A Novel Approach to Predicting the Results of NBA Matches

The current paper presents a novel approach to predicting the results of basketball matches played in the NBA league. As opposed to previous work that merely take into account a teams own performance and statistics in predicting a teams outcome in a match, our approach also uses the data known about the opposing team in our endeavor to make that prediction. Our findings show that utilizing the information about the opponent improves the error rate of observed in these predictions.