There are important features about the simultaneous exchange of information among different regions of the brain. Synchronization of Electroencephalogram (EEG) signals in different frequency bands is one of the important means to understand the brain. EEG can help discover many unknown details and explain some human behaviours. In addition, it can provide help and theoretical basis for other information research. In order to explore what affects the basketball players' free-throw percentage, this paper conducts a statistical survey of the free throws by college basketball players. By observing the brain waves which reflect the happy and sad moods of the test subjects in the cerebral cortex, this paper analyses the relationship between brain waves and free throw performance. It discusses the factors that affect the psychological changes of basketball players and the general psychological training methods for them. By learning about the psychological characteristics of basketball players, it analyses the psychological adjustment methods for basketball players in various movements. In summary, this paper analyses the factors that affect the free throw percentage from the psychological, physical and technical perspectives, which provides a better reference for future scientific training. 311and play an outstanding role in the treatment of neurological diseases. In this experiment, the EEG data were collected and analysed by the principal component analysis. The purpose is to analyse changes in EEG activity in the cerebral cortex region by detecting and analysing emotions, in order to find out the inner relationship between human brain and the emotions induced by free throws.

The purpose of this research is to examine the intentions of sports consumption of viewers of two Chinese Super League soccer teams and to determine whether changes in behaviour are related to the teams’ league standings. Spectators from both teams participate in the study voluntarily. The study employs descriptive statistics and fieldwork, and the questionnaire used in the study has a reliability coefficient of 0.87. Experts in sports management determine the content validity, while validation factor analysis is used to determine the structural validity. The statistical population is composed of two Chinese Super League teams (one team is relatively successful and one less successful). Six hundred and seventy-eight valid questionnaires are distributed randomly. Following data collection, the link between consumption behaviour and perceived risk is examined. The findings show that performance risk has an effect on game watching intention, t = 0.04, with a standard solution of 1.99, on recommending others watch the game, t = 0.11, with a standard solution of 0.98, on team licenced merchandise consumption, t = −0.05, with a standard solution of −0.41, and on the consumption of media, t = 4.21, with a standard solution of 1.19. Therefore, performance perceived risk significantly affects game watching and media consumption intention has a significant effect but has no significant effect on recommending others to watch the game and licensed merchandise consumption.

The technology of large data analysis has important practical significance to players digging, tactics and training monitoring. In order to improve the performance of basketball training, the big data technology is applied in the training management system. The reform of basketball training is being carried out, and the research on the combination selection mode of the basketball training is being discussed. This is not only from the traditional technology to the combination of training to our physical education, but also from the tactical thinking to cultivate students. This can promote the performance and training interactive quality in basketball sports training and training.