NEISA Men's Singlehanded Championship

SchoolSailor R1 R2 R3 R4 R5 R6 R7 R8 R9 R10 R11 R12 R13 R14 R15 R16 R17 R18 TOT
Yale University Yale University Cam Cullman '13 3 8 2 5 1 10 2 1 1 6 3 1 7 4 2 2 2 11 71
University of Vermont University of Vermont Michael Zonnenberg '15 2 2 11 1 13 1 11 8 2 2 8 8 5 9 7 6 3 6 105
Brown University Brown University Colin Smith '13 1 6 3 12 14 17 16 2 9 5 4 2 3 1 1 4 8 2 110
Brown University Brown University Lucas Adams '15 10 11 9 3 4 3 1 5 5 8 2 4 4 14 4 14 5 18 124
Tufts University Tufts University William Hutchings '13 6 4 4 17 12 4 12 3 8 4 17 9 6 10 16 9 1 5 147
Massachusetts Institute of Technology Massachusetts Institute of Technology Philip Crain '13 9 7 13 10 8 8 5 13 6 3 7 6 12 12 5 12 4 12 152
Tufts University Tufts University Dan Nickerson '15 4 9 7 7 10 14 17 14 15 12 1 7 13 8 3 1 7 8 157
Brown University Brown University James Barry '16 13 20 12 4 11 7 7 9 12 13 5 3 8 3 8 8 11 3 157
Boston College Boston College Domenic Bove '15 14 15 5 9 6 2 3 10 13 9 10 5 15 7 9 5 15 7 159
Harvard University Harvard University Marek Zaleski '16 5 18 6 6 7 6 6 11 7 14 15 17 2 11 13 3 10 4 161
Yale University Yale University Max Nickbarg '14 8 13 1 14 9 11 13 4 3 18 13 14 1 2 10 10 9 14 167
Boston College Boston College Ryan Schmitz '15 7 3 14 8 2 5 14 16 10 7 12 11 10 15 12 15 13 1 175
Dartmouth College Dartmouth College Bo Mcclatchy '13 17 19 10 2 5 19 10 7 18 1 11 13 9 5 14 13 6 9 188
Massachusetts Institute of Technology Massachusetts Institute of Technology Joseph Paggi '16 11 16 15 13 15 12 8 6 11 10 6 15 14 17 19 11 14 13 226
Brown University Brown University Reid Secondo '16 16 14 16 18 17 15 4 12 4 11 9 12 16 6 17 17 12 15 231
Massachusetts Institute of Technology Massachusetts Institute of Technology William Livernois '16 12 5 18 15 16 9 20 17 17 17 18 16 17 13 18 7 17 10 262
University of Vermont University of Vermont Henry O'Brien '15 19 12 17 16 18 16 15 18 14 15 14 10 11 16 6 16 16 19 268
Roger Williams University Roger Williams University Max Lopez '15 15 1 8 11 3 18 9 15 16 16 DNS DNS DNS DNS DNS DNS DNS DNS 280
Harvard University Harvard University Luke O'Connor '14 18 17 DNF 19 19 13 18 19 20 19 16 DNF 19 DNS 11 18 18 16 323
Northeastern University Northeastern University Luke Orchardo '16 20 10 19 20 20 20 19 20 19 DNF 19 18 18 18 15 19 19 17 331

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.

Division A  20 boats · 18 races

FinSkipperSchool Races Rating
before
Perf.
rating
Δ Percentile
before → perf.
Surprise
(bits)
P(this good
or better)
Avg finish
actual / exp.
1Cam Cullman '13Yale University Elis18/182.904.26+1.3678th → 98th9.31%3.9 / 8.4
2Michael Zonnenberg '15University of Vermont Catamounts18/182.683.51+0.8371st → 91st4.16%5.8 / 9.1
3Colin Smith '13Brown University Bears 118/183.033.21+0.1883rd → 85th0.218%6.1 / 8.0
4Lucas Adams '15Brown University Bears 418/182.602.93+0.3368th → 79th0.712%6.9 / 9.3
5William Hutchings '13Tufts University Jumbalaya18/182.782.60−0.1875th → 68th0.242%8.2 / 8.8
6Philip Crain '13Massachusetts Institute of Technology Angry Beavers18/182.862.81−0.0578th → 76th0.051%8.4 / 8.6
7Dan Nickerson '15Tufts University Jumbos18/182.372.70+0.3361st → 72nd0.732%8.7 / 10.1
7James Barry '16Brown University Bears 218/182.082.64+0.5654th → 69th1.922%8.7 / 10.9
9Domenic Bove '15Boston College Eagles 118/182.382.64+0.2661st → 69th0.536%8.8 / 10.0
10Marek Zaleski '16Harvard University Cantabs18/182.252.45+0.2159th → 62nd0.332%8.9 / 10.3
11Max Nickbarg '14Yale University Bulldogs18/182.222.46+0.2458th → 62nd0.435%9.3 / 10.4
12Ryan Schmitz '15Boston College Eagles 218/182.012.41+0.4052nd → 61st1.133%9.7 / 11.1
13Bo Mcclatchy '13Dartmouth College18/182.202.08−0.1358th → 54th0.151%10.4 / 10.5
14Joseph Paggi '16Massachusetts Institute of Technology Beavers18/182.101.72−0.3855th → 43rd1.073%12.6 / 10.8
15Reid Secondo '16Brown University Bears 318/181.241.75+0.5129th → 43rd1.741%12.8 / 13.3
16William Livernois '16Massachusetts Institute of Technology Engineers18/181.511.15−0.3538th → 25th0.978%14.6 / 12.4
17Henry O'Brien '15University of Vermont Cats18/181.771.23−0.5443rd → 29th2.288%14.9 / 11.7
18Max Lopez '15Roger Williams University18/182.692.03−0.6671st → 53rd2.099%15.6 / 9.1
19Luke O'Connor '14Harvard University Crimson18/181.410.32−1.1034th → 11th6.999%17.9 / 12.7
20Luke Orchardo '16Northeastern University18/180.73-0.80−1.5317th → 1st8.897%18.4 / 14.6

Conditions — 09/22/2012 (8am–6pm)

☀️Clear sky
Humidity 73%  ·  Pressure 1013.0 hPa

Temperature

66°F
↑ 72°F   ↓ 58°F
Feels like 66°F

Wind

● from   ▲ toward
4.8 kn
avg  ·  max 7.8 kn
Gusts to 15.6 kn
From SSW (202°)

Sky & Precipitation

Cloud cover37% Sunshine7.4 hrs Humidity73% Pressure1013.0 hPa

What this breeze does at Boston College — from fleet racing

Breeze: S about 8 kn (weather reanalysis in the scorer’s units)
In fleet races at Boston College in this breeze: a strongly underdogs’ day (−0.11)
Underdogs’ conditions: in fleet racing here the fleet bunches up and lower-rated boats beat the seeds more often than usual.

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 ±0.11 means a rating gap counts about 10% less 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 Boston College by wind direction (angle) and speed (rings), fitted surface; dots are labelled regatta-days, ★ this regatta (29 labelled fleet-race days at Boston College).

From the notes

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

All notes →