![]() Third, based on the user’s league scoring settings, we calculate players’ projections using an average of the analysts’ projections (by default, the sources are weighted according to historical accuracy). Second, we scrape player prices from various DFS websites. ![]() How it Worksįirst, we use a script to scrape player’s projected points from numerous sources using R. To use the DFS Optimizer App, you will need to subscribe to FFA Insider (for more info, see here). Here’s a more thorough description: To Use the DFS Optimizer App Best of all, the app updates the selections automatically with your inputs, and you can download the data for yourself. It also allows you to change your risk tolerance to avoid picking risky players. Based on your league settings, it determines which players you should pick to maximize your starting lineup’s projected points. You can even choose how much weight to give each source. The app includes the most accurate fantasy football projections available, and calculates a robust average of more sources of projections than any other website (see here for a list of the sources of projections). ![]() In this post, we use a Shiny app in R to determine the best possible players to pick in a daily/weekly fantasy football (DFS) league. ![]()
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