Abstract

The game of soccer has offered matter of wide scientific analysis about the effective application of the game theory in real-life. The field observations have often detected divergent behaviors from theoretical predictions. The basic problem comes from the fact that it is difficult to build scientific models reflecting reality as closely as possible. Axiomatic Design offers us a powerful tool of rational decomposition of a real and complex issue into elementary components. Independence Axiom guarantees that game decomposition will define a set of elementary actions logically consistent and free of redundancies. At the same time, Information Axiom can allow to select among alternative strategies, those that they predict the actions with a higher probability rate of success. In this paper, it is suggested the use of the Axiomatic Design methodology in the Collectively Exhaustive and Mutually Exclusive (CEME) mode, as a tool of analysis of the penalty shoot-out in extra time. This methodology allows to define the game strategies for goalkeepers and penalty takers. It will be analyzed both, the case when the opponents' behavior is well known and the situation when the statistics about the opponents are unknown. Axiomatic Design allows the process of decomposition to be simplified, enabling the selection of optimal game strategies. These strategies correspond to Nash’s equilibrium solutions when you already know about your opponents' game behavior. On the contrary, when penalty takers whose behavior is unknown, then it is always possible to define a strategy corresponding to the Bayesian equilibrium game solutions.

Highlights

  • The game of soccer is the most popular sport in the world

  • We propose the approach of the so-called Collectively Exhaustive and Mutually Exclusive (CEME) methodology [4, 5]

  • We can say that the main benefit that CEME can provide to Game Theory is to facilitate the decomposition of a complex zero-sum game into further elementary games, by preserving at the same time the intrinsic features of the primary one

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Summary

Introduction

The game of soccer is the most popular sport in the world It feeds an economic business of considerable proportions. The game of soccer represents a useful workshop to ascertain the extent of the game theory. It has a very wide application in both finance and social science. The penalty shootouts are used in play-offs, in case after extra time the two opposing teams are still in draw. They are constituted by five penalty shootouts the two teams kick alternately to decide the winning team of the match.

Big data and soccer
Axiomatic decomposition of the game actions
Building of a structured DataBase
The penalty shoot-out in the game theory
Premise
Equilibrium conditions
Restricted randomization equilibrium
General randomization equilibrium
Interpretation of the penalty shoot-out in terms of AD
Predicting goal-scoring in Nash’s equilibrium
How Hannes Halldorsson succeeded in catching Lionel Messi’s penalty shoot-out
Lionel Messi’s real shooting behavior in penalty shootouts
Empirical analysis of Lionel Messi’s shooting strategies
Axiomatic interpretation of a failed shoot-out
AD CEME methodology application to the penalty shootouts in ideal conditions
Decomposition methodology
First level decomposition
Methodological considerations
Second level decomposition
Third level decomposition
Third level decomposition from kickers side
Third level decomposition from goalkeeper side
AD CEME methodology application to the penalty shootouts in real cases
The penalty shoot-out game under incomplete information
Axiomatic decomposition of a penalty shoot-out in Bayesian equilibrium
The impact of physical and mental stress in the penalty shootouts
Pursuit effect
Axiomatic representation of the pursuit effect
Functional decoupling
Typing
Definition of an axiomatic model by Lionel Messi’s shootouts in penalties
Utility
Conclusions
Full Text
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