https://github.com/gpavanb1/cricketworldcup19_ml
Machine learning on Cricket World Cup 2019 data
https://github.com/gpavanb1/cricketworldcup19_ml
Last synced: 12 days ago
JSON representation
Machine learning on Cricket World Cup 2019 data
- Host: GitHub
- URL: https://github.com/gpavanb1/cricketworldcup19_ml
- Owner: gpavanb1
- Created: 2019-06-08T06:23:50.000Z (about 7 years ago)
- Default Branch: master
- Last Pushed: 2022-12-08T05:14:19.000Z (over 3 years ago)
- Last Synced: 2025-03-03T08:14:08.278Z (over 1 year ago)
- Language: Python
- Size: 12.7 KB
- Stars: 1
- Watchers: 0
- Forks: 0
- Open Issues: 5
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# CricketWorldCup_ML
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](https://www.reddit.com/r/Cricket/comments/bzss0o/semis_prediction_table/?utm_source=share&utm_medium=web2x)
```
+--------+---------------+
| 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](http://github.com/gpavanb1)
for any questions. Credits to [ABK](), [Cricbuzz](http://cricbuzz.com)
and [Cricinfo](http://cricinfo.com) for the web-scraping.