API Instructions
The Fantasy Football Analytics API allows developers to programmatically access our data in JSON format. Users must pay for a standalone subscription to obtain a unique API key granting access.[…]
Tagged: R
-
Call for Help: R/Shiny Developer
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[…]
-
2017 Fantasy Football Projections
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.[…]
Who Has the Best Fantasy Football Projections? 2017 Update
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).[…]
-
Win Your Daily Fantasy (DFS) League with this Lineup Optimizer
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 ffanalytics R Package for Fantasy Football Data Analysis
Introduction We are continuously looking to provide users ways to replicate our analyses and improve their performance in fantasy football. To that aim, we are introducing the ffanalytics R package that includes[…]
-
2016 Fantasy Football Projections
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[…]
Which are More Accurate: Fantasy Football Rankings or 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[…]
-
Who Has the Best Fantasy Football Projections? 2016 Update
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[…]
Call for Help: Front-End Javascript/.NET Web App Developer
Dear Fantasy Football Analytics Community, Two 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[…]
Tabs
The ffanalytics R Package for Fantasy Football Data AnalysisJune 18, 2016
2015 Fantasy Football Projections using OpenCPUMay 28, 2015
Win Your Fantasy Football Auction Draft: Determine the Optimal Players to Draft with this AppJune 14, 2013
Win Your Fantasy Football Snake Draft with this AppSeptember 1, 2013
FFA Insider
