Laser North — 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, with each opponent fixed at their rating from the last rated week before this event (2026-W37). Substitute skippers are scored only on the races they sailed.

Percentile places a rating among the 1,691 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 each race 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; 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.

  • u not rated by the model — the division median is used as the baseline.

Division A  8 boats · 8 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 Thomas Allison '27 Hobart and William Smith Colleges 8/8 -24 371 +395 33rd99th 28.8 <1% 2.5 / 6.3
2 Granger Osborne '30 U. S. Merchant Marine Academy 8/8 54 226 +172 57th90th 7.2 6% 3.9 / 5.1
3 William Cole Bonnell '28 Queen's University 8/8 72u 244 +173 61st92nd 8.7 30% 4.4 / 4.8
4 Nicky Lech '30 Fordham University 8/8 294 170 -124 97th82nd 6.9 >99% 5.5 / 1.7
5 Marc Leyk '28 Webb Institute 8/8 49 142 +93 56th76th 3.1 >99% 8.9 / 5.2
6 Beylen Gode '29 Cornell University 8/8 90 135 +45 65th74th 0.8 >99% 10.9 / 4.5
7 Rj Calanese '29 SUNY Maritime College 8/8 72u 57 -15 61st57th 0.1 >99% 15.2 / 4.8
8 Joseph Murphy '28 Penn State University 8/8 149 -140 -289 77th3rd 25.5 >99% 17.0 / 3.5