| # | School | Team | A | B | TOT | |
|---|---|---|---|---|---|---|
| 1 | Stanford University | Cardinal | 23 | 15 | 38 | |
| 2 | Vikings 1 | Vikings 1 | 16 | 45 | 61 | |
| 3 | University of California at Berkeley | Golden Bears 1 | 41 | 29 | 70 | |
| 4 | Stanford University | Red | 53 | 17 | 70 | |
| 5 | Gauchos 1 | Gauchos 1 | 41 | 32 | 73 | |
| 6 | Vikings 2 | Vikings 2 | 33 | 54 | 87 | |
| 7 | California State University Long Beach | 49ers | 30 | 66 | 96 | |
| 8 | University of California at Berkeley | Golden Bears 3 | 61 | 53 | 114 | |
| 9 | Gauchos 2 | Gauchos 2 | 42 | 74 | 116 | |
| 10 | California Maritime Academy | Keelhaulers | 48 | 69 | 117 | |
| 11 | University of Oregon | Ducks | 87 | 47 | 134 | |
| 12 | Tritons 1 | Tritons 1 | 75 | 63 | 138 | |
| 13 | University of Southern California | Trojans | 53 | 103 | 156 | |
| 14 | University of California at Los Angeles | Bruins 1 | 74 | 92 | 166 | |
| 15 | California State University Monterey Bay | Otters | 103 | 73 | 176 | |
| 16 | University of California at Los Angeles | Bruins 2 | 80 | 96 | 176 | |
| 17 | University of California at Berkeley | Golden Bears 2 | 81 | 97 | 178 | |
| 18 | University of California at Davis | Aggies | 111 | 75 | 186 | |
| 19 | Tritons 2 | Tritons 2 | 108 | 88 | 196 | |
| 20 | University of California at Irvine | Anteaters | 107 | 97 | 204 |
| School | Team | R1 | R2 | R3 | R4 | R5 | R6 | TOT | Sailors | |
|---|---|---|---|---|---|---|---|---|---|---|
| Stanford University | Cardinal | 1 | 2 | 2 | 3 | 3 | 4 | 15 | Axel Sly '16 Max Kohrman '15 |
|
| Stanford University | Red | 6 | 1 | 1 | 2 | 2 | 5 | 17 | Michael Dahl '15 Samantha Steele '16 |
|
| University of California at Berkeley | Golden Bears 1 | 2 | 3 | 6 | 5 | 5 | 8 | 29 | Martin Gibson '13 Nina Alpert '15 |
|
| Gauchos 1 | Gauchos 1 | 15 | 4 | 10 | 1 | 1 | 1 | 32 | ||
| Vikings 1 | Vikings 1 | 7 | 5 | 7 | 10 | 9 | 7 | 45 | ||
| University of Oregon | Ducks | 4 | 15 | 18 | 4 | 4 | 2 | 47 | Charles Shoemaker '16 Kathleen Brennan '15 |
|
| University of California at Berkeley | Golden Bears 3 | 14 | 13 | 4 | 9 | 7 | 6 | 53 | Dylan Skeffington '14 Michelle Hanson '13 |
|
| Vikings 2 | Vikings 2 | 11 | 7 | 9 | 8 | 6 | 13 | 54 | ||
| Tritons 1 | Tritons 1 | 9 | 6 | 5 | 11 | 14 | 18 | 63 | ||
| California State University Long Beach | 49ers | 10 | 10 | 8 | 12 | 17 | 9 | 66 | Eric Hanna '15 Dana Hill '16 |
|
| California Maritime Academy | Keelhaulers | 12 | 12 | 13 | 7 | 8 | 17 | 69 | William Antrobus '15 Tracey Gilmore '15 |
|
| California State University Monterey Bay | Otters | 8 | 9 | 15 | 14 | 11 | 16 | 73 | ||
| Gauchos 2 | Gauchos 2 | DNS | 11 | 3 | 6 | 18 | 15 | 74 | ||
| University of California at Davis | Aggies | 16 | 17 | 11 | 13 | 15 | 3 | 75 | Estella Wong '15 [1-6] Jakob Gassner '13 [1-2] Alexandra Bischak '15 [3-6] |
|
| Tritons 2 | Tritons 2 | 13 | 14 | 16 | 18 | 13 | 14 | 88 | ||
| University of California at Los Angeles | Bruins 1 | DNF | 18 | 14 | 15 | 12 | 12 | 92 | Elisabeth Heinrich-Josties '14 | |
| University of California at Los Angeles | Bruins 2 | DNS | DNS | 17 | 17 | 10 | 10 | 96 | ||
| University of California at Irvine | Anteaters | 5 | 8 | DNS | DNS | DNS | DNS | 97 | Samuel Heller '15 Kathryn Benight '15 |
|
| University of California at Berkeley | Golden Bears 2 | DNS | DNS | 12 | 16 | 16 | 11 | 97 | Janice Wondolleck '15 Alexandra Baker-Brown '14 |
|
| University of Southern California | Trojans | 3 | 16 | DNS | DNS | DNS | DNS | 103 |
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 ±0.02 means a rating gap counts about 2% 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.