Modelling and prediction in Football

Karlis, D. and Ntzoufras, I. (2011). Robust fitting of football prediction models.  IMA Journal of Management Mathematics, 22, 171-182. [slides are available here]

 

Karlis, D. and Ntzoufras, I. (2009). Bayesian modelling of football outcomes (using the Skellam's distribution), IMA Journal of Management Mathematics, 20, 133-146. [slides are available here]

 

Karlis, D. and Ntzoufras, I. (2003), Analysis of Sports Data Using Bivariate Poisson Models,  Journal of the Royal Statistical Association, D [Statistician], 52, 381-393. 

 

Karlis, D. and Ntzoufras, I. (2000). On modelling Soccer Data., Student, 3, 229-244.

Competitive Balance

Manasis, V. and Ntzoufras, I. (2014). Between-seasons Competitive Balance in European Football: Review of Existing and Development of Specially Designed Indices. Journal of Quantitative Analysis of Sports,  10, 139–152.

 

Manasis, V., Avgerinou, V., Ntzoufras, I. and Reade, J. (2013). Quantification of competitive balance in European football; Development of specially designed indices. IMA Journal of Management Mathematics,  24 (3), 363--375.

 

Manasis, V., Avgerinou, V., Ntzoufras, I. and Reade, J.J., (2011). Measurement of competitive balance in professional team sports using the Normalized Concentration Ratio. Economics Bulletin, 31, 2529–2540.

 

Manasis, V., Avgerinou, V. and Ntzoufras, I. (2010). A New Approach for the Measurement of Seasonal Competitive Balance. In European sports models - similarities and differences in international comparative perspective, Emrich E., Pierdzioch C., Büch P.-M. (eds.) in collaboration with Bischoff F., Series of Sports Economics, Volume 13, Hofmann-Verlag GmbH & Co, Germany.

Sport Economics

Manasis, V., Ntzoufras, I. and Reade, J. (2015). Measuring Competitive Balance and Uncertainty of Outcome Hypothesis in European Football, arXiv:1507.00634v1 [stat.AP] (submitted).

 

 

 

 

 

 

 

 

 

Modelling Volleyball Data

Egidi, L. and Ntzoufras, I. (2019). A Bayesian Quest for Finding a Unified Model for Predicting
Volleyball Games
, Journal of the Royal Statistical Society C, 69, p.  1307-1336

Ntzoufras, I., Palaskas, V. and Drikos, S. (2019). Bayesian Models for Prediction of Volleyball Set Differences. arXiv:1911.04541 [stat.AP] (submitted).

Drikos, S., Ntzoufras, I., and Apostolidis, N. (2019). Bayesian Analysis of Skills Importance
in World Champions Men'As Volleyball across Ages
. International Journal of Computer
Science in Sport, 18, 24{44.

Drikos and I. Ntzoufras (2015). Skills Importance across Ages for Men’s Volleyball. Proceedings of the 5th International Conference on Mathematics in Sport, p. 24–31

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