In sports science and data analytics, injury preventionInjury prevention and performance optimisation are important to ensure that any elite performer can sustain performance. The chapter explores how advanced sports analyticsSports analytics tools and methods can help in injury management and performance enhancement. This chapter promotes the use of predictive insights, biomechanical modelling, and up-to-the-minute monitoringFatigue monitoring to maximise performance and reduce injury, as illustrated by a comprehensive case study of the Lionesses, the UK’s national women’s football team. The chapter starts by looking at injury trends in women’s football and identifies important predictors such as training loadTraining load, recoveryRecovery metrics, and biomechanical stresses. It talks about how the Lionesses’ data-centric approach used wearable tech and AI models to monitor player fatigue, detect signs of injury, and tailor individual training. For instance, computer visionComputer Vision (CV) can be used to analyse the movements of players when in a high-stakes match so that coaches can prevent damage in real time. The chapter ends with a reflection on the impact of these innovations on women’s football and sports science. This statement shows that sports analyticsSports analytics is helping redesign how athletes perform and making athletes healthy and fit for a longer span of time.