| # | School | Team | A | B | TOT | |
|---|---|---|---|---|---|---|
| 1 |  |
Webb Institute | Clippers | 53 | 21 | 74 |
| 2 |  |
Queen's University | Gaels | 40 | 47 | 87 |
| 3 |  |
Ocean County College | Vikings | 42 | 47 | 89 |
| 4 |  |
Rochester Institute of Technology | Rochester | 59 | 50 | 109 |
| 5 |  |
Stevens Institute of Technology | Ducks | 69 | 78 | 147 |
| 6 |  |
Rutgers University | Rutgers | 74 | 84 | 158 |
| 7 |  |
Drexel University | Dragons | 85 | 83 | 168 |
| 8 |  |
University of Delaware | Blue Hens | 82 | 96 | 178 |
| School | Team | R1 | R2 | R3 | R4 | R5 | R6 | R7 | R8 | R9 | R10 | R11 | R12 | R13 | R14 | TOT | Sailors | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
Queen's University | Gaels | 1 | 6 | 2 | 3 | 1 | 2 | 1 | 1 | 3 | 3 | 1 | 8 | 2 | 6 | 40 | Matthew Sullivan '13 Andrew Faurschou '17 |
|
Ocean County College | Vikings | 3 | 1 | 1 | 1 | 2 | 3 | 4 | 2 | 5 | 1 | 5 | 6 | 3 | 5 | 42 | Zachary Schippe '14 [1-2, 11-14] Nicholas Rinaldi '14 [3-10] Hannah Saunders '15 [1-2, 11-14] Megan Clark '14 [3-10] |
|
Webb Institute | Clippers | 2 | 2 | 3 | 4 | 4 | 4 | 8 | 3 | 6 | 8 | 3 | 2 | 1 | 3 | 53 | Douglas Zangre '13 [1-2] James Codega '14 [3-10] Cody Stansky '16 [11-14] Michael Larose '13 [1-2] Kurt Gavel '16 [3-14] |
|
Rochester Institute of Technology | Rochester | 4 | 3 | 7 | 2 | 3 | 7 | 2 | 6 | 7 | 6 | 2 | 1 | 5 | 4 | 59 | Ian Hunt '13 Nathan Fulcher '13 |
|
Stevens Institute of Technology | Ducks | 6 | 8 | 6 | 6 | 5 | 1 | 6 | 5 | 1 | 7 | 7 | 3 | 6 | 2 | 69 | Matthew Guenther '14 Lara Paul '15 |
|
Rutgers University | Rutgers | 8 | 5 | 5 | 8 | 8 | 5 | 7 | 7 | 4 | 2 | 6 | 4 | 4 | 1 | 74 | Courtney Williams '14 Jonathan Sparrow-Hood '14 |
|
University of Delaware | Blue Hens | 7 | 7 | 8 | 5 | 6 | 6 | 3 | 8 | 2 | 4 | 4 | 7 | 7 | 8 | 82 | Bryan Whittington '13 Alison Sobeck '13 |
|
Drexel University | Dragons | 5 | 4 | 4 | 7 | 7 | 8 | 5 | 4 | 8 | 5 | 8 | 5 | 8 | 7 | 85 | Chris Myers '15 Tyler Kaplan '21 |
| School | Team | R1 | R2 | R3 | R4 | R5 | R6 | R7 | R8 | R9 | R10 | R11 | R12 | R13 | R14 | TOT | Sailors | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
Webb Institute | Clippers | 2 | 1 | 1 | 1 | 3 | 1 | 1 | 3 | 1 | 1 | 2 | 1 | 1 | 2 | 21 | Nathan Fast '14 [1-8] Casey Brown '16 [9-14] Erin Hub '16 [1-8] |
|
Ocean County College | Vikings | 1 | 2 | 2 | 3 | 1 | 6 | 2 | 2 | 2 | 4 | 7 | 2 | 4 | DNF | 47 | Ted Wingender '14 Christina Coppola '14 |
|
Queen's University | Gaels | 4 | 6 | 5 | 2 | 4 | 2 | 6 | 1 | 3 | 2 | 3 | 4 | 2 | 3 | 47 | Nick Schwenger '16 William Schwenger '13 |
|
Rochester Institute of Technology | Rochester | 3 | 4 | 3 | 5 | 2 | 4 | 3 | 4 | 6 | 3 | 6 | 3 | 3 | 1 | 50 | Daniel Christiani '15 Ben Pacnas '16 |
|
Stevens Institute of Technology | Ducks | 6 | 3 | 7 | 7 | 6 | 3 | 4 | 5 | 7 | 7 | 1 | 7 | DNF | 6 | 78 | Andrew Daponte '14 Samantha Adornati '15 |
|
Drexel University | Dragons | 8 | 8 | 4 | 4 | 7 | 5 | 5 | 6 | 8 | 6 | 8 | 5 | 5 | 4 | 83 | Stephen Ciccariello '13 [1-8] Tracy Venella '16 [9-14] Tracy Venella '16 [1-8] Joseph Carfagno '17 [9-14] |
|
Rutgers University | Rutgers | 7 | 7 | 6 | 6 | 5 | 7 | 7 | 8 | 4 | 5 | 4 | 6 | 7 | 5 | 84 | Connor Van Demark '16 Artem Titoulenko '13 |
|
University of Delaware | Blue Hens | 5 | 5 | 8 | 8 | 8 | 8 | 8 | 7 | 5 | 8 | 5 | 8 | 6 | 7 | 96 | Caitlin Mcewen '14 [1-8] Ben Fairer '14 [9-14] Chelsea Wright '15 [1-8] Chelsea Regan '15 [9-14] |
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 ±0.03 means a rating gap counts about 3% 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.
Short write-ups of what the ratings and results show, with the numbers and how they were computed.
