Goldman Sachs used AI to simulate 1 million possible World Cup outcomes — and arrived at a clear winner

“Goldman then simulated 1 million variations of the tournament to calculate the probability of advancement for each squad” writes Joe Ciolli for The firm used machine learning to run 200,000 models, mining data on team and individual player attributes, to help forecast specific match scores.The Argentine superstar Lionel Messi once said: “In football … talent and elegance mean nothing without rigor and precision.” It’s a sentiment Goldman Sachs seems to have taken to heart when compiling its forecast for the 2018 FIFA World Cup, which is set to kick off Thursday.

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