One application that I didn't mention in applied mathematics problems for soccer is the gaming industry. Betting decisions and devising odds are two examples. To this end, here is a simulation of match results at the 2006 World Cup using a Markov chain Monte Carlo (MCMC) algorithm. I'm traveling from Florida to Arizona tomorrow so […]
This was a post I wrote on my primary blog, and I’m reproducing it here.————–A couple of years ago I read Michael Lewis’ Moneyball, which is an excellent book on the 2002 Oakland Athletics and the behind-the-scenes maneuvering that assembled that team. I was living in the Bay Area when the A’s went on their […]
This is a new blog called Soccermetrics. The objective of this blog is to consider problems in applied mathematics and statistics that have applications toward a better understanding of soccer. These applications range from a macro level (team performance, comparative performance of national leagues) to a micro level (player performance and evaluation, influence of formations/strategies, […]
