if you want to understand Statcast, you need to know a little bit about radar.
This in-depth look at run values examines the value of each ball not put in play, and thus, the value of catchers who know how to frame.
Changing speeds and location? More questions lead to … more questions.
Is Kris Bryant’s eye color going to pose him a problem in Chicago?
Pitches might vary substantially in value based solely on when they’re thrown
Who really does have the best pitch?
Why did two seemingly similar home runs carry so differently?
Will throwing harder land a pitcher on the disabled list?
Taking a deep dive into the multitude of fascinating statistical anomalies and oddities to look forward to this season.
A 0.00 ERA this season? Or 73 home runs? There’s a (tiny) chance.
Projection systems do most of the heavy lifting, but there are marginal improvements to be made.
Even if we completely trust projections, some win totals will miss by a fairly large margin.
Proposing a new pitcher quality estimator that approximates the pitcher’s current ability.
The beginning of a step-by-step look at the questions we should be trying to answer when we explore pitch sequencing.
Can various stats be combined to give a clearer look at pitcher values?
Projecting the fortunes for low-minors pitchers is even harder than it is for hitters.
There are several explanations for Sammy Sosa’s decline in the final years of his career. Which is true?
Is there a way to measure how a pitcher was using his fastball, and mixing it, relative to his other pitches?
The SABR Diamond Dollars case competition has grown into a mutually beneficial event for all parties involved.
Where walks come from and why some batters are so good at drawing them.