2023 MCSA Match Race Championship

# SchoolTeam A TOT
1 University of Chicago University of Chicago Maroons 1 1
2 University of Saint Thomas University of Saint Thomas Tommies 2 2
3 University of Wisconsin University of Wisconsin Badgers 3 3
4 Ohio State University Ohio State University Buckeyes 4 4
5 Indiana University Indiana University Hoosiers 5 5
SchoolTeam R1 TOT
University of Chicago University of Chicago Maroons 1 1
University of Saint Thomas University of Saint Thomas Tommies 2 2
University of Wisconsin University of Wisconsin Badgers 3 3
Ohio State University Ohio State University Buckeyes 4 4
Indiana University Indiana University Hoosiers 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.

  • u no fleet rating — the model's level for unrated skippers is the baseline.
  • — 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.
1Max Zhalilo '26University of Chicago1/11.197.00++5.8181st → 99th1.927%1.0 / 2.5
2Rachel Bartel '24University of Saint Thomas1/11.651.63−0.0293rd → 93rd0.065%2.0 / 2.2
3Benjamin Weinstein '23University of Wisconsin1/10.66u0.85+0.2057th → 68th0.062%3.0 / 3.0
4Nadia Reynolds '24Ohio State University1/10.30-0.31−0.6139th → 5th0.280%4.0 / 3.3
5Julia Grumbling '26Indiana University1/1-0.77——1st → —0.7>99%5.0 / 4.1

Conditions — 10/14/2023 (8am–6pm)

☁️Overcast
Humidity 76%  ·  Pressure 1016.3 hPa

Temperature

52°F
↑ 55°F   ↓ 49°F
Feels like 44°F

Wind

● from   ▲ toward
12.8 kn
avg  ·  max 15.0 kn
Gusts to 29.7 kn
From NNE (27°)

Sky & Precipitation

Cloud cover97% Sunshine1.5 hrs Humidity76% Pressure1016.3 hPa Rain0.12 in

What this breeze does at Wisconsin — from fleet racing

Breeze: NE about 14 kn (weather reanalysis in the scorer’s units)
In fleet races at Wisconsin in this breeze: a strongly favourites’ day (+0.26)
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 ±0.26 means a rating gap counts about 22% 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 Wisconsin by wind direction (angle) and speed (rings), fitted surface; dots are labelled regatta-days, ★ this regatta (41 labelled fleet-race days at Wisconsin).

From the notes

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

All notes →