The World Cup has only been played for a few days, but some AI prediction models have already been crowned as oracles, while others have stumbled badly.
The 2026 FIFA World Cup has sparked significant interest not only on the pitch but also in AI-driven match prediction. Major models like Qwen, Copilot, and ChatGPT are being used to forecast outcomes, scores, upsets, red cards, and key player performances.
Qwen gained early attention by accurately predicting Mexico's 2-0 win over South Africa (including a red card risk) and South Korea's 2-1 victory over the Czech Republic in the opening matches. Copilot's pre-tournament predictions had notable successes, such as correctly calling the Mexico 2-0 scoreline, South Korea's 2-1 win, and Brazil's 1-1 draw with Morocco. However, it also had clear misses, failing to predict upsets like Australia's 2-0 win over Turkey or Switzerland's draw with Qatar.
ChatGPT provided detailed analytical reasoning, correctly predicting Mexico's 2-0 win, but its full-tournament predictions tended to favor favorites, missing several underdog results and draws. Tests pitting multiple models (ChatGPT, Gemini, Grok, Claude) against the same match, like Mexico vs. South Africa, showed varying predictions, with only some hitting the exact score.
In summary, while AI models like Qwen have shown promising early results in specific match details, and others have had isolated successes, they collectively struggle to consistently identify upsets and underdog performances. AI is becoming an additional reference tool for prediction markets but is far from a definitive source.
marsbit06/16 03:53
