Metric Explainers

Metric Explainers

Who Are the Best at Generating Pressure and Stopping It During a Historic Passing Boom?

The ability to protect the QB and put pressure on the opponent’s passer is as important as ever. Here's who the data reveals as the best in these critical areas.

1 year ago Greg Gifford, Taylor Bechtold

Metric Explainers

Burn and Open Rates: When QB Performance Is Removed From the Receiver-Defender Matchup

We examine how burn and open percentages measure the impact of pass-catchers and their defenders by taking the passer out of the equation.

1 year ago Greg Gifford, Taylor Bechtold

Metric Explainers

Which QBs Make the Most Well-Thrown and Least Pickable Passes?

Because stats like completion percentage and quarterback rating don’t tell the whole story, we examine what well-thrown and pickable pass percentages reveal.

1 year ago Greg Gifford, Taylor Bechtold

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…

1 year ago Jonny Whitmore

Metric Explainers

What Are Expected Goals on Target (xGOT)?

Expected goals on target (xGOT) builds upon the original expected goals model (xG) by crediting on-target shots based on a combination of their underlying chance quality and the quality of…

1 year ago Jonny Whitmore

Metric Explainers

An Inside Look at How We Select Golf’s Top Fantasy Plays

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

1 year 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.

2 years ago Taylor Bechtold

Metric Explainers

An Inside Look at How We Calculate Our Adjusted Team Ratings

We're using a model that weighs advanced metrics and other factors on both sides of the ball to calculate the final adjusted team ratings of the regular season.

2 years ago The Analyst

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…

2 years ago Kyle Cunningham-Rhoads

Metric Explainers

Introducing FRACAS: A Precise 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.

2 years ago Kyle Cunningham-Rhoads, Kevin Chroust