Ahead in the count

Moving the mound back is a proposed solution to the ever increasing rate of strikeouts in the modern game of baseball.

 Have expected stats gone too far?

Can we find statistical evidence for pitchers having variable stuff and command between outings? Or are the differences we see merely the effect of small sample sizes and lucky results on batted balls?

Here I examine the pitchers that PitchingBot likes the most from the 2020 season. Seeing who has the best stuff, command, and who throws the best pitch of each type.

PitchingBot is a model I have made to evaluate pitch quality from the characteristics of the pitch alone. This post goes through the details of making and testing PitchingBot before giving some topic ideas for future posts which will use the model. 

 Hi everyone, This blog is a place for my thoughts and writings on sabermetrics and baseball analysis. I'll mainly be exploring predictions from my machine learning based pitch evaluation model, PitchingBot , but there will be a sprinkling of analysis on other baseball topics which happen to pique my interest. I intend to occasionally make apps to go along with these blog posts, allowing people to explore the data for themselves. Hopefully this sounds interesting to those reading. If you have any feedback or questions that you think could be answered using PitchingBot then put them in the comments or find me on twitter here . Thanks! Cameron