We are facing a troubling decline in offense, but are shifts really the cause?
It’s time to build a better heat map.
Do teams re-sign only their healthy players? The answer may surprise you.
How much credit should the pitcher get for reining in runners? Here’s a framework for figuring that out.
We’ve just scratched the surface when it comes to using PITCHf/x data to tell us about hitters.
Diving back into the effects of extra-long games — before noticing someone drained the pool.
Creating a tool to show when or if a player should be shifted.
Introducing Weighted Batted Ball Runs Above Average.
Offensive production is not linear – one and one equals more than two. How can a team take advantage of this blind spot in advanced statistics?
In part three, we lay out the net value for 2014 draft picks and ruminate on this from both the team and player perspective.
In part two of three, we examine the value each draft pick provides relative to its cost.
In the first part of a three-part series, previous studies to quantify draft pick valuation are updated.
As we see with the case of Danny Salazar, not necessarily.
Believing you have it all figured out can be dangerous.
Some things the game can teach us when it goes to the 10th.
There are many variables at play. Can they be teased out?
A first attempt at defining the vertical edges of the strike zone for the Edge% metric.
Sometimes, the right solution isn’t the simple solution.
Don’t shoot the forecaster.
The game’s story stat has a multitude of interesting and fun uses.