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#11
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![]() Quote:
Let P(A) = team A's true win% Let P(B) = team B's true win% Let P(A,B) = the probability of team A beating team B for any given game (yes, this ignores the variance incurred through specific pitching matchups and would need to be adjusted for home field advantage, but it is still a useful estimate over the course of a series) Then, P(A,B) = [P(A) - P(A)*P(B)] / [(P(A) + P(B) - 2*P(A)*P(B)] In this example, the Dodgers win% = 0.685, and the Padres win% = 0.549. So, plugging those values in for the Dodgers vs Padres, we get: P(A,B) = 0.641 In order to estimate the probability for a 5-game or 7-game series, we can use binomial expansion. The formula looks like this, where p is the win% of team A and q is the win% for team B (or 1-p) for any given game: win%_7game = p^4 + (p^3)*(q)*choose(4,3)*p + (p^3)*(q^2)*choose(5,3)*p + (p^3)*(q^3)*choose(6,3)*p win%_5game = p^3 + (p^2)*(q)*choose(3,2)*p + (p^2)*(q^2)*choose(4,2)*p So, in our example here with the Dodgers having an expected win% of 0.641 vs the Padres, the likelihood of the Dodgers winning a series against the Padres could be estimated as: Dodgers 5-game win% = 75.0% Dodgers 7-game win% = 78.5% I didn't look this up for the series, but it's probably a good estimate for what the Vegas line might have been for the Dodgers to win the series against the Padres before any games were played. Also worth noting is that this is a pretty wide win% gap for baseball. The Dodgers were an historically elite team this year. Most series odds are going to be a lot closer than that. Baseball playoffs nearly is a game of flipping coins for the most part. Luck plays a much larger role in the MLB than it does in the NBA and NFL. Quote:
The best teams win the championship far more often in the NBA and the NFL than they do in the MLB. It's just the way it is. There's a LOT of luck in baseball, and it takes a very long time for that to even out.
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