This is not a typical Dynasty Command Center piece. For those of you who haven’t read the series before, I typically choose a specific player, trade, or issue, dive in to the data, give you my analysis, and send you off with actionable instruction.
This piece is a departure from that construct. The off-season is a natural time to think back on what you could have done differently in the previous season, so I’ve spent a lot of time reflecting on how I could be a better player and a better analyst. I amassed a collection of those reflections, which ultimately led me to spend countless hours developing a data-driven dynasty player valuation engine which assigns baseline value to players based on their production and start-ability rates (I have come to strongly feel the dynasty community doesn’t value production enough), and modifies that value through a series of equations to remove the flaws that plague human rankers attempting to perform case-by-case player grading.
I’m going to unveil the results of that project with you soon. But first, I’m going to make you walk the journey with me.
Overcoming Bias, Groupthink, and Mere Ownership Effect in Player Valuation
Latest posts by Curtis Patrick (see all)
- 20/20: Christian McCaffrey - February 23, 2017
- Dynasty Command Center: Making the Machine, Part One - February 16, 2017
- Dynasty Command Center: Overcoming Bias, Groupthink, and Mere Ownership Effect in Player Valuation - February 14, 2017