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Use Case: Oracle Machine Learning in football - Expected Goals

Thanks to the partnership between the Premier League (the top tier of England's football) and Oracle we have the opportunity to experience what it is to be a football analyst and apply advanced analytics and machine learning to real match data. In this session, you will learn about the concept of "Expected Goals" (xG) in football. Expected goals (xG) is a predictive model used to assess every goal-scoring chance and the likelihood of scoring. The xG model computes for each chance, the probability to score based on factors such as distance, the position of defenders, type and speed of pass, type of shot, shot angles, and various other aspects. In this demonstration, you'll see how we can use Oracle Machine Learning, Autonomous Datawarehouse, and Analytics Cloud to: - Visualize data on a football pitch - Prepare data for machine learning - Train the xG model - Apply the model to recent matches to understand team and player performance.

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    Premier League Challenge - Hands-on Lab

    If you are passionate about football and data, this live hands-on-lab is for you! Thanks to our partnership with Premier League you have the unique opportunity to experience first-hand what it is to be a football analyst and apply advanced analytics and machine learning to real match data! In this first hands-on-lab you will learn about the (xG) Model.
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    Oracle LiveLabs

    Try free workshops on Oracle Technology
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Featured Speakers

  • Speaker

    Jeroen Kloosterman


    Product Strategy Director SMB EMEA

  • Speaker

    Mark Hornick

    Oracle
    Senior Director, Product Management, Machine Learning and AI

  • Speaker

    SHERRY LAMONICA


    Consulting Member of Technical Staff, Oracle Machine Learning Product Management

Workshop Info

Session Has Completed - 21 June 2022
1 Hour
Oracle Machine Learning Office Hours
English
Oracle Machine Learning