Ioannis Ntzoufras is a Professor in Statistics at the Department of Statistics of the Athens University of Economics and Business where he currently serves as the Head of the Department (2020-22). He holds the Lefkopoulion Award of the Greek Statistical Institute (2000) and an honorable mention in the subject of Mathematics at the 2009 PROSE Awards for the book “Bayesian Modeling Using WinBUGS”, published by Wiley. He is currently associate editor at the Journal of the Royal Statistical Society, Series C (Applied Statistics) and at the Journal of Quantitative Analysis in Sports. He is the author of 59 scientific journals with more than 4500 citations (h-index 25) in google scholar– data retrieved on 16/6/2021. He is currently working on research projects related with Bayesian statistical methodology, Bayesian variable selection, applied statistics, biostatistics, psychometrics and sport analytics.
Football is the most popular and profitable sport in the world and is both fun and entertainment for both participants and spectators. The main reason why football intrigues spectators more than other sports is the uncertainty of the outcome. Moreover, the sport itself is generates an important amount of data and relevant discussions around the sport which are loosely related with measurable indexes and data.
This presentation will introduce and discuss some interesting data problems that arise in football and how analytics related methods can be used to provide answers to some of these problems including:
– Prediction models
– Player Performance Analysis and Evaluation
– Training optimization strategies
– Designing an optimal and “fair” league schedule
– Competitive Balance
Target Audience: Fans, Football Teams Managers and Administrators