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.
A look at what it means to have a “juiced” ball.
Forecasting player performance using batted balls with variables stripped out.
Doing the math once again to figure out the increase in home runs.
Delving deep into the world of college baseball statistics.
Has Pittsburgh broken the code to inducing ground balls?
Breaking things down component by component in search of an answer.
Scratching the surface of being able to accurately gauge whether a batted ball’s characteristics should make it a hit or an out.
What does it take to be a good worm burner?
Finding the answer is as evasive as ever.
Having more and better data will increase the skills of our seers.
Using Statcast data to study the flight of a baseball.
What hitters did, what they should have done, and how some over- or under-achieved.
What pitch type can be hit the farthest, and how is that accomplished?
Let’s apply defense independent statistics to batters!
Is the Rogers Centre’s new turf unfriendly to ground balls?
We have neat new statistics. Now we have to figure out what they they mean — and don’t mean.
One more entry to Fenway Park’s already substantial catalog of quirks.
Why did two seemingly similar home runs carry so differently?