Data science Resource feed
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Pinnacle Betting Strategy Nov 1, 2018
Using ‘R’ for betting analysis Gaining an edge in betting often boils down to intelligent data analysis, but faced with daunting amounts of data it can be hard to know where to start. If this sounds familiar, R – an increasingly popular statistical programming language widely used for data analysis – could be just what you’re looking for.
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Joseph Buchdahl Educational Jan 5, 2018
The problem with data mining in sports betting Using data as part of a betting strategy is common practice. However, as impressive as some results may appear, the process of producing such results is the important part. What are the problems with data mining in sports betting? Read on to find out.
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Pinnacle Educational Aug 18, 2017
How to make predictions with no data The Mayweather vs. McGregor UFC-Boxing crossover has sports fans and bettors gripped for the simple reason that it has no precedent. This provides fertile grounds for debate and speculation but is a huge headache for anyone trying to predict the outcome with any certainty, as predictions rely on the past informing our idea of the future. So what can bettors do in these unique circumstances? They can turn to an approach developed by a Nobel Prize winning nuclear physicist.
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Pinnacle Educational Jun 30, 2017
How R is driving sports betting innovation The idea that bookmakers function by simply balancing bets from recreational punters and taking a cut is a common misconception. The truth is far more interesting, with data science at the heart of modern sports betting innovation, epitomised by how Pinnacle is using R and advanced Machine Learning techniques to stay ahead of the pack.