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SAISA North Points #5

# SchoolTeam A B TOT
1 College of Charleston College of Charleston Cougars 12 9 21
2 Georgia Institute of Technology Georgia Institute of Technology Georgia Tech 12 22 34
3 Clemson University Clemson University Tigers 24 16 40
4 Duke University Duke University Blue Devils 25 19 44
5 Auburn University Auburn University Auburn 25 23 48
6 University of Tennessee University of Tennessee Volunteers 23 28 51
7 University of North Carolina at Wilmington University of North Carolina at Wilmington UNC Wilmington 21 31 52
8 University of Georgia University of Georgia Georgia 38 40 78
9 Emory University Emory University Emory 45 37 82
SchoolTeam R1 R2 R3 R4 R5 TOT Sailors
College of Charleston College of Charleston Cougars 1 3 2 1 5 12 Nicole Hause '14
Elizabeth Chambers '14
Georgia Institute of Technology Georgia Institute of Technology Georgia Tech 2 1 1 5 3 12 Andrew Battigaglia '12
Elizabeth Rahn '15
University of North Carolina at Wilmington University of North Carolina at Wilmington UNC Wilmington 8 5 4 3 1 21 Oliver Evans '12
Tamara Greak '13
University of Tennessee University of Tennessee Volunteers 5 4 3 7 4 23 Ervin Grove '11
Becca Hofmeister '14
Clemson University Clemson University Tigers 6 2 8 6 2 24 Kathryn Hodges '11 [1-4]
Anna Bradley '11 [5]
Anna Bradley '11 [1-4]
Kathryn Hodges '11 [5]
Auburn University Auburn University Auburn 3 7 5 4 6 25 Samuel Hodges '13 [1-5]
Anna Sprague '14 [1-4]
Lauren Jennings '12 [5]
Duke University Duke University Blue Devils 4 6 6 2 7 25 Gregory Bachman '11
George Bokinsky '11
University of Georgia University of Georgia Georgia 7 8 7 8 8 38 Lauren Mclean '13
Pierre Noebes '14
Emory University Emory University Emory 9 9 9 9 9 45 Matthew Mcmurray '12
Andrew Bowman '12
SchoolTeam R1 R2 R3 R4 R5 TOT Sailors
College of Charleston College of Charleston Cougars 3 1 2 2 1 9 Amy Kubie '14
Jenny Powell '14
Clemson University Clemson University Tigers 2 2 1 8 3 16 Adam Matyi-Szabo '14
Michelle Herridge '13
Duke University Duke University Blue Devils 6 5 5 1 2 19 Hans Lie-Nielsen '14
Jaakov Schulman '14
Georgia Institute of Technology Georgia Institute of Technology Georgia Tech 4 6 3 4 5 22 Abhay Baliga '14 [1-5]
Lacey Wildes '12 [1-4]
Haley Carney '09 [5]
Auburn University Auburn University Auburn 1 7 4 5 6 23 Wesley Wallace '14 [1-2]
Robert Dye '11 [3-5]
Elissa Ritchey '12 [1-2, 5]
Thomas Andrews '13 [3-4]
University of Tennessee University of Tennessee Volunteers 7 3 8 6 4 28 Paul Scruggs '12
Shanthi Appello '14
University of North Carolina at Wilmington University of North Carolina at Wilmington UNC Wilmington 8 4 9 3 7 31 Andrew Wittman '12
Breanna Villars '13
Emory University Emory University Emory 5 9 6 9 8 37 Brent Morel '12
Lindsay Matthews '12
University of Georgia University of Georgia Georgia 9 8 7 7 9 40 Caroline Cave '12
Dave Shaw '12
Boat Speed Analyzer
SlowExpected boat effectFast
−0.070+0.07
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 Fall 2010 (3 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
Auburn UniversityAuburn University Auburn11336
College of CharlestonCollege of Charleston Cougars22447
Clemson UniversityClemson University Tigers33668
Duke UniversityDuke University Blue Devils1010224
Emory UniversityEmory University Emory44779
University of GeorgiaUniversity of Georgia Georgia668810
Georgia Institute of TechnologyGeorgia Institute of Technology Georgia Tech77991
University of TennesseeUniversity of Tennessee Volunteers8810102
University of North Carolina at WilmingtonUniversity of North Carolina at Wilmington UNC Wilmington99113

Division B

Team1B2B3B4B5B
Auburn UniversityAuburn University Auburn22447
College of CharlestonCollege of Charleston Cougars33668
Clemson UniversityClemson University Tigers44779
Duke UniversityDuke University Blue Devils11336
Emory UniversityEmory University Emory668810
University of GeorgiaUniversity of Georgia Georgia77991
Georgia Institute of TechnologyGeorgia Institute of Technology Georgia Tech8810102
University of TennesseeUniversity of Tennessee Volunteers99113
University of North Carolina at WilmingtonUniversity of North Carolina at Wilmington UNC Wilmington1010224

Conditions — 10/16/2010 (8am–6pm)

☀️Clear sky
Humidity 40%  ·  Pressure 1020.9 hPa

Temperature

65°F
↑ 73°F   ↓ 46°F
Feels like 62°F

Wind

● from   ▲ toward
2.2 kn
avg  ·  max 3.5 kn
Gusts to 8.9 kn
From NNW (329°)

Sky & Precipitation

Cloud cover0% Sunshine10.0 hrs Humidity40% Pressure1020.9 hPa

Orderliness — underdogs or favourites?

Breeze: S 6 kn (scorer’s report)
In this breeze at Georgia Tech: an underdogs’ day (−0.04)
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 +0.11
Actual: about typical, within noise (−0.03 ± 0.18)

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% 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 Georgia Tech by wind direction (angle) and speed (rings), fitted surface; dots are labelled regatta-days, ★ this regatta (only 5 labelled days at Georgia Tech, 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 →