Supercomputer predicts final Premier League table - where Aston Villa, Wolves, Leicester & Leeds United sit

As the Premier League halts for the World Cup, a supercomputer has predicted how the final league standings will look come the end of the season - including who wins the title, who gets top four, and who is relegated.

As the Premier League comes to a close for six weeks to make way for the FIFA World Cup, countless fans up and down the country will be debating where their club may finish the season upon its return. West Midlands clubs Aston Villa and Wolverhampton Wanderers are underperforming but have the promise of a better end to the campaign.

With each side sacking an old manager and bringing in a fresh face - Unai Emery in the case of Villa and Julen Lopetegui at Wolves - there is likely to be a resurgence. The Villans have already seen the start of one, with two successive league wins in Emery’s first week or so in charge. Wolves meanwhile will be eager to escape the relegation zone as quickly as possible come the end of December.

There are plenty of other battles to keep an eye on across the English top flight, including the title race between Arsenal and Manchester City and the top four battle with the likes of Newcastle United, Chelsea, Tottenham Hotspur, Liverpool and Manchester United. There is also a tight relegation brawl, as Wolves, Southampton, Nottingham Forest, Everton, West Ham United and Leeds United are all at risk.

To give a better idea of how these fights may play out after all 38 matches, a supercomputer from Betting Expert has run its algorithm to predict the final Premier League table. The artificial intelligence, which takes into account all results, xG, and xGA from the campaign so far, simulated the remainder of the season 100,000 times to reach its conclusion. Here are the predicted standings, as well as the final points totals.

Comment Guidelines

National World encourages reader discussion on our stories. User feedback, insights and back-and-forth exchanges add a rich layer of context to reporting. Please review our Community Guidelines before commenting.