In 2002, in a seminal article, Bandt and Pompe proposed a new methodology for the
analysis of complex time series, now known as Ordinal Analysis. The ordinal methodology is …

This study developed two action recognition models using the YOLOv8-Alphapose two-
stream spatial temporal graph convolutional networks (2s-STGCN), and the networks were …

Nowadays, coaches exploit data analysis in soccer (football) matches to plan their strategies
against opponents. Network science, a subdomain of data analytics, is widely used to …

Characterizing playing style is important for football clubs on scouting, monitoring and match
preparation. Previous studies considered a player's style as a combination of technical …

This study investigated the extent to which biological maturation selection biases existed
according to playing position in national-level youth soccer. A total of 159 players from the …

Basketball competitions are among the most watched sports activities in the world. With the
developing technology, statistics of the games and players of basketball can be stored more …

The purpose of this study is to review articles that are carried out systematically and
qualitatively synthesized on the application of football sports technology. The research …

On the basis of ecological footprint theory and tourism ecological footprint theory, the
sustainable development indexes such as ecological footprint, ecological carrying capacity …

Evolution, self-organization, synchronization, entropy, or chaos are traditionally related to
statistical physics and applied mathematics. Although their early developments came up …

The revolution of big data has also affected the area of sports analytics. Many big companies
have started to see the benefits of combining sports analytics and big data to make a profit …