2015 Fantasy Football Auction Draft Optimizer
We are releasing our 2015 update to the highly requested Auction Draft Optimizer. The app allows you to calculate custom projections for your league based on your league settings. The[…]
We are releasing our 2015 update to the highly requested Auction Draft Optimizer. The app allows you to calculate custom projections for your league based on your league settings. The[…]
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[…]
Looking at fantasy football projections we have a group of experts providing their views on how a player will do during the football season. We have collected projections from several[…]
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[…]
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[…]
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[…]
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[…]
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,[…]
Overview American writer Lewis Grizzard once said that “The game of life is a lot like football. You have to tackle your problems, block your fears, and score your points[…]
The popular wisdom is that “massive workloads” result in a decline in running back productivity in the following season. For example, anecdotal evidence using Corey Dillon (2004) and Jamaal Anderson[…]