• Corpus ID: 88515177

A Bayesian inference approach for determining player abilities in soccer

@article{Whitaker2017ABI,
  title={A Bayesian inference approach for determining player abilities in soccer},
  author={Gavin A. Whitaker and Ricardo Silva and Daniel L. Edwards},
  journal={arXiv: Applications},
  year={2017}
}
We consider the task of determining a soccer player's ability for a given event type, for example, scoring a goal. We propose an interpretable Bayesian inference approach that centres on variational inference methods. We implement a Poisson model to capture occurrences of event types, from which we infer player abilities. Our approach also allows the visualisation of differences between players, for a specific ability, through the marginal posterior variational densities. We then use these… 
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References

SHOWING 1-10 OF 66 REFERENCES
A mixed effects model for identifying goal scoring ability of footballers
TLDR
A model that can be used to identify the goal scoring ability of footballers is presented and it is found that this outperformance can be attributed, in some part, to the model's disaggregating a player's ability and chance that may have influenced his goal scoring statistic in the previous season.
Bayesian modelling of football outcomes: using the Skellam's distribution for the goal difference
TLDR
This paper focuses on the difference of the number of goals, i.e. the margin of victory, in football match outcomes and application of the Bayesian methodology for the Skellam’s distribution using covariates is discussed.
Bayesian hierarchical model for the prediction of football results
TLDR
A Bayesian hierarchical model is proposed to fulfil the aims of estimating the characteristics that bring a team to lose or win a game, or to predict the score of a particular match, and a more complex mixture model is specified that results in a better fit to the observed data.
A generative model for predicting outcomes in college basketball
Abstract We show that a classical model for soccer can also provide competitive results in predicting basketball outcomes. We modify the classical model in two ways in order to capture both the
Assessing team strategy using spatiotemporal data
TLDR
An approach is presented which uses an entire season of ball tracking data from the English Premier League to reinforce the common held belief that teams should aim to "win home games and draw away ones", and generates an expectation model of team behavior based on a code-book of past performances.
Analysis of sports data by using bivariate Poisson models
Summary. Models based on the bivariate Poisson distribution are used for modelling sports data. Independent Poisson distributions are usually adopted to model the number of goals of two competing
A birth process model for association football matches
Data from over 4000 recent association football (soccer) matches from the main English competitions show clear evidence that the rate of scoring goals changes over the course of a match. This rate
The Pressing Game : Optimal Defensive Disruption in Soccer
Soccer, the most watched sport in the world, is a dynamic game where a team’s success relies on both team strategy and individual player contributions. Passing is a cardinal soccer skill and a key
Identifying Team Style in Soccer Using Formations Learned from Spatiotemporal Tracking Data
TLDR
This paper presents a method which can accurately determine the identity of a team from spatiotemporal player tracking data by utilizing a formation descriptor which is found by minimizing the entropy of role-specific occupancy maps.
On the Development of a Soccer Player Performance Rating System for the English Premier League
TLDR
The EA Sports Player Performance Index is a rating system for soccer players used in the top two tiers of soccer in England and attempts to rate all players using a single score, regardless of their playing specialty, based on player contributions to winning performances.
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