About DAISports
DAISports specializes in sports analytics and intelligence, with a strong focus on dashboards, data‑driven insights, and machine learning models. While I offer consultancy services for sports organizations and athletes — ranging from tailored analytical solutions to adaptable, ready‑made models and dashboards — this website primarily serves as a portfolio.
Here, you can explore a curated selection of my previous projects, analyses, and prototypes. Each piece reflects my approach to transforming sports data into meaningful, actionable intelligence. Whether you're interested in my technical methods, the ideas behind my models, or the practical applications of sports analytics, this portfolio provides a clear view of the work that defines DAISports.
Mission
My mission is to turn complex sports data into clear, actionable insights, giving you the competitive edge to excel on and off the field.
Vision
My vision is to empower sports organizations by leveraging data analytics to unlock insights, enhance performance, and drive smarter decision-making, ultimately shaping the future of sports through innovation and strategic intelligence.
Who am I?
I am a dedicated sports analytics professional with a deep passion for both data science and sports. With a strong background in analyzing football match data, player performance, and tactical trends, I combine my love for sports with advanced data techniques to provide valuable insights. My goal is to help sports organizations and teams make data-driven decisions, optimize athlete development, and improve overall performance. Through my work, I strive to bridge the gap between sports and analytics, using data to unlock new opportunities and strategies in the world of sports.
Eli Dehaene
I am a Business Engineer with a strong analytical background, holding a Master’s degree in Data Analytics and a Postgraduate degree in Sports Management. My passion lies at the intersection of data and sports, where I apply advanced analytics and machine learning to optimize decision-making in football and other sports. With experience in player valuation, performance analysis, and AI-driven scouting, I aim to bridge the gap between data science and sports strategy.