[1. Arabzad, A.C. (2014). Football Match Results Prediction Using Artificial eural Networks: The Case of Iran Pro League. International Journal of Applied Research on Industrial Engineering. Vol. 1, No. 3, pp 159-179.]Search in Google Scholar
[2. Constantinou, A.C., Fenton, N.E., Neil, M. (2012). pi-football: A Bayesian network model for forecasting Association Football match outcomes. Knowledge-Based Systems, 36, pp. 322-339.10.1016/j.knosys.2012.07.008]Search in Google Scholar
[3. Dixon, M.J., Coles, S.G. (1997). Modelling Association Football Scores and Inefficiencies in the Football Betting Market. Journal of the Royal Statistical Society: Series C (Applied Statistics). Vol. 46, No. 2. pp. 265-280.]Search in Google Scholar
[4. Dixon, M.J., Robinson, M. (1998). A birth process model for association football matches. Journal of the Royal Statistical Society: Series D (The Statistician), Vol. 47, No. 3, pp. 523-538.10.1111/1467-9884.00152]Search in Google Scholar
[5. Dobravec (2015). Forecasting the football world cup results using a matrix-factorization model. Elektrotehniški Vestnik, Vol. 82, No 1, pp 61-65.]Search in Google Scholar
[6. Hill, I.D. (1974). Association football and statistical inference. Applied statistics, Vol. 23, pp. 203-208.10.2307/2347001]Search in Google Scholar
[7. Karlis, D., Ntzoufras, I. (2003). Analysis of sports data by using bivariate Poisson models. Journal of the Royal Statistical Society: Series D (The Statistician), Vol. 52, No. 3, pp. 381-393.10.1111/1467-9884.00366]Search in Google Scholar
[8. Koopman S.J., Lit, R. (2015). A dynamic bivariate Poisson model for analysing and forecasting match results in the English Premier League, Journal of the Royal Statistical Society: Series A (Statistics in Society), Vol. 178, No. 1, pp. 167-186.]Search in Google Scholar
[9. Lee A. J. (1997). Modeling scores in Premier League: is Manchester United really the best. Chance, Vol. 10, pp. 15-19.10.1080/09332480.1997.10554791]Search in Google Scholar
[10. Maher M.J. (1982). Modelling association football scores. Statistica Neerlandica, Vol. 36, pp. 109-118.10.1111/j.1467-9574.1982.tb00782.x]Search in Google Scholar
[11. Moneyball (2011). Directed by Bennett Miller [Film]. USA: Columbia Pictures.]Search in Google Scholar
[12. Moroney, M.J. (1951). Facts from figures. London: Penguin]Search in Google Scholar
[13. Muller, H-G., Stadtmuller, U. (2005). Generalized Functional Linear Models. The Annals of Statistics, Vol. 33 No. 2, pp. 774-805.10.1214/009053604000001156]Search in Google Scholar
[14. Munđar, D., Šamarija, D. (2016). Primjena simulacijskih modela za prognoziranje rezultata u bowlingu, Poučak, Vol. 64, pp. 73-79.]Search in Google Scholar
[15. Munđar, D., Šimić, D. (2016) Croatian First Football League: Prediction of teams' ranking in the championship, Proceedings of the ISCCRO - International Statistical Conference in Croatia. Zagreb: Croatian Statistical Association, Vol 1, No. 1, pp. 211-217.]Search in Google Scholar
[16. Owen, A.J. (2011). Dynamic Bayesian forecasting models of football match outcomes with estimation of the evolution variance parameter. IMA Journal of Management Mathematics, Vol. 22, No. 2, pp. 99-113.10.1093/imaman/dpq018]Search in Google Scholar
[17. Rotshtein, A., Posner, M., Rakytyanska, H. (2005). Prediction of results of Football games base of Fuzzy model with genetic and neuro tuning. Cybernetics and Systems Analysis, Vol. 41, No. 4, pp. 619-630.10.1007/s10559-005-0098-4]Search in Google Scholar
[18. Rue, H., Salvesen, O. (2000). Prediction and Retrospective Analysis of Soccer Matches in a League, Journal of the Royal Statistical Society. Series D (Statistician), Vol. 49, No. 3, pp. 399-418.]Search in Google Scholar
[19. Sports Analytics Group, University of Toronto. Introduction to Sports Analytics, http://sportsanalytics.sa.utoronto.ca/2014/12/11/introduction-to-sports-analytics/, [03 January 2016] ]Search in Google Scholar