Laser South

SchoolSailor R1 R2 R3 R4 R5 R6 R7 R8 R9 R10 R11 R12 TOT
St. Mary's College of Maryland St. Mary's College of Maryland Leo Boucher '22 1 2 1 4 5 3 2 1 3 1 3 1 27
Georgetown University Georgetown University Thomas Mccann '22 3 1 2 5 1 4 1 5 1 3 1 2 29
Christopher Newport University Christopher Newport University Vir Menon '20 2 4 5 8 3 6 3 4 5 7 4 5 56
U. S. Naval Academy U. S. Naval Academy Connor Bayless '21 4 3 3 1 13 15 6 6 2 6 5 3 67
George Washington University George Washington University Adam Didomizio '19 8 6 6 6 8 8 4 2 4 2 7 6 67
George Washington University George Washington University Cameron Feves '22 6 11 10 2 4 7 8 7 7 4 2 4 72
George Washington University George Washington University Soenke Jordan '21 9 13 11 3 2 5 7 3 6 5 10 7 81
St. Mary's College of Maryland St. Mary's College of Maryland Liam Mccarthy '19 BKD 5 4 7 7 1 11 10 10 8 9 10 89
George Washington University George Washington University Michael Ehnot '22 7 8 8 10 14 2 5 8 9 11 11 9 102
U. S. Naval Academy U. S. Naval Academy Tyler Fleig '19 10 10 7 9 9 11 15 9 8 9 6 8 111
Georgetown University Georgetown University John Patrick Panarella '22 15 17 12 14 6 9 9 16 11 12 8 13 142
Hampton University Hampton University Filip Stevanovic '20 5 7 17 12 10 16 13 11 12 10 12 DNF 146
Christopher Newport University Christopher Newport University Luke Hayes '22 11 9 15 15 19 13 12 12 13 13 13 14 159
U. S. Naval Academy U. S. Naval Academy Louis Margay '22 17 14 9 11 17 10 14 15 18 14 15 11 165
Old Dominion University Old Dominion University John Glenn '22 BKD 15 19 18 11 12 16 14 17 16 14 12 179
Old Dominion University Old Dominion University Dreugh Phillips '21 18 16 14 16 18 18 10 13 16 15 16 DNF 191
Washington College Washington College Paul Hart '19 16 18 13 13 15 19 19 17 14 17 17 15 193
Georgetown University Georgetown University Preston Tso '21 12 12 16 19 12 17 17 DNF 15 18 18 DNF 198
Christopher Newport University Christopher Newport University Bailey Hurst '20 14 19 18 17 16 14 18 DNF DNS DNS DNS DNS 221
University of Virginia University of Virginia Caleb Flowers '22 DNS DNF DNF DNF 20 DNF DNS DNF DNS DNS DNS DNS 251

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.
  • — in the performance column: last in every race sailed, so no finite least-surprisal rating exists.

Division A  20 boats · 12 races

FinSkipperSchool Races Rating
before
Perf.
rating
Δ Percentile
before → perf.
Surprise
(bits)
P(this good
or better)
Avg finish
actual / exp.
1Leo Boucher '22St. Mary's College of Maryland Seahawks 112/124.125.39+1.2796th → 99th4.62%2.2 / 5.0
2Thomas Mccann '22Georgetown University Hoyas 312/123.445.25+1.8089th → 99th9.0<1%2.4 / 6.6
3Vir Menon '20Christopher Newport University Captains 112/122.583.93+1.3467th → 95th6.32%4.7 / 9.0
4Adam Didomizio '19George Washington University Colonials 112/122.583.52+0.9567th → 91st3.46%5.6 / 9.0
4Connor Bayless '21U. S. Naval Academy Midshipmen 212/122.703.24+0.5472nd → 85th1.19%5.6 / 8.6
6Cameron Feves '22George Washington University Colonials 312/122.713.30+0.6072nd → 87th1.413%6.0 / 8.6
7Soenke Jordan '21George Washington University Colonials 212/122.742.95+0.2073rd → 81st0.224%6.8 / 8.5
8Michael Ehnot '22George Washington University Colonials 412/122.162.54+0.3857th → 66th0.623%8.5 / 10.2
9Liam Mccarthy '19St. Mary's College of Maryland Seahawks 212/122.912.72−0.1879th → 72nd0.161%8.6 / 8.1
10Tyler Fleig '19U. S. Naval Academy Midshipmen 112/122.002.41+0.4152nd → 61st0.726%9.2 / 10.8
11John Patrick Panarella '22Georgetown University Hoyas 112/121.691.45−0.2442nd → 35th0.356%11.8 / 11.5
12Filip Stevanovic '20Hampton University12/122.051.76−0.2953rd → 43rd0.476%12.2 / 10.5
13Luke Hayes '22Christopher Newport University Captains 312/121.041.29+0.2524th → 30th0.347%13.2 / 13.4
14Louis Margay '22U. S. Naval Academy Midshipmen 312/121.021.02−0.0123rd → 23rd0.054%13.8 / 13.5
15John Glenn '22Old Dominion University Monarchs 212/121.160.72−0.4326th → 17th0.884%15.4 / 13.2
16Dreugh Phillips '21Old Dominion University Monarchs 112/121.410.62−0.7934th → 16th3.090%15.9 / 12.3
17Paul Hart '19Washington College12/121.19-0.01−1.2028th → 6th6.286%16.1 / 13.0
18Preston Tso '21Georgetown University Hoyas 212/121.550.21−1.3539th → 9th7.094%16.5 / 12.1
19Bailey Hurst '20Christopher Newport University Captains 212/121.210.39−0.8229th → 12th2.099%18.4 / 12.8
20Caleb Flowers '22University of Virginia12/121.08u——25th → —3.4>99%20.9 / 13.3

Conditions — 09/08/2018 (8am–6pm)

🌦️Dense drizzle
Humidity 97%  ·  Pressure 1017.4 hPa

Temperature

70°F
↑ 73°F   ↓ 66°F
Feels like 72°F

Wind

● from   ▲ toward
9.2 kn
avg  ·  max 12.1 kn
Gusts to 25.9 kn
From NNE (32°)

Sky & Precipitation

Cloud cover97% Sunshine0.9 hrs Humidity97% Pressure1017.4 hPa Rain0.40 in

What this breeze does at Navy — from fleet racing

Breeze: NE about 11 kn (weather reanalysis in the scorer’s units)
In fleet races at Navy 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% 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 →