Handball Match

Handball match outcome prediction is a burgeoning research area focusing on developing accurate and interpretable predictive models. Current research employs machine learning techniques, including deep learning and statistically enhanced learning models, to analyze historical match data and predict future results with accuracies exceeding 80%. These models are augmented by explainable AI methods to provide insights into key factors influencing match outcomes, offering valuable analytical tools for coaches and analysts. This work contributes to a deeper understanding of handball dynamics and enhances strategic decision-making within the sport.