GooglyPlusPlus: Computing T20 player's Win Probability Contribution

In this post, I compute each batsman's or bowler's Win Probability Contribution (WPC) in a T20 match. This metric captures by how much the player (batsman or bowler) changed/impacted the Win Probability of the T20 match. For this computation I use my machine learning models, I had created earlier, which predicts the ball-by-ball win probability as the T20 match progresses through the 2 innings of the match. In my previous posts I had created several Machine Learning models. In order to compute the player's Win Probability contribution in this post, I have used the following ML models The player's contribution is calculated as the difference in win probability when the batsman faces the 1st ball in his innings and the last ball either when is out or the innings comes to an end.