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Modelling Counter-Strike with Bayesian updating

In this piece, Darina Goldin, Director of Data Science at Bayes Esports, details how Bayes analyses CS:GO odds automatically using the Bayesian Updating method.

Esports analytics has gained traction in the past decade, and Bayes Esports is one of the front runners for accurate and robust models. Our data scientists use a variety of techniques to do the games justice. One of them is Bayesian Updating, and while this term might sound scary at first, it’s a very easy-to-understand approach.

How it works

Let’s say we have two teams, Bears and Gorillas, playing Counter-Strike.