| # | School | Team | A | B | TOT | |
|---|---|---|---|---|---|---|
| 1 | Roger Williams University | Hawks | 14 | 11 | 25 | |
| 2 | Massachusetts Institute of Technology | Engineers | 22 | 20 | 42 | |
| 3 | Tufts University | Jumbos | 28 | 18 | 46 | |
| 4 | Tufts University | Jumbalaya | 33 | 28 | 61 | |
| 5 | Brown University | Bears | 30 | 35 | 65 | |
| 6 | Harvard University | Crimson | 37 | 40 | 77 | |
| 7 | Tufts University | Tufts University | 41 | 39 | 80 | |
| 8 | University of New Hampshire | Wildcats | 45 | 52 | 97 | |
| 9 | Massachusetts Institute of Technology | Angry Beavers | 34 | 65 | 99 | |
| 10 | Northeastern University | Huskies | 49 | 51 | 100 | |
| 11 | Boston University | Terriers! | 84 | 44 | 128 | |
| 12 | Boston University | Terriers | 67 | 68 | 135 | |
| 13 | Blue | Blue | 68 | 75 | 143 |
| School | Team | R1 | R2 | R3 | R4 | R5 | R6 | TOT | Sailors | |
|---|---|---|---|---|---|---|---|---|---|---|
| Roger Williams University | Hawks | 1 | 1 | 1 | 1 | 2 | 5 | 11 | Connor Corgard '16 Bianca Rom '13 |
|
| Tufts University | Jumbos | 2 | 3 | 4 | 2 | 1 | 6 | 18 | Colin Meade '16 Chrisanthe Salemis '16 |
|
| Massachusetts Institute of Technology | Engineers | 7 | 2 | 3 | 4 | 3 | 1 | 20 | Cali Warner '16 Grace Krusell '14 |
|
| Tufts University | Jumbalaya | 3 | 6 | 2 | 7 | 6 | 4 | 28 | Rolfe Glover '16 Danielle Feerst '16 |
|
| Brown University | Bears | 6 | 7 | 5 | 5 | 10 | 2 | 35 | Reid Secondo '16 Alexandra Swanson '16 |
|
| Tufts University | Tufts University | 5 | 5 | 6 | 6 | 5 | 12 | 39 | Sarah Stubbs '16 Madeline Luce '13 |
|
| Harvard University | Crimson | 4 | 8 | 10 | 3 | 4 | 11 | 40 | Ansel Duff '15 Catherine Philbin '14 |
|
| Boston University | Terriers! | 8 | 9 | 9 | 8 | 7 | 3 | 44 | ||
| Northeastern University | Huskies | 9 | 4 | 8 | 11 | 9 | 10 | 51 | Luke Orchardo '16 Sara Kuller '16 |
|
| University of New Hampshire | Wildcats | 10 | 10 | 7 | 10 | 8 | 7 | 52 | Andrew Angione '13 Molly Goelzer '15 |
|
| Massachusetts Institute of Technology | Angry Beavers | 11 | 11 | 13 | 9 | 13 | 8 | 65 | Sarah Mountjoy '14 | |
| Boston University | Terriers | 12 | 12 | 11 | 13 | 11 | 9 | 68 | ||
| Blue | Blue | 13 | 13 | 12 | 12 | 12 | 13 | 75 |
| Team | 1A | 2A | 3A | 4A | 5A | 6A | |
|---|---|---|---|---|---|---|---|
| Boston University Terriers | 7 | 7 | 7 | 7 | 7 | 7 | |
| Boston University Terriers! | 11 | 11 | 11 | 11 | 11 | 11 | |
| Brown University Bears | 4 | 4 | 4 | 4 | 4 | 4 | |
| Harvard University Crimson | 10 | 10 | 10 | 10 | 10 | 10 | |
| Massachusetts Institute of Technology Angry Beavers | 6 | 6 | 6 | 6 | 6 | 6 | |
| Massachusetts Institute of Technology Engineers | 13 | 13 | 13 | 13 | 13 | 13 | |
| University of New Hampshire Wildcats | 5 | 5 | 5 | 5 | 5 | 5 | |
| Northeastern University Huskies | 8 | 8 | 8 | 8 | 8 | 8 | |
| Roger Williams University Hawks | 1 | 1 | 1 | 1 | 1 | 1 | |
| Tufts University Jumbalaya | 3 | 3 | 3 | 3 | 3 | 3 | |
| Tufts University Jumbos | 12 | 12 | 12 | 12 | 12 | 12 | |
| Tufts University Tufts University | 9 | 9 | 9 | 9 | 9 | 9 | |
| Blue Blue | 2 | 2 | 2 | 2 | 2 | 2 |
| Team | 1B | 2B | 3B | 4B | 5B | 6B | |
|---|---|---|---|---|---|---|---|
| Boston University Terriers | 7 | 7 | 7 | 7 | 7 | 7 | |
| Boston University Terriers! | 11 | 11 | 11 | 11 | 11 | 11 | |
| Brown University Bears | 4 | 4 | 4 | 4 | 4 | 4 | |
| Harvard University Crimson | 10 | 10 | 10 | 10 | 10 | 10 | |
| Massachusetts Institute of Technology Angry Beavers | 6 | 6 | 6 | 6 | 6 | 6 | |
| Massachusetts Institute of Technology Engineers | 13 | 13 | 13 | 13 | 13 | 13 | |
| University of New Hampshire Wildcats | 5 | 5 | 5 | 5 | 5 | 5 | |
| Northeastern University Huskies | 8 | 8 | 8 | 8 | 8 | 8 | |
| Roger Williams University Hawks | 1 | 1 | 1 | 1 | 1 | 1 | |
| Tufts University Jumbalaya | 3 | 3 | 3 | 3 | 3 | 3 | |
| Tufts University Jumbos | 12 | 12 | 12 | 12 | 12 | 12 | |
| Tufts University Tufts University | 9 | 9 | 9 | 9 | 9 | 9 | |
| Blue Blue | 2 | 2 | 2 | 2 | 2 | 2 |
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% 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.