The Group stage encounter between Norvège and Angleterre at the 2026 Coupe du Monde ended in a 1-2 victory for the away side. Despite the relatively balanced community prediction split—43% for a home win, 14% for a draw, and 43% for an away win—only 14% of the 7 total predictions correctly identified the winner. This means just one person in the sample anticipated Angleterre’s victory, while the rest either backed Norvège or expected a share of the spoils. The perfect score of 1-2 was not forecast by any participant, with 0% achieving an exact scoreline.

From a analytical perspective, the narrow margin of the result combined with the even pre-match sentiment suggests the match was tightly contested but ultimately swung in favour of the visitors. The small number of predictions limits the statistical reliability of the community data; nevertheless, the fact that only one out of seven entries landed on the winning side indicates that the actual outcome diverged from the prevailing expectation. The absence of any exact-score forecasts further underscores the difficulty in predicting the precise final tally. For future matches in the tournament, analysts might note that Angleterre’s away win was a plausible yet underappreciated result within this limited prediction pool. The data, while limited, highlights how even a balanced split can mask a low accuracy rate when the sample size is minimal.