NY Maritime Fall Open — Analysis

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Performance rating answers one question for each skipper: holding every other skipper's rating fixed, which rating makes my actual race-by-race finishes least surprising? It is the maximum-likelihood rating under the same Plackett–Luce model that produces the power rankings (how accurate it is), with each opponent fixed at their rating from the last rated week before this event (2026-W39). Substitute skippers are scored only on the races they sailed, and races the boat did not finish (OCS, DNF and similar) are left out.

Percentile places a rating among the 1,943 ICSA skippers who were rated within the year before this event, so it reads as “better than X% of the skippers racing in this league right now”. The arrow shows where the sailor stood going in and where this performance would put them.

Surprise is how many bits more surprising the sailor's finishes were at their pre-event rating than at their performance rating (0 = exactly as expected). P(this good or better) simulates the regatta 3,000 times with the sailor at their pre-event rating against the actual fleet, and reports how often they would score this many points or fewer in the races they skippered. Races in one regatta are not independent, so each simulation also gives every skipper a good or bad regatta, form that drifts from race to race, and the speed of each boat the rotation puts them in (why). Low means an unusually good regatta, high means an unusually poor one. It deliberately ignores how rivals actually sailed, so it agrees with the performance rating rather than with the division finish, which also depends on everyone else's day. Ratings are shown on the rankings scale (model rating × 100). Only skippers are rated; crews are not part of the model.

  • n no rating before this event — the model's estimate from this week is used as the baseline.
  • — in the performance column means the skipper finished last in every race they sailed, so no finite least-surprisal rating exists.

Combined divisions  18 boats · 10 races

Fin Skipper School Races Rating
before
Perf.
rating
Δ Percentile
before → perf.
Surprise
(bits)
P(this good
or better)
Avg finish
actual / exp.
Rating
after
1 Patrick Shachoy '28 Fordham University Rams 2 A 10/10 291 338 +47 89th → 94th 0.8 8% 2.1 / 3.8 291
2 Erickson Rankin '27 Fordham University Rams 2 B 10/10 254 263 +9 85th → 86th 0.0 21% 3.2 / 4.6 254
3 Liam Downes '28 Queen's University Gaels A 10/10 150 191 +41 68th → 76th 0.9 21% 5.0 / 7.3 151
4 Charlie Parsons '30 Fordham University Rams 1 B 10/10 171n 177 +6 73rd → 73rd 0.0 29% 5.1 / 6.8 171
5 Granger Osborne '30 U. S. Merchant Marine Academy Mariners 2 A 10/10 88 143 +55 57th → 67th 1.4 5% 5.7 / 9.1 100
6 Jeremy Lunati '27 SUNY Maritime College Privateers 2 B 8/10 118 132 +14 63rd → 65th 0.1 19% 6.2 / 8.2 118
6 Rj Calanese '29 SUNY Maritime College Privateers 2 B 2/10 13n 0 -13 43rd → 40th 0.0 59% 12.0 / 11.0 13
7 Robert Finora '27 U. S. Merchant Marine Academy Mariners 1 A 10/10 119 63 -56 63rd → 52nd 1.9 44% 7.7 / 8.2 103
8 Mack Robertson '30 Fordham University Rams 1 A 10/10 -16 87 +103 37th → 57th 4.8 6% 7.8 / 12.1 39
8 Victor Schlecker '30 SUNY Maritime College Privateers 1 A 10/10 80 96 +16 56th → 59th 0.1 25% 7.8 / 9.3 80
10 Brian Lynch '30 SUNY Maritime College Privateers 1 B 10/10 47 13 -34 49th → 43rd 0.7 39% 9.5 / 10.3 47
11 Kevin Ryan '29 U. S. Merchant Marine Academy Mariners 1 B 10/10 80 33 -46 56th → 47th 1.3 56% 9.6 / 9.4 76
12 Jonathan Sponholz-Ruskin '30 Queen's University Gaels B 10/10 19n 15 -4 44th → 43rd 0.0 38% 9.9 / 11.1 19
13 Matthew Mccarvill '28 U. S. Merchant Marine Academy Mariners 2 B 6/10 -11 -19 -8 38th → 36th 0.0 46% 11.8 / 12.0 -11
13 Owen Alway '30 U. S. Merchant Marine Academy Mariners 2 B 4/10 -111 -116 -5 18th → 17th 0.0 76% 16.5 / 14.3 -111
14 Marcus Kozlowski '30 SUNY Maritime College Privateers 2 A 8/10 -61 -101 -40 28th → 20th 0.4 58% 13.9 / 13.3 -62
14 Desmond White '30 SUNY Maritime College Privateers 2 A 2/10 -69n — — 27th → — 2.0 50% 14.0 / 13.3 -69
15 Sebastien Nordenson '27 Princeton University Tigers A 10/10 53 80 +27 50th → 56th 0.1 99% 15.7 / 10.2 53
16 Ella Gonzalez '28 Princeton University Tigers B 10/10 -57 — — 29th → — 2.2 >99% 18.6 / 13.4 -57
17 Richard Stevens '27 Lehigh University Mountain Hawks A 10/10 -79n — — 25th → — 1.5 >99% 18.7 / 13.5 -79
18 Danny Uzzo '28 Lehigh University Mountain Hawks B 10/10 166 — — 72nd → — 0.0 >99% 19.0 / 7.0 —