Open Atlantic Coast Championships Round 1B — 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-W41). 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 2,015 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  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 Robert Ulmer '27 Massachusetts Institute of Technology 10/10 407 478 +71 97th → 99th 2.5 13% 6.1 / 8.4 407
2 Steven Hardee '26 University of Miami 10/10 410 457 +47 97th → 99th 1.2 23% 6.8 / 8.5 411
3 Hamilton Barclay '27 Tulane University 10/10 465 440 -26 99th → 99th 0.4 58% 6.9 / 6.6 461
4 Peter Barnard '27 Georgetown University 10/10 400 426 +26 97th → 98th 0.4 25% 7.3 / 8.8 400
5 Alex Lech '28 Boston College 10/10 411 440 +29 98th → 99th 0.5 35% 7.4 / 8.4 411
6 Morgan Pinckney '27 Yale University 10/10 448 406 -42 99th → 97th 1.0 67% 7.9 / 7.2 449
7 Michelangelo Vecchio '27 Bowdoin College 10/10 381 408 +26 96th → 97th 0.3 30% 8.3 / 9.4 382
8 Blake Behrens '27 Brown University 10/10 481 427 -54 99th → 99th 1.8 90% 8.6 / 6.1 481
9 Henry Allgeier '27 U. S. Naval Academy 10/10 437 372 -65 99th → 95th 2.7 74% 8.8 / 7.6 436
10 Jj Klempen '27 Hobart and William Smith Colleges 10/10 348 390 +42 93rd → 96th 0.9 27% 9.1 / 10.5 348
11 Keith Grupenhoff '29 University of Rhode Island 10/10 361 371 +10 94th → 95th 0.0 35% 9.3 / 10.2 361
12 Jacob Zils '27 Fordham University 10/10 378 390 +13 96th → 96th 0.1 65% 10.2 / 9.5 378
12 Lorenzo Puertas '29 University of Michigan 10/10 332 380 +48 92nd → 96th 1.2 34% 10.2 / 11.2 333
14 Ian Nyenhuis '29 San Diego State University 10/10 439 360 -79 99th → 94th 4.3 91% 10.3 / 7.4 436
15 Hank Seum '27 Jacksonville University 10/10 356 342 -14 94th → 93rd 0.1 74% 11.6 / 10.3 355
16 Reed Mcallister '27 U. S. Merchant Marine Academy 10/10 283 324 +40 85th → 90th 0.7 39% 12.1 / 12.6 293
17 Pierce Brindley '28 Old Dominion University 8/10 273 237 -36 84th → 79th 0.4 70% 14.1 / 13.0 273
17 Esther Ireland '29 Old Dominion University 2/10 254 278 +24 81st → 84th 0.1 61% 15.0 / 13.5 —
18 Gavin Galway '30 Webb Institute 10/10 186 259 +73 70th → 82nd 2.2 63% 15.9 / 15.0 188

Division B  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 Peter Herlihy '29 Georgetown University 10/10 455 525 +70 99th → 99th 2.2 6% 3.2 / 5.6 456
2 Owen Macwilliams '28 U. S. Naval Academy 6/10 430 512 +81 99th → 99th 1.8 10% 3.7 / 6.3 431
2 Kyle Reinecke '28 U. S. Naval Academy 4/10 441 451 +10 99th → 99th 0.0 40% 5.0 / 6.0 —
3 Cody Roe '29 Boston College 10/10 442 482 +40 99th → 99th 0.8 18% 4.3 / 6.0 442
4 Tyler Lamm '28 Brown University 6/10 431 467 +36 99th → 99th 0.4 26% 4.7 / 6.3 431
4 James Pine '30 Brown University 4/10 431 458 +27 99th → 99th 0.2 40% 5.2 / 6.2 —
5 William Kulas '28 Massachusetts Institute of Technology 10/10 359 408 +49 94th → 97th 1.2 10% 5.9 / 8.5 360
6 Wyatt Kelly '30 Yale University 10/10 396 428 +32 97th → 99th 0.5 38% 6.5 / 7.3 396
7 Kelly Holthus '27 Tulane University 10/10 401 404 +3 97th → 97th 0.0 49% 7.0 / 7.2 408
8 Patrick Shachoy '28 Fordham University 10/10 341 371 +29 92nd → 95th 0.5 33% 8.1 / 9.1 341
9 Rebecca Schill '27 Bowdoin College 10/10 331 341 +10 91st → 92nd 0.1 48% 9.2 / 9.4 332
10 Owen Grainger '28 University of Rhode Island 6/10 307 233 -75 89th → 78th 2.0 88% 13.0 / 10.2 307
10 Christopher Chwalk '28 University of Rhode Island 4/10 314 375 +60 89th → 95th 0.8 31% 8.5 / 10.0 —
11 David Webb '28 University of Miami 8/10 278 325 +47 84th → 91st 1.0 40% 10.6 / 11.2 279
11 William Stratton '29 University of Miami 2/10 286 215 -71 86th → 75th 0.7 85% 15.0 / 11.0 286
12 Noah Nyenhuis '27 San Diego State University 10/10 332 273 -59 91st → 84th 2.3 84% 11.6 / 9.4 327
13 Cole Schweda '27 Jacksonville University 10/10 311 225 -86 89th → 77th 4.2 83% 12.0 / 10.1 310
14 Marina Conde '28 Old Dominion University 10/10 312 293 -19 89th → 87th 0.2 85% 12.2 / 10.0 312
15 Db Murray '30 Hobart and William Smith Colleges 10/10 269 232 -36 83rd → 78th 0.7 79% 13.1 / 11.4 268
16 Langdon Wallace '27 U. S. Merchant Marine Academy 8/10 193 188 -5 71st → 70th 0.0 62% 14.2 / 13.6 193
16 Calvin Marsh '28 U. S. Merchant Marine Academy 2/10 227 44 -183 77th → 43rd 3.0 98% 17.5 / 12.8 227
17 Lila Torresen '29 University of Michigan 6/10 196 238 +43 71st → 79th 0.6 51% 13.7 / 13.6 201
17 Brendan Wojkowski '29 University of Michigan 4/10 142 34 -108 62nd → 41st 1.6 92% 17.2 / 14.7 —
18 Jack Prior '27 Webb Institute 10/10 84 134 +50 50th → 61st 0.9 67% 16.7 / 15.8 85