| # | School | Sailor | TOT | |
|---|---|---|---|---|
| 1 | Queen's University | John Machum '17 | 42 | |
| 2 | SUNY Maritime College | Nick Valente '16 | 64 | |
| 3 | U. S. Merchant Marine Academy | Austin Neuman '16 | 91 | |
| 4 | SUNY Maritime College | Zachary Hill '18 | 100 | |
| 5 | Hobart and William Smith Colleges | Connor Swikart '18 | 107 | |
| 6 | Fordham University | Will Holz '17 | 108 | |
| 7 | Queen's University | Matthew Sherar '17 | 111 | |
| 8 | University of Pennsylvania | Keen Butcher '18 | 117 | |
| 9 | Cornell University | Daniel Birmingham '17 | 122 | |
| 10 | Cornell University | Matthew Schofield '17 | 137 | |
| 11 | Hobart and William Smith Colleges | Chris Wilson '16 | 156 | |
| 12 | U. S. Merchant Marine Academy | Ryan Wood '17 | 183 | |
| 13 | Hobart and William Smith Colleges | Sam Hallowell '16 | 200 | |
| 14 | Fordham University | Anders Ekholm '17 | 210 | |
| 15 | Cornell University | Philippe Williamson '16 | 213 | |
| 16 | SUNY Stony Brook | Constantine Spentzos '17 | 214 | |
| 17 | U. S. Merchant Marine Academy | Devin Keister '18 | 218 | |
| 18 | Syracuse University | Nicholas Woviotis '15 | 222 | |
| 19 | SUNY Maritime College | James Keegan '16 | 238 | |
| 20 | SUNY Stony Brook | Cody Murphy '17 | 284 |
| School | Sailor | R1 | R2 | R3 | R4 | R5 | R6 | R7 | R8 | R9 | R10 | R11 | R12 | R13 | R14 | R15 | TOT | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Queen's University | John Machum '17 | 1 | BKD | 1 | 1 | 3 | 2 | 1 | 1 | 7 | 1 | 8 | 1 | 2 | 6 | 4 | 42 | |
| SUNY Maritime College | Nick Valente '16 | 5 | 10 | 3 | 2 | 1 | 13 | 2 | 3 | 1 | 2 | 5 | 4 | 4 | 2 | 7 | 64 | |
| U. S. Merchant Marine Academy | Austin Neuman '16 | 2 | 4 | 2 | 10 | 10 | 7 | 5 | 10 | 5 | 4 | 4 | 12 | 13 | 1 | 2 | 91 | |
| SUNY Maritime College | Zachary Hill '18 | 16 | 2 | 7 | 4 | 7 | 6 | 8 | 9 | 6 | 18 | 1 | 3 | 3 | 7 | 3 | 100 | |
| Hobart and William Smith Colleges | Connor Swikart '18 | 4 | 1 | 15 | 3 | 19 | 9 | 4 | 7 | 3 | 3 | 9 | 7 | 6 | 3 | 14 | 107 | |
| Fordham University | Will Holz '17 | 8 | 11 | 6 | 5 | 5 | 8 | 7 | 12 | OCS | 7 | 3 | 5 | 5 | 4 | 1 | 108 | |
| Queen's University | Matthew Sherar '17 | 12 | 12 | 5 | 6 | 2 | 3 | 6 | 2 | OCS | 6 | 7 | 14 | 1 | 8 | 6 | 111 | |
| University of Pennsylvania | Keen Butcher '18 | 6 | 8 | 8 | 9 | 8 | 4 | 3 | 6 | OCS | 11 | 6 | 10 | 7 | 5 | 5 | 117 | |
| Cornell University | Daniel Birmingham '17 | 3 | 9 | 4 | 15 | 4 | 5 | 16 | 5 | 2 | 5 | 16 | 6 | 10 | 13 | 9 | 122 | |
| Cornell University | Matthew Schofield '17 | 9 | 14 | 16 | 14 | 6 | 1 | 9 | 4 | OCS | 10 | 2 | 2 | 8 | 9 | 12 | 137 | |
| Hobart and William Smith Colleges | Chris Wilson '16 | 10 | 18 | 9 | 7 | 9 | 11 | 13 | 8 | 4 | 9 | 12 | 11 | 9 | 18 | 8 | 156 | |
| U. S. Merchant Marine Academy | Ryan Wood '17 | 11 | 6 | 13 | 16 | 12 | 15 | 11 | 13 | 15 | 14 | 13 | 8 | 16 | 10 | 10 | 183 | |
| Hobart and William Smith Colleges | Sam Hallowell '16 | 7 | 16 | 11 | 8 | 16 | 12 | 10 | 11 | 10 | 15 | 15 | 19 | 15 | 17 | 18 | 200 | |
| Fordham University | Anders Ekholm '17 | 17 | 15 | 19 | 12 | 11 | 14 | 12 | 14 | 12 | 8 | 18 | 17 | 14 | 12 | 15 | 210 | |
| Cornell University | Philippe Williamson '16 | 19 | 3 | 10 | 11 | 15 | 16 | BKD | 19 | 13 | 12 | 19 | 15 | 12 | 16 | 19 | 213 | |
| SUNY Stony Brook | Constantine Spentzos '17 | 14 | 13 | 18 | 20 | 18 | 19 | 14 | 20 | 9 | 13 | 14 | 9 | 11 | 11 | 11 | 214 | |
