AI Match Predictions
Win probabilities & predicted scores for all 104 FIFA World Cup 2026 matches.
The statistical model's 4-1 prediction and 90% win probability for Mexico are driven by the substantial difference in FIFA rankings and the powerful home advantage.
The statistical model's prediction of a 2-2 draw reflects South Korea's higher win probability (56%) balanced against Czechia's significant chance of an upset or draw (44% combined).
The statistical model heavily favors Canada, predicting an 88% win probability, a 7% draw, and only a 5% chance for Bosnia and Herzegovina.
The statistical model's high win probability for the United States (87%) and predicted 3-1 scoreline reflect their superior standing and home advantage.
The statistical model's prediction of 1-3 reflects Switzerland's significantly higher FIFA ranking and win probability.
The statistical model predicts a 2-2 draw, indicating a closely contested match where both teams are expected to score, with Brazil having a slight edge in win probability.
The significant disparity in FIFA rankings and historical performance between the two nations underpins the strong statistical prediction in favor of Scotland.
The model's prediction of a 2-2 draw with Turkey as slight favorites suggests a closely matched encounter where both teams are likely to find the net.
The statistical model's prediction of a 4-0 Germany win with 90% probability is based on the substantial FIFA ranking disparity and historical performance trends.
The statistical model's 2-2 prediction and balanced win probabilities (Netherlands 50%, Draw 21%, Japan 29%) indicate a highly competitive match with no clear favorite.
The predicted 1-2 scoreline and win probabilities are directly derived from the provided statistical model, which heavily favors Ecuador.
The 2-2 predicted scoreline and win probabilities (Sweden 29%, Draw 21%, Tunisia 50%) are directly derived from the provided statistical model.
The statistical model's high win probability for Spain reflects their significant FIFA ranking advantage and historical performance in major tournaments.
The statistical model, with an 80% win probability for Belgium, strongly indicates their superiority in this group stage encounter.
Our statistical model strongly favors Uruguay with an 84% win probability, predicting a 1-3 scoreline due to their higher FIFA ranking and historical performance.
The statistical model heavily favors Iran with an 81% win probability, predicting a 2-1 victory based on their significantly higher FIFA ranking and historical performance.
The statistical model heavily favors France (64% win probability) over Senegal (19%), with a 2-1 scoreline being the most probable outcome.
The statistical model heavily favors Norway, assigning them a 71% win probability compared to Iraq's 15% and a 14% chance of a draw, leading to the 1-2 predicted score.
The significant difference in FIFA rankings and historical performance underpins the high probability of an Argentina win, with the model predicting a 3-1 scoreline.
The statistical model heavily favors Austria, reflecting their significantly higher FIFA ranking and the corresponding disparity in win probabilities.
Our statistical model, based on team rankings and historical performance, strongly favors Portugal with an 89% win probability.
The statistical model, with England's 47% win probability and Croatia's 31%, alongside a 22% chance of a draw, points to a closely contested match where a stalemate is a significant possibility.
The statistical model predicts a 2-2 draw, reflecting Ghana's slight advantage in win probability (53%) but acknowledging Panama's ability to secure a point.
The significant disparity in FIFA rankings and win probabilities strongly favors Colombia, indicating a comfortable win.
The statistical model's prediction of a 3-1 Czechia victory is driven by their significantly higher win probability of 89% compared to South Africa's 5%.
The statistical model heavily favors Switzerland with an 87% win probability, predicting a 3-1 scoreline due to their significantly higher FIFA ranking and historical performance.
The statistical model predicts a 3-1 Canada victory, reflecting their strong win probability of 88% against Qatar's 5%, with a 7% chance of a draw.
The statistical model predicts a 2-1 Mexico win, with a 69% probability for Mexico, 15% for a draw, and 16% for South Korea.
The statistical model predicts a 2-1 United States win, with a 75% probability of a US victory, reflecting their strong position as hosts and higher-ranked team.
The statistical model heavily favors Morocco, assigning them a 75% win probability compared to Scotland's 12%, indicating a clear disparity in team strength and expected performance.
The statistical model's prediction of a 4-1 Brazil victory is driven by their high win probability (90%) and Haiti's low chance of success (4%).
The statistical model heavily favors Turkey, predicting a 2-1 victory with a 68% win probability, reflecting their superior overall quality and recent form.
The statistical model heavily favors the Netherlands with a 75% win probability, reflecting their higher FIFA ranking and overall squad strength.
The statistical model heavily favors Germany with an 82% win probability, indicating a clear disparity in team strength and expected performance.
The statistical model's prediction of a 4-1 Ecuador win is driven by their overwhelming 90% win probability against Curaçao's 4%.
The statistical model indicates a draw is less likely than a Japan win, but a high-scoring draw is the most probable exact score.
The statistical model heavily favors Spain with an 87% win probability, reflecting their higher FIFA ranking and historical performance.
