Coho Memorial

# SchoolTeam A B TOT
1 Columbia University Columbia University Lions 11 5 16
2 SUNY Stony Brook SUNY Stony Brook Seawolves 8 14 22
3 Stevens Institute of Technology Stevens Institute of Technology Ducks 13 13 26
4 Webb Institute Webb Institute Clippers 20 20 40
5 U. S. Military Academy U. S. Military Academy Black Knights 23 23 46
SchoolTeam R1 R2 R3 R4 R5 TOT Sailors
SUNY Stony Brook SUNY Stony Brook Seawolves 2 2 1 2 1 8 Rose Von Eckartsberg '25
Margaret Myers-Aldous '25
Columbia University Columbia University Lions 3 3 2 1 2 11 Chase O'Malley '26
Eva Decastro '28
Stevens Institute of Technology Stevens Institute of Technology Ducks 1 1 4 4 3 13 Tristan Feves '27 [1-2, 5]
Aiden Arias '28 [3]
Niall Powers Ozyurt '27 [4]
Anthony Webster '25 [1, 5]
Niall Powers Ozyurt '27 [2]
Gianmarco Costa '26 [3]
Oscar Mcmahan '28 [4]
Webb Institute Webb Institute Clippers 5 5 3 3 4 20 Ty Mazzga '28 [1-2]
Jack Prior '27 [3-5]
Joseph Giresi '28 [1-4]
Aiden Bowman '28 [5]
U. S. Military Academy U. S. Military Academy Black Knights 4 4 5 5 5 23 Gustavus Hankinson '27 [1-2, 5]
Sarra Salah '26 [3-4]
Kwame Adusei-Poku '27 [1-2]
Justin Mcdaniel '27 [3-4]
Madelyn Zimmerman '28 [5]
SchoolTeam R1 R2 R3 R4 R5 TOT Sailors
Columbia University Columbia University Lions 1 1 1 1 1 5 Elizabeth Frost '27
Robinson Claytor '27
Stevens Institute of Technology Stevens Institute of Technology Ducks 2 2 4 3 2 13 Luke Saletta '28 [1-2, 5]
Yang Yi Zheng '28 [3-4]
Anthony Webster '25 [1, 3, 5]
Oscar Mcmahan '28 [2]
Gianmarco Costa '26 [4]
SUNY Stony Brook SUNY Stony Brook Seawolves 3 3 2 2 4 14 Cassandra Edwards '27 [1-2, 5]
Ernest Glukhov '27 [3-4]
Sophia Dimont '27 [1-2, 5]
Avery Connor '27 [3-4]
Webb Institute Webb Institute Clippers 5 5 3 4 3 20 Laura Peck '28 [1-2]
Giovanni Perrotti '27 [3-5]
Collin Fahey '28 [1-4]
Chris Robbins '28 [5]
U. S. Military Academy U. S. Military Academy Black Knights 4 4 5 5 5 23 Gabriel Kunze '25 [1-5]
Heera Kalidindi '28 [1-2]
Jaxxon Otteson '28 [3-4]
Madelyn Zimmerman '28 [5]
Boat Speed Analyzer
SlowExpected boat effectFast
−0.080+0.08
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 (17 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
U. S. Military AcademyU. S. Military Academy Black Knights44113
Columbia UniversityColumbia University Lions11335
Stevens Institute of TechnologyStevens Institute of Technology Ducks33552
SUNY Stony BrookSUNY Stony Brook Seawolves22441
Webb InstituteWebb Institute Clippers55224

Division B

Team1B2B3B4B5B
U. S. Military AcademyU. S. Military Academy Black Knights55224
Columbia UniversityColumbia University Lions22441
Stevens Institute of TechnologyStevens Institute of Technology Ducks44113
SUNY Stony BrookSUNY Stony Brook Seawolves33552
Webb InstituteWebb Institute Clippers11335
School / Team SkipperCrew
Columbia University Columbia University Chase O'Malley '26 Eva Decastro '28
Lions Elizabeth Frost '27 Robinson Claytor '27
SUNY Stony Brook SUNY Stony Brook Rose Von Eckartsberg '25 Margaret Myers-Aldous '25
Seawolves Cassandra Edwards '27 [1-2, 5]
Ernest Glukhov '27 [3-4]
Sophia Dimont '27 [1-2, 5]
Avery Connor '27 [3-4]
Stevens Institute of Technology Stevens Institute of Technology Tristan Feves '27 [1-2, 5]
Aiden Arias '28 [3]
Niall Powers Ozyurt '27 [4]
Anthony Webster '25 [1, 5]
Niall Powers Ozyurt '27 [2]
Gianmarco Costa '26 [3]
Oscar Mcmahan '28 [4]
Ducks Luke Saletta '28 [1-2, 5]
Yang Yi Zheng '28 [3-4]
Anthony Webster '25 [1, 3, 5]
Oscar Mcmahan '28 [2]
Gianmarco Costa '26 [4]
U. S. Military Academy U. S. Military Academy Gustavus Hankinson '27 [1-2, 5]
Sarra Salah '26 [3-4]
Kwame Adusei-Poku '27 [1-2]
Justin Mcdaniel '27 [3-4]
Madelyn Zimmerman '28 [5]
Black Knights Gabriel Kunze '25 [1-5] Heera Kalidindi '28 [1-2]
Jaxxon Otteson '28 [3-4]
Madelyn Zimmerman '28 [5]
Webb Institute Webb Institute Ty Mazzga '28 [1-2]
Jack Prior '27 [3-5]
Joseph Giresi '28 [1-4]
Aiden Bowman '28 [5]
Clippers Laura Peck '28 [1-2]
Giovanni Perrotti '27 [3-5]
Collin Fahey '28 [1-4]
Chris Robbins '28 [5]

Conditions — 09/14/2024 (8am–6pm)

☀️Clear sky
Humidity 63%  ·  Pressure 1024.2 hPa

Temperature

76°F
↑ 80°F   ↓ 65°F
Feels like 78°F

Wind

● from   ▲ toward
5.5 kn
avg  ·  max 8.4 kn
Gusts to 20.4 kn
From NE (55°)

Sky & Precipitation

Cloud cover8% Sunshine11.0 hrs Humidity63% Pressure1024.2 hPa

Orderliness — underdogs or favourites?

Breeze: NE 9 kn · NE 11 kn (weather reanalysis in the scorer’s units)
In this breeze at Webb Institute: a typical day (−0.01)
Nothing in the breeze favours either side; expect results to follow the ratings about as usual.
Fleet adjustment +0.13 (a softer or greener fleet makes the ratings stick) · combined forecast +0.12
Actual: about typical, within noise (+0.39 ± 0.29)

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 ±0.01 means a rating gap counts about 1% less 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 Webb Institute by wind direction (angle) and speed (rings), fitted surface; dots are labelled regatta-days, ★ this regatta (only 2 labelled days at Webb Institute, 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 →