Methodology: dingoT uses 6 different inputs ranging from ELO ratings to market values. The weight of inputs change as season progresses to reduce the importance of forward looking metrics such as betting odds in favor of actual achievements.
dingoT was not developed to be a predictive model; but since I have the data I calculated expected points based on dingoT for the upcoming season. Not all the inputs are complete as transfer window is very open. Hopefully I will have time time for dingoR(based on players) model predictions before season starts. dingoT does not foresee much of a separation at the bottom of the table and it is quiet close to Sporting Index predictions. I am pretty sure dingoR will be more interesting. (SI mid=SportingIndex)