SUNY Maritime College SUNY Maritime College

Fall 2026 Upcoming

Regatta Type Date
War Memorial Fleet Race 10/31/2026

Fall 2026 Results

Regatta Type Finish
KP Dinghy Open Fleet Race 2 / 7
Luce Trophy Fleet Race 1 / 17
Stony Brook Fall Open Fleet Race 1 / 9
David Lee Arnoff Fleet Race 4 / 8
Nevins Trophy Fleet Race 17 / 18
McMillan Cup Keelboat 8 / 9
Princeton Fall Open Fleet Race 1 / 7
Hewitt Trophy Fleet Race 10 / 16
Tiger Women's Open Fleet Race 1 / 5
Moody Trophy Fleet Race 10 / 13
Jesuit Open Fleet Race 11 / 15
NY Maritime Fall Open Fleet Race 3 / 6
Jack Boehringer '52 Open Invite Fleet Race 4 / 6
Susan Rogers Fleet Race 5 / 6
COHO Memorial Fleet Race 2 / 8
Northeast Qualifier 1 Fleet Race 1 / 7
ILCA North Singlehanded 7 / 8
KP Women's Invite Fleet Race 6 / 8
KP Dinghy Open Invite Fleet Race 5 / 8

Skipper Rankings – Fall 2026

#SkipperRating League
percentile
Team
percentile
Races
1Adam Starck2.7682.4495.8342
2Nathaniel Hartwell2.1772.0087.5030
3Luke Barker1.6261.7079.1728
4Grace Wilson1.5459.7470.8313
5Jeremy Lunati1.4357.3862.5059
6Victor Schlecker1.2954.4854.1712
7Nikita Troast1.2754.0845.8323
8Nicole Ostapowicz1.2453.4637.5016
9Brian Lynch0.9847.8829.1715
10Desmond White0.3336.4120.8313
11Joseph Herrick0.2634.6812.5022
12Marcus Kozlowski-0.2925.184.177

Skippers with at least 4 rated boat-races this season, ranked by their rating after their last race of the season. Percentiles count ties as half.

Skipper ratings over their careers
Week at SUNY Maritime CollegeWeek before / elsewhereLine colour = skipper (’yy = graduating class)

Weekly rating of every skipper on the roster across their whole career so far, one point per week their rating moved. By class year lines every graduating class up at the start of its freshman year, so each class sits one year further left than the one after it. Hover a line to isolate it.

Crew Rankings – Fall 2026

#Crew Rating Range League
percentile
Team
percentile
Races
1Nicholas Cunha2.70Rating 2.70; 90% range 0.6 to 4.8; team skipper average 1.2079.2795.0028
2Amelia Tebbens2.20Rating 2.20; 90% range -0.6 to 5.0; team skipper average 1.2069.4185.0045
3Brian Lynch1.48Rating 1.48; 90% range -1.8 to 4.7; team skipper average 1.2053.1875.0028
4Madeline Ammatuna1.21Rating 1.21; 90% range -2.1 to 4.5; team skipper average 1.2046.7165.0021
5Juliana Sarich0.85Rating 0.85; 90% range -1.9 to 3.6; team skipper average 1.2038.9755.0028
6Riley Gross*0.81Rating 0.81; 90% range -2.5 to 4.1; team skipper average 1.2037.9145.0016
7Jack Allen*0.80Rating 0.80; 90% range -2.5 to 4.1; team skipper average 1.2037.3835.0013
8Colin Jee0.68Rating 0.68; 90% range -2.6 to 3.9; team skipper average 1.2034.2025.0013
9Rj Calanese0.65Rating 0.65; 90% range -2.3 to 3.6; team skipper average 1.2033.2415.0032
10Michael Saharov0.57Rating 0.57; 90% range -2.2 to 3.4; team skipper average 1.2031.655.0032

Also on the roster, with little racing*

Crew*RatingRange Races this seasonCareer races
Bogdan Bogurskiy*–not enough data to rate55
Sara Altman*–not enough data to rate77
Andrew Mccarthy*-0.55Rating -0.55; 90% range -3.7 to 2.6; team skipper average 1.201135
Grace Wilson*-1.13Rating -1.13; 90% range -3.9 to 1.7; team skipper average 1.204148
Brenden Campise*–not enough data to rate22

What is pushing these ratings up or down

Crews are only compared through the skippers they have shared. A skipper's boats do a little better or worse than their rating predicts depending on who is crewing, and the rating is built from those differences. Each big blue dot is a crew on this roster, each small square a skipper they have sailed with, and each line a pairing: blue pushes the crew up, orange pushes them down, thicker means more racing behind it. Click a crew or a skipper.

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Ranked crews have at least 8 races this season; * means low evidence (under 8 races this season, or under 30 career races with rated skippers). Ratings are on the skipper scale (×18.7 the crew effect). League percentile also reflects how strong the team's skippers are.

From the notes

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

All notes →