1 code implementation • 7 Feb 2024 • Gregory Everett, Ryan Beal, Tim Matthews, Timothy J. Norman, Sarvapali D. Ramchurn
In this paper, we present a novel sequential team selection model in soccer.
1 code implementation • 22 Feb 2022 • Matthew Wear, Ryan Beal, Tim Matthews, Tim Norman, Sarvapali Ramchurn
As an amateur goalkeeper playing grassroots soccer, who better to learn from than top professional goalkeepers?
no code implementations • 3 Jun 2021 • Charbel Merhej, Ryan Beal, Sarvapali Ramchurn, Tim Matthews
Objectively quantifying the value of player actions in football (soccer) is a challenging problem.
no code implementations • 18 Feb 2021 • Ryan Beal, Georgios Chalkiadakis, Timothy J. Norman, Sarvapali D. Ramchurn
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 across a given time frame.
no code implementations • 8 Dec 2020 • Ryan Beal, Stuart E. Middleton, Timothy J. Norman, Sarvapali D. Ramchurn
In this paper, we present a new application-focused benchmark dataset and results from a set of baseline Natural Language Processing and Machine Learning models for prediction of match outcomes for games of football (soccer).
no code implementations • 23 Mar 2020 • Ryan Beal, Georgios Chalkiadakis, Timothy J. Norman, Sarvapali D. Ramchurn
In this paper we present a novel approach to optimise tactical and strategic decision making in football (soccer).