ODI Cricket Result Predictor

Is it possible to guess the winner of a cricket match even before the match starts? What are the factors which influence the result of one-day cricket matches? These and many similar questions have always boggled my mind while growing up in 1990's and 2000's India, for whom "Cricket was a religion and Tendulkar was God!".

Inspired by the ICC Cricket World Cup (2019) and passion for data science and machine learning, I started working on building a machine learning classification model to try to answer some of these questions, with state of the art precision. Work on a detailed write-up about the project, as the project itself, is in progress.

Here's my predictions for winners of each match of ICC Cricket World Cup 2019. The table is arranged as follows:

•      Date and Venue of match, and names of both Teams.
•      Prediction of result as calculated by my predictor, in terms of winning probability of each team, before the match begins.
•      Winning prediction probability calculated by Google, captured for the sake of validation.
•      Actual winner at the end of match
•      And last but not the least is Correctness of prediction, represented as: Match yet to be played, Successful prediction, Incorrect prediction, Match abandoned


•      Update on 7th July 2019: Prediction by my model calculated on 22nd June for top 4 team-standing and semi-final draws matched with 100% accuracy with the final standing at completion of round-robin format on 6th July! Here's the original post on Twitter.
•      Update on 14th July 2019: Not only predicted the result of final accurately, the model also predicted that it's gonna be a very close match!