NEISA Match Race Championship

# SchoolTeam A TOT
1 Brown University Brown University Bears 3 3
2 U. S. Coast Guard Academy U. S. Coast Guard Academy Bears 6 6
3 Yale University Yale University Bulldogs 9 9
4 Tufts University Tufts University Jumbos 12 12
5 Boston College Boston College Eagles 15 15
6 Maine Maritime Academy Maine Maritime Academy Mariners 18 18
7 Bowdoin College Bowdoin College Polar Bears 21 21
8 Massachusetts Maritime Academy Massachusetts Maritime Academy Buccaneers 24 24
SchoolTeam R1 R2 R3 TOT
Brown University Brown University Bears 1 1 1 3
U. S. Coast Guard Academy U. S. Coast Guard Academy Bears 2 2 2 6
Yale University Yale University Bulldogs 3 3 3 9
Tufts University Tufts University Jumbos 4 4 4 12
Boston College Boston College Eagles 5 5 5 15
Maine Maritime Academy Maine Maritime Academy Mariners 6 6 6 18
Bowdoin College Bowdoin College Polar Bears 7 7 7 21
Massachusetts Maritime Academy Massachusetts Maritime Academy Buccaneers 8 8 8 24
School Team Sailors
Boston College Boston College Eagles SkipperMichael Kirkman '25
CrewPeter Joslin '26
CrewPeter Busch '26
CrewSophia Hacket '25
Bowdoin College Bowdoin College Polar Bears SkipperThibault Antonietti '24
CrewIsabelle Tsuchitori '26
CrewEthan Danielson '26
CrewKique Ruiz '26
Brown University Brown University Bears SkipperLiam O'Keefe '26
CrewCharlotte Costikyan '24
CrewCam Spriggs '27
CrewGuthrie Braun '26
Maine Maritime Academy Maine Maritime Academy Mariners SkipperZachary York '24
CrewRobert Jacobs '23
CrewJonah Beasley '26
CrewSarah Shank '26
ReserveDrake Reid '27
Massachusetts Maritime Academy Massachusetts Maritime Academy Buccaneers SkipperAndy Leshaw '25
CrewLuke Kenahan '27
CrewJohn Van Zanten '25
CrewMallory Dietsch '27
ReserveZach Earnshaw '27
Tufts University Tufts University Jumbos SkipperTrevor Davis '24
CrewMaisie MacGillivray '25
CrewJack Flores '25
CrewMatthew Caplan '25
U. S. Coast Guard Academy U. S. Coast Guard Academy Bears SkipperDaniel Unangst '24
CrewCharles Pohl '26
CrewJack Derry '25
CrewLaura Slovensky '25
Yale University Yale University Bulldogs SkipperMorgan Pinckney '27
CrewNicholas Davies '24
CrewMegan Grimes '24
CrewNathan Sih '25

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 · 3 races

FinSkipperSchool Races Rating
before
Perf.
rating
Δ Percentile
before → perf.
Surprise
(bits)
P(this good
or better)
Avg finish
actual / exp.
1Liam O'Keefe '26Brown University3/33.237.00++3.7799th → 99th6.12%1.0 / 3.4
2Daniel Unangst '24U. S. Coast Guard Academy3/33.174.31+1.1399th → 99th1.320%2.0 / 3.4
3Morgan Pinckney '27Yale University3/33.023.44+0.4199th → 99th0.240%3.0 / 3.7
4Trevor Davis '24Tufts University3/32.102.99+0.8999th → 99th1.131%4.0 / 4.9
5Michael Kirkman '25Boston College3/32.812.25−0.5699th → 99th0.680%5.0 / 4.0
6Zachary York '24Maine Maritime Academy3/31.452.03+0.5789th → 99th0.556%6.0 / 5.8
7Thibault Antonietti '24Bowdoin College3/32.320.95−1.3799th → 72nd3.496%7.0 / 4.6
8Andy Leshaw '25Massachusetts Maritime Academy3/31.11——77th → —3.2>99%8.0 / 6.2

Conditions — 10/14/2023 (8am–6pm)

☀️Clear sky
Humidity 58%  ·  Pressure 1005.7 hPa

Temperature

57°F
↑ 61°F   ↓ 48°F
Feels like 52°F

Wind

● from   ▲ toward
7.1 kn
avg  ·  max 8.7 kn
Gusts to 19.8 kn
From NW (306°)

Sky & Precipitation

Cloud cover49% Sunshine10.2 hrs Humidity58% Pressure1005.7 hPa

What this breeze does at Bowdoin — from fleet racing

Breeze: NW about 9 kn (weather reanalysis in the scorer’s units)
In fleet races at Bowdoin 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 Bowdoin by wind direction (angle) and speed (rings), fitted surface; dots are labelled regatta-days, ★ this regatta (33 labelled fleet-race days at Bowdoin).

From the notes

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

All notes →