In my previous post I outlined some of the basics behind considering football as a dynamical system and how we might proceed to synthesize an attractor to study the movement dynamics of a team. To summarize, a team can be described by a set of variables like its center of mass (i.e. position) and theContinue reading “A State of Football, Part II: Inter-Player Dynamics”
The first entry in a two-part series going over the intersection of topological data analysis with dynamical systems theory – in this case, how we can understand team space occupation by constructing attractors for a football match.
Problems are only as hard as their representations and this particular one about simulating trajectories in particle decay seems quite complex until it’s framed as a geometric question.
Perhaps the greatest footballing rivalry ever, Lionel Messi and Cristiano Ronaldo have consistently topped the charts of football in terms of performance stats and accolades; and yet they couldn’t be more different in terms of their footballing style. In this post I introduce topological data analysis and how it can tell us about what exactly makes these players so special.
Despite playing at FC Barcelona in the Spanish La Liga for over 10 years, Lionel Messi seems to continually outperform himself season after season. In this post, I look beyond goals and assist tallies and analyze the Barcelona passing network in order to measure Messi’s impact over the years.