MAISA Laser Elimination

SchoolSailor R1 R2 R3 R4 R5 R6 R7 R8 TOT
Old Dominion University Old Dominion University Jeremy Herrin '18 6 4 8 2 1 5 10 5 41
Georgetown University Georgetown University Jack Marshall '18 1 3 14 1 7 3 15 1 45
U. S. Naval Academy U. S. Naval Academy Peter Hogan '18 7 12 6 3 5 7 3 3 46
University of Pennsylvania University of Pennsylvania Keen Butcher '18 2 15 4 4 6 10 7 6 54
Georgetown University Georgetown University Clay Broussard '18 8 10 7 14 3 8 5 8 63
U. S. Naval Academy U. S. Naval Academy Philip Youngberg '15 4 2 3 6 16 15 8 11 65
Queen's University Queen's University Matthew Sherar '17 11 5 16 8 9 2 13 4 68
George Washington University George Washington University Daniel Delbello '17 3 9 2 18 10 11 9 10 72
Old Dominion University Old Dominion University Andrew Baird '18 15 1 15 10 2 14 2 13 72
Christopher Newport University Christopher Newport University Xander Van Beurden '18 14 6 17 7 11 1 4 14 74
Old Dominion University Old Dominion University Joseph David '16 5 8 11 OCS 13 16 1 2 77
Old Dominion University Old Dominion University Ethan Lounsbury '17 9 17 13 9 8 4 11 7 78
U. S. Merchant Marine Academy U. S. Merchant Marine Academy Ryan Wood '17 13 11 5 11 12 6 6 17 81
Queen's University Queen's University Matthew Reeves '15 18 7 1 12 14 12 14 19 97
Georgetown University Georgetown University John Labossiere '17 17 18 10 15 4 9 16 9 98
Cornell University Cornell University Daniel Birmingham '17 12 16 12 5 15 13 12 16 101
Hobart and William Smith Colleges Hobart and William Smith Colleges William Fortenbaugh '18 10 13 9 19 18 17 18 12 116
Hobart and William Smith Colleges Hobart and William Smith Colleges Chris Wilson '16 19 14 19 13 19 19 17 18 138
Hobart and William Smith Colleges Hobart and William Smith Colleges Sam Hallowell '16 16 20 18 17 20 18 19 15 143
U. S. Merchant Marine Academy U. S. Merchant Marine Academy Devin Keister '18 20 19 20 16 17 20 20 20 152

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 · 8 races

FinSkipperSchool Races Rating
before
Perf.
rating
Δ Percentile
before → perf.
Surprise
(bits)
P(this good
or better)
Avg finish
actual / exp.
1Jeremy Herrin '18Old Dominion University Monarchs 48/82.033.52+1.4953rd → 91st5.16%5.1 / 9.8
2Jack Marshall '18Georgetown University Hoyas 18/82.782.95+0.1775th → 81st0.122%5.6 / 7.6
3Peter Hogan '18U. S. Naval Academy Midshipmen 28/82.113.28+1.1855th → 86th3.48%5.8 / 9.5
4Keen Butcher '18University of Pennsylvania8/82.342.90+0.5660th → 78th0.922%6.8 / 8.9
5Clay Broussard '18Georgetown University Hoyas 28/82.132.63+0.5056th → 69th0.730%7.9 / 9.4
6Philip Youngberg '15U. S. Naval Academy Midshipmen 18/82.512.37−0.1464th → 61st0.152%8.1 / 8.3
7Matthew Sherar '17Queen's University Gaels 18/81.072.46+1.3925th → 62nd4.711%8.5 / 12.6
8Andrew Baird '18Old Dominion University Monarchs 28/82.162.14−0.0156th → 56th0.049%9.0 / 9.3
8Daniel Delbello '17George Washington University8/82.422.06−0.3662nd → 53rd0.458%9.0 / 8.6
10Xander Van Beurden '18Christopher Newport University8/81.792.12+0.3344th → 56th0.335%9.2 / 10.5
11Joseph David '16Old Dominion University Monarchs 18/82.442.46+0.0262nd → 62nd0.069%9.6 / 8.5
12Ethan Lounsbury '17Old Dominion University Monarchs 38/81.922.20+0.2848th → 58th0.246%9.8 / 10.1
13Ryan Wood '17U. S. Merchant Marine Academy Mariners 18/80.672.08+1.4117th → 54th4.88%10.1 / 13.8
14Matthew Reeves '15Queen's University Gaels 28/80.641.47+0.8317th → 37th1.829%12.1 / 13.8
15John Labossiere '17Georgetown University Hoyas 38/81.911.50−0.4148th → 38th0.674%12.2 / 10.1
16Daniel Birmingham '17Cornell University8/81.731.66−0.0743rd → 41st0.076%12.6 / 10.7
17William Fortenbaugh '18Hobart and William Smith Colleges Statesmen 38/81.12u1.02−0.1025th → 23rd0.073%14.5 / 12.4
18Chris Wilson '16Hobart and William Smith Colleges Statesmen 18/81.550.43−1.1138th → 13th4.999%17.2 / 11.2
19Sam Hallowell '16Hobart and William Smith Colleges Statesmen 28/81.08u0.16−0.9325th → 9th2.697%17.9 / 12.6
20Devin Keister '18U. S. Merchant Marine Academy Mariners 28/81.22-1.10−2.3229th → 1st12.4>99%19.0 / 12.2

Conditions — 09/27/2014 (8am–6pm)

☀️Clear sky
Humidity 63%  ·  Pressure 1023.1 hPa

Temperature

71°F
↑ 77°F   ↓ 60°F
Feels like 73°F

Wind

● from   ▲ toward
3.9 kn
avg  ·  max 6.6 kn
Gusts to 12.6 kn
From NNE (30°)

Sky & Precipitation

Cloud cover0% Sunshine10.9 hrs Humidity63% Pressure1023.1 hPa

What this breeze does at Navy — from fleet racing

Breeze: NE about 7 kn (weather reanalysis in the scorer’s units)
In fleet races at Navy in this breeze: an underdogs’ day (−0.02)
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 ±0.02 means a rating gap counts about 2% 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 Navy by wind direction (angle) and speed (rings), fitted surface; dots are labelled regatta-days, ★ this regatta (114 labelled fleet-race days at Navy).

From the notes

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

All notes →