I had made some changes to my model on Friday and screwed things up a little bit, after finding the mistake late Friday evening (post-bounce) I noticed my simulation then predicted a Sydney victory but I was happy enough to take the gamble on the Eagles! Some tough games went my way in the tipping (thanks Saints!) but it didn’t reward me with too many bits.
I’m currently drafting some changes to my model to include a predictor variable for weather once I nail down a process for scraping and categorising weather for past matches. I’m sure this will have a positive effect on reducing my MAE; which is unacceptable.
I’m hanging on to second place in my table since I’ve gone “live”… assuming bits are more important 😛