| U. S. Merchant Marine Academy | Devin Keister '18 | 13 | 5 | 17 | 18 | 14 | 17 | 17 | 17 | 11 | 16 | 11 | 13 | 18 | 14 | 17 | 218 | |
| Syracuse University | Nicholas Woviotis '15 | 15 | 17 | 14 | 13 | 13 | 18 | 19 | 15 | 8 | 17 | 10 | 18 | 17 | 15 | 13 | 222 | |
| SUNY Maritime College | James Keegan '16 | 18 | 7 | 12 | 17 | 17 | 10 | 15 | 18 | 14 | 20 | 20 | 16 | 19 | 19 | 16 | 238 | |
| SUNY Stony Brook | Cody Murphy '17 | 20 | 19 | 20 | 19 | 20 | 20 | 18 | 16 | 16 | 19 | 17 | 20 | 20 | 20 | 20 | 284 |
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 | John Machum '17 | Queen's University Gaels 1 | 15/15 | 1.45 | 4.23 | +2.77 | 36th → 98th | 22.7 | 1% | 4.0 / 10.3 |
| 2 | Nick Valente '16 | SUNY Maritime College Privateers 1 | 15/15 | 2.72 | 3.34 | +0.62 | 72nd → 89th | 1.8 | 9% | 4.3 / 6.8 |
| 3 | Austin Neuman '16 | U. S. Merchant Marine Academy Mariners 1 | 15/15 | 1.84 | 2.68 | +0.84 | 46th → 71st | 3.4 | 8% | 6.1 / 9.2 |
| 4 | Zachary Hill '18 | SUNY Maritime College Privateers 3 | 15/15 | 2.65 | 2.19 | −0.46 | 70th → 58th | 1.2 | 47% | 6.7 / 7.0 |
| 5 | Connor Swikart '18 | Hobart and William Smith Colleges Statesmen 3 | 15/15 | 1.85 | 2.07 | +0.22 | 46th → 53rd | 0.2 | 18% | 7.1 / 9.2 |
| 6 | Will Holz '17 | Fordham University Rams 2 | 15/15 | 2.31 | 2.79 | +0.48 | 60th → 75th | 1.1 | 40% | 7.2 / 7.9 |
| 7 | Matthew Sherar '17 | Queen's University Gaels 2 | 15/15 | 1.07 | 2.67 | +1.60 | 25th → 71st | 10.2 | 7% | 7.4 / 11.5 |
| 8 | Keen Butcher '18 | University of Pennsylvania | 15/15 | 2.34 | 2.63 | +0.29 | 60th → 69th | 0.4 | 55% | 7.8 / 7.7 |
| 9 | Daniel Birmingham '17 | Cornell University Big Red 2 | 15/15 | 1.73 | 1.93 | +0.20 | 43rd → 49th | 0.2 | 28% | 8.1 / 9.5 |
| 10 | Matthew Schofield '17 | Cornell University Big Red 1 | 15/15 | 2.23 | 2.01 | −0.23 | 58th → 52nd | 0.3 | 67% | 9.1 / 8.1 |
| 11 | Chris Wilson '16 | Hobart and William Smith Colleges Statesmen 2 | 15/15 | 1.55 | 1.44 | −0.11 | 38th → 35th | 0.1 | 58% | 10.4 / 10.0 |
| 12 | Ryan Wood '17 | U. S. Merchant Marine Academy Mariners 2 | 15/15 | 0.67 | 1.17 | +0.50 | 17th → 27th | 1.3 | 43% | 12.2 / 12.6 |
| 13 | Sam Hallowell '16 | Hobart and William Smith Colleges Statesmen 1 | 15/15 | 1.08u | 0.82 | −0.27 | 25th → 18th | 0.4 | 75% | 13.3 / 11.4 |
| 14 | Anders Ekholm '17 | Fordham University Rams 1 | 15/15 | 1.69 | 0.68 | −1.01 | 42nd → 17th | 7.3 | 94% | 14.0 / 9.8 |
| 15 | Constantine Spentzos '17 | SUNY Stony Brook Seawolves 2 | 15/15 | 0.60 | 0.38 | −0.23 | 15th → 12th | 0.3 | 70% | 14.3 / 12.8 |
| 16 | Devin Keister '18 | U. S. Merchant Marine Academy Mariners 3 | 15/15 | 1.22 | 0.55 | −0.67 | 29th → 15th | 3.1 | 94% | 14.5 / 11.1 |
| 17 | Philippe Williamson '16 | Cornell University Big Red 3 | 15/15 | 0.35 | 0.49 | +0.14 | 11th → 14th | 0.1 | 67% | 14.7 / 13.4 |
| 18 | Nicholas Woviotis '15 | Syracuse University | 15/15 | -0.04 | 0.56 | +0.60 | 6th → 15th | 1.8 | 53% | 14.8 / 14.4 |
| 19 | James Keegan '16 | SUNY Maritime College Privateers 2 | 15/15 | 0.88 | -0.06 | −0.94 | 21st → 5th | 5.3 | 93% | 15.9 / 12.0 |
| 20 | Cody Murphy '17 | SUNY Stony Brook Seawolves 1 | 15/15 | -0.55 | -1.74 | −1.19 | 2nd → 1st | 4.1 | 97% | 18.9 / 15.5 |
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 ±0.02 means a rating gap counts about 2% 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.