Archive for the 'Stats' Category

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.

Win Probability Added is a great metric, but we can improve upon it.

What do we mean by consistency, and do we want it from our players?

Do pitchers with different styles make a difference?

New research into measuring pitching on a pitch-by-pitch basis.

Can small sample sizes actually tell us something significant about players’ performance?

An encouraging step toward designing a reliable fielding metric for minor leaguers.

It’s time that we try to capture human factors when evaluating future performance.

How do pitchers best deceive batters with their breaking balls?

In this all-time league, Cleveland is a top 10 team.

The Pacific Coast League is a hitter’s haven, but not for the reasons you think.

The Royals cracked the code. Now the rest of baseball is on to their secret.

The Milwaukee squad features a fearsome lineup and a flawed pitching staff.

For the first time online, here is Gerald’s essay from THT 2017.