Bayesian Equilibria in the Penalty-Kick Game

Germán Colomá
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Abstract

This paper presents a model of a game between a soccer kicker and a goalkeeper, in which each player is trying to score a goal or to avoid such goal. In this version of the penalty-kick game, there are two possible strategies for each player (related to the place that they choose to kick or to move themselves) and there is also uncertainty about the kicker’s type (with two possible types of kicker). To find a solution for this game we use the concept of Bayesian equilibrium, and we find that, typically, one the kicker’s types will play a mixed strategy while the other type will choose a pure strategy. Comparing this equilibrium with the corresponding Nash equilibria under complete information, we find that the expected scoring probability increases (so that, on average, the goalkeeper is worse off).
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点球博弈中的贝叶斯均衡
本文提出了一个足球运动员和守门员之间的博弈模型,其中每个球员都试图进球或避免进球。在这个版本的罚球游戏中,每个玩家都有两种可能的策略(与他们选择踢球或移动自己的位置有关),而且踢球者的类型也存在不确定性(有两种可能的踢球者类型)。为了找到这个博弈的解决方案,我们使用贝叶斯均衡的概念,我们发现,通常情况下,一种踢球者会采取混合策略,而另一种踢球者会选择纯策略。将此均衡与完全信息下相应的纳什均衡进行比较,我们发现期望得分概率增加(因此,守门员的平均情况更差)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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