Sugar Bowl

# SchoolTeam A B TOT
1 Tulane University Tulane University Green Wave 32 28 60
2 University of Wisconsin University of Wisconsin Badgers 26 35 61
3 Ohio University Ohio University Bobcats 59 31 90
4 Ohio State University Ohio State University Buckeyes 42 60 102
5 Texas A&M University Texas A&M University Aggies 63 67 130
6 University of Texas University of Texas Longhorns 85 74 159
7 University of Central Oklahoma University of Central Oklahoma Bronchos 83 92 175
SchoolTeam R1 R2 R3 R4 R5 R6 R7 R8 R9 R10 R11 R12 R13 R14 TOT Sailors
University of Wisconsin University of Wisconsin Badgers 1 1 1 1 2 2 DNS 1 2 3 1 1 1 1 26 Whitney Kent '15 [1-4, 7-8, 11-14]
Leslie Poole '16 [5-6, 9-10]
Katie Hall '16 [1-6, 11-14]
Elliot Busta '15 [7-10]
Tulane University Tulane University Green Wave 3 2 2 4 1 1 1 2 1 4 2 2 2 5 32 Nick Watts '18 [1-14]
Katherine Robinson '19 [1-6, 13-14]
Siri Anderson '19 [7-8, 11-12]
Katie Smalley '12 [9-10]
Ohio State University Ohio State University Buckeyes 2 3 4 3 4 3 2 3 5 1 3 3 4 2 42 Corinne Sackett '15 [1-14]
Maddy Mcsweeney '17 [1-12]
Hannah Brosky '17 [13-14]
Ohio University Ohio University Bobcats 4 5 3 2 3 4 4 4 3 2 7 7 RDG 7 59 Taylor Sackett '17
Rob Berry '16
Texas A&M University Texas A&M University Aggies 5 4 6 5 5 5 3 5 4 5 4 4 5 3 63 Erin Hawk '16
Raymond Hamilton '19
University of Central Oklahoma University of Central Oklahoma Bronchos 6 6 7 7 7 6 6 6 6 6 6 5 3 6 83 Mikasa Barnes '17
No Show
University of Texas University of Texas Longhorns 7 7 5 6 6 7 5 7 7 7 5 6 6 4 85 Aaron Comen '18
Samantha Robbins '18
SchoolTeam R1 R2 R3 R4 R5 R6 R7 R8 R9 R10 R11 R12 R13 R14 TOT Sailors
Tulane University Tulane University Green Wave 2 3 1 1 1 2 3 3 2 2 3 2 1 2 28 Jessica Oswalt '16 [1-14]
Alexandra Betzios '18 [1-2, 7-8, 13-14]
Malcolm Kriegel '18 [3-6, 9-10]
David Graf '19 [11-12]
Ohio University Ohio University Bobcats 3 2 2 2 4 1 2 1 3 3 2 3 RDG 1 31 Abby Freeman '16
Andrew Kerr '19
University of Wisconsin University of Wisconsin Badgers 1 1 DSQ 3 2 3 1 2 1 1 1 1 2 DSQ 35 Ian Norman '18 [1-4, 11-14]
James Sitter '17 [5-10]
Elliot Busta '15 [1-4]
Brian Tobelmann '18 [5-14]
Ohio State University Ohio State University Buckeyes 4 4 4 4 3 4 4 4 5 4 6 6 4 4 60 Brittany Mosgo '17 [1-2, 11-14]
David Aspery '16 [3-10]
Emily Robinson '16 [1-2, 11-14]
Anatoliy Kryvenko '15 [3-10]
Texas A&M University Texas A&M University Aggies 5 5 3 5 5 RDG 6 6 6 5 4 4 3 5 67 Walter Pospick '17
Colton Hard '19
University of Texas University of Texas Longhorns 7 6 5 6 6 5 5 5 4 7 5 5 5 3 74 Caroline Bik '19
Alec Chappetta '18
University of Central Oklahoma University of Central Oklahoma Bronchos 6 7 6 7 7 6 7 7 7 6 7 7 6 6 92 Jordan Johnson '17
Rachael Hoover '17
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

