The 2026 World Cup continues its knockout stage with two highly anticipated matches on June 30th. France faces Sweden, while the Netherlands takes on Morocco for a place in the next round. Meanwhile, the Latvian league features a match between Rigas FS and BFC Daugavpils. As always, the FootProbability model has analyzed the matches to identify the best opportunities based on calculated probabilities and available statistics.
The main selection of the day concerns the match between France and Sweden. Les Bleus have had an excellent run so far and enter this match as favorites, a status confirmed by the model. This model assigns a high confidence score and considers a high-scoring match the most likely scenario. The attacking quality of the French team, combined with their efficiency since the start of the tournament, suggests an exciting match with plenty of scoring opportunities.
The other major match of the day pits the Netherlands against Morocco. This encounter promises to be more balanced, with both teams capable of playing attacking football while remaining solid defensively. The FootProbability model nevertheless detects excellent value in the goalscoring market. Despite a match that might seem cagey on paper, the calculated probabilities show that an open game remains a credible scenario, making it one of the most intriguing selections of the day.
In Latvia, the Virsliga season concludes with the match between Rīgas FS and BFC Daugavpils. The league leaders host a team capable of being dangerous offensively. The statistics generated by the model indicate a favorable probability of seeing multiple goals. Even though the predicted value is more moderate than for the two World Cup matches, this game remains one of the best analyses of the day.
After several more challenging matchdays, this selection for June 30th appears more coherent. The model only included four matches meeting its criteria, demonstrating its selective approach rather than simply generating numerous predictions. This approach prioritizes matches offering the best balance between probability, confidence, and estimated value.
FootProbability continues to rely on its statistical model based on the Dixon-Coles method to estimate the probabilities of victory, goals, and value in each match. The objective remains unchanged: to offer transparent, data-driven analyses without attempting to predict results with certainty, recognizing that such results are always subject to the unpredictable nature of football.
Find all the analyses, detailed probabilities, the best matches selected by the model, probable goalscorers, and complete performance tracking every day on FootProbability. Each prediction is published free of charge, allowing football enthusiasts to follow matches with a statistical and objective approach.