gpavanb1 / CricketWorldCup19_ML

Machine learning on Cricket World Cup 2019 data

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CricketWorldCup_ML

Made with Love in India

This repository contains codes where different predictive techniques have been applied to the Cricket World Cup 2019 data

Modules

  • Predicting pool stage outcome using Monte Carlo method - the prior is based on the performance of teams in the last 10 matches against each other

How to install and execute

Install the requirements using pip install -r requirements.txt

Once completed successfully, just run main.py

Sample Output

This section outlines the sample outputs from various modules in the repository

Pool Stage Monte-Carlo

Follow the discussion on Reddit

+--------+---------------+
| Team   |   Probability |
|--------+---------------|
| IND    |     0.9725    |
| ENG    |     0.9296    |
| NZ     |     0.850033  |
| AUS    |     0.583133  |
| PAK    |     0.2924    |
| WI     |     0.1317    |
| RSA    |     0.0997333 |
| SL     |     0.0813    |
| BAN    |     0.0596    |
+--------+---------------+

Whom to contact?

Please direct your queries to either gpavanb1 for any questions. Credits to ABK, Cricbuzz and Cricinfo for the web-scraping.

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Machine learning on Cricket World Cup 2019 data


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