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SAISA North Points #2

# SchoolTeam A B TOT
1 College of Charleston College of Charleston Cougars 4 6 10
2 University of North Carolina University of North Carolina North Carolina 11 8 19
3 University of Tennessee University of Tennessee Volunteers 11 11 22
4 Clemson University Clemson University Tigers 15 20 35
5 Georgia Institute of Technology Georgia Institute of Technology Georgia Tech 15 22 37
6 Vanderbilt University Vanderbilt University Vanderbilt 24 15 39
7 University of Georgia University of Georgia Georgia 32 32 64
SchoolTeam R1 R2 R3 R4 TOT Sailors
College of Charleston College of Charleston Cougars 1 1 1 BKD 4 Grace Lucas '14
Amy Kubie '14
University of Tennessee University of Tennessee Volunteers 3 4 3 1 11 Ervin Grove '11
Becca Hofmeister '14
University of North Carolina University of North Carolina North Carolina 4 3 2 2 11 John Mellnik '12
Fulton Byrne '11
Georgia Institute of Technology Georgia Institute of Technology Georgia Tech 2 5 5 3 15 Andrew Battigaglia '12
Elizabeth Rahn '15
Clemson University Clemson University Tigers 5 2 4 4 15 Alexander Smolka '13
Emily Klug '14
Vanderbilt University Vanderbilt University Vanderbilt 6 6 6 6 24 Katie Stack '14 [1-4]
Charles Curry '11 [1-2]
Simone Abella '13 [3-4]
University of Georgia University of Georgia Georgia DNS DNS DNS DNS 32
SchoolTeam R1 R2 R3 R4 TOT Sailors
College of Charleston College of Charleston Cougars 1 3 1 1 6 Nicole Hause '14
Courtney Alexander '14
University of North Carolina University of North Carolina North Carolina 2 1 3 2 8 Isabelle Hale '13
Alan Pernell '12
University of Tennessee University of Tennessee Volunteers 4 2 2 3 11 Paul Scruggs '12
Christine Hurst '13
Vanderbilt University Vanderbilt University Vanderbilt 3 4 BKD 4 15 Sommers Kline '14
Katie Marren '13
Clemson University Clemson University Tigers 5 5 4 6 20 Alex Rigsby '12 [1-2]
Connor Ritmiller '13 [3-4]
Connor Ritmiller '13 [1-2]
Alex Rigsby '12 [3-4]
Georgia Institute of Technology Georgia Institute of Technology Georgia Tech 6 6 5 5 22 Murphy Stephens '13 [1-2]
Ryan Korslund '14 [3-4]
Abhay Baliga '14 [1-2]
Alvin Lu '11 [3-4]
University of Georgia University of Georgia Georgia DNS DNS DSQ DNS 32
Boat Speed Analyzer
SlowExpected boat effectFast
−0.270+0.27
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 (5 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
College of CharlestonCollege of Charleston Cougars1144
Clemson UniversityClemson University Tigers2255
University of GeorgiaUniversity of Georgia Georgia3333
Georgia Institute of TechnologyGeorgia Institute of Technology Georgia Tech4466
University of North CarolinaUniversity of North Carolina North Carolina5577
University of TennesseeUniversity of Tennessee Volunteers6611
Vanderbilt UniversityVanderbilt University Vanderbilt7722

Division B

Team1B2B3B4B
College of CharlestonCollege of Charleston Cougars2266
Clemson UniversityClemson University Tigers4455
University of GeorgiaUniversity of Georgia Georgia3333
Georgia Institute of TechnologyGeorgia Institute of Technology Georgia Tech5577
University of North CarolinaUniversity of North Carolina North Carolina6611
University of TennesseeUniversity of Tennessee Volunteers7722
Vanderbilt UniversityVanderbilt University Vanderbilt1144

Conditions — 09/18/2010 (8am–6pm)

☀️Clear sky
Humidity 59%  ·  Pressure 1020.0 hPa

Temperature

78°F
↑ 85°F   ↓ 60°F
Feels like 81°F

Wind

● from   ▲ toward
3.3 kn
avg  ·  max 4.7 kn
Gusts to 12.6 kn
From NE (44°)

Sky & Precipitation

Cloud cover8% Sunshine10.4 hrs Humidity59% Pressure1020.0 hPa

Orderliness — underdogs or favourites?

Breeze: NE 5 kn (scorer’s report)
In this breeze at Tennessee: an underdogs’ day (−0.03)
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 +0.13
Actual: about typical, within noise (+0.06 ± 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 2% 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 Tennessee by wind direction (angle) and speed (rings), fitted surface; dots are labelled regatta-days, ★ this regatta (only 3 labelled days at Tennessee, 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 →