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?
Updating a particular slice of the record book that doesn’t reflect how the game is played today.
An examination of the potentials of batted-ball platooning.
Getting ground balls is definitely a good thing. But does that make a pitcher who gets tons of them a good pitcher?
Can various stats be combined to give a clearer look at pitcher values?
With the Giants back in the postseason, it’s an appropriate time to examine how a home run comes to land in McCovey Cove.
A spinning baseball does amazing things, as every good pitcher and frustrated hitter knows.
We are facing a troubling decline in offense, but are shifts really the cause?
It’s time to build a better heat map.
We’ve just scratched the surface when it comes to using PITCHf/x data to tell us about hitters.
Just in time for the holiday weekend, we reach back in time to reminisce over some more great throws.
Creating a tool to show when or if a player should be shifted.
Introducing Weighted Batted Ball Runs Above Average.
Should the eephus pitch be thrown more frequently?
Not all ISOs are built the same.
Introducing pBABIP, a stat that simplifies the process of predicting batting average on balls in play.
It is often said that to succeed, you want to hit the ball on the ground and put pressure on the defense. But does that maxim hold up to scrutiny?
Come for the fabulous correlation tool, stay for the advanced batted ball analysis.