Editorial: Big data and data science in sport.

The theoretical soccer performance dimensions are based on a set of 29 players' attributes periodically produced by Electronics Arts (EA) Sports experts. Data and big data in sports are being collected and analyzed, with the integration of physical and digital sources, increasing the knowledge of professional sports for all parties involved. Player assessment is carried out using recursive feature elimination with random forests, in which context relevant player metrics are considered and the selection of players is based on a modified genetic algorithm. American Football In the paper "Sports analytics in the NFL: classifying the winner of the superbowl", Y.F. Roumani shows an application of sports analytics in the National Football League. [Extracted from the article]