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 …

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 …

This research aimed to describe and quantify the stroke patterns profiling professional tennis
players by constructing a complex network specifically related to ball bounce locations. A …

The current study proposes the use of Network Science as a complementary tool to analyse
how specific and unique the playing style of Chinese football teams is. Departing from all …

In this paper, we define a novel methodology for analyzing soccer matches and teams using
spatial multilayer networks. Departing from a segmentation of the pitch into h× v regions, we …

The behaviour adopted by football teams during matches is defined as their playing style
and is a key area for performance analysis. This study aimed to identify the playing styles of …

Aims: The goal is to investigate how the length and height of passes impact a team's
performance in national championships. A predictive model will be developed to analyse the …

We investigated the ability of football teams to develop a particular playing style by looking
at their passing patterns. Using the information contained in the pass sequences during …

The strategic orchestration of football matchplays profoundly influences game outcomes,
motivating a surge in research aimed at uncovering tactical nuances through social network …

In this paper, we study collective interaction dynamics emerging in the game of football
(soccer). To do so, we surveyed a database containing body-sensor traces measured during …