The value of a player depends significantly on the team he plays for or the one looking to acquire him.
These players tortured my team, are incomparable, or break analytics.
How can we best use previous data to accurately predict the future?
The good, bad, and unusual of major league baseball’s top freshmen.
There’s always hope. Well, almost always.
The 12th team featured in the Pyramid Rating System series has a pretty good third baseman.
Checking out a theory Evan Longoria suggested because of Chris Sale’s skill.
Reliever performance, and manager evaluations of that performance, can be fickle.
The demographics of baseball have changed greatly over the history of the game, but not always in the way we’d expect.
While everyone hopes for the next island superstar, what do the numbers really tell us?
Sometimes the truth is more mundane than fiction.
Creating pitch tunnels is great, but should doing so be the gold standard factor in pitch selection?
If the game report says it was warm and breezy, was that really the case on the field?
Seeking the balance between skill and “the mean” when determining just how good players truly are.
Now that there is data on manager challenges, we can get to the heart of this question.
“Optimal coverage” and “total coverage” are not the same thing.
The Killer-Bs and some killer pitching make the Astros a team to take seriously.
One player best illustrates the contrast between pure scouting and pure statistical evaluation.
Playing every day and being awesome all season is not an easy feat.
An examination of how much home field advantage matters in the postseason.