I have a complicated relationship with DFS. The thrill of possibly winning a large sum of money, the craftiness involved in creating a winning lineup, and the anxiety of creating the perfect lineup that will almost certainly fail. This is all balanced out by the countless hours of research, statistics, and dread that goes into […]
The Fantasy Tool That Will Change Your Life Read More »
DFS or Daily Fantasy Sports is a genre of fantasy that involves building a team from a designated “salary” each week. Players range in salary depending on their popularity, matchup, points per game, etc.… but every week you are given 50,000 dollars to build your lineup. I play DraftKings, so this includes 1 QB, 2
A Statistician’s Journey into DFS Read More »
Classification and Regression Tree (CART) modeling sounds very boring, but it is actually one of the most interesting and intuitive modeling methods available. I have covered two types of modeling so far: Multi-Linear Regression and Neural Networks. CART Modeling is by FAR the simplest and most comprehensible. Cart modeling allows us to create a visible
How to use Classification Trees to Predict the Future Read More »
In my last article, I explained how Neural Networks were the future of predicting football. In this article, I would like to explain why that is not the case. At least why that is not the case. YET. There are downsides to Neural Networks no matter how good they are at predictions. As I have
How to Use Multiple Linear Regression to Predict WR Production Read More »
Modeling is the most powerful and underutilized tool in how we as a population analyze and understand football. Often I see people use metrics to try and understand/predict football. They use these metrics individually to understand small segments of a grand picture. For instance, one popular metric I see used is Market Share (MS), but
Using Regression and Neural Networks To Predict Fantasy Football Read More »
