Weekly Variability Simulation of Fantasy Football Projections
In this post, I show how to estimate players’ week-to-week variability in fantasy football points. In a prior post, I demonstrated how to calculate a player’s risk level, as defined[…]
In this post, I show how to estimate players’ week-to-week variability in fantasy football points. In a prior post, I demonstrated how to calculate a player’s risk level, as defined[…]
By popular demand, I updated the fantasy football draft optimizers with 2014 projections. There are two draft optimizers (one for auction drafts and one for snake drafts). The optimizers identify[…]
This post describes a Shiny app that identifies fantasy football sleepers (players who are likely to exceed their statistical expectations and have a breakout season). The app includes the most accurate fantasy football projections available,[…]
In this post, I show how to download fantasy football projections from the web using R. In prior posts, I showed how to scrape projections from ESPN, CBS, NFL.com, and[…]
In this post, I demonstrate how to statistically identify sleepers in fantasy football using the wisdom of the crowd. The R Scripts The R Script for the “Wisdom of the[…]
This post describes a Shiny app that calculates custom fantasy football rankings and projections for your league. The app includes the most accurate fantasy football projections available. Based on your league settings, the app[…]
We use the software program R to conduct statistical analysis for this site (you can download it here). Many visitors of the site have expressed interest in learning R, so we’ve[…]
In prior posts, I demonstrated how to download, calculate, and compare fantasy football projections from ESPN, CBS, NFL.com, and FantasyPros, which aggregates projections from many different sources to increase prediction accuracy. Last year, I compared fantasy projections[…]
Many articles have been written on why R is better than Excel for data analysis. In this post, I will summarize the reasons why R is advantageous in most data[…]
In a previous post, I showed how to determine the best starting lineup to draft in an auction draft using an optimizer tool. In this post, we use a Shiny app in R to determine[…]