Match analysis in football is an important method used to optimize team performance and develop technical-tactical strategies. With technological developments, the variety and functionality of the programs used in match analysis have increased. In this study, various software programs used in the analysis of football competitions are examined.

Among the popular match analysis programs today, SciSports, MathBall, Fstats, and AI-Powered Sports stand out. SciSports offers AI-based data analysis and tactical planning, while MathBall provides detailed statistics with parametric data derived from live or recorded footage. Fstats analyzes team dynamics by tracking players' physical performance, while AI-Powered Sports provides instant feedback to coaches by tagging critical in-game moments.

In addition to match analysis, software for analyzing the network science of football is also important. Programs such as Graphviz, RStudio, Gephi and Cytoscape are used to analyze the passing networks and player connections of football teams. These software offer powerful tools for understanding intra-team and opposing team relationships, identifying patterns of play, and conducting strategic analysis.

In conclusion, software used in soccer match analysis facilitates data-driven decision-making processes and contributes to the strategic planning of coaches. The evaluation of player connections using network science also allows better analysis of team performance.