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.
Projectionists should embrace the mystical side of the craft to find something new in this beautifully massive set of data.
A look at which projection systems did the best in 2014.
There are no definitive conclusions to be made just yet, but there is enough data to start thinking critically.
There’s reason to believe that so-so pitchers with good curves and sliders don’t use them enough.
Time takes its toll on hitters, even when they’re not playing.
In this article reprinted from The Hardball Times Baseball Annual 2015, the authors take the first steps toward building better major league equivalencies.