How to create a score predictor

This month’s Manchester derby was a thrilling contest between Jose Mourinho’s United and Pep Guardiola’s City. From City’s first-half dominance to United’s stubborn second-half response, the final outcome seemed impossible to predict.

Except, the data experts at Hewlett Packard Enterprise had done just that.

Using complex algorithms and equations to study patterns and trends across a range of statistics and previous results involving the teams and managers, they were able to correctly predict a 2-1 victory for the visitors at Old Trafford.

As well as the two Manchester clubs, they have also made an in-depth analysis of Antonio Conte and his Chelsea team and have come up with predicted scorelines for when the three managers meet this season – which you can see on their Making of a Manager page.

But how do you go about creating such a score predictor? We spoke to a couple of HPE experts to find out…

How does the predictor work?

Asaf Lahav, research and development manager – “The mechanism we have used is part of the Haven On Demand offering from HPE. That’s a platform which provides a wide range of capabilities based on machine learning. With the right data set and the right …

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