81st Boston Dinghy Challenge Cup — 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 (2016-W16). 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 2,454 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.

Division A  17 boats · 9 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 Harry Koeppel '17 Boston College 9/9 367* 490 +123 96th → 99th 5.7 2% 4.0 / 8.4 397*
2 Alexander Stewart '17 Massachusetts Institute of Technology 6/9 378* 412 +34 97th → 99th 0.3 16% 5.3 / 8.0 378*
2 Ty Ingram '18 Massachusetts Institute of Technology 3/9 390* 463 +72 98th → 99th 0.8 31% 5.3 / 7.5 391*
3 Marek Zaleski '16 Harvard University 9/9 389* 427 +38 98th → 99th 0.7 24% 5.9 / 7.6 389*
4 Nathaniel Johansson '18 Dartmouth College 9/9 365* 404 +39 96th → 98th 0.7 19% 6.2 / 8.5 365*
5 Pearson Potts '16 Brown University 9/9 402* 390 -13 98th → 98th 0.1 52% 7.1 / 7.2 420*
6 Ravi Parent '18 Boston University 9/9 383* 381 -2 97th → 97th 0.0 50% 7.7 / 7.8 383*
7 Jack Mcguire '17 Bowdoin College 6/9 368* 361 -7 96th → 95th 0.0 60% 8.8 / 8.3 368*
7 William Hawk '18 Bowdoin College 3/9 344* 453 +110 93rd → 99th 1.7 19% 5.7 / 9.2 344*
8 Matthew Coughlin '16 University of Rhode Island 9/9 342* 381 +40 93rd → 97th 0.8 38% 8.4 / 9.2 342*
9 Stewart Draheim '16 Roger Williams University 9/9 372* 332 -40 96th → 92nd 0.9 65% 8.8 / 8.1 371*
10 Joseph Kiss '17 Yale University 9/9 406* 338 -68 99th → 93rd 2.9 86% 9.2 / 7.0 406*
11 John Rolander '17 Tufts University 9/9 361* 330 -30 95th → 92nd 0.4 67% 9.4 / 8.6 362*
12 Connor Godfrey '16 Fordham University 9/9 363* 362 -1 95th → 95th 0.0 79% 10.2 / 8.5 362*
13 William Crary '17 University of Vermont 9/9 331* 314 -17 92nd → 89th 0.2 71% 10.8 / 9.6 332*
14 John Silvestri '16 Salve Regina University 9/9 273* 286 +14 82nd → 85th 0.1 55% 11.8 / 11.4 273*
15 Cobi Allen '16 University of California at Santa Barbara 9/9 286* 286 +0 84th → 85th 0.0 80% 12.9 / 11.0 286*
16 Peter Christensen '18 Northeastern University 9/9 239* 276 +37 75th → 83rd 0.6 68% 13.4 / 12.4 240*
17 Eric Siegel '16 Washington College 9/9 276* 166 -110 83rd → 60th 4.3 97% 14.9 / 11.4 276*

