The Real Work of Data Science
John Wiley and Sons Ltd, Hoboken, United States
Exploring and modelling team performances of the Kaggle European Soccer Database
Statistical Modelling, 19, 1, 1-29
Special Issue “Statistical Modelling for Sports Analystics”
Guest editors: Andreas Groll, Marica Manisera, Gunther Schauberger, Paola Zuccolotto
On classifiers to predict soccer match results
FedOAPress Book, Napoli
Special Issue “Statistics in Sports”
Guest editors: Paola Zuccolotto, Marica Manisera, Ron Kenett
Forecasting football match results in national league competitions using score-driven time series models
Tinbergen Institute Discussion Paper, TI 2017-062/III
Information Quality Data Analytics: The Potential of Data and Analytics to Generate Knowledge
John Wiley & Sons, Ltd.
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Statistical evaluation of football performance depending on the socio-economic development of countries
Statistical Journal of the IAOS, 32, 3, 403-411
Prediction of major international soccer tournaments based on team-specific regularized Poisson regression: An application to the FIFA World Cup 2014
Journal of Quantitative Analysis in Sports, 11, 2, 97-115
Extended Ordered Paired Comparison Models with Application to Football Data from German Bundesliga
Advances in Statistical Analysis, 99, 2, 209-227
Discovering the Drivers of Football Match Outcomes with Data Mining
Quality Technology and Quantitative Management, 12, 4, 537-553
A dynamic bivariate Poisson model for analysing and forecasting match results in the English Premier League
Journal of the Royal Statistical Society: Series A, 178, 1, 167-186
Football Mining with R
Data Mining Applications with R (Yanchang Z., Yonghua C. eds.), chapter 14, Elsevier
Spain retains its title and sets a new record – generalized linear mixed models on European football championships
Journal of Quantitative Analysis in Sports, 9, 1, 51-66