| # | School | Sailor | TOT | |
|---|---|---|---|---|
| 1 | Yale University | Malcolm Lamphere '18 | 44 | |
| 2 | Harvard University | Juan Perdomo '17 | 47 | |
| 3 | College of Charleston | Stefano Peschiera '18 | 52 | |
| 4 | College of Charleston | Enrique Arathoon '16 | 52 | |
| 5 | Yale University | Joseph Kiss '17 | 64 | |
| 6 | Stanford University | Luke Muller '18 | 66 | |
| 7 | Yale University | Nicholas Baird '19 | 74 | |
| 8 | Georgetown University | Nevin Snow '16 | 78 | |
| 9 | George Washington University | Brendan Shanahan '17 | 99 | |
| 10 | College of Charleston | Reed Baldridge '16 | 115 | |
| 11 | U. S. Naval Academy | Gary Prieto '18 | 116 | |
| 12 | University of California at Berkeley | Richard Didham '18 | 129 | |
| 13 | St. Mary's College of Maryland | Markus Edegran '16 | 129 | |
| 14 | Texas A&M University at Galveston | John Hanna '19 | 138 | |
| 15 | Oregon State University | Michael Levy '19 | 153 | |
| 16 | Washington University | James Harvey '17 | 161 | |
| 17 | Michigan State University | Matthew Declercq '17 | 173 | |
| 18 | University of Wisconsin | Nathan Jamieson '17 | 187 |
| School | Sailor | R1 | R2 | R3 | R4 | R5 | R6 | R7 | R8 | R9 | R10 | R11 | TOT | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Yale University | Malcolm Lamphere '18 | 8 | 2 | 1 | 2 | 3 | 2 | 9 | 1 | 11 | 2 | 3 | 44 | |
| Harvard University | Juan Perdomo '17 | 13 | 1 | 9 | 5 | 1 | 4 | 3 | 4 | 5 | 1 | 1 | 47 | |
| College of Charleston | Stefano Peschiera '18 | 4 | 3 | 5 | 4 | 7 | 1 | 6 | 3 | 3 | 5 | 11 | 52 | |
| College of Charleston | Enrique Arathoon '16 | 5 | 9 | 10 | 1 | 4 | 3 | BKD | 2 | 2 | 3 | 8 | 52 | |
| Yale University | Joseph Kiss '17 | 3 | 7 | 7 | 7 | 6 | 7 | 2 | 13 | 1 | 4 | 7 | 64 | |
| Stanford University | Luke Muller '18 | 9 | 13 | 8 | 3 | 2 | 6 | 1 | 7 | 6 | 7 | 4 | 66 | |
| Yale University | Nicholas Baird '19 | 1 | 4 | 2 | 8 | 5 | 8 | 4 | 15 | 12 | 6 | 9 | 74 | |
| Georgetown University | Nevin Snow '16 | 6 | 6 | 3 | 6 | 14 | 11 | 10 | 6 | 4 | 10 | 2 | 78 | |
| George Washington University | Brendan Shanahan '17 | 12 | 11 | 12 | 10 | 8 | 5 | 5 | 5 | 10 | 8 | 13 | 99 | |
| College of Charleston | Reed Baldridge '16 | 2 | 5 | 16 | 17 | 10 | 10 | 16 | 12 | 8 | 13 | 6 | 115 | |
| U. S. Naval Academy | Gary Prieto '18 | 16 | 8 | 15 | 9 | 9 | 9 | 11 | 8 | 7 | 14 | 10 | 116 | |
| University of California at Berkeley | Richard Didham '18 | 7 | 16 | 6 | 11 | 13 | 17 | 7 | 9 | 15 | 11 | 17 | 129 | |
| St. Mary's College of Maryland | Markus Edegran '16 | 14 | 10 | 14 | 12 | 12 | 13 | 8 | 10 | 13 | 9 | 14 | 129 | |
| Texas A&M University at Galveston | John Hanna '19 | 11 | 12 | 11 | 16 | 17 | 16 | 13 | 16 | 9 | 12 | 5 | 138 | |
| Oregon State University | Michael Levy '19 | 15 | 15 | 4 | 14 | 11 | 12 | 15 | 14 | 18 | 16 | DNS | 153 | |
| Washington University | James Harvey '17 | 10 | 14 | 13 | DNF | DNF | 14 | 17 | 11 | 14 | 15 | 15 | 161 | |
| Michigan State University | Matthew Declercq '17 | 17 | 18 | 18 | 13 | 15 | 15 | 14 | 17 | 17 | 17 | 12 | 173 | |
| University of Wisconsin | Nathan Jamieson '17 | 18 | 17 | 17 | 15 | 16 | 18 | 18 | 18 | 16 | 18 | 16 | 187 |
Performance rating asks, for each skipper: holding every other boat fixed, which rating makes my actual race-by-race finishes least surprising? Boats are valued with the singlehanded rating rather than the fleet rating: 0.79 × the skipper's fleet rating from the week before the event (unrated skippers start at 1.11); the skipper's own singlehanded offset. Strength differences are scaled by 0.80 before they become probabilities, the value that calibrates the model on seasons it had not seen. Non-finishes (OCS, DNF and similar) are left out of the fitting, as in the rating model.