Team1A2A3A4A5A6A7A8A9A10A11A12A13A14A
University of Central OklahomaUniversity of Central Oklahoma Bronchos66778811334455
Ohio UniversityOhio University Bobcats33445566778811
Ohio State UniversityOhio State University Buckeyes11334455667788
University of TexasUniversity of Texas Longhorns77881133445566
Texas A&M UniversityTexas A&M University Aggies44556677881133
Tulane UniversityTulane University Green Wave55667788113344
University of WisconsinUniversity of Wisconsin Badgers88113344556677

Division B

Team1B2B3B4B5B6B7B8B9B10B11B12B13B14B
University of Central OklahomaUniversity of Central Oklahoma Bronchos19192020222299101017171818
Ohio UniversityOhio University Bobcats10101717181819192020222299
Ohio State UniversityOhio State University Buckeyes99101017171818191920202222
University of TexasUniversity of Texas Longhorns20202222991010171718181919
Texas A&M UniversityTexas A&M University Aggies17171818191920202222991010
Tulane UniversityTulane University Green Wave18181919202022229910101717
University of WisconsinUniversity of Wisconsin Badgers22229910101717181819192020
School / Team SkipperCrew
Ohio State University Ohio State University Corinne Sackett '15 [1-14] Maddy Mcsweeney '17 [1-12]
Hannah Brosky '17 [13-14]
Buckeyes Brittany Mosgo '17 [1-2, 11-14]
David Aspery '16 [3-10]
Emily Robinson '16 [1-2, 11-14]
Anatoliy Kryvenko '15 [3-10]
Ohio University Ohio University Taylor Sackett '17 Rob Berry '16
Bobcats Abby Freeman '16 Andrew Kerr '19
Texas A&M University Texas A&M University Erin Hawk '16 Raymond Hamilton '19
Aggies Walter Pospick '17 Colton Hard '19
Tulane University Tulane University Nick Watts '18 [1-14] Katherine Robinson '19 [1-6, 13-14]
Siri Anderson '19 [7-8, 11-12]
Katie Smalley '12 [9-10]
Green Wave Jessica Oswalt '16 [1-14] Alexandra Betzios '18 [1-2, 7-8, 13-14]
Malcolm Kriegel '18 [3-6, 9-10]
David Graf '19 [11-12]
University of Central Oklahoma University of Central Oklahoma Mikasa Barnes '17 No Show
Bronchos Jordan Johnson '17 Rachael Hoover '17
University of Texas University of Texas Aaron Comen '18 Samantha Robbins '18
Longhorns Caroline Bik '19 Alec Chappetta '18
University of Wisconsin University of Wisconsin Whitney Kent '15 [1-4, 7-8, 11-14]
Leslie Poole '16 [5-6, 9-10]
Katie Hall '16 [1-6, 11-14]
Elliot Busta '15 [7-10]
Badgers Ian Norman '18 [1-4, 11-14]
James Sitter '17 [5-10]
Elliot Busta '15 [1-4]
Brian Tobelmann '18 [5-14]

Conditions — 12/30/2015 (8am–6pm)

🌧️Moderate rain
Humidity 93%  ·  Pressure 1020.2 hPa

Temperature

58°F
↑ 59°F   ↓ 58°F
Feels like 55°F

Wind

● from   ▲ toward
10.7 kn
avg  ·  max 11.5 kn
Gusts to 34.4 kn
From NNE (18°)

Sky & Precipitation

Cloud cover100% Sunshine0.0 hrs Humidity93% Pressure1020.2 hPa Rain1.06 in

Orderliness — underdogs or favourites?

Breeze: N 16 kn · NE 13 kn* (*weather reanalysis in the scorer’s units)
In this breeze at Tulane: a favourites’ day (+0.04)
Back the top seeds: results should follow the ratings, and the gaps between favourites hold.
Fleet adjustment +0.10 (a softer or greener fleet makes the ratings stick) · combined forecast +0.14
Actual: about typical, within noise (+0.19 ± 0.13)

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% 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 →