Euro 2020 reaches its final stage. While on Tuesday Italy beat Spain on penalties, on Wednesday it will be England’s turn against Denmark. Despite how even all the teams are, a supercomputer, based on its artificial intelligence calculations, is encouraged to choose a winner.
And although fans consider that everyone has an equal chance of winning the title, according to a prediction model, there is a selection that has higher statistical probabilities over the rest.
The analysis was carried out by the portal The Analyst with a model that simulated the remainder of the tournament 40,000 times. The result of these simulations indicates that Italy has a 39.3% chance of winning.
Second is England, with 29.4% probabilities. The third position was (until yesterday) Spain, with 23%. While Denmark closes the list, with 8.4%.
Quoting the website the Analyst, the euro prediction model published by Stats Perform takes into account the possible outcome of each match. Win, draw or lose.
The calculation method is based on the betting odds taken from the big gambling houses and the ranking of the team in question. Betting odds and rankings are calculated based on historical data and the performance of the team in recent years.
English fans, in the preview of the semi against Denmark. Photo: AFP
The model considers the strength of the opponent, the difficulty level of the ‘road to the final’ using the odds of the match result. Not only that, but the supercomputer doing the calculations also takes into account the composition of the group during the initial phase.
Every prediction always has the possibility of being wrong. Even if the prediction was made by a supercomputer known to have high-speed data processing capabilities.
Beyond forecasts, predictive systems and Big Data are increasingly influencing modern football. From applications to evaluate sports performance to player finders to sign in the passing markets.
In today’s football, there are fewer and fewer aspects left to chance. The accumulation of data that is collected allow entrants and technical bodies to make decisions based on measurements and statistics.
According to a Reports and Data report titled ‘Global Artificial Intelligence In Sports Market’, the global Artificial Intelligence market in the sports world would exceed the $ 3.3 billion valuation by 2026.
Belgian star Kevin De Bruyne used AI to assess whether he was staying with his club. Photo Reuters-
AI helps clubs make better decisions in both sports and business. The algorithms even predict whether a newly made signing will appreciate over time or not.
In addition, in players with a tendency to suffer injuries, for example, it would allow, to have a knowledge beyond human intuition that allows to alert about an anomaly in the variables surrounding said footballer.
But this tool not only helps clubles. Kevin De Bruyne announced his renewal with Manchester City for another 4 years. To make this decision, the Belgian star hired data analysts who were in charge of assessing his role in the team and his options to win titles at the English club.