NEISA Match Race Championship, Larry White Trophy

# SchoolTeam A TOT
1 Tufts University Tufts University Jumbos 1 1
2 Bowdoin College Bowdoin College Polar Bears 2 2
3 Brown University Brown University Bears 3 3
4 University of Rhode Island University of Rhode Island Rams 4 4
5 Boston University Boston University Terriers 5 5
6 Roger Williams University Roger Williams University Hawks 6 6
7 Connecticut College Connecticut College Camels 7 7
8 Northeastern University Northeastern University Huskies 8 8
SchoolTeam R1 TOT
Tufts University Tufts University Jumbos 1 1
Bowdoin College Bowdoin College Polar Bears 2 2
Brown University Brown University Bears 3 3
University of Rhode Island University of Rhode Island Rams 4 4
Boston University Boston University Terriers 5 5
Roger Williams University Roger Williams University Hawks 6 6
Connecticut College Connecticut College Camels 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.

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.
1Ansgar Jordan '22Tufts University1/12.147.00++4.8699th → 99th3.012%1.0 / 4.4
3Jack Murphy '22Brown University1/12.553.22+0.6799th → 99th0.244%3.0 / 4.0
4Zachary Champney '22University of Rhode Island1/11.732.82+1.0994th → 99th0.537%4.0 / 5.2
6David Wood '23Roger Williams University1/12.241.93−0.3199th → 98th0.178%6.0 / 4.5

Conditions — 10/12/2019 (8am–6pm)

☁️Overcast
Humidity 71%  ·  Pressure 1013.7 hPa

Temperature

59°F
↑ 63°F   ↓ 53°F
Feels like 56°F

Wind

● from   ▲ toward
7.0 kn
avg  ·  max 11.1 kn
Gusts to 25.5 kn
From NNE (16°)

Sky & Precipitation

Cloud cover93% Sunshine7.6 hrs Humidity71% Pressure1013.7 hPa

What this breeze does at Connecticut College — from fleet racing

Breeze: N about 9 kn (weather reanalysis in the scorer’s units)
In fleet races at Connecticut College in this breeze: a strongly underdogs’ day (−0.10)
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 ±0.10 means a rating gap counts about 9% 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 Connecticut College by wind direction (angle) and speed (rings), fitted surface; dots are labelled regatta-days, ★ this regatta (51 labelled fleet-race days at Connecticut College).

From the notes

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

All notes →