June 25th, 2002, 9:21 pm
Okay, I reran the World Cup playing all games according to my Poisson model with backfit parameters. I didn't simulate, I calculated the probability of each outcome (up to 12 goals per side). According to that there was 0.07 probability of having four of the eight top pre-tournament teams in the semi-finals, 0.14 of having three, 0.32 of having two, 0.32 of having one and 0.15 of having none.A more reasonable answer is to redo the computation assuming your friend had identified the eight top tournament performers. That is, a priori the favorite teams that left early probably had better chances of winning than their results show, and the lesser-regarded teams that hung around probably had worse chances of winning. This should eliminate the backfit bias. In that case the probabilities are 0.18 of four, 0.31 of three, 0.32 of two, 0.15 of one and 0.06 of zero.The actual answer is probably somewhere between the two. The first gives no weight to the pretournament expectations, the second regards it as certain.I think the real bad news in the tournament for your friend's strategy was not the disappointing showings of France, Agentina, Italy and Portugal. It was the depth of talent. Turkey, the US, Ireland, Costa Rica, Belgium, Russia, Mexico, South Africa, Poland, Nigeria, Senegal and South Korea posted the same average performance in my model as the top eight teams.In other words, the volatility was higher than your friend expected. He ended up doing better than average given that volatility. Perhaps that is due to some "championship" factor not found in goals scored; maybe the Germany's and Brazil's are more likely to win the Cup than the South Korea's and Turkey's; more than you would expect from game-by-game results. Or maybe he was lucky.