SEISA Womens Champs

# SchoolTeam A B TOT
1 Texas A&M University at Galveston Texas A&M University at Galveston Aggies 18 10 28
2 Texas A&M University Texas A&M University Aggies 20 15 35
3 Tulane University Tulane University Green Wave 23 23 46
4 University of Texas University of Texas Longhorns 19 38 57
5 University of Central Oklahoma University of Central Oklahoma Bronchos 40 35 75
SchoolTeam R1 R2 R3 R4 R5 R6 R7 R8 TOT Sailors
Texas A&M University at Galveston Texas A&M University at Galveston Aggies 1 2 1 3 1 3 3 4 18 Kayla Sjoberg '14
Brittney Crawford '15
University of Texas University of Texas Longhorns 4 3 2 1 3 1 2 3 19 Masie Comen '15
Brinley Kranz '16
Texas A&M University Texas A&M University Aggies 2 1 4 4 4 2 1 2 20 Erin Hawk '16
Tracy Hawk '16
Tulane University Tulane University Green Wave 3 4 3 2 2 4 4 1 23 Alexandra Payne '15
No Show
University of Central Oklahoma University of Central Oklahoma Bronchos 5 5 5 5 5 5 5 5 40 Sarah Summers '13
Danielle Karim '14
SchoolTeam R1 R2 R3 R4 R5 R6 R7 R8 TOT Sailors
Texas A&M University at Galveston Texas A&M University at Galveston Aggies 1 1 1 2 2 1 1 1 10 Ryan Murphy '15
Rachel Mcmahon '15
Texas A&M University Texas A&M University Aggies 2 2 2 1 1 2 2 3 15 Megan Woodring '14
Stephanie Meals '15
Tulane University Tulane University Green Wave 3 3 3 3 3 3 3 2 23 Susan Herndon '15
Katherine Walsh '15
University of Central Oklahoma University of Central Oklahoma Bronchos 4 5 4 5 4 4 4 5 35 Mikasa Barnes '17
Kaity Calmes '17
University of Texas University of Texas Longhorns DSQ 4 5 4 5 5 5 4 38 Ashlynd Epstein '16 [1-2, 4-8]
Kayla Blanchard '13 [3]
Kayla Blanchard '13 [1-2, 4-8]
Ashlynd Epstein '16 [3]
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 Spring 2013 (13 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

Team1A2A3A4A5A6A7A8A
University of Central OklahomaUniversity of Central Oklahoma Bronchos11335566
University of TexasUniversity of Texas Longhorns33556677
Texas A&M UniversityTexas A&M University Aggies55667711
Texas A&M University at GalvestonTexas A&M University at Galveston Aggies66771133
Tulane UniversityTulane University Green Wave77113355

Division B

Team1B2B3B4B5B6B7B8B
University of Central OklahomaUniversity of Central Oklahoma Bronchos33556677
University of TexasUniversity of Texas Longhorns55667711
Texas A&M UniversityTexas A&M University Aggies66771133
Texas A&M University at GalvestonTexas A&M University at Galveston Aggies77113355
Tulane UniversityTulane University Green Wave11335566

Conditions — 04/05/2014 (8am–6pm)

☁️Overcast
Humidity 40%  ·  Pressure 1016.2 hPa

Temperature

63°F
↑ 69°F   ↓ 55°F
Feels like 57°F

Wind

● from   ▲ toward
7.7 kn
avg  ·  max 9.7 kn
Gusts to 19.0 kn
From ENE (64°)

Sky & Precipitation

Cloud cover99% Sunshine6.7 hrs Humidity40% Pressure1016.2 hPa Rain0.01 in

Orderliness — underdogs or favourites?

Breeze: N 6 kn (scorer’s report)
In this breeze at Texas A&M: a favourites’ day (+0.02)
Back the top seeds: results should follow the ratings, and the gaps between favourites hold.
Fleet adjustment +0.14 (a softer or greener fleet makes the ratings stick) · combined forecast +0.16
Actual: about typical, within noise (+0.18 ± 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 ±0.02 means a rating gap counts about 2% more 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 Texas A&M by wind direction (angle) and speed (rings), fitted surface; dots are labelled regatta-days, ★ this regatta (only 5 labelled days at Texas A&M, 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 →