We introduce tools that allow us to explore and gather insights about soccer, like (1) calculating the risk/reward ratios for sequences of actions.
Sep 3, 2021 · We describe a new simulator that can simulate the soccer game from a high-level perspective, oriented towards actions.
We propose simulation-based methods that allow us to answer these questions. To avoid simulating complex human physics and ball interactions, we use data to ...
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A Data-Driven Simulator for Assessing Decision-Making in Soccer ; Document Type. Proceedings Paper ; Year published. 2021 ; Published. in PROGRESS IN ARTIFICIAL ...
A data-driven approach to assist offensive and defensive players in optimal decision making ... A data-driven simulator for assessing decision-making in soccer.
This work proposes the application of deep reinforcement learning on the event and tracking data of soccer matches to discover the most impactful actions.
In order to facilitate the demanding task of game sports analysts and coaches we present a generic approach how to conceptualize and design a Data Analytics.
Dec 1, 2023 · In this paper, we propose a valuation method of on- and off-ball soccer players in a single holistic framework based on multi-agent deep RL.
This study validates an innovative instrument, a training platform (TP), designed to measure and enhance decision-making in dual-task scenarios.
The aim of this experiment was to investigate the decision-making skills of different age groups (Under 16, 18 and 23) of elite academy footballers.