metrics

Christian Watson

Breaking Down the Metrics: Dynasty Football Wide Receivers

Dynasty / By /

In the fantasy football Twitter space, different and new stats and metrics are thrown out constantly by people talking about their favorite and least favorite players. My job as a numbers-based analyst is to understand which statistics best project fantasy success. In this mini-series, I will go through each position and tell you some of my favorite stats, how much they matter, and stats I often see that do not matter as much as someone might want you to think. Let’s dive right in with our first position: wide receiver.

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Navigating Your Rookie Draft- 2021 Running Backs

Rookie RB Prospect Model: Regression Analysis

Rookie / By /

Today’s fantasy landscape grows more and more complex. When evaluating rookie prospects we have so many different stats and metrics to look at. The hard part is figuring out which ones are important and which do not matter. That is where regression analysis can come in and play a large role. I will be using regression analysis to help build a predictive grading model that can be used to easily sift through many players to quickly identify guys to avoid and target. Our end goal when selecting rookies is who will be the best fantasy assets when they hit the NFL, and the best assets are the ones who score us the most fantasy points. To create my rookie model I used regression analysis and sorted through multiple different metrics to determine which correlated to NFL fantasy points per game (FP/G) the most and which correlated the least. 

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