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juni 13, 2005

Ivars Peterson: En matematisk analys av tennis

Ivars Peterson skriver i MathTrek : Winning at Tennis om matematisk och statistisk analys av tennis:

In the April Studies in Applied Mathematics, Paul K. Newton of the University of Southern California and Joseph B. Keller of Stanford University provide formulas for computing a tennis player's chances of winning and, in effect, for predicting the outcome of tennis tournaments. In the context of their model, Newton and Keller also prove that the probability of winning a set or match doesn't depend on which player serves first.

It isn't enough to know just the rankings of the two players in a tennis match. There's no obvious, unambiguous way to translate a ranking into a probability of winning. Instead, it turns out that the key factor is the probability that each player wins a rally against the other player when he or she serves. Typically, you assume that these probabilities stay the same throughout a match.

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Se även Ivars Petersons tidigare MathTrek

Posted by hakank at juni 13, 2005 07:55 EM Posted to Matematik | Sport, idrott, hälsa | Statistik/data-analys

Comments

Posted by: thebe at juni 13, 2005 10:12 EM