| # | School | Sailor | TOT | |
|---|---|---|---|---|
| 1 | Cornell University | Gilda Dondona '28 | 25 | |
| 2 | Brown University | Katharine Doble '26 | 35 | |
| 3 | Harvard University | Sophia Montgomery '25 | 37 | |
| 4 | University of Rhode Island | Okyanus Arıkan '26 | 42 | |
| 5 | Tulane University | Ava Anderson '27 | 46 | |
| 6 | Old Dominion University | Esther Ireland '29 | 50 | |
| 7 | Stanford University | Avery Baldwin '29 | 55 | |
| 8 | Brown University | Kaitlyn Hamilton '26 | 56 | |
| 9 | Harvard University | Kate Danielson '28 | 60 | |
| 10 | Old Dominion University | Arabella Duer '29 | 72 | |
| 11 | Webb Institute | Amaya Escudero '29 | 73 | |
| 12 | Old Dominion University | Gianna Dewey '27 | 76 | |
| 13 | Brown University | Sidney Moyer '27 | 77 | |
| 14 | Tulane University | Oakley Cunningham '27 | 83 | |
| 15 | Jacksonville University | Agija Elerte '26 | 93 | |
| 16 | University of Washington | Sammy Farkas '27 | 99 | |
| 17 | Brown University | Leila Pfrang '29 | 101 | |
| 18 | University of Michigan | Lila Torresen '29 | 118 |
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 | Gilda Dondona '28 | Cornell University | 7/7 | 4.30 | 4.81 | +0.50 | 98th → 99th | 0.5 | 17% | 3.6 / 6.0 |
| 2 | Katharine Doble '26 | Brown University Bears 2 | 7/7 | 3.73 | 4.33 | +0.61 | 93rd → 98th | 0.8 | 17% | 5.0 / 7.2 |
| 3 | Sophia Montgomery '25 | Harvard University Crimson 1 | 7/7 | 4.16 | 4.29 | +0.13 | 97th → 98th | 0.0 | 38% | 5.3 / 6.2 |
| 4 | Okyanus Arıkan '26 | University of Rhode Island | 7/7 | 3.41 | 3.87 | +0.45 | 89th → 94th | 0.5 | 20% | 6.0 / 8.1 |
| 5 | Ava Anderson '27 | Tulane University Green Wave 1 | 7/7 | 3.86 | 3.94 | +0.08 | 94th → 95th | 0.0 | 48% | 6.6 / 6.9 |
| 6 | Esther Ireland '29 | Old Dominion University Monarchs 2 | 7/7 | 2.70 | 3.40 | +0.70 | 72nd → 89th | 1.0 | 12% | 7.1 / 10.0 |
| 7 | Avery Baldwin '29 | Stanford University | 7/7 | 3.22 | 3.67 | +0.45 | 85th → 93rd | 0.5 | 41% | 7.9 / 8.5 |
| 8 | Kaitlyn Hamilton '26 | Brown University Bears 3 | 7/7 | 3.00 | 3.49 | +0.48 | 83rd → 90th | 0.6 | 34% | 8.0 / 9.1 |
| 9 | Kate Danielson '28 | Harvard University Crimson 2 | 7/7 | 3.46 | 3.03 | −0.43 | 90th → 83rd | 0.5 | 62% | 8.6 / 8.0 |
| 10 | Arabella Duer '29 | Old Dominion University Monarchs 3 | 7/7 | 2.01 | 2.91 | +0.89 | 52nd → 79th | 1.9 | 30% | 10.3 / 11.8 |
| 11 | Amaya Escudero '29 | Webb Institute | 7/7 | 2.33u | 2.85 | +0.52 | 60th → 78th | 0.7 | 42% | 10.4 / 11.0 |
| 12 | Gianna Dewey '27 | Old Dominion University Monarchs 1 | 7/7 | 2.14 | 2.21 | +0.07 | 56th → 58th | 0.0 | 39% | 10.9 / 11.5 |
| 13 | Sidney Moyer '27 | Brown University Bears 1 | 7/7 | 2.81 | 2.65 | −0.16 | 76th → 70th | 0.1 | 72% | 11.0 / 9.7 |
| 14 | Oakley Cunningham '27 | Tulane University Green Wave 2 | 7/7 | 2.57 | 2.54 | −0.03 | 67th → 66th | 0.0 | 70% | 11.9 / 10.3 |
| 15 | Agija Elerte '26 | Jacksonville University | 7/7 | 2.59 | 1.85 | −0.74 | 68th → 46th | 1.7 | 89% | 13.3 / 10.3 |
| 16 | Sammy Farkas '27 | University of Washington | 7/7 | 1.70 | 1.47 | −0.23 | 42nd → 37th | 0.1 | 75% | 14.1 / 12.6 |
| 17 | Leila Pfrang '29 | Brown University Bears 4 | 7/7 | 2.72 | 1.58 | −1.14 | 72nd → 39th | 3.9 | 97% | 14.4 / 9.9 |
| 18 | Lila Torresen '29 | University of Michigan | 7/7 | 1.10 | -0.42 | −1.51 | 25th → 3rd | 2.9 | 92% | 16.9 / 13.8 |
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.