J-70 Invitational #2

# SchoolTeam A TOT
1 University of Rhode Island University of Rhode Island Rams 48 48
2 U. S. Coast Guard Academy U. S. Coast Guard Academy Bears 48 48
3 Webb Institute Webb Institute Clippers 57 57
4 Connecticut College Connecticut College Camels 62 62
5 SUNY Maritime College SUNY Maritime College Privateers 65 65
6 Georgia Institute of Technology Georgia Institute of Technology Yellow Jackets 67 67
7 Tufts University Tufts University Jumbos 94 94
8 U. S. Naval Academy U. S. Naval Academy Midshipmen 99 99
SchoolTeam R1 R2 R3 R4 R5 R6 R7 R8 R9 R10 R11 R12 R13 R14 R15 TOT
University of Rhode Island University of Rhode Island Rams 2 1 4 4 5 2 3 1 1 3 1 2 7 6 6 48
U. S. Coast Guard Academy U. S. Coast Guard Academy Bears 3 5 3 3 3 3 1 2 2 6 5 5 2 1 4 48
Webb Institute Webb Institute Clippers 1 2 2 2 6 4 2 8 3 2 2 4 6 5 8 57
Connecticut College Connecticut College Camels 6 3 7 1 2 5 8 6 5 5 3 1 3 2 5 62
SUNY Maritime College SUNY Maritime College Privateers 7 4 1 6 1 6 4 3 7 4 6 7 5 3 1 65
Georgia Institute of Technology Georgia Institute of Technology Yellow Jackets 4 8 5 5 7 1 7 4 8 1 4 3 1 7 2 67
Tufts University Tufts University Jumbos 5 6 8 7 8 7 5 7 6 8 8 8 4 4 3 94
U. S. Naval Academy U. S. Naval Academy Midshipmen 8 7 6 8 4 8 6 5 4 7 7 6 8 8 7 99
School Team Sailors
Connecticut College Connecticut College Camels SkipperCharles Bresnahan '24
CrewRuth Reischmann '23
CrewAndrew Powers '24
CrewWade Anthony '24
Georgia Institute of Technology Georgia Institute of Technology Yellow Jackets SkipperKyle Meyhoefer '21
CrewMatthew Simpson '23
CrewCole Woerner '22
CrewIsabelle Pobanz '23
SUNY Maritime College SUNY Maritime College Privateers SkipperAlexander Wise '24
CrewCarianne Sconzo '24
CrewSean Fogarty '24
CrewWesley Pase '23
Tufts University Tufts University Jumbos SkipperMatthew Caplan '25
CrewAdam Larzelere '25
CrewDevin Hart '23
CrewEge Ozgul '23
U. S. Coast Guard Academy U. S. Coast Guard Academy Bears SkipperKurt Biedermann '23
CrewAndrew Nichols '25
CrewMerrill Cline '22
CrewLiam Long '22
U. S. Naval Academy U. S. Naval Academy Midshipmen SkipperRobert Foley '22
CrewJoey Zaladonis '23
CrewRowan Suarez '24
CrewKelly White '22
University of Rhode Island University of Rhode Island Rams SkipperWilliam McKeige '22
CrewRyan Palardy '22
CrewNicholas Kozaritz '22
CrewMegan Gimple '22
Webb Institute Webb Institute Clippers SkipperEvan Spalding '24 [1-8]
SkipperZachary Doerr '24 [9-15]
CrewAnna Lindberg '25
CrewPayne Donaldson '24
CrewAbner Mills '24 [1-8]

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.

  • u no fleet rating — the model's level for unrated skippers is the baseline.

Division A  8 boats · 15 races

FinSkipperSchool Races Rating
before
Perf.
rating
Δ Percentile
before → perf.
Surprise
(bits)
P(this good
or better)
Avg finish
actual / exp.
1Kurt Biedermann '23U. S. Coast Guard Academy15/151.55u1.99+0.4491st → 99th1.430%3.2 / 3.8
1William McKeige '22University of Rhode Island15/151.26u1.99+0.7485th → 99th3.519%3.2 / 4.2
3Evan Spalding '24Webb Institute Clippers8/151.641.55−0.0993rd → 91st0.044%3.4 / 3.7
3Zachary Doerr '24Webb Institute Clippers7/151.40u1.35−0.0588th → 87th0.062%4.3 / 4.0
4Charles Bresnahan '24Connecticut College15/151.121.39+0.2778th → 88th0.542%4.1 / 4.4
5Alexander Wise '24SUNY Maritime College15/150.53u1.40+0.8750th → 88th5.018%4.3 / 5.3
6Kyle Meyhoefer '21Georgia Institute of Technology15/150.411.17+0.7643rd → 79th3.420%4.5 / 5.4
7Matthew Caplan '25Tufts University15/150.510.38−0.1350th → 42nd0.182%6.3 / 5.3
8Robert Foley '22U. S. Naval Academy15/151.67u-0.08−1.7594th → 13th26.4>99%6.6 / 3.7

Conditions — 03/26/2022 (8am–6pm)

☁️Overcast
Humidity 60%  ·  Pressure 996.7 hPa

Temperature

49°F
↑ 52°F   ↓ 44°F
Feels like 42°F

Wind

● from   ▲ toward
7.9 kn
avg  ·  max 10.5 kn
Gusts to 25.5 kn
From SW (230°)

Sky & Precipitation

Cloud cover59% Sunshine10.0 hrs Humidity60% Pressure996.7 hPa

What this breeze does at Coast Guard — from fleet racing

Breeze: SW about 10 kn (weather reanalysis in the scorer’s units)
In fleet races at Coast Guard in this breeze: an underdogs’ day (−0.03)
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 ±0.03 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 Coast Guard by wind direction (angle) and speed (rings), fitted surface; dots are labelled regatta-days, ★ this regatta (57 labelled fleet-race days at Coast Guard).

From the notes

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

All notes →