Predicting EPL Result using Machine learning

use past season data to train, predict the match in new season
Updated 14 Dec 2018

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Overview :

First of all, I would like to emphasize that I wrote this script for fun, and I don't encourage gambling.

In this script, it uses Machine Learning in MATLAB to predict the result of English Premier League (EPL) match. It uses historical data in past season (EPL 2017/2018) for machine learning to train the model for prediction. In this script, I simply select some features as my predictors. They are average points per match, Number of Shoot, Number of Shoot on Target, and the betting odds in the market. The prediction will tell us the result of match (Home-win(H),Draw(D),Away-win(A)) in this season.

Eventhought the accuracy of model is not so promising,however, it is really very interesting to explore how to do the prediction of the EPL result by using machine learning.

[Note : Not advocating gambling,or any strategy]

Highlights :

Handling EPL data in excel (Eliminate unwanted data, Rearrange the structure of wanted data)
Machine Learning Modeling
Predicting the buying-decision
It definitely will enlighten EPL fan in MATLAB

Product Focus :

Statistics and Machine Learning Toolbox

Written at 5 December 2018

Cite As

Kevin Chng (2024). Predicting EPL Result using Machine learning (, MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2018b
Compatible with any release
Platform Compatibility
Windows macOS Linux
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Predict EPL_ML

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