Erling Haaland wins the Premier League Golden Boot for Mohamed Salah this season.
According to a Premier League -Supercomputer, that has unveiled the stars who will most likely end the season as the top scorer of the competition, just a few days behind the start of the new campaign.
Last year Salah called the home base of the prize and ended the season with 29 goals, six for Alexander Isak with 23 and seven for Haaland with 22.
But everyone will start again next week on Zero when the new season starts, so Salah will be involved in the first match of the campaign when his Liverpool -side on Friday evening records on Anfield on Anfield.
It is then that he will be looking to start quickly, but according to the computer there is an attempt to keep his trophy.
In Casinohawks numbers, Haaland has a 64.9 percent chance to win the Golden Boot that he has already claimed in two of his three season as a Manchester City player.
That is a huge 53.9 percent higher than Salah with 11 percent and almost six times as likely as the Liverpool man.
That could be partly until the Africa Cup of Nations, which takes place this season. Salah will almost certainly travel to the tournament with Egypt, where the tournament runs from December 21, 2025 to January 18, 2026.
If Egypt goes far, Salah could miss at least six league matches for Liverpool – only a shortage of 16 percent of the season.
Arsenal New Boy Viktor Gyokeres now gets the third favorite, a chance of 4.9 percent, for Chris Wood (4.4 percent), Cole Palmer (1.9 percent) and Ollie Watkins (1.0 percent).
Each player was also arranged on his expected goal projection, where Haaland 24.2, Salah 18.2, Gyokeres 16.3 and Wood 16.1 gave.
To calculate the opportunities, a simulation -based approach was used as soon as all players were modeled in the expected goals projections. The projected XG of each player was modeled using data from previous seasons.
From that moment on, 100,000 simulations – where the total goals of each player were generated with the help of a Poisson distribution based on their XG – were used.