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Fantasy football managers dared to compete with entrepreneurs’ advanced AI

Fantasy football managers dared to compete with entrepreneurs’ advanced AI

A team of artificial intelligence (AI) experts from the University of Southampton is challenging fantasy football managers across the world to take on their fiercely competitive machine learning algorithm in the new Premier League season.

Associate Professor Dr Sarvapali (Gopal) Ramchurn claims that his system, which is being promoted in Future Worlds through his Squadguru startup profile, consistently outperforms millions of players in the popular the Fantasy Premier League game by tapping into the latest AI techniques

Last year, more than four million players around the world competed in the English Fantasy Premier League, tinkering with their squads to generate maximum points from their teams. In the game, shrewd dealings in the transfer market can make or break teams’ seasons and entrants scramble week on week to strengthen their sides as Premier League stars go on and off the boil.

Squadguru has been tested on player data from previous seasons and produced teams which would have consistently ranked in the top one per cent of the Fantasy Premier League. Last season, a Squadguru generated team placed in the global top 60,000 of the game for most of the 38 gameweeks out of the millions of players.

“From Elon Musk to Stephen Hawking, everyone’s talking about AI taking over the world – is that now also true for Fantasy Football?” Gopal asks. “Come and take on the best AI engine for fantasy football, and see if you can beat the Squadguru!”

Fantasy managers can compete with Squadguru’s AI-fuelled 11 in a ‘Challenge the Squadguru’ league which is available in the free fantasy.premierleague.com game by entering league code 2917382-677658.

The Squadguru system was built using two steps. The first harnessed Bayesian Machine Learning techniques and five years of past football data to create and train a predictive model which forecasts the outcome of future matches and, more crucially, the performance of individual players. They next created a combinatorial optimisation algorithm which worked out the best transfers to make given the allowed budget and other constraints on teams that can be formed.

Gopal, a member of the University of Southampton’s Agents, Interaction and Complexity research group, co-developed the algorithm with Dr Tim Matthews as part of his MSc project. This resulted in a publication at the world’s top AI conference back in 2012. Over the last five years, they have made significant improvements to the Squadguru and offered it as a free service for visitors to fantasyfootballfirst.co.uk. The system’s algorithms have been used to provide transfer advice to over 30,000 subscribers and helped optimise human teams’ performance.

“We’ve now got a robust implementation of the platform,” Gopal says. “The next step involves developing a mobile app to serve insights to users in real-time and allow them to do transfers automatically or on the go. We are always open to investors and we’ve had a few approaches this year.”

Find out more about the Squadguru startup in its Future Worlds Discover profile.

Jon Nurse

Content Manager
Future Worlds

Jon compiles the latest innovations, articles and interviews for futureworlds.com as the platform’s Content Manager. He is also helping researchers in Physical Sciences and Engineering impact society with their work as a Communications and Impact Officer at the University of Southampton. He previously worked as a Senior Reporter for the Trinity Mirror newsgroup.

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