Sports teams are nowadays collecting huge amounts of data from training sessions and matches. The teams are becoming increasingly interested in exploiting these data to gain a …
JM Buldú, J Busquets, I Echegoyen, F Seirul. lo - Scientific reports, 2019 - nature.com
Abstract The application of Network Science to social systems has introduced new methodologies to analyze classical problems such as the emergence of epidemics, the …
During the last decade, Network Science has become one of the most active fields in applied physics and mathematics (Newman, 2010). From all its possible applications, in this …
Team invasion games are sports in which individual team members interact and exchange information to coordinate their behaviours and actions in pursuit of the common goal of …
Given a monocular video of a soccer match, this paper presents a computational model to estimate the most feasible pass at any given time. The method leverages offensive player's …
As the analysis of big datasets in sports performance becomes a more entrenched part of the sporting landscape, so the value of sport scientists and analysts with formal training in …
M Herold, A Hecksteden, D Radke, F Goes… - Journal of sports …, 2022 - Taylor & Francis
This study describes an approach to evaluate the off-ball behaviour of attacking players in association football. The aim was to implement a defensive pressure model to examine an …
The way people consume sports on TV has drastically evolved in the last years, particularly under the combined effects of the legalization of sport betting and the huge increase of sport …
E Nsolo, P Lambrix, N Carlsson - Machine Learning and Data Mining for …, 2019 - Springer
As the success of a team depends on the performance of individual players, the valuation of player performance has become an important research topic. In this paper, we compare and …