Identifying playing styles in football is highly valuable for achieving effective performance
analysis. While there is extensive research on team styles, studies on individual player …

Decision making is vital in complex sporting tasks but is difficult to test and train. New
technologies such as virtual and augmented reality offer novel opportunities for improving …

The rapid progress in artificial intelligence (AI) and machine learning has opened
unprecedented analytics possibilities in various team and individual sports, including …

One of the main shortcomings of event data in football, which has been extensively used for
analytics in the recent years, is that it still requires manual collection, thus limiting its …

Due to ever-growing soccer data collection approaches and progressing artificial
intelligence (AI) methods, soccer analysis, evaluation, and decision-making have received …

Despite the fact that objectively assessing the impact of the individual actions performed by
soccer players during games is a crucial task, most traditional metrics have substantial …

Objectively quantifying a soccer player's contributions within a match is a challenging and
crucial task in soccer analytics. Many of the currently available metrics focus on measuring …

There has been an explosion of data collected about sports. Because such data is extremely
rich and complicated, machine learning is increasingly being used to extract actionable …

Creativity is highly valued in soccer players. It contributes to exciting and unpredictable play,
which can help teams to overcome defensive strategies and create scoring opportunities …

With the development of measurement technology, data on the movements of actual games
in various sports can be obtained and used for planning and evaluating the tactics and …