The statistical model heavily favors Belgium (68% win probability) over Iran (17%), predicting a 2-1 scoreline due to Belgium's higher FIFA ranking and historical performance.
The statistical model's high win probability for Uruguay (90%) and the significant goal difference in the predicted score reflect their substantial ranking advantage and historical performance against lower-ranked teams.
The statistical model heavily favors Egypt with a 70% win probability, predicting a 2-1 victory based on their higher FIFA ranking and overall team strength.
The statistical model's prediction of a 2-1 victory for Argentina is driven by their superior FIFA ranking and historical performance.
The statistical model's 3-1 prediction and overwhelming win probabilities for France reflect their significant quality advantage over Iraq.
The statistical model, factoring in FIFA rankings and team form, heavily favors Senegal for a win, with a 2-2 draw also a significant possibility.
The 2-2 prediction reflects both teams' recent form and head-to-head statistics, indicating a high likelihood of goals from both sides and a close final score.
The statistical model's prediction of a 3-1 victory for Portugal is driven by their significantly higher FIFA ranking and historical performance against lower-ranked teams.
The statistical model's high win probability for England (86%) and the 3-1 predicted score reflect their significant ranking advantage and historical performance against lower-ranked teams.
The statistical model's prediction of a 1-3 scoreline and overwhelming win probability for Croatia reflects the significant gap in FIFA rankings and historical performance between the two nations.
The statistical model heavily favors Colombia, predicting an 87% win probability and a 3-1 scoreline, reflecting the significant difference in FIFA rankings and perceived squad strength.
The statistical model predicts a 2-2 draw, with Canada holding a slight edge in win probability (39%) over Switzerland (36%), reflecting the close nature of the matchup and the impact of the home crowd.
The statistical model predicts a 2-2 draw, reflecting the close win probabilities (Bosnia and Herzegovina 43%, Draw 24%, Qatar 33%) and indicating a finely balanced contest.
The statistical model heavily favors Morocco (90% win probability) due to their higher ranking and perceived strength compared to Haiti.
The statistical model's prediction of a 1-3 Brazil win is underpinned by their significantly higher FIFA ranking and historical performance against similar opposition.
The statistical model heavily favors South Korea due to their significantly higher FIFA ranking and predicted win probability of 89%.
The statistical model heavily favors Mexico, predicting an 81% win probability, largely due to their home advantage and superior FIFA ranking.
The statistical model, factoring in team rankings and recent form, indicates a high probability of a German win, yet also a significant chance for Ecuador to secure a draw, resulting in the predicted 2-2 scoreline.
The statistical model heavily favors Ivory Coast with an 89% win probability, predicting a 1-4 victory due to their significantly higher FIFA ranking and historical performance.
The statistical model predicts a 2-1 victory for Japan, reflecting their higher FIFA ranking and superior win probability against Sweden.
The statistical model heavily favors the Netherlands due to their higher FIFA ranking and superior historical performance.
The statistical model predicts a 2-2 draw, reflecting Spain's higher win probability but acknowledging Uruguay's strong chance of securing a point.
The statistical model's high win probability for Saudi Arabia (89%) and the 1-3 predicted scoreline are based on a comprehensive analysis of team strengths, recent form, and historical data.
The statistical model heavily favors Australia (62% win probability) over Paraguay (21%), predicting a 1-2 scoreline based on their respective FIFA rankings and recent form.
The statistical model predicts a 1-2 victory for the United States, reflecting their higher win probability of 69% compared to Turkey's 16% and a 15% chance of a draw.
The statistical model's high win probability for Senegal (84%) reflects their significantly higher FIFA ranking and historical performance.
The statistical model heavily favors France (79% win probability) due to their significantly higher FIFA ranking and historical performance, predicting a 1-2 victory.
The statistical model's prediction of a 2-2 draw, coupled with Iran's higher win probability, indicates a closely contested match where Iran is favored to secure at least a point.
The significant disparity in FIFA rankings and the high win probability for Belgium indicate a clear favorite in this group stage encounter.
The statistical model's high win probability for Croatia (82%) against Ghana (7%), with a 3-1 predicted score, reflects Croatia's significantly higher FIFA ranking and historical performance.
The predicted 1-3 scoreline and high win probability for England are directly derived from the substantial FIFA ranking difference and historical performance data between the two nations.
The statistical model projects a 2-2 draw, reflecting Portugal's higher win probability but acknowledging Colombia's strong chance of a draw.
The statistical model predicts a 2-2 draw, with Uzbekistan having a higher win probability (48%) compared to DR Congo (30%) and the draw (22%).
The statistical model's strong lean towards an Austria win (69%) and a 1-2 scoreline reflects their higher ranking and perceived strength against Algeria (16% win probability).
The significant disparity in FIFA rankings and historical performance underpins the overwhelming statistical advantage for Argentina.