FROM STATISTICS TO SUCCESS: FORESIGHT IN SPORTS ANALYTICS
Keywords:
football, sports analytics, prediction, mathematical models, algorithms, machine learning, Monte Carlo method, Markov models, tactics, data analysis.Abstract
The article examines the process of foresight as a scientific tool for forecasting in sports analytics, with a focus on football. The use of mathematical models, statistical methods, and machine learning algorithms enables the analysis of match data, prediction of outcomes, and development of strategies. Attention is given to the theoretical foundations of foresight, such as Markov models, the Monte Carlo method, and machine learning. Examples of their practical application in football are presented, including the analysis of player performance, tactics, and optimization of training processes.
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