Abstract
In this paper we consider the volleyball under the assumption that the probability of winning a single rally is independent of the other rallies and constant during the game. Fixing two parameters which indicate the probabilities of winning a rally for the serving team, we derive the exact expression of the probability of winning a set and a match, even in the case of sets ending with a tie break, in the present rally point- and in the former side-out scoring systems. Furthermore we are able to evaluate by a simple direct computation the mean duration of the sets in both the scoring systems, obtaining, as well known in the practice, that the change in the scoring system reduced the (expected) length of the matches. The analysis of the matches between the 4 top teams of the Italian Volley League in the period 2001–2012 shows that the model is adequate and accurate in describing the game.
References
Adler, I. and S. M. Ross. 2012. “Score Probabilities for Serve and Rally Competitions.” Math. Scientst. 37:47–54.Search in Google Scholar
Barnett, T. J., A. Brown, and K. Jackson. 2008. “Modelling outcomes in volleyball.” Pp. 130–137 in 9th Australasian Conference on Mathematics and Computers in Sport (9M&CS) (Tweed Heads, Australia, 2008). London: Chapman & Hall.Search in Google Scholar
Kemeny, J. G. and J. L. Snell. 1976. Finite Markov chains. New York: Springer-Verlag, reprinting of the 1960 original, Undergraduate Texts in Mathematics.Search in Google Scholar
Kovacs, B. 2009. “The Effect of the Scoring System Changes in Volleyball: A Model and an Empirical Test.” J. Quant. Anal. Sports 5:Art. 9, 14. (http://dx.doi.org/10.2202/1559-0410.1182).Search in Google Scholar
Lee, K. T. and S. T. Chin. 2004. “Strategies to Serve or Receive the Service in Volleyball.” Math. Methods Oper. Res. 59:53–67. (http://dx.doi.org/10.1007/s001860300315).Search in Google Scholar
Newton, P. K. and J. B. Keller. 2005. “Probability of Winning at Tennis. I. Theory and data.” Stud. Appl. Math. 114:241–269. (http://dx.doi.org/10.1111/j.0022-2526.2005.01547.x).Search in Google Scholar
Norris, J. R. 1998. Markov chains, Cambridge Series in Statistical and Probabilistic Mathematics. volume 2, Cambridge: Cambridge University Press, reprint of 1997 original.Search in Google Scholar
Paindaveine, D. and Y. Swan. 2011. “A Stochastic Analysis of Some Two-Person Sports.” Stud. Appl. Math. 127:221–249. (http://dx.doi.org/10.1111/j.1467-9590.2011.00517.x).Search in Google Scholar
Simmons, J. 1989. “A Probabilistic Model of Squash: Strategies and Applications.” J. Roy. Statist. Soc. Ser. C 38:95–110. (http://dx.doi.org/10.2307/2347684).Search in Google Scholar
©2014 by Walter de Gruyter Berlin/Boston