Sugar Bowl

# SchoolTeam TOT
1 University of Michigan University of Michigan Wolverines 139
2 Massachusetts Maritime Academy Massachusetts Maritime Academy Buccaneers 192
3 Tulane University Tulane University Green Wave 228
4 Georgia Institute of Technology Georgia Institute of Technology Yellow Jackets 276
5 Ohio State University Ohio State University The Ohio State Univ. 285
6 Texas A&M University Texas A&M University Aggies 312
7 Oklahoma State University Oklahoma State University Cowboys 336
8 University of Central Oklahoma University of Central Oklahoma Central Oklahoma 466
9 University of North Texas University of North Texas North Texas 504
SchoolTeam R1 R2 R3 R4 R5 R6 R7 R8 R9 R10 R11 R12 R13 R14 R15 R16 TOT Sailors
University of Michigan University of Michigan Wolverines A 7 2 4 4 2 4 7 7 4 2 7 4 2 2 2 1 61 Will Cyr '14
Heather Nowak '16
Massachusetts Maritime Academy Massachusetts Maritime Academy Buccaneers A 1 4 2 5 3 1 1 11 5 8 5 3 5 8 5 3 70 Sean Mclaughlin '15
Kaitlyn Nanartowich '14
Georgia Institute of Technology Georgia Institute of Technology Yellow Jackets A 2 1 DSQ 2 9 3 4 3 3 6 1 8 1 6 1 4 73 John Reddaway '15
Elizabeth Rahn '15
University of Michigan University of Michigan Wolverines B 9 8 5 1 1 6 15 2 2 1 2 7 6 5 6 2 78 Christopher Cyr '16
Taylor Landeryou '16
Texas A&M University Texas A&M University Aggies A 4 11 3 6 8 8 12 4 11 3 4 1 7 7 11 7 107 Colin Feik '13
Jennifer Bender '13
Tulane University Tulane University Green Wave B 8 5 6 3 14 9 5 12 8 5 3 11 4 3 3 11 110 Alexandra Payne '15 [1-16]
Jacob Shulist '13 [1-10]
Mackenzie Milne '13 [11-16]
Tulane University Tulane University Green Wave A 5 7 10 8 12 2 8 8 1 12 6 14 3 4 8 10 118 Philip Krause '13
Katherine Walsh '15
Massachusetts Maritime Academy Massachusetts Maritime Academy Buccaneers B 3 6 1 16 7 10 3 9 6 9 11 6 9 17 4 5 122 Daniel Barry '15
Camille Aiello '15
Ohio State University Ohio State University The Ohio State Univ. A 6 3 8 7 4 11 16 5 7 10 12 5 8 9 9 9 129 Adam Gilbertson '13
Anatoliy Kryvenko '15
Oklahoma State University Oklahoma State University Cowboys A 16 9 9 12 6 5 13 16 12 7 8 10 11 1 7 8 150 Ian Jones '15
Zachariah Duck '15
Ohio State University Ohio State University The Ohio State Univ. B 10 10 11 13 13 7 2 6 9 4 10 9 10 11 17 14 156 Corinne Sackett '15
Gwendolyn Mulvey '13
Oklahoma State University Oklahoma State University Cowboys B 12 14 15 11 5 13 6 1 14 16 13 12 16 14 12 12 186 Connor Murphy '14 [1-16]
Sam Webb '14 [1-8]
Matt Bardov '14 [9-12]
Tayln Edilson '13 [13-16]
Georgia Institute of Technology Georgia Institute of Technology Yellow Jackets B 11 12 12 OCS 10 16 14 10 15 13 9 13 12 10 14 13 203 Elliot Newnham '13 [1-2, 5-10]
Matthew Sheffield '13 [3-4, 11-16]
Matthew Sheffield '13 [1-2, 5-10]
Elliot Newnham '13 [3-4, 11-16]
Texas A&M University Texas A&M University Aggies B 15 16 7 10 11 14 11 15 16 11 14 2 15 18 13 17 205 Travis James '13 [1-16]
Ataly Asher '15 [1-2, 11-12, 15-16]
Katherine Biancardi '15 [3-4, 9-10, 13-14]
Michael Hearn '13 [5-8]
University of Central Oklahoma University of Central Oklahoma Central Oklahoma A 13 15 14 15 17 12 17 13 13 BKD 17 15 14 12 10 6 217 Tyler Boerner '14
Derek Taylor '13
University of North Texas University of North Texas North Texas A 14 13 13 9 15 17 10 14 10 14 15 17 13 13 15 15 217 Ryan Schwend '13
Eileen Blute '16
University of Central Oklahoma University of Central Oklahoma Central Oklahoma B 17 17 16 14 16 15 9 17 17 15 16 16 17 15 16 16 249 Sarah Summers '13 [1-16]
Anne Powell '13 [1-2, 9-12]
Darby Gilmore '14 [3-8, 13-16]
University of North Texas University of North Texas North Texas B 18 18 17 17 DNS DNS DNS DNS 18 17 18 18 18 16 18 18 287 Casey Crossland '13 [1-16]
Aj Smith '13 [1-8]
Eileen Blute '16 [9-16]
Boat Speed Analyzer
SlowExpected boat effectFast
−0.090+0.09
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 2011 (28 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

