Metric Explainers

US Open Projections: Rahm, Morikawa and Other Top Fantasy Plays at Torrey Pines

We're breaking down how we project fantasy performance, which golfers are the best value, and how projected ownership can impact those values.

6 days ago Kyle Cunningham-Rhoads

Metric Explainers

Command+: How Innovative Pitchers Are Changing the Way Command Is Evaluated

Command+ can reveal which pitchers truly have the best command, but the metric is undergoing change as hurlers continue to get creative with their repertoires.

1 month ago Taylor Bechtold

Metric Explainers

An Inside Look at How We Create Our Golf Simulation Skeleton

In our first golf explainer, we introduced FRACAS, a proprietary global ranking method for men’s golf. With FRACAS established, we can use the player rates we’ve created to simulate tournaments and detail how the…

3 months ago Kyle Cunningham-Rhoads

Metric Explainers

Introducing FRACAS: A Precise Golf Ranking Model Using Field Rating and Course-Adjusted Strokes Gained

We're exploring the leading ranking systems in golf today, explain FRACAS, then put it to work to identify some of the underrated golfers in the game today.

3 months ago Kyle Cunningham-Rhoads, Kevin Chroust

Metric Explainers

What Are Expected Goals (xG)?

Expected goals (or xG) measures the quality of a chance by calculating the likelihood that it will be scored from a particular position on the pitch during a particular phase…

3 months ago Jonny Whitmore

Metric Explainers

Shape Analysis: Automatically Detecting Formations

Shape Analysis uses tracking data to automatically identify a team’s shape, both in and out of possession, during a game.

3 months ago Jonny Whitmore, Thomas Seidl

Metric Explainers

Raw Value: A Comprehensive Pitch-by-Pitch Player Evaluation

By now, every analytical baseball mind knows there are countless statistics like batting average, slugging percentage and RBIs that evaluate performance based on the cumulative result of a player’s at-bats.…

3 months ago The Analyst