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Supercomputer predicts how Euro 2020 will now play out – with unlikely winner

Ahead of the knockout stages of Euro 2020 kicking off this weekend, a Super Computer has predicted a shock winner of the tournament – despite third-placed group stage finish

The group stages of Euro 2020 are now complete and we now know the remaining 16 nations and their respective paths to the final.

England have been paired against Germany at the Round of 16 stage in what appears to be the so-called favourable half of the draw, with the winners to face either Sweden or Ukraine in the quarter finals.

The other teams in that half of the draw include Wales and Denmark, the winners of which will take on the side who progresses from Czech Republic’s clash against the Netherlands.

The other half of the route to the final groups together FIFA’s number one ranked team Belgium, defending European champions Portugal, current world champions France along with Spain, Croatia and Italy.



Patrik Schick scored both goals as Czech Republic won 2-0 at Hampden Park in Euro 2020
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Image:

PA)




Despite the seemingly lopsided nature of the draw, Sportradar’s Super Computer has predicted a shock winner in the tournament – a side who England have already defeated.

Sportradar’s innovative Simulated Reality solution has tipped the Czechs to secure a stunning victory since before the competition commenced but had predicted them to oust Denmark in the final.

Due to the nature of the draw, this eventuality is now no longer possible – although the two sides are primed to meet in the quarter finals should the Danes eliminate Wales and the Czechs secure a victory as underdogs against the Netherlands.









Czech Republic beat Scotland 2-0 in their opening game at Hampden Park, before drawing 1-1 against Croatia and being edged out 1-0 by England.

Jaroslav Silhavy’s side have four England-based players in his squad for the tournament including West Ham United duo Tomas Soucek and Vladimir Coufal, alongside Burnley forward Matej Vydra and defender Tomas Kalas of Bristol City.

Of course, the European Championships is known to throw up plenty of surprise winners and finalists – most recently when Greece lifted the trophy in 2004.



Tomas Soucek starred in the Premier League for West Ham last season
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Image:

Pool via REUTERS)




Both the Czech Republic – who reached the final in 1996, losing to Germany – and 1992 winners Denmark (who were only in that tournament version after Yugoslavia were disqualified), already know how it feels to come from nowhere to the main event.

So how does it all work and how are the outcomes predicted?

Artificial Intelligence (AI) and machine learning drives the Simulated Reality, drawing upon Sportradar’s historic database to create a huge number of different game situations, outcomes and game plays.

This Simulated Reality played out five correct scores and ten correct results across the group stages.



Can Gareth Southgate lead England to glory?
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Image:

UEFA via Getty Images)




Can England go all the way in Euro 2020? Comment below

The AI system nailed it by predicting that Belgium would beat Russia 3-0, France would secure a 1-0 win over Germany with Austria triumphing by the same score against Ukraine.

Furthermore, the AI also correctly predicted that Wales and Switzerland would play out a 1-1 draw while stating that Spain would draw by the same score line against Poland.

Werner Becher, Sportradar’s regional chief executive officer for Europe, the Middle East, Africa and Latin America, said: “Using advanced AI and machine learning capabilities, Simulated Reality taps into twenty years’ worth of historic football data to provide fans with an experience as close to real life as possible.

“This summer’s tournament is proving just how accurate our simulations can be with several results reflecting the real-life outcomes. Those fans who thought Czech Republic winning the tournament outright was a long shot may now want to reconsider based on our track record in the Group stages.







“Simulated Reality football matches reflect team form and normal match conditions, using more than a decade’s worth of historic and statistical data to produce an immeasurable number of data points.

“We have created a product that truly reflects the fan experience when watching and betting on a real game. It is completely new and unique to the industry.

“Simulated Reality gives us the opportunity to model how real games would take place as they would happen in real stadiums. It’s all so fan-friendly.”


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