For a club with high ambitions, it is important to have a data strategy and a cutting edge analysis system. We spoke with Le Havre's Head of Analysis Julien Momont about their football strategy, how they embrace data analysis, contextualizes data, and use SportAnalytics Platform to...
Advancements in technology have revolutionized the way football data is collected using high-quality video recording, machine learning, computer vision, and artificial intelligence. Learn about the most popular data sources in football and how SportAnalytics addresses inconsistencies among data providers with our proprietary data model....
Performance Analysis uses systematic observation and various tools to provide accurate, and reliable information to better comprehend what happens on the pitch. Its goals include improving athlete performance, developing game strategies, enhancing team performance, identifying talent, and evaluating player and team progress over time. At...
Expected Threat (xT) is a simple, effective metric for measuring a player's attack contribution in a football match. It calculates the probability of scoring based on the ball's position on the field. The xT model can highlight specific players' strengths and highlight their contributions to...