In this paper we discuss an exactly soluble statistical model for soccer. By taking into account key features of soccer matches (goals are rare, goal-scoring patterns are not well understood) we arrive at a version of the classical Poisson model but with constraints on the expected total number of goals in a game. Closed form expressions are derived for expected scores and match outcomes. We are also able to reconstruct an empirically observed inverse strike-back effect pertaining to teams scoring consecutive goals. We produce analytical results for perfectly competitive soccer leagues where draws are tied to the average number of goals in a game. An empirical application to the 2016 UEFA European Championships is also discussed
In this paper a method is suggested for predicting the distribution of scores in international socce...
Models in which the number of goals scored by a team in a soccer match follow a Poisson distribution...
In this paper we discuss a simulation/probability model that identifies the team that is most likely...
In this paper we discuss an exactly soluble statistical model for soccer. By taking into account ke...
The non-scientific event of a soccer match is analysed on a strictly scientific level. The analysis ...
As the access to broader and better data increases, data analytics, statistical modeling, and data s...
Scoring goals in a soccer match can be interpreted as a stochastic process. In the most simple descr...
Predicting the features of behaviour of big data and multivariable systems has been a research subje...
First developed in 1982, the double Poisson model, where goals scored by each team are assumed to be...
This thesis discusses the expected goal model for football and assesses the explanatory power of the...
The development of the Poisson match as a model used in the prediction of the outcome of football ma...
In this paper we discuss a simulation/probability model that identifies the team that is most likely...
In this paper we discuss a simulation/probability model that identifies the team that is most likely...
Many approaches that analyze and predict the results of soccer matches are based on two independent ...
In this paper we discuss a simulation/probability model that identifies the team that is most likely...
In this paper a method is suggested for predicting the distribution of scores in international socce...
Models in which the number of goals scored by a team in a soccer match follow a Poisson distribution...
In this paper we discuss a simulation/probability model that identifies the team that is most likely...
In this paper we discuss an exactly soluble statistical model for soccer. By taking into account ke...
The non-scientific event of a soccer match is analysed on a strictly scientific level. The analysis ...
As the access to broader and better data increases, data analytics, statistical modeling, and data s...
Scoring goals in a soccer match can be interpreted as a stochastic process. In the most simple descr...
Predicting the features of behaviour of big data and multivariable systems has been a research subje...
First developed in 1982, the double Poisson model, where goals scored by each team are assumed to be...
This thesis discusses the expected goal model for football and assesses the explanatory power of the...
The development of the Poisson match as a model used in the prediction of the outcome of football ma...
In this paper we discuss a simulation/probability model that identifies the team that is most likely...
In this paper we discuss a simulation/probability model that identifies the team that is most likely...
Many approaches that analyze and predict the results of soccer matches are based on two independent ...
In this paper we discuss a simulation/probability model that identifies the team that is most likely...
In this paper a method is suggested for predicting the distribution of scores in international socce...
Models in which the number of goals scored by a team in a soccer match follow a Poisson distribution...
In this paper we discuss a simulation/probability model that identifies the team that is most likely...