AI-powered match predictions, analysis and forecasts for every match of the 2026 FIFA World Cup. Data-driven insights for all 48 teams across 104 matches.
Match Predicts is a sports prediction platform that uses machine learning to forecast outcomes for the 2026 FIFA World Cup. We provide win/draw/loss probabilities, exact score predictions, and detailed match-by-match analysis for every game in the tournament.
The 2026 World Cup is the first edition with 48 teams, hosted across the United States, Mexico, and Canada. The tournament features 12 groups of 4 teams each, followed by a 32-team knockout stage, totaling 104 matches from June 11 to July 19, 2026.
Our machine learning models analyze multiple data sources to generate predictions:
Each prediction includes a confidence score (0-100%) and detailed reasoning explaining the key factors behind the forecast.
All 48 teams competing in the tournament, organized by group:
Match Predicts is an AI-powered sports prediction platform that provides data-driven forecasts for all 104 matches of the 2026 FIFA World Cup. We use machine learning models to generate win/draw/loss probabilities, exact score predictions, and detailed match analysis.
Our predictions are generated using machine learning models that analyze FIFA rankings, historical head-to-head records, recent team form, squad strength, venue factors, and tournament dynamics. Each prediction includes a confidence score and detailed reasoning.
Match Predicts is available in 6 languages: English, Spanish, Portuguese, French, German, and Turkish.
The 2026 FIFA World Cup features 48 teams divided into 12 groups of 4 teams each. The tournament is hosted across the United States, Mexico, and Canada with 104 total matches.
Match Predicts offers both free and premium predictions. Free predictions include basic win/draw/loss probabilities. Premium predictions include exact score forecasts, detailed statistical analysis, confidence scores, and full reasoning breakdowns.
Our prediction accuracy is tracked transparently on our Track Record page. We measure outcome accuracy (correct result), score accuracy (exact score), and calibration (how well our confidence levels match actual outcomes).