NEISA Match Race Championships

# SchoolTeam A TOT
1 Boston College Boston College Eagles 1 1
2 Bowdoin College Bowdoin College Polar Bears 2 2
3 Connecticut College Connecticut College Camels 3 3
4 Brown University Brown University Bears 4 4
5 Massachusetts Institute of Technology Massachusetts Institute of Technology Engineers 5 5
6 University of Rhode Island University of Rhode Island Rams 6 6
7 Roger Williams University Roger Williams University Hawks 7 7
8 Northeastern University Northeastern University Huskies 8 8
SchoolTeam R1 TOT
Boston College Boston College Eagles 1 1
Bowdoin College Bowdoin College Polar Bears 2 2
Connecticut College Connecticut College Camels 3 3
Brown University Brown University Bears 4 4
Massachusetts Institute of Technology Massachusetts Institute of Technology Engineers 5 5
University of Rhode Island University of Rhode Island Rams 6 6
Roger Williams University Roger Williams University Hawks 7 7
Northeastern University Northeastern University Huskies 8 8

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 keelboat rating rather than the fleet rating: 0.41 × the skipper's fleet rating from the week before the event (unrated skippers start at 0.47); 0.28 × the mean fleet rating of the rated crew aboard; the skipper's own keelboat offset; the school's program effect. Non-finishes (OCS, DNF and similar) are left out of the fitting, as in the rating model.

Percentile places a rating among the 207 ICSA sailors with a keelboat 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 keelboat 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.

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

Division A  8 boats · 1 races

FinSkipperSchool Races Rating
before
Perf.
rating
Δ Percentile
before → perf.
Surprise
(bits)
P(this good
or better)
Avg finish
actual / exp.
1Charles Sinks '18Boston College1/12.867.00++4.1499th → 99th2.122%1.0 / 3.5
2William Hawk '18Bowdoin College1/12.364.12+1.7699th → 99th1.025%2.0 / 4.4
3Hugh MacGillivray '18Connecticut College1/12.083.35+1.2699th → 99th0.632%3.0 / 4.8
4Patrick Shanahan '19Brown University1/12.752.66−0.1099th → 99th0.064%4.0 / 3.8
5Cutter O'Connell '18Massachusetts Institute of Technology1/11.992.35+0.3699th → 99th0.156%5.0 / 4.9
6Brendan Read '19University of Rhode Island1/12.131.86−0.2799th → 97th0.073%6.0 / 4.7
7Mackenzie Bryan '18Roger Williams University1/12.231.20−1.0399th → 81st0.788%7.0 / 4.5
8Jackson Hamilton '19Northeastern University1/11.58——91st → —1.7>99%8.0 / 5.5

Conditions — 10/14/2017 (8am–6pm)

☁️Overcast
Humidity 85%  ·  Pressure 1023.5 hPa

Temperature

63°F
↑ 67°F   ↓ 57°F
Feels like 65°F

Wind

● from   ▲ toward
2.1 kn
avg  ·  max 3.6 kn
Gusts to 7.6 kn
From S (189°)

Sky & Precipitation

Cloud cover95% Sunshine4.1 hrs Humidity85% Pressure1023.5 hPa Rain0.06 in

What this breeze does at MIT — from fleet racing

Breeze: S about 5 kn (weather reanalysis in the scorer’s units)
In fleet races at MIT in this breeze: an underdogs’ day (−0.08)
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 ±0.08 means a rating gap counts about 7% 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 MIT by wind direction (angle) and speed (rings), fitted surface; dots are labelled regatta-days, ★ this regatta (112 labelled fleet-race days at MIT).

From the notes

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

All notes →