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Description: The Machine Learning Journal (Springer) invites submissions of original contributions to machine learning research for soccer analytics. Data science and analytics are being more frequently employed on both the club and national levels to improve performance, equipment, marketing, scouting, etc. In conjunction with this special issue, we organize a machine learning challenge task where the goal is to predict the outcomes of future matches based on a data set of over 200,000 soccer matches from soccer leagues around world. This special issue solicits papers about machine learning approaches for all aspects of soccer. The OSF project hosts the relevant materials. There is no guarantee that the data is free of errors. Any commercial use of the data or materials provided at this website is not allowed.

License: CC0 1.0 Universal

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This category contains the program code (mostly in R) for the predictive models.

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Challenge_Data

This is the data that was released for the 2017 Soccer Prediction Challenge.

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