9th International Conference on ICT for Sustainable Development

Authors - Muhammad Ashar Reza, Papineni Sai Charan, Pranit Prasant Pai, Pratham R Shetty, R Bharathi, Sandesh B J
Abstract - Cricket is a sport adored by people all over the world. It transcends mere competition between two teams of eleven players. It comprises an extensive ecosystem including fans, media, coaches and technology. As the popularity of the sport soars to new levels and investments in players increase, a data-driven approach towards decision-making is the need of the hour for cricket teams all around the globe. A model-based recommender system for cricket team selection is introduced which takes into consideration various key aspects of the game such as player statistics, match-ups and pitch conditions. Further, the results and validations for matches in the 2023 One-Day International World Cup held in India are presented. The research leverages data science, machine learning and graph analysis concepts in order to enhance cricket team selection and also offers a comprehensive framework for cricket enthusiasts, analysts and team management looking to offer deserving players a contract.