Intrepid Trophy - MAISA Match Race

# SchoolTeam A TOT
1 Georgetown University Georgetown University Hoyas 1 1
2 U. S. Naval Academy U. S. Naval Academy Midshipmen 2 2
3 Hobart and William Smith Colleges Hobart and William Smith Colleges Statesmen 3 3
4 SUNY Maritime College SUNY Maritime College Privateers 4 4
5 Fordham University Fordham University Rams 5 5
SchoolTeam R1 TOT
Georgetown University Georgetown University Hoyas 1 1
U. S. Naval Academy U. S. Naval Academy Midshipmen 2 2
Hobart and William Smith Colleges Hobart and William Smith Colleges Statesmen 3 3
SUNY Maritime College SUNY Maritime College Privateers 4 4
Fordham University Fordham University Rams 5 5

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  5 boats · 1 races

FinSkipperSchool Races Rating
before
Perf.
rating
Δ Percentile
before → perf.
Surprise
(bits)
P(this good
or better)
Avg finish
actual / exp.
1Jeffrey Petersen '25Georgetown University1/12.657.00++4.3599th → 99th2.223%1.0 / 2.7
2Nathan Smith '26U. S. Naval Academy1/13.653.14−0.5199th → 99th0.174%2.0 / 1.9
3Nicholas Sessions '24Hobart and William Smith Colleges1/12.032.62+0.5999th → 99th0.155%3.0 / 3.2
4Marcus Adam '23SUNY Maritime College1/11.391.74+0.3588th → 94th0.162%4.0 / 3.7
5Connor Bennett '26Fordham University1/11.68——94th → —2.0>99%5.0 / 3.5

Conditions — 09/23/2023 (8am–6pm)

🌦️Light drizzle
Humidity 90%  ·  Pressure 1012.4 hPa

Temperature

63°F
↑ 66°F   ↓ 59°F
Feels like 58°F

Wind

● from   ▲ toward
17.6 kn
avg  ·  max 19.7 kn
Gusts to 41.6 kn
From NE (39°)

Sky & Precipitation

Cloud cover100% Sunshine0.0 hrs Humidity90% Pressure1012.4 hPa Rain0.59 in

What this breeze does at Navy — from fleet racing

Breeze: NE about 18 kn (weather reanalysis in the scorer’s units)
In fleet races at Navy in this breeze: a typical day (−0.01)
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 ±0.01 means a rating gap counts about 1% 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 →