Stefon Diggs, Cole Beasley, and Why Fantasy Football Doesn’t Have to Be That Hard: An Introduction to Some New (and Old) Advanced Wide Receiver Metrics
Image Credit: Dustin Bradford/Icon Sportswire. Pictured: Stefon Diggs.

Blair Andrews examines some new advanced metrics in a massive correlation matrix. Should we still be focusing on the same statistics when predicting wide receiver performance?

At RotoViz, we always aim to have the most advanced and predictive fantasy metrics in the industry. This means not only having access to many different metrics but also teasing out which metrics give us actual signal, and which are just noise.

In anticipation of some new data we’ll be rolling out over the next few months, I wanted to give a sneak peek at some of the top WR metrics you’ll soon be able to find on our site and examine how they perform in predicting future seasons. The following correlation matrix lists some of the new metrics in addition to a few of the old classics and measures how well they correlate with the same metrics in future seasons.

After the matrix, I’ll explain why some results aren’t as good as they seem, while others are even better.

Which WR Metrics Matter, and Which Don’t?

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Blair Andrews

Managing Editor, Author of The Wrong Read, Occasional Fantasy Football League Winner. All opinions are someone else's.

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