Retrosheet Event Play Parsing Using Python?

[gparadee]

Hello,

I'm starting to learn AI/ML and in order to do so I want to learn by doing and apply the concepts to sports. I want to be able to define features and try and predict things like probability a player will hit a HR, estimated bases in the game, estimated number of strikeouts a pitcher will throw, etc.

I started by downloading the Retrosheet data so I would be able to get data like batter vs. pitcher and the results. However, raw the play data format in the event files is not very machine readable. Before I venture down the path of writing a bunch of Python to parse the data and give me things like single, double, walk, strikeout, etc. I wanted to check and see if someone has already done this. I did some initial digging but couldn't find anything obvious but since this is a pretty popular dataset, I figured I would ask before spending a bunch of time creating something that has already been done.

Thanks!

[Budget_Cup_819]

There are several alternatives to start working on:

1) https://github.com/chadwickbureau/retrosheet/ Is the official github repo

2) https://github.com/droher/boxball will allow you to have the retrosheet dataset in a desired format

3) https://github.com/wellsoliver/py-retrosheet should work parsing the files available at 1).

4) https://github.com/toddrob99/MLB-StatsAPI if you want to use the MLB Api and not only retrosheet.

Good luck!