This is the third video in a series where we will attempt to predict the winning probabilities for Major League Baseball games using modern machine learning techniques. In this video, we discuss how baseball betting works with respect to the money line, and how lines relate to probabilities. We then show how to get historical odds data from oddsshark, and how to augment our game level dataframe to include the odds for each game.
Data: www.retrosheet.org, www.oddsshark.com
Notebooks: https://github.com/numeristical/resources/tree/master/BaseballPred/BP_3a_Get_oddsshark_data.ipynb
https://github.com/numeristical/resources/tree/master/BaseballPred/BP_3b_Augment_Games_w_Odds.ipynb
Personal links:
Consulting: www.numeristical.com
Github: https://github.com/numeristical