Differences in World Cup predictions from AI.

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Predictions by different AIs for the World Cup (World Cup 2026) differ depending on what data (statistics, bookmaker odds, or analytical articles) is used as the basis and what prompts (queries) are used.
AIs can use different sources for analysis, which leads to a spread in assessing players’ physical condition and teams’ tactics.
If you ask a neural network to “guess the exact score,” it outputs an averaged version. When requesting “calculate the probability,” the result is presented as a range (for example, 60/40).

What are the main differences between predictions from different AIs?

Role-playing AIs (if the AI is trained to act as an “Analyst,” “Historian,” or “Contrarian”) can produce completely different outcomes: from strictly pragmatic to predicting sensational upset victories by underdogs.

General-purpose text AIs (e.g., ChatGPT, Claude) rely on vast amounts of data on the internet, often predicting match outcomes in favor of historically strong teams (France, Argentina, Brazil).

Analytical AI agents (e.g., Felo Agent, specialized sports bots) handle probabilities better, calculating the percentage chance of victory for each participant based on each team’s current form, injuries, and the results of the first matches played.

Advanced simulation models with simulation capabilities (such as custom models based on Claude) can generate predictions based on hundreds of thousands of simulations of the tournament bracket. This provides an accurate calculation of probabilities for all 104 matches.