Author Archive

2019 MVP Winners as Voted by Dead Sportwriters

“Alex Bregman is the runaway AL MVP for 2019” – MVP voters from the 1950s & 1960s

“Mike Trout finishes a disappointing 5th in 2019 AL MVP voting” – MVP voters from the 1960s & 1970s

“Christian Yelich is the near-unanimous 2019 NL MVP” – MVP voters from the 1980s & 1990s

“Xander Bogaerts narrowly misses the 2019 AL MVP” – MVP voters from the 1960s & 1970s

The Evolving MVP Voter’s Criteria

The winner of the MLB MVP awards is a function of two factors: How the players performed, and how the electorate evaluated that performance.

Much attention is paid to how players perform and how they stack up historically to peers from different eras, but for MVP selection, little attention has been paid to how the electorate has changed and shifted the definition of the Most Valuable Player.

Since 1931, the Baseball Writers Association of America (BBWAA) has voted and awarded each league’s MVP award. Over this period of time, the world’s understanding of player performance and what contributes to winning has changed dramatically. The 1931 voters probably looked at home runs, RBIs, and batting average leaderboards printed at year-end in their daily newspaper before filling out their ballot. That’s not to accuse them of being narrowly minded, it was just all they had available to them and all the baseball world knew to look at.

On the other hand, the 2019 voter (hopefully) spent at least a few minutes on FanGraphs or a similar site looking at things like WAR, wRC+, and DRS, and at best also considered advanced Statcast data and maybe even built their own AI-powered simulations to model a season without the player to see how much worse their team performed. At least, that’s what I would do if I had a ballot, and that’s what I would call “responsible voting” in 2019. Read the rest of this entry »

Judge and Altuve: A Tale of Two Strike Zone Oddities

Aaron Judge and Jose Altuve seem like they shouldn’t coexist in Major League Baseball, but their mutual success reveals an amazing fact about different paths to pitcher dominance.

Here’s a line of reasoning using the transitive property about short hitters and small strike zones:

  • If a player is shorter, then his shoulders are closer to his knees.
  • If his shoulders are closer to his knees, his strike zone should be smaller.
  • If his strike zone is smaller, then it should be harder for the pitcher to throw strikes.
  • If it is harder to throw strikes, he should get on base more.
  • Shorter players should have higher on-base percentages.

But this isn’t how it actually works. Why not?

Aaron Judge is tall and Jose Altuve is short. That’s analysis. They both are very productive at the plate. That’s deeper analysis. However, Judge gives pitchers a 25% larger strike zone to target due to his 6-foot-7 height, so he must be doing something different and better than Altuve to offset the larger area he gifts to pitchers with every pitch.

Read the rest of this entry »

The Most- and Least-Potent Pitch Combos in 2018

I believe that pitches aren’t thrown in a vacuum, and the effectiveness of one pitch is certainly affected by the pitches that preceded it. Thus, I wanted to identify the most- and least-potent 1-2 pitch combinations in the 2018 Major League Baseball season. To accomplish this, I built a Pitch Combo Effectiveness Tool based on all 2018 pitches thrown in the major leagues.

The approach I took was to¬†evaluate every pitch as the second pitch in a 1-2 combo (forcing us to exclude first pitches in an at-bat). I defined these pitch combos using the pitcher, the pitch types of both the first and second pitches (e.g. “four-seam fastball followed by a curveball”), and the pitch location change from the first to the second pitch (e.g. “the second pitch was further down and more inside than the first pitch”). I then gauged the effectiveness or value of these pitch combinations using the sum of the wOBA added for both the first and second pitches. Lastly, to ensure we were only looking at common pitch combos, we filtered the results to pitch combos observed at least 10 times in 2018.

The chart showing every pitch combo is below, and you can click it to go to the full tool and results:

Most and Least Effective Pitch Combos by wOBA Added
Most and Least Effective Pitch Combos by wOBA Added

Read the rest of this entry »

Pitch Selection and the 3 Pitch Paths Tool

Pitch selection is like Cold War game theory.

The pitcher/catcher (battery) and the hitter are trying to balance a guessing game of what their counterpart is thinking with their own capabilities to develop a decision or expectation about the next pitch thrown.

The battery is trying to strike the delicate balance of a pitch that will result in a strike or an out (usually by being put into play) and give the hitter the least opportunity to get on base. The hitter is trying to anticipate that decision to maximize their ability to react successfully. This becomes circular, since the hitter’s ability to anticipate correctly improves their ability to get on-base, which changes the calculus and pitch decision for the battery, which changes the hitter’s ability to anticipate correctly. Just like the nuclear stand-off of the Cold War, a low-and-inside slider hit into the gap or a Soviet Sarmak from Siberia shot down by Star Wars lasers. Same thing, right?

Pitcher: I should throw this.

Hitter: I will anticipate this.

Pitcher: Then I should throw that.

But it’s not – because baseball is fun and the Cold War was humans (not) trying to murder each other by the millions. Instead let’s say pitch selection is just like keeping secrets from your Friends:

Given this stand-off of anticipation, the battery can take one of two approaches:

1.) Complete randomness, or…

2.) Sequencing pitches that build on each other to keep the hitter off balance.

This is the old pitching-coach speak of “changing the hitter’s eye level, keeping him on his heels, and mixing speeds.” Read the rest of this entry »