David goes through the methods for using Large Language models to talk about data. Ágúst breaks down scouting metrics.

At the weekly Twelve meeting, Pegah told us about her Streamlit tool for explaining passes. This can be interesting as a behind the scenes look at how we build models.

David explains the mechanistic approach to modelling player movement and Pegah goes into detail with her approach to building an off-ball expected threat model.

Building models of how players skills change as they age, what happens when they move league and how their value changes.

Looking at how player skills change as they move between leagues.

Liam works on both the live scouting approach and uses data to help his decisions. He talks to David and answer’s the community’s questions about how to combine the two. And even speculates on whether he will one day be replaced by a computer!

David is joined by Ida and Matthias, who explain how we decided on the metrics to build into our match reports and the concept of AI agents for talking about football data.

How to win Europa League with data! David talks to Suds about his work as Head of Football Intelligence at Atalanta.

Johan Karlsson talks to David about the design behind using data in football, focussing on communicating with different groups an. getting the processes right. And David gets to tell some anecdotes about using data on TV, including a bit about the Gary Neville metric.

Welcome to our presentation on the History of Football Analysis, where we will explore the evolution of the game through the lens of data and analytic insights, highlighting how analysis has transformed football into the sport we know today.

In the fast-evolving world of football, analysis became a critical component of both tactical decision-making and long-term strategic planning. Modern analysis workflows integrate advanced technologies, from video analytics to machine learning, to provide insights on player performance, opposition analysis, and game dynamics.

Our guest is István Beregi, an analyst for the Hungarian National Team with extensive experience in researching set-pieces.

He’ll be sharing insights from the top level of international football.

Don’t miss it!

Jernej Flisar’s masterclass teaches how to analyze set pieces using data. He explains how data can help teams better understand and improve their performance during set-piece situations, such as corners or free kicks. By using statistics and patterns, teams can find weaknesses in their opponents and build stronger strategies to succeed during these critical moments in a game.

Creating match reports using words and data combines narrative insights with statistical analysis to provide a comprehensive overview of a game’s key events and performance metrics.

AI in football coaching and strategy helps coaches and analysts interpret complex data, providing clear insights into player performance and tactics, making data-driven decisions more transparent and actionable.

Player recruitment trends in the Bundesliga have recently focused on nurturing young talent, attracting promising prospects from around the world, and balancing financial sustainability with competitive ambition, with an increasing emphasis on data-driven scouting and player development.

Personalization of music leverages algorithms and user data to tailor listening experiences, offering recommendations, playlists, and content that align with individual tastes, moods, and listening habits, creating a unique and immersive music journey for each listener.

In this masterclass, Ágúst Pálmason Morthens, the Lead Data Scientist at Twelve Football, delves into best practices for manager recruitment in football. Drawing on his expertise in data science and football analytics, Ágúst explores how data-driven insights can revolutionize the recruitment process, enabling clubs to identify managerial candidates who align with their strategic goals.