4 papers
Prediction-based evaluation of back-four defense with spatial control in soccer
Soujanya Dash, Kenjiro Ide, Rikuhei Umemoto +2
Defensive organization is critical in soccer, particularly during negative transitions when teams are most vulnerable. The back-four defensive line plays a decisive role in prevent…
Expandable Decision-Making States for Multi-Agent Deep Reinforcement Learning in Soccer Tactical Analysis
Kenjiro Ide, Taiga Someya, Kohei Kawaguchi +1
Invasion team sports such as soccer produce a high-dimensional, strongly coupled state space as many players continuously interact on a shared field, challenging quantitative tacti…
Interpretable Low-Dimensional Modeling of Spatiotemporal Agent States for Decision Making in Football Tactics
Kenjiro Ide, Taiga Someya, Kohei Kawaguchi +1
Understanding football tactics is crucial for managers and analysts. Previous research has proposed models based on spatial and kinematic equations, but these are computationally e…
OpenSTARLab: Open Approach for Spatio-Temporal Agent Data Analysis in Soccer
Calvin Yeung, Kenjiro Ide, Taiga Someya +1
Sports analytics has become both more professional and sophisticated, driven by the growing availability of detailed performance data. This progress enables applications such as ma…