The approaches routinely used to model the outcomes of football matches are characterised by strong assumptions about the dependence between the number of goals scored by the two competing teams and their marginal distribution. In this work, we argue that the assumptions traditionally made are not always based on solid arguments. Although most of these assumptions have been relaxed in the recent literature, the model introduced by Dixon and Coles in 1997 still represents a point of reference in the betting industry. While maintaining its conceptual simplicity, we propose a modification of the dependence structure. A real data application suggests that our model, named Mar-Co, outperforms the Dixon and Coles one in several betting scenarios, and parameter interpretation provides key insights on league dynamics.
翻译:通常用来模拟足球比赛结果的方法的特点是,对两个竞技队所达到的目标数目及其边缘分布之间的依赖性有强烈的假设。在这项工作中,我们争辩说,传统上作出的假设并不总是基于确凿的论点。虽然最近的文献中已放松了大部分这些假设,但Dixon和Coles在1997年采用的模型仍然是赌博业的一个参照点。在保持其概念简单性的同时,我们提议修改依赖性结构。一个真正的数据应用表明,我们的模型,即Mar-Co,在若干赌注情景中优于Dixon和Coles的模型,以及参数解释提供了对联盟动态的关键洞察力。