SAISA South Points #4

# SchoolTeam A B TOT
1 University of Miami University of Miami Hurricanes 7 9 16
2 Eckerd College Eckerd College Tritons 14 5 19
3 New College of Florida New College of Florida Nulls 1 10 21 31
4 University of Florida University of Florida Gators 1 18 14 32
5 University of South Florida University of South Florida Bulls 12 22 34
6 Embry-Riddle University Embry-Riddle University Eagles 24 21 45
7 Rollins College Rollins College Tars 36 25 61
8 Florida State University Florida State University Florida State 32 33 65
9 New College of Florida New College of Florida Nulls 2 30 36 66
10 University of Florida University of Florida Gators 2 37 34 71
SchoolTeam R1 R2 R3 R4 TOT Sailors
University of Miami University of Miami Hurricanes 1 1 3 2 7 Max Thompson '19
Benjamin Ringrose '19
New College of Florida New College of Florida Nulls 1 3 3 1 3 10 Sophia Schultz '17
James Montgomery '17
University of South Florida University of South Florida Bulls 4 5 2 1 12 Michael Sanandajian '18
Darby Capellin '19
Eckerd College Eckerd College Tritons 2 2 4 6 14 Benjamin Chafee '16
Jean Crotty '18
University of Florida University of Florida Gators 1 5 4 5 4 18 Aaron Burnett '19
Maya Kwasniewski '19
Embry-Riddle University Embry-Riddle University Eagles 6 7 6 5 24 Joseph Geller '16
Michael Savage '17
New College of Florida New College of Florida Nulls 2 8 6 9 7 30 Francisco Perez '17
Constance Sartor '18
Florida State University Florida State University Florida State 7 10 7 8 32 Rafael Melendez '17
Ethan Voegele '19
Rollins College Rollins College Tars 9 8 10 9 36 John Larson '19
Federico Pozas '18
University of Florida University of Florida Gators 2 10 9 8 10 37 Paul Talty '19
Nicole Sieling '19
SchoolTeam R1 R2 R3 R4 TOT Sailors
Eckerd College Eckerd College Tritons 1 1 1 2 5 Matthew Peterson '18
Aliki Fornier '17
University of Miami University of Miami Hurricanes 2 3 3 1 9 Kyle Magno '18 [1-2]
James Larkin '18 [3-4]
James Larkin '18 [1-2]
Kyle Magno '18 [3-4]
University of Florida University of Florida Gators 1 7 2 2 3 14 Jasmine Dahlby '19
Katie Freeley '19
New College of Florida New College of Florida Nulls 1 3 4 10 4 21 Margaret Swerdloff '17
Cornell Lee '16
Embry-Riddle University Embry-Riddle University Eagles 4 7 5 5 21 No Show
Caitlin Clark '19
University of South Florida University of South Florida Bulls 6 6 4 6 22 Paul Grisko '18
Tiffany Nicholson '17
Rollins College Rollins College Tars 5 5 6 9 25 Cameron Lamir '15
Chantal Singer '17
Florida State University Florida State University Florida State 8 10 8 7 33 James Alessandrelli '17
No Show
University of Florida University of Florida Gators 2 9 8 9 8 34 Sarah Elzawahry '19 [1-2]
Charlotte Samson '19 [3-4]
Saiya Wang '18 [1-2]
Colton Hail '18 [3-4]
New College of Florida New College of Florida Nulls 2 10 9 7 10 36 Jerry Stoops '18
Mackenzie Gray '17
Boat Speed Analyzer
SlowExpected boat effectFast
−0.060+0.06
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 Fall 2012 (15 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

Team1A2A3A4A
Eckerd CollegeEckerd College Tritons1122
Embry-Riddle UniversityEmbry-Riddle University Eagles2233
University of FloridaUniversity of Florida Gators 17788
University of FloridaUniversity of Florida Gators 28899
Florida State UniversityFlorida State University Florida State3344
University of MiamiUniversity of Miami Hurricanes991010
New College of FloridaNew College of Florida Nulls 14455
New College of FloridaNew College of Florida Nulls 25566
Rollins CollegeRollins College Tars6677
University of South FloridaUniversity of South Florida Bulls101011

Division B

Team1B2B3B4B
Eckerd CollegeEckerd College Tritons1122
Embry-Riddle UniversityEmbry-Riddle University Eagles2233
University of FloridaUniversity of Florida Gators 17788
University of FloridaUniversity of Florida Gators 28899
Florida State UniversityFlorida State University Florida State3344
University of MiamiUniversity of Miami Hurricanes991010
New College of FloridaNew College of Florida Nulls 14455
New College of FloridaNew College of Florida Nulls 25566
Rollins CollegeRollins College Tars6677
University of South FloridaUniversity of South Florida Bulls101011

Conditions — 10/03/2015 (8am–6pm)

☁️Overcast
Humidity 77%  ·  Pressure 1002.1 hPa

Temperature

71°F
↑ 75°F   ↓ 65°F
Feels like 73°F

Wind

● from   ▲ toward
4.6 kn
avg  ·  max 6.2 kn
Gusts to 17.7 kn
From NW (308°)

Sky & Precipitation

Cloud cover99% Sunshine6.2 hrs Humidity77% Pressure1002.1 hPa

Orderliness — underdogs or favourites?

Breeze: N 8 kn (scorer’s report)
In this breeze at Florida: a favourites’ day (+0.06)
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 +0.16
Actual: about typical, within noise (+0.20 ± 0.19)

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 Florida by wind direction (angle) and speed (rings), fitted surface; dots are labelled regatta-days, ★ this regatta (only 4 labelled days at Florida, 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 →