23 citations · 55 across the 14 of their papers we have counts for
3 papers · 1 filter
What Happened Next? Using Deep Learning to Value Defensive Actions in Football Event-Data
Charbel Merhej, Ryan Beal, Sarvapali Ramchurn +1
Objectively quantifying the value of player actions in football (soccer) is a challenging problem. To date, studies in football analytics have mainly focused on the attacking side…
Optimising Long-Term Outcomes using Real-World Fluent Objectives: An Application to Football
Ryan Beal, Georgios Chalkiadakis, Timothy J. Norman +1
In this paper, we present a novel approach for optimising long-term tactical and strategic decision-making in football (soccer) by encapsulating events in a league environment acro…
Optimising Game Tactics for Football
Ryan Beal, Georgios Chalkiadakis, Timothy J. Norman +1
In this paper we present a novel approach to optimise tactical and strategic decision making in football (soccer). We model the game of football as a multi-stage game which is made…