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Simulated results — this week

Monte Carlo race simulations built on the predicted lineups — win probability and average finish, not just a single guessed winner.

How this is built: for each regatta, every school's predicted skipper(s) and their current Plackett–Luce rating are pulled from the lineup predictions. Each simulated race perturbs every skipper's rating with independent Gumbel(0,1) noise and sorts descending — the Gumbel–max trick, which produces an exact draw from the Plackett–Luce distribution those ratings were originally fit under, so the simulation uses the same generative model as the ratings themselves, not a separate approximation. Each school's team score in a simulated race is the sum of its skippers' finishing positions (standard low‑point team scoring: lower wins). Repeated 5,000 times per regatta; win / top‑3 / average‑rank are the fraction of simulations each school actually won, placed top 3, or its mean finishing rank across all of them.
Singlehanded and keelboat regattas use ratings fitted to those disciplines (the sailor's main rating plus their own results; for keelboats also the crew aboard and the school's keelboat program), calibrated on seasons the model had not seen. A singlehanded school is its sailors, one per boat; a keelboat school is one boat per crew of the size that event used before. See the singlehanded and keelboat selectors on the Power Rankings.

Every regatta this week

Rose Bowl
USC · 01/02/2027 · 2 schools · 5,000 simulations
SchoolWin %Top 3 %Avg. rank
1Boston College86%100%1.1
2U. S. Coast Guard Academy14%100%1.9
ICSA Match Race National Championship
Southern Cal · 11/14/2026 · Keelboat · 2 schools · 5,000 simulations
SchoolWin %Top 3 %Avg. rank
1College of Charleston87%100%1.1
2University of South Florida13%100%1.9
Tufts Sailing Alumni Team Race
Tufts · 11/14/2026

Not enough predicted schools to simulate.