Unleashing the Power of Feature Selection: Enhancing Data Analysis Through Effective Feature Extraction

The practical implications of these findings lie in their ability to extract features that benefit coaches, analysts, and stakeholders in optimizing team strategies and predicting match outcomes. While recognizing limitations, such as the reliance on a specific dataset from the Qatar FIFA World Cup 2022 league matches and the exclusion of contextual elements, it is crucial to acknowledge the need for future research to validate and expand upon these findings. This can be achieved by incorporating diverse datasets and considering additional contextual factors during the feature selection process for data analysis. The real-world implications of these studies can be found in their capacity to extract traits that help coaches, analysts, and stakeholders optimize team plans and anticipate match outcomes. While noting limitations such as the use of a single dataset from the Qatar FIFA World Cup 2022 league matches and the removal of contextual components, it is vital to recognise the need for additional research to validate and expand on these findings. This is possible by integrating several datasets and taking additional contextual elements into account during the feature selection process for data analysis.