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Monotype Trophy - NEISA Open Singlehanded Champs

SchoolSailor R1 R2 R3 R4 R5 R6 R7 R8 R9 R10 R11 TOT
Harvard University Harvard University Robby Meek '27 1 7 1 3 3 2 1 8 1 1 2 30
Boston College Boston College Jake Homberger '29 7 3 2 8 1 1 10 7 4 6 8 57
Brown University Brown University Guthrie Braun '26 3 11 5 18 7 18 2 1 2 3 1 71
Roger Williams University Roger Williams University Connor Mchugh '28 2 8 16 5 2 7 5 2 14 7 5 73
Yale University Yale University Mathias Reimer '27 4 18 8 6 9 10 3 5 7 2 6 78
Connecticut College Connecticut College Henry Scholz '27 5 16 6 4 5 8 9 11 9 8 10 91
Brown University Brown University William Baker '29 6 5 21 2 6 16 11 4 3 12 9 95
U. S. Coast Guard Academy U. S. Coast Guard Academy Benjamin Reeser '28 14 1 11 1 14 23 14 3 RDG 9 4 103
Tufts University Tufts University Devon Owen '27 12 12 12 10 15 5 4 6 13 11 7 107
Brown University Brown University Martins Atilla '27 10 2 7 9 8 3 7 16 18 18 19 117
Roger Williams University Roger Williams University Reece Schwartz '29 11 15 4 7 4 4 25 18 16 16 12 132
Roger Williams University Roger Williams University Norman Cartwright '28 15 26 9 14 11 14 8 9 6 10 11 133
Roger Williams University Roger Williams University Tristan Mcdonald '28 18 19 10 13 13 12 6 12 10 13 13 139
Boston College Boston College Tor Svendsen '27 9 9 3 15 10 6 31 15 12 14 17 141
Brown University Brown University Charles Gish '28 16 27 15 11 17 15 23 10 5 4 3 146
Dartmouth College Dartmouth College Ben Sheppard '27 20 10 26 23 21 17 17 13 8 5 14 174
Yale University Yale University Alex Adams '26 19 4 19 16 20 13 20 22 20 17 20 190
Roger Williams University Roger Williams University Hayden Mccready '29 13 25 22 25 23 9 12 19 11 24 16 199
Brown University Brown University Julian Dahiya '28 8 23 13 21 12 20 15 14 RAF 22 22 202
U. S. Coast Guard Academy U. S. Coast Guard Academy Richard Pokorny '29 17 13 14 22 22 21 13 17 26 20 21 206
Tufts University Tufts University Wyatt Bischoff '27 22 14 23 17 18 11 18 24 21 15 DNS 215
Bowdoin College Bowdoin College Cole Amaral '28 21 20 18 12 19 27 21 20 22 23 15 218
Connecticut College Connecticut College Duncan Craine '26 25 21 27 24 16 25 16 21 15 19 23 232
Massachusetts Institute of Technology Massachusetts Institute of Technology Conrad Straden '28 26 29 17 RAF 28 19 24 23 19 21 18 256
McGill University McGill University Mikhail Lavrenov '26 28 6 20 29 27 28 26 30 23 25 25 267
University of Rhode Island University of Rhode Island Adam Strobridge '26 23 17 24 20 24 31 29 26 27 27 26 274
Tufts University Tufts University Gus Macaulay '27 24 22 28 19 29 24 19 28 24 29 28 274
Connecticut College Connecticut College Joseph Whelan '29 27 24 25 27 25 26 22 27 25 26 27 281
Connecticut College Connecticut College Jake Demos '27 29 28 30 26 26 22 27 25 28 28 24 293
University of Rhode Island University of Rhode Island Pierson Falk '28 31 31 29 28 30 29 28 29 29 30 29 323
University of New Hampshire University of New Hampshire Cole Norris '29 30 30 31 30 31 30 30 31 30 DNF DNS 337

Performance rating asks, for each skipper: holding every other boat fixed, which rating makes my actual race-by-race finishes least surprising? Boats are valued with the singlehanded rating rather than the fleet rating: 0.79 × the skipper's fleet rating from the week before the event (unrated skippers start at 1.11); the skipper's own singlehanded offset. Strength differences are scaled by 0.80 before they become probabilities, the value that calibrates the model on seasons it had not seen. Non-finishes (OCS, DNF and similar) are left out of the fitting, as in the rating model.

Percentile places a rating among the 309 ICSA sailors with a singlehanded rating who raced the discipline in the last three seasons. Surprise is how many bits more surprising the finishes were at the pre-event rating than at the performance rating. P(this good or better) simulates the event 3,000 times at the pre-event ratings, with the same regatta-form model as the fleet analysis pages, and reports how often the skipper would score this many points or fewer in the races they sailed.

The singlehanded offsets are the current ones (the discipline files keep no weekly history), so a skipper's own offset has already seen this event; offsets are shrunk hard, so the effect is a few hundredths at most. Only skippers are rated.

  • u no fleet rating — the model's level for unrated skippers is the baseline.

