SEISA Women's

# SchoolTeam A B TOT
1 Texas A&M University at Galveston Texas A&M University at Galveston Aggies 13 16 29
2 Tulane University Tulane University Green Wave 23 26 49
3 University of Texas University of Texas Longhorns 24 25 49
4 Texas A&M University Texas A&M University Texas A&M 41 35 76
5 University of North Texas University of North Texas North Texas 54 54 108
SchoolTeam R1 R2 R3 R4 R5 R6 R7 R8 R9 R10 TOT Sailors
Texas A&M University at Galveston Texas A&M University at Galveston Aggies 1 1 1 1 1 2 1 3 1 1 13 Jasmine Baloch '13 [1-10]
Megan Chan Chow '13 [1-4, 9-10]
Jessica Malone '12 [5-8]
Tulane University Tulane University Green Wave 2 3 2 3 2 1 3 2 2 3 23 Mackenzie Milne '13
Mary Duncan '11
University of Texas University of Texas Longhorns 3 2 3 2 3 3 2 1 3 2 24 Caitlynn Taylor '11 [1-10]
Catherine Galvan '12 [1-8]
Amanda Vining '13 [9-10]
Texas A&M University Texas A&M University Texas A&M 4 4 5 4 4 4 4 4 4 4 41 Kerry Pelton '13 [1-10]
Amanda Quintanilla '11 [1-4, 7-10]
Sarah Jones '11 [5-6]
University of North Texas University of North Texas North Texas 5 5 4 5 5 DNS DNS DNS DNS DNS 54 Rebecca Smith '11 [1-10]
Sara Woodward '10 [1-2]
Samantha Woodward '11 [3-10]
SchoolTeam R1 R2 R3 R4 R5 R6 R7 R8 R9 R10 TOT Sailors
Texas A&M University at Galveston Texas A&M University at Galveston Aggies 1 1 1 1 1 1 1 1 4 4 16 Laura Stamets '12 [1-8]
Megan Chan Chow '13 [9-10]
Amanda Reyes '15 [1-4, 7-8]
Leslie Holt '12 [5-6, 9-10]
University of Texas University of Texas Longhorns 3 2 4 3 2 4 2 3 1 1 25 Hazel Mahony '11
Ellen Hayes '11
Tulane University Tulane University Green Wave 2 3 2 2 4 2 3 2 3 3 26 Jessie Yoste '11
Lee Evans '13
Texas A&M University Texas A&M University Texas A&M 4 4 3 DSQ 3 3 4 4 2 2 35 Chelsea Bethancourt '12
Jennifer Bender '13
University of North Texas University of North Texas North Texas 5 5 5 4 5 DNS DNS DNS DNS DNS 54 Emily Hartnack '13
Alexandra Garcia '13
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 2010 (1 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

Team1A2A3A4A5A6A7A8A9A10A
University of North TexasUniversity of North Texas North Texas5522441133
University of TexasUniversity of Texas Longhorns1133552244
Texas A&M UniversityTexas A&M University Texas A&M3355224411
Texas A&M University at GalvestonTexas A&M University at Galveston Aggies2244113355
Tulane UniversityTulane University Green Wave4411335522

Division B

Team1B2B3B4B5B6B7B8B9B10B
University of North TexasUniversity of North Texas North Texas1133552244
University of TexasUniversity of Texas Longhorns2244113355
Texas A&M UniversityTexas A&M University Texas A&M4411335522
Texas A&M University at GalvestonTexas A&M University at Galveston Aggies3355224411
Tulane UniversityTulane University Green Wave5522441133
School / Team SkipperCrew
Texas A&M University Texas A&M University Kerry Pelton '13 [1-10] Amanda Quintanilla '11 [1-4, 7-10]
Sarah Jones '11 [5-6]
Texas A&M Chelsea Bethancourt '12 Jennifer Bender '13
Texas A&M University at Galveston Texas A&M University at Galveston Jasmine Baloch '13 [1-10] Megan Chan Chow '13 [1-4, 9-10]
Jessica Malone '12 [5-8]
Aggies Laura Stamets '12 [1-8]
Megan Chan Chow '13 [9-10]
Amanda Reyes '15 [1-4, 7-8]
Leslie Holt '12 [5-6, 9-10]
Tulane University Tulane University Mackenzie Milne '13 Mary Duncan '11
Green Wave Jessie Yoste '11 Lee Evans '13
University of North Texas University of North Texas Rebecca Smith '11 [1-10] Sara Woodward '10 [1-2]
Samantha Woodward '11 [3-10]
North Texas Emily Hartnack '13 Alexandra Garcia '13
University of Texas University of Texas Caitlynn Taylor '11 [1-10] Catherine Galvan '12 [1-8]
Amanda Vining '13 [9-10]
Longhorns Hazel Mahony '11 Ellen Hayes '11

Conditions — 04/10/2010 (8am–6pm)

☁️Overcast
Humidity 59%  ·  Pressure 1021.0 hPa

Temperature

68°F
↑ 74°F   ↓ 54°F
Feels like 65°F

Wind

● from   ▲ toward
8.8 kn
avg  ·  max 10.4 kn
Gusts to 21.8 kn
From SSE (147°)

Sky & Precipitation

Cloud cover71% Sunshine9.4 hrs Humidity59% Pressure1021.0 hPa

Orderliness — underdogs or favourites?

Breeze: SE 13 kn (scorer’s report)
In this breeze at Texas A&M: a strongly favourites’ day (+0.10)
Back the top seeds: results should follow the ratings, and the gaps between favourites hold.
Fleet adjustment +0.16 (a softer or greener fleet makes the ratings stick) · combined forecast +0.26
Actual: a strongly favourites’ day (+1.08 ± 0.32)

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 ±0.10 means a rating gap counts about 9% 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 →