Percentile places a rating among the 309 ICSA sailors with a singlehanded rating who raced the discipline in the last three seasons. Surprise is how many bits more surprising the finishes were at the pre-event rating than at the performance rating. P(this good or better) simulates the event 3,000 times at the pre-event ratings, with the same regatta-form model as the fleet analysis pages, and reports how often the skipper would score this many points or fewer in the races they sailed.
The singlehanded offsets are the current ones (the discipline files keep no weekly history), so a skipper's own offset has already seen this event; offsets are shrunk hard, so the effect is a few hundredths at most. Only skippers are rated.
| Fin | Skipper | School | Races | Rating before |
Perf. rating |
Δ | Percentile before → perf. |
Surprise (bits) |
P(this good or better) |
Avg finish actual / exp. |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Malcolm Lamphere '18 | Yale University Bulldogs 1 | 11/11 | 3.06 | 4.62 | +1.56 | 83rd → 99th | 7.2 | 1% | 4.0 / 8.7 |
| 2 | Juan Perdomo '17 | Harvard University | 11/11 | 3.26 | 4.48 | +1.22 | 86th → 99th | 4.6 | 6% | 4.3 / 8.0 |
| 3 | Stefano Peschiera '18 | College of Charleston Cougars 1 | 11/11 | 3.74 | 4.39 | +0.66 | 93rd → 98th | 1.5 | 14% | 4.7 / 6.9 |
| 4 | Joseph Kiss '17 | Yale University Bulldogs 3 | 11/11 | 3.36 | 4.02 | +0.66 | 89th → 95th | 1.6 | 23% | 5.8 / 7.9 |
| 5 | Enrique Arathoon '16 | College of Charleston Cougars 2 | 11/11 | 3.46 | 4.42 | +0.96 | 89th → 98th | 2.8 | 28% | 6.0 / 7.6 |
| 5 | Luke Muller '18 | Stanford University | 11/11 | 2.65 | 3.91 | +1.27 | 70th → 95th | 5.2 | 4% | 6.0 / 9.8 |
| 7 | Nicholas Baird '19 | Yale University Bulldogs 2 | 11/11 | 3.36 | 3.54 | +0.18 | 89th → 92nd | 0.1 | 31% | 6.7 / 7.9 |
| 8 | Nevin Snow '16 | Georgetown University | 11/11 | 3.74 | 3.42 | −0.32 | 93rd → 89th | 0.5 | 59% | 7.1 / 6.8 |
| 9 | Brendan Shanahan '17 | George Washington University | 11/11 | 3.08 | 3.10 | +0.02 | 83rd → 84th | 0.0 | 60% | 9.0 / 8.6 |
| 10 | Reed Baldridge '16 | College of Charleston Cougars 3 | 11/11 | 3.52 | 2.21 | −1.31 | 91st → 58th | 8.4 | 87% | 10.5 / 7.5 |
| 11 | Gary Prieto '18 | U. S. Naval Academy | 11/11 | 2.83 | 2.65 | −0.17 | 77th → 70th | 0.1 | 72% | 10.5 / 9.3 |
| 12 | Markus Edegran '16 | St. Mary's College of Maryland | 11/11 | 2.79 | 2.46 | −0.34 | 76th → 62nd | 0.5 | 88% | 11.7 / 9.2 |
| 12 | Richard Didham '18 | University of California at Berkeley | 11/11 | 1.31u | 1.92 | +0.62 | 30th → 48th | 1.2 | 29% | 11.7 / 12.9 |
| 14 | John Hanna '19 | Texas A&M University at Galveston | 11/11 | 2.80 | 1.86 | −0.93 | 76th → 47th | 4.0 | 93% | 12.5 / 9.4 |
| 15 | Michael Levy '19 | Oregon State University | 11/11 | 1.49 | 1.68 | +0.19 | 37th → 41st | 0.1 | 70% | 13.9 / 12.7 |
| 16 | James Harvey '17 | Washington University | 11/11 | 2.05 | 1.88 | −0.17 | 53rd → 47th | 0.1 | 91% | 14.6 / 11.2 |
| 17 | Matthew Declercq '17 | Michigan State University | 11/11 | 1.04 | 0.93 | −0.11 | 24th → 21st | 0.0 | 83% | 15.7 / 13.6 |
| 18 | Nathan Jamieson '17 | University of Wisconsin | 11/11 | 1.37 | -0.03 | −1.40 | 33rd → 6th | 6.2 | 99% | 17.0 / 12.8 |
Orderliness is how tightly a fleet race’s finishing order follows the pre-regatta ratings, relative to a typical event (0): positive is the favourites’ day, negative the underdogs’. A value of ±0.01 means a rating gap counts about 1% more than on a typical day. This event is not a fleet race the rating model scores, so there is no actual value for it: this is what this venue’s fleet racing history says about the breeze on the day, read off the chart at the star. How this is estimated · compare venues.
Short write-ups of what the ratings and results show, with the numbers and how they were computed.