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@article{168344,
        author = {Ansh Beniwal and Sreedhar Mannam},
        title = {Strategic Edge - Data Science to Sports Analytics},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {5},
        pages = {607-623},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=168344},
        abstract = {Data science has emerged as a pivotal tool in transforming the world of sports analysis, offering deep insights into player performance, team strategies, injury prevention, and fan engagement. This research explores how advanced data analytics, machine learning, and statistical models can be applied to improve the quality of games and enhance decision-making in sports. By leveraging historical data, real-time metrics, and wearable technology, sports analysts can predict outcomes, optimize player fitness, and develop game strategies with higher accuracy. Key applications include performance analysis, injury risk assessment, tactical optimizations, and fan experience personalization. This work investigates the integration of data science in sports management, addressing its potential to revolutionize talent scouting, game-day strategies, and long-term player development. The research also highlights the ethical considerations and limitations surrounding data privacy and the accuracy of predictive models in high-stakes environments. Ultimately, this study aims to demonstrate how data science can not only enhance the competitive edge of athletes and teams but also elevate the overall quality of sporting events.},
        keywords = {},
        month = {October},
        }