Dark of Night — Analysis

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* This regatta is not official yet. Ratings marked * are from the last weekly update and have not absorbed this event; the performance columns use the results posted so far, and everything refreshes as scoring is finalised.

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 (2015-W46). 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 2,502 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.

Division A  16 boats · 2 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 Florian Eenkema Van Dijk '19 Tufts University Jumbos 4 1/2 314* 700+ +386 90th → 99th 2.2 16% 1.0 / 5.3 315*
1 Logan Russell '19 Tufts University Jumbos 4 1/2 260* 464 +205 80th → 99th 1.3 17% 2.0 / 6.8 261*
2 Alexander Tong '17 Tufts University Jumbos 2 1/2 314* 700+ +386 90th → 99th 2.4 12% 1.0 / 5.4 317*
2 Bobby Mclaughlin '17 Tufts University Jumbos 2 1/2 175* 381 +207 64th → 98th 1.5 13% 3.0 / 9.1 177*
3 Pierre Dupont '16 Tufts University Jumbos 1 2/2 179* 420 +241 64th → 99th 3.7 3% 2.5 / 8.9 184*
4 George Williams '17 University of Connecticut 2/2 48* 310 +262 34th → 90th 4.6 2% 5.0 / 12.3 48*
5 Alexandra Swanson '16 Brown University 2/2 201* 275 +74 69th → 84th 0.6 28% 6.0 / 8.4 201*
5 Aaron Klein '18 Tufts University Jumbos 3 1/2 204* 333 +129 70th → 93rd 0.7 22% 4.0 / 8.3 202*
5 Ryan Epprecht '18 Tufts University Jumbos 3 1/2 180* 229 +49 65th → 75th 0.1 45% 8.0 / 8.9 184*
7 Jackson Hamilton '19 Northeastern University Huskies 2 2/2 294* 215 -80 87th → 72nd 0.9 70% 7.0 / 5.9 294*
8 Kurran Singh '19 Northeastern University Huskies 1 2/2 231* 189 -41 75th → 67th 0.2 70% 9.0 / 7.6 231*
11 Sarah De Silva '19 Northeastern University Huskies 3 2/2 238* 123 -115 76th → 51st 2.1 90% 11.5 / 7.3 238*
12 Zachary Vickerson '16 Boston University Terriers 1 2/2 245* 246 +1 78th → 78th 0.0 94% 12.0 / 7.1 246*
13 Samuel Campbell '17 Boston University Terriers 2 2/2 169* 207 +38 63rd → 71st 0.1 89% 13.0 / 9.2 169*
15 Julia Becker '19 Emmanuel College 2/2 -90* — — 7th → — 0.2 48% 15.0 / 14.5 -90*

Division B  16 boats · 2 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 Amanda Sommi '16 Tufts University Jumbos 1 1/2 226* 491 +265 74th → 99th 2.0 10% 2.0 / 7.8 232*
1 Cameron Holley '19 Tufts University Jumbos 1 1/2 302* 493 +192 89th → 99th 1.2 21% 2.0 / 5.9 301*
2 Solomon Tarlin '17 Boston University Terriers 1 2/2 220* 448 +228 73rd → 99th 3.4 5% 2.5 / 8.0 221*
3 John Wehner '18 Northeastern University Huskies 2 2/2 248* 348 +100 78th → 94th 0.9 24% 4.5 / 7.2 250*
3 Nathan Housberg '19 Brown University 2/2 235* 355 +120 76th → 95th 1.3 22% 4.5 / 7.6 236*
3 Robert Rose '20 Northeastern University Huskies 1 2/2 238* 352 +114 76th → 95th 1.2 24% 4.5 / 7.5 241*
6 James Beatty '17 Tufts University Jumbos 2 2/2 302* 288 -14 89th → 86th 0.0 46% 5.0 / 5.8 303*
7 Tyler Paige '18 Tufts University Jumbos 3 2/2 167* 273 +106 62nd → 83rd 1.1 30% 7.5 / 9.4 168*
8 Ian Morgan '19 Tufts University Jumbos 4 2/2 161n* 257 +96 60th → 80th 0.9 44% 8.5 / 9.3 161*
9 Hannah Polster '17 Boston University Terriers 2 2/2 350* 197 -153 95th → 69th 4.1 95% 9.0 / 4.7 350*
10 Kiley Burke '17 Emmanuel College 2/2 -72* 224 +296 10th → 74th 5.6 6% 9.5 / 14.2 -72*
13 Claire Lockard '18 Northeastern University Huskies 3 2/2 135* 160 +24 55th → 60th 0.1 75% 12.5 / 10.2 135*
14 Shannon Nardi '16 University of Connecticut 2/2 -34* 119 +153 18th → 50th 2.0 57% 14.5 / 13.7 -37*

From the notes

Short write-ups of what the ratings and results show, with the numbers and how they were computed.

All notes →