| # | School | Team | A | B | TOT | |
|---|---|---|---|---|---|---|
| 1 |  |
SUNY Stony Brook | Seawolves | 7 | 9 | 16 |
| 2 |  |
Stevens Institute of Technology | Ducks | 18 | 9 | 27 |
| 3 |  |
University of Maryland/Baltimore County | Retrievers | 24 | 19 | 43 |
| 4 |  |
Syracuse University | Orange | 20 | 27 | 47 |
| 5 |  |
University of Rochester | Yellowjackets | 24 | 26 | 50 |
| 6 |  |
U. S. Military Academy | Black Knights | 34 | 37 | 71 |
| School | Team | R1 | R2 | R3 | R4 | R5 | R6 | TOT | Sailors | |
|---|---|---|---|---|---|---|---|---|---|---|
|
SUNY Stony Brook | Seawolves | 1 | 1 | 1 | 1 | 2 | 1 | 7 | Vidar Minkovsky '18 Micayla Beyer '19 |
|
Stevens Institute of Technology | Ducks | 3 | 3 | 3 | 2 | 3 | 4 | 18 | Julian Fraize '18 [1-6] Meredith Foor '18 [1-2] Matthew Gomez '18 [3-6] |
|
Syracuse University | Orange | 2 | 2 | 2 | 3 | 4 | RAF | 20 | Henry Sanders '18 Kelly Brust '16 |
|
University of Rochester | Yellowjackets | 4 | 4 | 4 | 4 | 5 | 3 | 24 | Tyler Rochon '18 [1-6] Chris Koo '19 [1, 5-6] Kelly Chang '17 [2-4] |
|
University of Maryland/Baltimore County | Retrievers | 5 | 5 | 5 | 6 | 1 | 2 | 24 | Danyte Reisinger '19 [1-4] Samuel Haksteen '17 [5-6] Samuel Haksteen '17 [1-4] Danyte Reisinger '19 [5-6] |
|
U. S. Military Academy | Black Knights | 6 | 6 | 6 | 5 | 6 | 5 | 34 | Charles Christianson '17 Alex Ramos '19 |
| School | Team | R1 | R2 | R3 | R4 | R5 | R6 | TOT | Sailors | |
|---|---|---|---|---|---|---|---|---|---|---|
|
Stevens Institute of Technology | Ducks | 1 | 2 | 1 | 2 | 1 | 2 | 9 | Nicolas Carabelli '17 Jesse Stevenson '19 |
|
SUNY Stony Brook | Seawolves | 2 | 1 | 2 | 1 | 2 | 1 | 9 | Brendan Brown-Mccue '16 No Show |
|
University of Maryland/Baltimore County | Retrievers | 3 | 3 | 4 | 3 | 3 | 3 | 19 | Nathan Thompson '17 Madeline Orr '19 |
|
University of Rochester | Yellowjackets | 5 | 5 | 3 | 4 | 5 | 4 | 26 | Peter Fiala '16 Hannah Gallagher '18 |
|
Syracuse University | Orange | 4 | 4 | 5 | 5 | 4 | 5 | 27 | Alberto Rivera '16 Hannah Hauser '16 |
|
U. S. Military Academy | Black Knights | DNF | 6 | 6 | 6 | 6 | 6 | 37 | Nick Grant '18 Xavier Vecchio '19 |
| Team | 1A | 2A | 3A | 4A | 5A | 6A | |
|---|---|---|---|---|---|---|---|
| U. S. Military Academy Black Knights | 4 | 4 | 6 | 6 | 2 | 2 |
| University of Maryland/Baltimore County Retrievers | 5 | 5 | 1 | 1 | 3 | 3 |
| University of Rochester Yellowjackets | 6 | 6 | 2 | 2 | 4 | 4 |
| Stevens Institute of Technology Ducks | 2 | 2 | 4 | 4 | 6 | 6 |
| SUNY Stony Brook Seawolves | 1 | 1 | 3 | 3 | 5 | 5 |
| Syracuse University Orange | 3 | 3 | 5 | 5 | 1 | 1 |
| Team | 1B | 2B | 3B | 4B | 5B | 6B | |
|---|---|---|---|---|---|---|---|
| U. S. Military Academy Black Knights | 5 | 5 | 1 | 1 | 3 | 3 |
| University of Maryland/Baltimore County Retrievers | 6 | 6 | 2 | 2 | 4 | 4 |
| University of Rochester Yellowjackets | 1 | 1 | 3 | 3 | 5 | 5 |
| Stevens Institute of Technology Ducks | 3 | 3 | 5 | 5 | 1 | 1 |
| SUNY Stony Brook Seawolves | 2 | 2 | 4 | 4 | 6 | 6 |
| Syracuse University Orange | 4 | 4 | 6 | 6 | 2 | 2 |
| School / Team | Skipper | Crew | |
|---|---|---|---|
|
SUNY Stony Brook | Vidar Minkovsky '18 | Micayla Beyer '19 |
| Seawolves | Brendan Brown-Mccue '16 | No Show | |
|
Stevens Institute of Technology | Julian Fraize '18 [1-6] | Meredith Foor '18 [1-2] Matthew Gomez '18 [3-6] |
| Ducks | Nicolas Carabelli '17 | Jesse Stevenson '19 | |
|
Syracuse University | Henry Sanders '18 | Kelly Brust '16 |
| Orange | Alberto Rivera '16 | Hannah Hauser '16 | |
|
U. S. Military Academy | Charles Christianson '17 | Alex Ramos '19 |
| Black Knights | Nick Grant '18 | Xavier Vecchio '19 | |
|
University of Maryland/Baltimore County | Danyte Reisinger '19 [1-4] Samuel Haksteen '17 [5-6] |
Samuel Haksteen '17 [1-4] Danyte Reisinger '19 [5-6] |
| Retrievers | Nathan Thompson '17 | Madeline Orr '19 | |
|
University of Rochester | Tyler Rochon '18 [1-6] | Chris Koo '19 [1, 5-6] Kelly Chang '17 [2-4] |
| Yellowjackets | Peter Fiala '16 | Hannah Gallagher '18 |
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 ±0.14 means a rating gap counts about 12% 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.
Short write-ups of what the ratings and results show, with the numbers and how they were computed.
