MCSA Open Singlehanded Championship

SchoolSailor R1 R2 R3 R4 R5 R6 R7 R8 R9 R10 TOT
University of Chicago University of Chicago Max Zhalilo '26 2 5 1 1 1 2 2 1 1 2 18
Northwestern University Northwestern University Nicholas Chesemore '27 1 1 3 3 2 1 4 5 4 1 25
University of Michigan University of Michigan Alden Gort '26 5 3 4 2 3 3 3 2 2 3 30
University of Michigan University of Michigan Billy Vogel '25 4 2 2 4 4 4 1 3 3 4 31
Northwestern University Northwestern University Cole Abbott '26 3 4 5 5 5 5 5 4 6 5 47
Marquette University Marquette University Eli Erling '26 6 6 6 6 6 6 6 6 5 6 59

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 singlehanded rating rather than the fleet rating: 0.79 × the skipper's fleet rating from the week before the event (unrated skippers start at 1.11); the skipper's own singlehanded offset. Strength differences are scaled by 0.80 before they become probabilities, the value that calibrates the model on seasons it had not seen. Non-finishes (OCS, DNF and similar) are left out of the fitting, as in the rating model.

Percentile places a rating among the 309 ICSA sailors with a singlehanded 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 singlehanded 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  6 boats · 10 races

FinSkipperSchool Races Rating
before
Perf.
rating
Δ Percentile
before → perf.
Surprise
(bits)
P(this good
or better)
Avg finish
actual / exp.
1Max Zhalilo '26University of Chicago10/101.893.17+1.2848th → 84th3.18%1.8 / 3.0
2Nicholas Chesemore '27Northwestern University Wildcats 110/101.902.07+0.1748th → 53rd0.135%2.5 / 2.9
3Alden Gort '26University of Michigan Wolverines 210/101.381.92+0.5433rd → 48th0.834%3.0 / 3.4
4Billy Vogel '25University of Michigan Wolverines 110/101.831.62−0.2246th → 40th0.162%3.1 / 3.0
5Cole Abbott '26Northwestern University Wildcats 210/100.420.38−0.0412th → 12th0.074%4.7 / 4.2
6Eli Erling '26Marquette University10/10-0.07-2.81−2.745th → 1st6.9>99%5.9 / 4.6

Conditions — 09/14/2024 (8am–6pm)

☁️Overcast
Humidity 57%  ·  Pressure 1019.5 hPa

Temperature

79°F
↑ 83°F   ↓ 70°F
Feels like 80°F

Wind

● from   ▲ toward
6.7 kn
avg  ·  max 8.7 kn
Gusts to 16.7 kn
From E (91°)

Sky & Precipitation

Cloud cover49% Sunshine11.0 hrs Humidity57% Pressure1019.5 hPa

What this breeze does at Chicago — from fleet racing

Breeze: E about 9 kn (weather reanalysis in the scorer’s units)
In fleet races at Chicago in this breeze: a favourites’ day (+0.04)
Favourites’ conditions: in fleet racing here the results follow the ratings more closely than usual, and the top seeds hold their places.

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 ±0.04 means a rating gap counts about 4% more 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 Chicago by wind direction (angle) and speed (rings), fitted surface; dots are labelled regatta-days, ★ this regatta (only 1 labelled days at Chicago, so the surface is mostly the all-venue pattern).

From the notes

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

All notes →