Statistical Probabilities for Every Team Competing in the FIFA World Cup 2022
Team / Probability in % | 1/8-Final | 1/4-Final | 1/2-Final | Final | Winner |
France | 100 | 100 | 100 | 100 | 62 |
Croatia | 100 | 100 | 100 | 100 | 38 |
Germany | 0 | 0 | 0 | 0 | 0 |
Argentina | 100 | 100 | 100 | 0 | 0 |
Canada | 0 | 0 | 0 | 0 | 0 |
Uruguay | 0 | 0 | 0 | 0 | 0 |
Tunisia | 0 | 0 | 0 | 0 | 0 |
Korea Republic | 100 | 0 | 0 | 0 | 0 |
Senegal | 100 | 0 | 0 | 0 | 0 |
Saudi Arabia | 0 | 0 | 0 | 0 | 0 |
Mexico | 0 | 0 | 0 | 0 | 0 |
Morocco | 100 | 100 | 100 | 0 | 0 |
IR Iran | 0 | 0 | 0 | 0 | 0 |
Costa Rica | 0 | 0 | 0 | 0 | 0 |
Brazil | 100 | 100 | 0 | 0 | 0 |
Australia | 100 | 0 | 0 | 0 | 0 |
Ecuador | 0 | 0 | 0 | 0 | 0 |
Ghana | 0 | 0 | 0 | 0 | 0 |
Belgium | 0 | 0 | 0 | 0 | 0 |
Cameroon | 0 | 0 | 0 | 0 | 0 |
United States | 100 | 0 | 0 | 0 | 0 |
Serbia | 0 | 0 | 0 | 0 | 0 |
Japan | 100 | 0 | 0 | 0 | 0 |
Denmark | 0 | 0 | 0 | 0 | 0 |
Netherlands | 100 | 100 | 0 | 0 | 0 |
Wales | 0 | 0 | 0 | 0 | 0 |
Spain | 100 | 0 | 0 | 0 | 0 |
Switzerland | 100 | 0 | 0 | 0 | 0 |
Portugal | 100 | 100 | 0 | 0 | 0 |
Poland | 100 | 0 | 0 | 0 | 0 |
England | 100 | 100 | 0 | 0 | 0 |
Qatar | 0 | 0 | 0 | 0 | 0 |
KickForm is a mathematical algorithm for predicting football matches. The goal is to calculate the world's most accurate prediction of football matches based on relevant metrics. Prof. Heuer from the University of Münster has outlined certain parameters that have a strong correlation with the prediction of football matches and the final results. The deciding factor here is the performance of a team composed of different variables, e.g. scoring, possession, market value, match day or Home advantage. For our 2018 World Cup simulation, we used the World Football Elo Ratings as a basis for each team's performance.
KickForm is a mathematical algorithm used to predict football matches. It is our goal to provide the world's most accurate prediction of football matches based on scientific evidence and statistical metrics.