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pi-football is a Bayesian Network model, published during my PhD, that combines objective with subjective information to predict football matches. Subjective information represents factors that are important for prediction, but where historical data are unavailable or difficult to obtain.

 

pi-football v1.32, described in [1], was used to generate predictions for the English Premier League season 2010/11. The predictions were published online at www.pi-football.com (web hosting is no longer maintained) prior to the start of each match. You can download the predictions in CSV format here.

 

pi-football v2.48, described in [2], was used to generate predictions for the English Premier League season 2011/12. These predictions were also published online at www.pi-football.com prior to the start of each match. You can download the predictions in CSV format here.

 
     
     
[1]

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: 322, 339. [DOI, draft]

Discussed in CS4FN.

 
[2]

Constantinou, A. C., Fenton, N. E. & Neil, M. (2013). Profiting from an inefficient Association Football gambling market: Prediction, Risk and Uncertainty using Bayesian networks. Knowledge-Based Systems, 50: 60-86. [Open access DOI, PDF].

 
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  published online, 05/11/2018  
     
                               

                       
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