a typical day. This event is not a fleet race the rating model scores, so there is no actual value for it: this is what this venue’s fleet racing history says about the breeze on the day, read off the chart at the star. 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 →