The influence of data analysis on football teams to increase sports´ performance

Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business IntelligenceAs we know, football is the most popular sport among the fans all over the world and, in today’s world a very lucrative business for club owners and stakeholders, and sometimes its own supporters. With the board and supporters’ expectations being higher with the money spent on new players and conditions to attract valuable assets for the clubs, the teams tend to invest their money on infrastructures and other type of conditions for their players, including a better staff. The teams’ staff normally gather many data during the training sessions, other teams’ observation, and post-match observations, meaning that the investment is now increasing on hiring new data analysts. Additionally, there are scouting teams that gather data as well. With that, the question that arises is how can football teams increase their performance, using data analysis? The goal of this dissertation is to understand how the existing tools are helping teams improving their performance in and off the pitch and propose new ways on how future analysis can be conducted. To meet this goal, an extended systematic literature review will be taken, to present a discussion and conclusions on how data analysis can influence football clubs and players’ performance

Application of Artificial Intelligence in Basketball Sport

Basketball is among the most popular sports in the world, and its related industries have also produced huge economic benefits. In recent years, the application of artificial intelligence (AI) technology in basketball has attracted a large amount of attention. We conducted a comprehensive review of the application research of AI in basketball through literature retrieval. Current research focuses on the AI analysis of basketball team and player performance, prediction of competition results, analysis and prediction of shooting, AI coaching system, intelligent training machine and arena, and sports injury prevention. Most studies have shown that AI technology can improve the training level of basketball players, help coaches formulate suitable game strategies, prevent sports injuries, and improve the enjoyment of games. At the same time, it is also found that the number and level of published papers are relatively limited. We believe that the application of AI in basketball is still in its infancy. We call on relevant industries to increase their research investment in this area, and promote the improvement of the level of basketball, making the game increasingly exciting as its worldwide popularity continues to increase

Proceedings of Mathsport international 2017 conference

Proceedings of MathSport International 2017 Conference, held in the Botanical Garden of the University of Padua, June 26-28, 2017. MathSport International organizes biennial conferences dedicated to all topics where mathematics and sport meet. Topics include: performance measures, optimization of sports performance, statistics and probability models, mathematical and physical models in sports, competitive strategies, statistics and probability match outcome models, optimal tournament design and scheduling, decision support systems, analysis of rules and adjudication, econometrics in sport, analysis of sporting technologies, financial valuation in sport, e-sports (gaming), betting and sports