Barnyard Bazaar

# SchoolTeam A B TOT
1 Texas A&M University at Galveston Texas A&M University at Galveston Aggies 1 6 6 12
2 Texas A&M University at Galveston Texas A&M University at Galveston Aggies 2 9 10 19
3 Texas A&M University Texas A&M University Aggies 1 16 15 31
4 University of Texas University of Texas Longhorns 23 24 47
5 Texas A&M University Texas A&M University Aggies 2 24 26 50
6 University of Central Oklahoma University of Central Oklahoma Bronchos 27 24 51
SchoolTeam R1 R2 R3 R4 R5 TOT Sailors
Texas A&M University at Galveston Texas A&M University at Galveston Aggies 1 1 1 2 1 1 6 Jacob Hafemeister '16
Amanda Reyes '15
Texas A&M University at Galveston Texas A&M University at Galveston Aggies 2 2 2 1 2 2 9 Dylan Marohn '16
Trey Hartman '15
Texas A&M University Texas A&M University Aggies 1 3 3 3 4 3 16 Benjamin Lipari '18
Hunter Meis '17
University of Texas University of Texas Longhorns 5 5 5 3 5 23 Ashlynd Epstein '16
Ashlynd Epstein '16
Texas A&M University Texas A&M University Aggies 2 6 4 4 6 4 24 Carson Pepper '17 [1-3]
Catherine Bristow '17 [4-5]
Catherine Bristow '17 [1-3]
Carson Pepper '17 [4-5]
University of Central Oklahoma University of Central Oklahoma Bronchos 4 6 6 5 6 27 Mikasa Barnes '17
Kinsey Tedford '15
SchoolTeam R1 R2 R3 R4 R5 TOT Sailors
Texas A&M University at Galveston Texas A&M University at Galveston Aggies 1 1 1 1 1 2 6 Dylan Marohn '16
Alex Kraemer '16
Texas A&M University at Galveston Texas A&M University at Galveston Aggies 2 2 2 2 3 1 10 Austen Parish '17
Sawyer Cole '18
Texas A&M University Texas A&M University Aggies 1 4 3 3 2 3 15 Erin Hawk '16
Matthew Smith '18
University of Central Oklahoma University of Central Oklahoma Bronchos 5 5 5 5 4 24 Jordan Johnson '17
Krystin Brown '17
University of Texas University of Texas Longhorns 6 4 4 4 6 24 Aaron Comen '18 [1-5]
Brinley Kranz '16 [1-3]
Samantha Robbins '18 [4-5]
Texas A&M University Texas A&M University Aggies 2 3 6 6 6 5 26 Alyssa Schultz '16 [1-3]
Sarah Turner '15 [4-5]
Alyssa Schultz '16 [1-3]
Sarah Turner '15 [4-5]
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

Team1A2A3A4A5A
University of Central OklahomaUniversity of Central Oklahoma Bronchos66112
University of TexasUniversity of Texas Longhorns55661
Texas A&M UniversityTexas A&M University Aggies 133445
Texas A&M UniversityTexas A&M University Aggies 244556
Texas A&M University at GalvestonTexas A&M University at Galveston Aggies 111223
Texas A&M University at GalvestonTexas A&M University at Galveston Aggies 222334

Division B

Team1B2B3B4B5B
University of Central OklahomaUniversity of Central Oklahoma Bronchos66112
University of TexasUniversity of Texas Longhorns55661
Texas A&M UniversityTexas A&M University Aggies 133445
Texas A&M UniversityTexas A&M University Aggies 244556
Texas A&M University at GalvestonTexas A&M University at Galveston Aggies 111223
Texas A&M University at GalvestonTexas A&M University at Galveston Aggies 222334

Conditions — 03/07/2015 (8am–6pm)

🌤️Partly cloudy
Humidity 53%  ·  Pressure 1030.4 hPa

Temperature

50°F
↑ 56°F   ↓ 40°F
Feels like 45°F

Wind

● from   ▲ toward
2.4 kn
avg  ·  max 3.8 kn
Gusts to 9.3 kn
From E (93°)

Sky & Precipitation

Cloud cover77% Sunshine4.2 hrs Humidity53% Pressure1030.4 hPa

Orderliness — underdogs or favourites?

Breeze: E 6 kn (weather reanalysis in the scorer’s units)
In this breeze at Texas A&M: a favourites’ day (+0.06)
Back the top seeds: results should follow the ratings, and the gaps between favourites hold.
Fleet adjustment +0.13 (a softer or greener fleet makes the ratings stick) · combined forecast +0.19
Actual: about typical, within noise (+0.37 ± 0.24)

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 ±0.06 means a rating gap counts about 5% 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 →