Division A  31 boats · 11 races

FinSkipperSchool Races Rating
before		 Perf.
rating		 Δ Percentile
before → perf.		 Surprise
(bits)		 P(this good
or better)		 Avg finish
actual / exp.
1Robby Meek '27Harvard University11/114.596.31+1.7199th → 99th7.90%2.7 / 8.0
2Jake Homberger '29Boston College Eagles 211/114.015.08+1.0795th → 99th3.97%5.2 / 10.3
3Guthrie Braun '26Brown University Bears 311/114.224.41+0.1997th → 98th0.117%6.5 / 9.4
4Connor Mchugh '28Roger Williams University Hawks 111/113.574.54+0.9792nd → 99th3.45%6.6 / 12.1
5Mathias Reimer '27Yale University Bulldogs 111/113.784.49+0.7194th → 99th1.911%7.1 / 11.1
6Henry Scholz '27Connecticut College Camels 211/113.034.31+1.2883rd → 98th5.74%8.3 / 14.3
7William Baker '29Brown University Bears 111/113.074.02+0.9583rd → 95th3.35%8.6 / 14.4
8Devon Owen '27Tufts University Jumbos 111/113.203.98+0.7785th → 95th2.313%9.7 / 13.6
9Martins Atilla '27Brown University Bears 411/113.633.57−0.0693rd → 92nd0.041%10.6 / 11.9
10Benjamin Reeser '28U. S. Coast Guard Academy Bears 111/113.413.74+0.3389th → 93rd0.441%11.5 / 12.8
11Reece Schwartz '29Roger Williams University Hawks 211/113.373.27−0.1189th → 86th0.143%12.0 / 13.0
12Norman Cartwright '28Roger Williams University Hawks 511/112.84u3.39+0.5578th → 89th1.225%12.1 / 15.2
13Tristan Mcdonald '28Roger Williams University Hawks 411/113.203.46+0.2685th → 90th0.340%12.6 / 13.7
14Tor Svendsen '27Boston College Eagles 111/112.722.70−0.0272nd → 72nd0.023%12.8 / 15.6
15Charles Gish '28Brown University Bears 511/112.813.01+0.2076th → 83rd0.234%13.3 / 15.3
16Ben Sheppard '27Dartmouth College11/112.982.67−0.3181st → 71st0.565%15.8 / 14.6
17Alex Adams '26Yale University Bulldogs 211/112.632.66+0.0369th → 70th0.063%17.3 / 16.1
18Hayden Mccready '29Roger Williams University Hawks 311/111.982.38+0.4051st → 61st0.741%18.1 / 19.0
19Julian Dahiya '28Brown University Bears 211/112.852.65−0.1978th → 70th0.281%18.4 / 15.2
20Richard Pokorny '29U. S. Coast Guard Academy Bears 211/112.952.33−0.6381st → 60th2.086%18.7 / 14.7
21Wyatt Bischoff '27Tufts University Jumbos 211/112.732.47−0.2673rd → 62nd0.385%19.5 / 15.7
22Cole Amaral '28Bowdoin College11/112.432.25−0.1862nd → 59th0.272%19.8 / 17.2
23Duncan Craine '26Connecticut College Camels 411/112.431.99−0.4562nd → 51st1.083%21.1 / 16.8
24Conrad Straden '28Massachusetts Institute of Technology11/111.961.64−0.3250th → 41st0.488%23.3 / 19.2
25Mikhail Lavrenov '26McGill University11/111.410.87−0.5434th → 20th1.375%24.3 / 21.3
26Adam Strobridge '26University of Rhode Island Rams 111/111.730.98−0.7643rd → 22nd2.688%24.9 / 20.0
26Gus Macaulay '27Tufts University Jumbos 311/111.740.98−0.7643rd → 22nd2.889%24.9 / 20.0
28Joseph Whelan '29Connecticut College Camels 111/111.271.25−0.0230th → 29th0.082%25.5 / 21.8
29Jake Demos '27Connecticut College Camels 311/111.270.79−0.4830th → 18th1.189%26.6 / 21.9
30Pierson Falk '28University of Rhode Island Rams 211/110.57-0.63−1.2015th → 2nd4.896%29.4 / 24.2
31Cole Norris '29University of New Hampshire11/11-0.67-1.06−0.392nd → 1st0.396%30.6 / 27.5

Conditions — 09/12/2025 (8am–6pm)

☀️Clear sky
Humidity 60%  ·  Pressure 1022.9 hPa

Temperature

68°F
↑ 72°F   ↓ 59°F
Feels like 68°F

Wind

● from   ▲ toward
4.7 kn
avg  ·  max 6.6 kn
Gusts to 15.9 kn
From NE (40°)

Sky & Precipitation

Cloud cover16% Sunshine11.0 hrs Humidity60% Pressure1022.9 hPa

What this breeze does at Brown — from fleet racing

Breeze: NE about 8 kn (weather reanalysis in the scorer’s units)
In fleet races at Brown in this breeze: a favourites’ day (+0.06)
Favourites’ conditions: in fleet racing here the results follow the ratings more closely than usual, and the top seeds hold their places.

Orderliness is how tightly a fleet race’s finishing order follows the pre-regatta ratings, relative to a typical event (0): positive is the favourites’ day, negative the underdogs’. A value of ±0.06 means a rating gap counts about 5% more than on a typical day. This event is not a fleet race the rating model scores, so there is no actual value for it: this is what this venue’s fleet racing history says about the breeze on the day, read off the chart at the star. How this is estimated · compare venues.

Orderliness beyond the fleet at Brown by wind direction (angle) and speed (rings), fitted surface; dots are labelled regatta-days, ★ this regatta (78 labelled fleet-race days at Brown).

From the notes

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

All notes →