engleski

Web Application for Support in Basketball Game Analysis

The development of ICT technologies and usage in various fields enable faster development and analysis of large amounts of data, but also a way of saving the data. Stored data are easier to search, edit and analyse. Stored data, usually stored in databases, can be analysed and useful information can be drawn. As Internet communication becomes the dominant way in exchange of data and information, many application and expert system were developed. In this paper is shown AssistantCoach expert system, which was developed for supporting basketball coaches in making decisions and analysing games. It describes a new algorithm for game win percentage prediction and allows users to make notes about opponent players and teams, but also notes about their own players, trainings and different types of game analysis. Based on input parameters (IPE in selected time period, predicted parameters) the expert system calculates game win percentage. By increasing or decreasing parameters, coaches are able to find the highest percentage for the win and to use time before game to correct team mistakes. In addition to the algorithm for game win percentage, the expert system offers their user a number of different analysis and statistics. Expert system uses every input game boxscore and other notes as a new material to learn. Described methods and algorithm are verified on a selected sample of basketball games and selected time period.

AssistantCoach ; Basketball ; Database Analysis ; Expert System ; ER Model ; Web Application

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