Research Article
Football Match Winner Prediction
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 154 - Issue 3 |
| Published: Nov 2016 |
| Authors: Saurabh Vaidya, Harshal Sanghavi, Kushal Gevaria |
10.5120/ijca2016912066
|
Saurabh Vaidya, Harshal Sanghavi, Kushal Gevaria . Football Match Winner Prediction. International Journal of Computer Applications. 154, 3 (Nov 2016), 31-33. DOI=10.5120/ijca2016912066
@article{ 10.5120/ijca2016912066,
author = { Saurabh Vaidya,Harshal Sanghavi,Kushal Gevaria },
title = { Football Match Winner Prediction },
journal = { International Journal of Computer Applications },
year = { 2016 },
volume = { 154 },
number = { 3 },
pages = { 31-33 },
doi = { 10.5120/ijca2016912066 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2016
%A Saurabh Vaidya
%A Harshal Sanghavi
%A Kushal Gevaria
%T Football Match Winner Prediction%T
%J International Journal of Computer Applications
%V 154
%N 3
%P 31-33
%R 10.5120/ijca2016912066
%I Foundation of Computer Science (FCS), NY, USA
Abstract
Prediction of football match outcome should follow approaches that are more generalized. Hence for our project we predict outcomes of English Premier League based on the historical data of the matches and using machine learning algorithms. We gathered data from past 10 seasons and extracted features like form, goals scored and conceded, shots ratio. The computation of form feature is different from has been prevalent till now. More focus is given to gain more insight and associate a deeper and better meaning to form of a team. Basic features like shots ratio and goals scored are combined to create feature of attacking quotient. We using Logistic Regression and implement voting algorithm between Random Forest and Naive Bayes classifier to achieve accuracy between 47-50% with mean absolute error of 0.37.
References
- Douwe Buursma; Predicting sports events from past results, University of Twente, 2011.
- Nivard, W. & Mei, R. D.Soccer analytics: Predicting the of soccer matches. (Master thesis: UV University of Amsterdam), 2012.
- Ben Ulmer and Matthew Fernandez; Predicting Soccer Match results in the English Premier League, cs229, 2014.
- Data mining [Online]. Available: https://en.wikipedia.org/wiki/Data_mining
- Machine Learning [Online]. Available: https://en.wikipedia.org/wiki/Machine_learning
Index Terms
Keywords