Publications by Isaac Petersen
Identify Fantasy Football Sleepers with this Shiny App
This post describes a Shiny app that identifies fantasy football sleepers. The app allows you to modify your league settings, and calculates robust averages of projections across numerous sources. Best of all, the app updates the selections automatically with your inputs, and you can download the data for yourself. So let’s get to it....
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Win Your Fantasy Football Draft with These Shiny Apps: 2014 Update
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 the best players to draft (highest projected points within your risk tolerance) given your league settings. The optimizers use the most accurate ...
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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 by the variability of their projected points across sources. As a reader pointed out, another form of meaningful variability is week-to-week variability (in ...
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How to Download and Run R Scripts from this Site
This post outlines how to download and run R scripts from this website. We have many Fantasy Football scripts that show how to download and calculate fantasy projections, determine the riskiness of a player, identify sleepers, and much more! What Software You Need Git and GitHub (for downloading the scripts) R (for running the scripts) ...
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Who Has the Best Fantasy Football Projections? 2015 Update
In prior posts, I 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). In the latest version of our annual series, we hold the forecasters accountable and see who had the most and least accurate fantasy football pr...
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How Fantasy Football is Like Stock Picking (Including a Shiny App)
In this post, I compare fantasy football to stock picking. There are important lessons we can learn from financial forecasting that can be applied to forecasting football players’ performance. Fantasy Football is Like Stock Picking When picking players for your fantasy team or when picking stocks, your goal is to pick players/stocks that oth...
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2015 Fantasy Football Projections using OpenCPU
We are releasing our 2015 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 incorporate more sources of projections than any other site, and have been the most accurate projections over the last 3 years. You can access th...
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Examining the Accuracy of Fantasy Football Projections with an Interactive Scatterplot in R
In prior posts, we presented the accuracy of different analysts in projecting football players’ performance, finding that the average was more accurate than any individual analyst. In this post, we present an OpenCPU app to examine the accuracy of historical fantasy football projections. The app allows you to examine the accuracy of histor...
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How Do Auction Values Differ by the Number of Teams in Your League? A Multilevel Model
Many sites publish fantasy football players’ average auction values (AAV) for use in auction drafts. But these auction values often assume you play in a 10-team league. If you have a different number of teams in your league, the auction values will be different. This post examines how auction values differ based on the number of teams...
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2015 Fantasy Football Auction Draft Optimizer using OpenCPU
We are releasing our 2015 update to the highly requested Auction Draft Optimizer in an OpenCPU app. The app allows you to calculate custom projections for your league based on your league settings. The projections incorporate more sources of projections than any other site, and have been the most accurate projections over the last 3 years. �...
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