Archive for the 'Statcast' Category

There are numerous ways to show just how bad pitchers are when it’s their turn to bat.

Clayton Kershaw’s been giving up dingers this year. Weird. Should we worry about it?

Jon Roegele is back with his periodic update about the ups and downs and ins and outs of the strike zone.

Using data to help imagine LeBron James as a baseball player.

The Statcast product is constantly evolving. Let’s see what’s different this season.

Updating an old prediction with new data to determine how a cigar container will work in the desert.

New research into measuring pitching on a pitch-by-pitch basis.

Can small sample sizes actually tell us something significant about players’ performance?

“I don’t buy any of that crap.”

It’s a top-notch scientific data collection system, but even it has its blind spots.

Playing with the newest statistic to see if more can be learned from it.

Pitch calling and its influence on the pitcher-hitter relationship

As more batted ball data becomes available, we are able to make better projections. Here’s another step in the process.

If you’re going to hit it hard here’s how to hit it so you hit where you want it.

Forecasting player performance using batted balls with variables stripped out.

A new way to categorize what types of hits hitters hit.

Scratching the surface of being able to accurately gauge whether a batted ball’s characteristics should make it a hit or an out.

Using Statcast data to study the flight of a baseball.