Match analysis in football involves a variety of methods used to evaluate team and player performance, assess strategies, and gather information about opponents. These analyses are crucial for improving performance and making informed decisions. Methods include observational analysis, video analysis, notation analysis, and both quantitative and qualitative approaches. Observational analysis involves manually recording key events such as pass errors and shots by coaches or observers. Video analysis enables detailed examination of player movements and team tactics through recorded match footage. Notation analysis involves the systematic recording of events using specific codes, such as “S” for shots or “C” for corners. Technological tools also play a significant role in match analysis, with GPS, wearable technologies, and video-based position tracking systems providing in-depth insights into player physical performance and positioning. Additionally, artificial intelligence (AI) and machine learning techniques assist in data analysis and predictive modeling. These methods collectively help teams refine their strategies and optimize performance, contributing to better tactical and strategic decision-making.