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"Predictive Methods for Football and Betting Markets" by Enrique Dóal Pérez Frias is a data-driven exploration of football match prediction and betting market inefficiencies. The book addresses fundamental questions like which variables best predict a football team's future results, how many games are needed to accurately assess team or player performance, and whether it is more advantageous to bet on winning or losing streaks. It also examines probabilities for events such as relegation for newly promoted teams, optimal squad sizes, and distinctions between the best and worst clubs.
Drawing from a vast historical database of over 200,000 football matches, the book applies data mining and statistical techniques to uncover relevant insights for both football analysis and betting strategies. It also assesses bookmakers and the potential inefficiencies in betting markets that bettors can exploit, presenting the content in an accessible and statistical style. The author Enrique Dóal Pérez Frias combines his expertise in economics, econometrics, and predictive modeling for a thorough treatment of football analytics aligned with betting market dynamics.
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