🧵 Thread: What Makes a Team's Formation Work in Football? ⚽️🧠

1/6 🚀 How do teams' formations change during a match?

This research presents a cutting-edge framework using a Convolutional Neural Network (CNN) to identify formations based on specific phases of play. 💡

1/6 🚀 Expected goals (xG) is one of the most widely used metrics in football analytics, but can we make it more accurate?

This study introduces a Bayesian hierarchical approach to refine xG predictions, accounting for player-specific and positional factors often overlooked.

1/6 🚀 Expected goals (xG) is one of the most widely used metrics in football analytics, but can we make it more accurate?

This study introduces a Bayesian hierarchical approach to refine xG predictions, accounting for player-specific and positional factors often overlooked.

1/6 ⚡ Can AI predict how players perform in new teams?

This research applies Large Event Models (LEMs) to football analytics, treating the game like a language where past events predict future outcomes. 🧠

1/5 🚀 Can we quantify player decision-making in soccer passes?

This study presents a novel approach using the StatsBomb 360º datasets to evaluate the risk and reward associated with every pass. 💡

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1/6 🚀 How can we more accurately assess soccer players’ skills?

This paper extends the Expected Possession Value (EPV) model (which I analysed last week) to better estimate a player's performance and predict their future success. 🧠

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1/6 🚀 How can we more accurately assess soccer players’ skills?

This paper extends the Expected Possession Value (EPV) model (which I analysed last week) to better estimate a player's performance and predict their future success. 🧠

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1/6 🚀 How can we more accurately assess soccer players’ skills?

This paper extends the Expected Possession Value (EPV) model (which I analysed last week) to better estimate a player's performance and predict their future success. 🧠

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🚀 How can we measure the impact of every soccer possession? ⚽️📊

This study introduces a framework for estimating the instantaneous expected value (EPV) of soccer possessions, offering a deeper understanding of game dynamics. 🧠 (1/6)

🚀 How can event data reveal players’ ability to cope with pressure? ⚽️🔥

Understanding how players perform under competitive pressure is critical for identifying talent.

This study explores how players react in high-pressure situations. 🧠 (1/5)

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Continuing the tradition, I have compiled an end-of-year overview of the soccer analytics content that I liked the most in the past year. The 2024 edition includes pointers to over 160 resources, including research papers, blog posts, articles, podcasts, and books.

janvanhaaren.be/posts/soccer...