23 citations · 27 across the 6 of their papers we have counts for
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cs.AI2021★ 23 cited
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…
cs.AI2021★ 1 cited
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…