13 June 2018

South African Data Scientists Announce Football World Cup Predictions for Group Stage

Submitted by: Estee
South African Data Scientists Announce Football World Cup Predictions for Group Stage

Using predictive analytics and machine learning, South African based data analytics company, Principa, are predicting the results of this year’s FIFA Football World Cup. By applying the same principles used to predict customer behaviour for Principa’s financial services and retail clients, the company’s data scientists are using different algorithms to develop models that can predict the exact score outcome of every match.

As the objective of machine learning is to develop models that can retrain themselves to adapt when exposed to new data, the algorithms will be re-trained with the results of each match to improve the accuracy of the following round’s generated prediction.

Before the start of the World Cup in Russia on Thursday, the company has announced the data-driven predictions, which can be viewed on their website: https://wonders.principa.co.za/principa-predicts-football-world-cup-2018

Principa will continue to post predictions on their website as well as via their Twitter (@PrincipaD) and Facebook accounts. A record of all predictions and the actual results will also be made available on the company's website.

Principa have also created an overview of some of the more interesting insights discovered during the data preparations: https://wonders.principa.co.za/football-world-cup-2018-statistics

About Principa: Principa Decisions (Pty) Ltd. work wonders with data science to serve over 150 companies in 30 countries in Africa, Middle East and Europe.Principa’s data science solutions help customers answer questions about the past and present to anticipate future outcomes. Our data scientists, developers and consultants work together to develop data analytics products and solutions that derive answers, predictions and recommended actions from large and complex data. The data insights derived provide the information and knowledge from which to develop more effective strategies, increase efficiency and profitability and decrease cost and risk.

Media enquiries: Estee Schroeder, 021 680 6341, This email address is being protected from spambots. You need JavaScript enabled to view it.