Getting Dirty with StatsIntro | Batting 1 – Linear Weights | Batting 2 – wOBA and wRC+

Lets continue Getting Dirty With Stats! We’ve already covered an introduction, which is important as I lay out my goals for the series. We’ve also talked about hitters, so now we move on to pitchers.

As with hitters, we’ll start by figuring out what things pitchers are and aren’t responsible for. These include the home park a pitcher plays in, which can vary in size and conditions, as well as his league, which varies in talent level. Both are important variables we accounted for when looking at hitters and we’ll do the same for pitchers.

Another thing we’ll need to think about is the defense behind them. Pitchers spend long periods of time with the same or a similar defense. Since defenses vary in skill levels and shouldn’t affect the way we evaluate pitchers, we’ll need to consider that.

Another key difference between hitters and pitchers is the role of luck on what happens to balls put into play.

Here’s one of the greatest and most controversial discoveries of the recent statistical revolution: pitchers have much less control over balls in play than hitters.

Read More…

Getting Dirty with Stats

Intro | Batting 1 – Linear Weights

Who’s ready to get dirty with some more stats?! Whooo! Today we’ll be putting on our Ice Cream Gloves and finish our discussion on evaluating hitters.

When we last spoke, we settled arguments on message boards across the Internet using linear weights to figure out the run value of all the things batters can do. Remember that? Those were good times.

For the next 20,000 words, I’ll be painstakingly calculating the run value of every unintentional walk, hit-by-pitch, single, double, triple, and home run, for every player in Padres history LOL JK. That’s been done for us already by Tom Tango, a guy whose name you’ll hear a lot the more you read into baseball analytics.

Read More…