Division B  17 boats · 9 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 Charles Lalumiere '17 Dartmouth College 9/9 396* 450 +54 98th → 99th 1.3 15% 4.2 / 6.5 411*
2 Nick Sertl '18 Harvard University 9/9 356* 443 +87 95th → 99th 3.1 7% 4.6 / 7.7 358*
3 Scott Barbano '17 Tufts University 9/9 374* 423 +49 97th → 99th 1.1 17% 5.1 / 7.1 375*
4 Nathan Allman '16 Brown University 9/9 360* 414 +53 95th → 99th 1.3 17% 5.4 / 7.6 369*
5 Brendan Cook '16 Boston University 9/9 354* 455 +101 95th → 99th 3.6 18% 5.8 / 7.8 356*
6 Malcolm Lamphere '18 Yale University 9/9 360* 401 +41 95th → 98th 0.8 26% 6.2 / 7.7 361*
7 Joseph Paggi '16 Massachusetts Institute of Technology 6/9 317* 389 +72 90th → 98th 1.6 21% 6.8 / 9.0 318*
7 David Larson '16 Massachusetts Institute of Technology 3/9 363* 399 +36 95th → 98th 0.2 37% 6.0 / 7.5 363*
8 Martim Anderson '18 Roger Williams University 9/9 383* 375 -8 97th → 97th 0.0 71% 7.9 / 6.9 383*
9 Henry Dumke '17 Boston College 9/9 341* 334 -7 93rd → 92nd 0.0 57% 8.6 / 8.3 341*
10 Matthew Kaplan '19 Bowdoin College 6/9 350* 276 -74 94th → 83rd 2.4 90% 11.2 / 7.9 351*
10 Matthew Lyons '17 Bowdoin College 3/9 324* 350 +26 91st → 94th 0.1 38% 7.3 / 8.6 324*
11 Roberto Stevens '19 Fordham University 9/9 302* 285 -17 88th → 84th 0.2 69% 10.6 / 9.4 302*
12 Patrick Isherwood '17 University of Rhode Island 9/9 270* 276 +6 81st → 83rd 0.0 56% 10.9 / 10.5 271*
13 Sam Shannon '19 Salve Regina University 9/9 267* 220 -48 81st → 72nd 1.1 68% 11.7 / 10.6 268*
14 Alexander Smith '17 Washington College 9/9 171* 217 +46 62nd → 72nd 0.9 53% 13.7 / 13.3 172*
14 Harrison Vandervort '19 University of California at Santa Barbara 9/9 297* 199 -98 87th → 68th 5.8 94% 13.7 / 9.6 293*
16 Benjamin Craig '17 University of Vermont 6/9 241* 131 -111 76th → 51st 3.9 94% 15.0 / 11.4 241*
16 Mike Kanare '16 University of Vermont 3/9 189* 266 +76 66th → 80th 0.9 45% 12.7 / 12.8 197*
17 Kurran Singh '19 Northeastern University 9/9 236* 172 -64 75th → 62nd 1.9 91% 14.3 / 11.5 236*

Division C  17 boats · 9 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 Connor Corgard '16 Roger Williams University 9/9 400* 426 +27 98th → 99th 0.3 23% 4.3 / 5.9 409*
2 Nicolas Hernandez '19 Yale University 9/9 390* 383 -7 98th → 97th 0.0 32% 5.0 / 6.2 391*
3 James Barry '16 Brown University 9/9 344* 374 +30 93rd → 97th 0.5 29% 6.2 / 7.5 349*
4 Juan Perdomo '17 Harvard University 9/9 352* 367 +15 94th → 96th 0.1 38% 6.4 / 7.3 352*
5 Casey Gowrie '16 Tufts University 9/9 350* 339 -10 94th → 93rd 0.1 42% 6.8 / 7.4 349*
6 Cutter O'Connell '18 Massachusetts Institute of Technology 9/9 329* 337 +9 92nd → 92nd 0.0 36% 7.0 / 8.0 329*
7 Wade Waddell '19 Boston College 9/9 340* 337 -3 93rd → 92nd 0.0 51% 7.6 / 7.7 340*
8 Dakota Northrup '19 University of Rhode Island 9/9 318* 309 -9 90th → 89th 0.0 49% 8.2 / 8.4 318*
8 Duncan Williford '18 Dartmouth College 9/9 331* 323 -8 92nd → 91st 0.0 57% 8.2 / 7.9 338*
10 Alexander Vasiliou '18 Bowdoin College 7/9 298* 265 -33 87th → 80th 0.4 49% 8.9 / 9.0 298*
10 Jack Fullerton '19 Bowdoin College 2/9 264* 299 +35 80th → 87th 0.1 41% 9.0 / 10.2 264*
11 Sean Beaulieu '18 Salve Regina University 9/9 245* 281 +37 76th → 84th 0.6 33% 9.7 / 10.7 245*
12 Olivia Godfrey '17 University of California at Santa Barbara 9/9 256* 286 +30 79th → 85th 0.5 56% 10.8 / 10.4 257*
13 Jan Kite-Powell '19 University of Vermont 9/9 275* 240 -35 82nd → 75th 0.7 81% 11.8 / 9.8 275*
14 Reed Lorimer '18 Boston University 9/9 255* 250 -5 79th → 78th 0.0 79% 12.2 / 10.4 256*
15 Hannah Schmidt '17 Washington College 9/9 164* 149 -15 60th → 56th 0.1 49% 13.1 / 13.1 164*
16 Donal Ryan '19 Northeastern University 7/9 159* 210 +52 58th → 70th 0.8 54% 13.4 / 13.1 159*
16 Robert Rose '20 Northeastern University 2/9 260* 265 +6 79th → 80th 0.0 69% 12.5 / 10.3 262*
17 Anders Ekholm '17 Fordham University 9/9 247* 199 -49 77th → 68th 1.3 93% 13.7 / 10.6 247*

From the notes

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

All notes →