Team1A2A3A4A5A6A7A8A9A10A11A12A13A14A15A16A
University of Central OklahomaUniversity of Central Oklahoma Central Oklahoma443322111818171716161515
Georgia Institute of TechnologyGeorgia Institute of Technology Yellow Jackets1122334455667788
Massachusetts Maritime AcademyMassachusetts Maritime Academy Buccaneers2211181817171616151514141313
University of MichiganUniversity of Michigan Wolverines334455667788991010
University of North TexasUniversity of North Texas North Texas991010111112121313141415151616
Ohio State UniversityOhio State University The Ohio State Univ.66554433221118181717
Oklahoma State UniversityOklahoma State University Cowboys5566778899101011111212
Texas A&M UniversityTexas A&M University Aggies77889910101111121213131414
Tulane UniversityTulane University Green Wave8877665544332211

Division B

Team1B2B3B4B5B6B7B8B9B10B11B12B13B14B15B16B
University of Central OklahomaUniversity of Central Oklahoma Central Oklahoma1313141415151616171718181122
Georgia Institute of TechnologyGeorgia Institute of Technology Yellow Jackets101099887766554433
Massachusetts Maritime AcademyMassachusetts Maritime Academy Buccaneers11111212131314141515161617171818
University of MichiganUniversity of Michigan Wolverines1212111110109988776655
University of North TexasUniversity of North Texas North Texas18181717161615151414131312121111
Ohio State UniversityOhio State University The Ohio State Univ.151516161717181811223344
Oklahoma State UniversityOklahoma State University Cowboys14141313121211111010998877
Texas A&M UniversityTexas A&M University Aggies161615151414131312121111101099
Tulane UniversityTulane University Green Wave17171818112233445566
School / Team SkipperCrew
Georgia Institute of Technology Georgia Institute of Technology John Reddaway '15 Elizabeth Rahn '15
Yellow Jackets Elliot Newnham '13 [1-2, 5-10]
Matthew Sheffield '13 [3-4, 11-16]
Matthew Sheffield '13 [1-2, 5-10]
Elliot Newnham '13 [3-4, 11-16]
Massachusetts Maritime Academy Massachusetts Maritime Academy Sean Mclaughlin '15 Kaitlyn Nanartowich '14
Buccaneers Daniel Barry '15 Camille Aiello '15
Ohio State University Ohio State University Adam Gilbertson '13 Anatoliy Kryvenko '15
The Ohio State Univ. Corinne Sackett '15 Gwendolyn Mulvey '13
Oklahoma State University Oklahoma State University Ian Jones '15 Zachariah Duck '15
Cowboys Connor Murphy '14 [1-16] Sam Webb '14 [1-8]
Matt Bardov '14 [9-12]
Tayln Edilson '13 [13-16]
Texas A&M University Texas A&M University Colin Feik '13 Jennifer Bender '13
Aggies Travis James '13 [1-16] Ataly Asher '15 [1-2, 11-12, 15-16]
Katherine Biancardi '15 [3-4, 9-10, 13-14]
Michael Hearn '13 [5-8]
Tulane University Tulane University Philip Krause '13 Katherine Walsh '15
Green Wave Alexandra Payne '15 [1-16] Jacob Shulist '13 [1-10]
Mackenzie Milne '13 [11-16]
University of Central Oklahoma University of Central Oklahoma Tyler Boerner '14 Derek Taylor '13
Central Oklahoma Sarah Summers '13 [1-16] Anne Powell '13 [1-2, 9-12]
Darby Gilmore '14 [3-8, 13-16]
University of Michigan University of Michigan Will Cyr '14 Heather Nowak '16
Wolverines Christopher Cyr '16 Taylor Landeryou '16
University of North Texas University of North Texas Ryan Schwend '13 Eileen Blute '16
North Texas Casey Crossland '13 [1-16] Aj Smith '13 [1-8]
Eileen Blute '16 [9-16]

Conditions — 12/30/2012 (8am–6pm)

☁️Overcast
Humidity 58%  ·  Pressure 1031.0 hPa

Temperature

44°F
↑ 48°F   ↓ 37°F
Feels like 36°F

Wind

● from   ▲ toward
8.1 kn
avg  ·  max 10.3 kn
Gusts to 19.8 kn
From ENE (61°)

Sky & Precipitation

Cloud cover82% Sunshine10.0 hrs Humidity58% Pressure1031.0 hPa

Orderliness — underdogs or favourites?

Breeze: NE 19 kn · E 7 kn (scorer’s report)
In this breeze at Tulane: a favourites’ day (+0.05)
Back the top seeds: results should follow the ratings, and the gaps between favourites hold.
Fleet adjustment +0.09 (a softer or greener fleet makes the ratings stick) · combined forecast +0.14
Actual: about typical, within noise (−0.04 ± 0.11)

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 ±0.05 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 Tulane by wind direction (angle) and speed (rings), fitted surface; dots are labelled regatta-days, ★ this regatta (38 labelled days at Tulane).

From the notes

Short write-ups of what the ratings and results show, with the numbers and how they were computed.

All notes →