• #128 Building a Winning Data Team in Football, with Matt Penn

  • 2025/03/19
  • 再生時間: 58 分
  • ポッドキャスト

#128 Building a Winning Data Team in Football, with Matt Penn

  • サマリー

  • Proudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch!

    • Intro to Bayes Course (first 2 lessons free)
    • Advanced Regression Course (first 2 lessons free)

    Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work!

    Visit our Patreon page to unlock exclusive Bayesian swag ;)

    Takeaways:

    • Matt emphasizes the importance of Bayesian statistics in scenarios with limited data.
    • Communicating insights to coaches is a crucial skill for data analysts.
    • Building a data team requires understanding the needs of the coaching staff.
    • Player recruitment is a significant focus in football analytics.
    • The integration of data science in sports is still evolving.
    • Effective data modeling must consider the practical application in games.
    • Collaboration between data analysts and coaches enhances decision-making.
    • Having a robust data infrastructure is essential for efficient analysis.
    • The landscape of sports analytics is becoming increasingly competitive.
    • Player recruitment involves analyzing various data models.
    • Biases in traditional football statistics can skew player evaluations.
    • Statistical techniques should leverage the structure of football data.
    • Tracking data opens new avenues for understanding player movements.
    • The role of data analysis in football will continue to grow.
    • Aspiring analysts should focus on curiosity and practical experience.

    Chapters:

    00:00 Introduction to Football Analytics and Matt's Journey

    04:54 The Role of Bayesian Methods in Football

    10:20 Challenges in Communicating Data Insights

    17:03 Building Relationships with Coaches

    22:09 The Structure of the Data Team at Como

    26:18 Focus on Player Recruitment and Transfer Strategies

    28:48 January Transfer Window Insights

    30:54 Biases in Football Data Analysis

    34:11 Comparative Analysis of Men's and Women's Football

    36:55 Statistical Techniques in Football Analysis

    42:48 The Impact of Tracking Data on Football Analysis

    45:49 The Future of Data-Driven Football Strategies

    47:27 Advice for Aspiring Football Analysts

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あらすじ・解説

Proudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch!

  • Intro to Bayes Course (first 2 lessons free)
  • Advanced Regression Course (first 2 lessons free)

Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work!

Visit our Patreon page to unlock exclusive Bayesian swag ;)

Takeaways:

  • Matt emphasizes the importance of Bayesian statistics in scenarios with limited data.
  • Communicating insights to coaches is a crucial skill for data analysts.
  • Building a data team requires understanding the needs of the coaching staff.
  • Player recruitment is a significant focus in football analytics.
  • The integration of data science in sports is still evolving.
  • Effective data modeling must consider the practical application in games.
  • Collaboration between data analysts and coaches enhances decision-making.
  • Having a robust data infrastructure is essential for efficient analysis.
  • The landscape of sports analytics is becoming increasingly competitive.
  • Player recruitment involves analyzing various data models.
  • Biases in traditional football statistics can skew player evaluations.
  • Statistical techniques should leverage the structure of football data.
  • Tracking data opens new avenues for understanding player movements.
  • The role of data analysis in football will continue to grow.
  • Aspiring analysts should focus on curiosity and practical experience.

Chapters:

00:00 Introduction to Football Analytics and Matt's Journey

04:54 The Role of Bayesian Methods in Football

10:20 Challenges in Communicating Data Insights

17:03 Building Relationships with Coaches

22:09 The Structure of the Data Team at Como

26:18 Focus on Player Recruitment and Transfer Strategies

28:48 January Transfer Window Insights

30:54 Biases in Football Data Analysis

34:11 Comparative Analysis of Men's and Women's Football

36:55 Statistical Techniques in Football Analysis

42:48 The Impact of Tracking Data on Football Analysis

45:49 The Future of Data-Driven Football Strategies

47:27 Advice for Aspiring Football Analysts

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