Date that article was published: November 2022

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Article Summary

The article points out 6 Data Science Use-Cases in Soccer: Player Performance, Set-piece Optimization, Player Recruitment, Training Optimization, Gameplanning & Strategy. For Player Preformance, teams leverage match player performance data, video footage, expected goals and assists, and data signals to understand and optimize their performance deeply. For Set-piece Optimization, teams use metrics calculated from event data like passes, tackles, and saves. For Player Recruitment, teams can identify players that the market undervalues and that have the exact skillset they’re looking for. For Training Optimization, data can be used to decide where to concentrate training time and monitor player fitness. For Gameplanning & Strategy, data can be used as a tool to deliver tailored strategies and game plans for teams to use.

Areas of Application

The article mentions several ways that data science and machine learning can be applied in real time to help referee matches. In the FIFA 2022 world cup, referees used computer vision-assisted cameras, new Semi-automated Offside Technology to help with decision making and player-facing analytics to give more information to officials. These improvements have allowed referees to make better decision on the field with better quality information.

Another application that I have personally used is the google match prediction technology. The technology uses data from previous matches from to predict the outcome of a game and updates predictions based on the live results.

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