Dear Fantasy Football Analytics Community, In 2013, we at Fantasy Football Analytics released web apps to help people make better decisions in fantasy football based on the wisdom of the[…]
Dear Fantasy Football Analytics Community, Four years ago, we released web apps to help people make better decisions in fantasy football based on the wisdom of the crowd. Over the past[…]
We are releasing our 2017 fantasy football projections in a Shiny webapp using R. The app allows you to calculate custom rankings/projections for your league based on your league settings.[…]
In prior posts, we demonstrated how to download projections from numerous sources, calculate custom projections for your league, and compare the accuracy of different sources of projections (2013, 2014, 2015, 2016).[…]
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. The app includes the most accurate fantasy football projections available,[…]
The creator of Fantasy Football Analytics discussed the website in a recent interview with Rotoviz on the Numbers Game Podcast. We discussed the “wisdom of the crowd”, subscription vs. free projections, reasons[…]
This post outlines how to download our fantasy football projections, which include more sources of projections than any other site and are the most accurate fantasy football projections available. You can download[…]
We are releasing our 2016 fantasy football projections in an OpenCPU app. The app allows you to calculate custom rankings/projections for your league based on your league settings. The projections[…]
When deciding how to compare players in fantasy football, managers have an important decision: whether to compare players with rankings or projections. In this article, we compare the accuracy of[…]
In prior posts, we demonstrated how to download projections from numerous sources, calculate custom projections for your league, and compare the accuracy of different sources of projections (2013, 2014, 2015). In[…]