Dataset for The Neural Scout: A Mathematical Analysis of Football Player Movements using AI

Summary:This dataset presents raw and processed telemetry data developed to train "The Neural Scout," a mathematical model for analyzing football player movements. The data were collected to validate the hypothesis regarding the predictive accuracy of AI models applied to the Iraqi Premier League. This dataset is of significant interest to researchers in sports analytics, computer vision, and applied mathematics.Data Content: The repository is organized as follows:Raw Data (.csv/.xlsx): Event-based measurements including passes, tackles, shots, and goals.Processed Data: Normalized datasets refined for algorithmic input.Model Output: Analytical results generated by the mathematical model, specifically focusing on spatial trajectory analysis (comparing X_Start to Y_Start coordinates).Visual Documentation: An image illustrating the analytical setup and data validation process.Methodology: Data acquisition was performed using KINEXON PERFORM GPS Pro, Veo, and Nacsport software under controlled competitive conditions. A proprietary Neural Network architecture (The Neural Scout) was applied to the dataset to predict and optimize player performance outcomes.