Bot I created that scrapes the uses Reverse Engineering to scrape the PrizePicks website, and then cleanse and format this data to be analyzed. After this I continue to utilize Reverse Engineering to scrape ESPN's large dataset and gather a wegihted average of a statistic for each player that has a statistic line made for them. This average in cludes the average of that player for the season, the average of that player in their last 7 games, and the average of that player over the last 3 games against the specific team that they are playing. It then calculates the difference between the predicted value, and the PrizePicks statistic line and returns the values with the biggest differences (the statistically most likely lines to hit).