Laser North

SchoolSailor R1 R2 R3 R4 R5 R6 R7 R8 R9 R10 R11 R12 R13 R14 R15 TOT
Queen's University Queen's University John Machum '17 1 BKD 1 1 3 2 1 1 7 1 8 1 2 6 4 42
SUNY Maritime College SUNY Maritime College Nick Valente '16 5 10 3 2 1 13 2 3 1 2 5 4 4 2 7 64
U. S. Merchant Marine Academy U. S. Merchant Marine Academy Austin Neuman '16 2 4 2 10 10 7 5 10 5 4 4 12 13 1 2 91
SUNY Maritime College SUNY Maritime College Zachary Hill '18 16 2 7 4 7 6 8 9 6 18 1 3 3 7 3 100
Hobart and William Smith Colleges Hobart and William Smith Colleges Connor Swikart '18 4 1 15 3 19 9 4 7 3 3 9 7 6 3 14 107
Fordham University Fordham University Will Holz '17 8 11 6 5 5 8 7 12 OCS 7 3 5 5 4 1 108
Queen's University Queen's University Matthew Sherar '17 12 12 5 6 2 3 6 2 OCS 6 7 14 1 8 6 111
University of Pennsylvania University of Pennsylvania Keen Butcher '18 6 8 8 9 8 4 3 6 OCS 11 6 10 7 5 5 117
Cornell University Cornell University Daniel Birmingham '17 3 9 4 15 4 5 16 5 2 5 16 6 10 13 9 122
Cornell University Cornell University Matthew Schofield '17 9 14 16 14 6 1 9 4 OCS 10 2 2 8 9 12 137
Hobart and William Smith Colleges Hobart and William Smith Colleges Chris Wilson '16 10 18 9 7 9 11 13 8 4 9 12 11 9 18 8 156
U. S. Merchant Marine Academy U. S. Merchant Marine Academy Ryan Wood '17 11 6 13 16 12 15 11 13 15 14 13 8 16 10 10 183
Hobart and William Smith Colleges Hobart and William Smith Colleges Sam Hallowell '16 7 16 11 8 16 12 10 11 10 15 15 19 15 17 18 200
Fordham University Fordham University Anders Ekholm '17 17 15 19 12 11 14 12 14 12 8 18 17 14 12 15 210
Cornell University Cornell University Philippe Williamson '16 19 3 10 11 15 16 BKD 19 13 12 19 15 12 16 19 213
SUNY Stony Brook SUNY Stony Brook Constantine Spentzos '17 14 13 18 20 18 19 14 20 9 13 14 9 11 11 11 214
U. S. Merchant Marine Academy U. S. Merchant Marine Academy Devin Keister '18 13 5 17 18 14 17 17 17 11 16 11 13 18 14 17 218
Syracuse University Syracuse University Nicholas Woviotis '15 15 17 14 13 13 18 19 15 8 17 10 18 17 15 13 222
SUNY Maritime College SUNY Maritime College James Keegan '16 18 7 12 17 17 10 15 18 14 20 20 16 19 19 16 238
SUNY Stony Brook SUNY Stony Brook Cody Murphy '17 20 19 20 19 20 20 18 16 16 19 17 20 20 20 20 284

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  20 boats · 15 races

FinSkipperSchool Races Rating
before
Perf.
rating
Δ Percentile
before → perf.
Surprise
(bits)
P(this good
or better)
Avg finish
actual / exp.
1John Machum '17Queen's University Gaels 115/151.454.23+2.7736th → 98th22.71%4.0 / 10.3
2Nick Valente '16SUNY Maritime College Privateers 115/152.723.34+0.6272nd → 89th1.89%4.3 / 6.8
3Austin Neuman '16U. S. Merchant Marine Academy Mariners 115/151.842.68+0.8446th → 71st3.48%6.1 / 9.2
4Zachary Hill '18SUNY Maritime College Privateers 315/152.652.19−0.4670th → 58th1.247%6.7 / 7.0
5Connor Swikart '18Hobart and William Smith Colleges Statesmen 315/151.852.07+0.2246th → 53rd0.218%7.1 / 9.2
6Will Holz '17Fordham University Rams 215/152.312.79+0.4860th → 75th1.140%7.2 / 7.9
7Matthew Sherar '17Queen's University Gaels 215/151.072.67+1.6025th → 71st10.27%7.4 / 11.5
8Keen Butcher '18University of Pennsylvania15/152.342.63+0.2960th → 69th0.455%7.8 / 7.7
9Daniel Birmingham '17Cornell University Big Red 215/151.731.93+0.2043rd → 49th0.228%8.1 / 9.5
10Matthew Schofield '17Cornell University Big Red 115/152.232.01−0.2358th → 52nd0.367%9.1 / 8.1
11Chris Wilson '16Hobart and William Smith Colleges Statesmen 215/151.551.44−0.1138th → 35th0.158%10.4 / 10.0
12Ryan Wood '17U. S. Merchant Marine Academy Mariners 215/150.671.17+0.5017th → 27th1.343%12.2 / 12.6
13Sam Hallowell '16Hobart and William Smith Colleges Statesmen 115/151.08u0.82−0.2725th → 18th0.475%13.3 / 11.4
14Anders Ekholm '17Fordham University Rams 115/151.690.68−1.0142nd → 17th7.394%14.0 / 9.8
15Constantine Spentzos '17SUNY Stony Brook Seawolves 215/150.600.38−0.2315th → 12th0.370%14.3 / 12.8
16Devin Keister '18U. S. Merchant Marine Academy Mariners 315/151.220.55−0.6729th → 15th3.194%14.5 / 11.1
17Philippe Williamson '16Cornell University Big Red 315/150.350.49+0.1411th → 14th0.167%14.7 / 13.4
18Nicholas Woviotis '15Syracuse University15/15-0.040.56+0.606th → 15th1.853%14.8 / 14.4
19James Keegan '16SUNY Maritime College Privateers 215/150.88-0.06−0.9421st → 5th5.393%15.9 / 12.0
20Cody Murphy '17SUNY Stony Brook Seawolves 115/15-0.55-1.74−1.192nd → 1st4.197%18.9 / 15.5

Conditions — 09/13/2014 (8am–6pm)

☁️Overcast
Humidity 75%  ·  Pressure 1020.7 hPa

Temperature

66°F
↑ 68°F   ↓ 64°F
Feels like 64°F

Wind

● from   ▲ toward
8.4 kn
avg  ·  max 11.4 kn
Gusts to 22.2 kn
From E (98°)

Sky & Precipitation

Cloud cover97% Sunshine1.3 hrs Humidity75% Pressure1020.7 hPa Rain0.32 in

What this breeze does at Kings Point — from fleet racing

Breeze: E about 11 kn (weather reanalysis in the scorer’s units)
In fleet races at Kings Point in this breeze: a typical day (+0.02)
Nothing in this breeze favours either side in fleet racing here: results follow the ratings about as 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 ±0.02 means a rating gap counts about 2% 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 Kings Point by wind direction (angle) and speed (rings), fitted surface; dots are labelled regatta-days, ★ this regatta (80 labelled fleet-race days at Kings Point).

From the notes

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

All notes →