29.06.2026
Stefan Feuerriegel Featured in Tagesschau
Can AI Predict the FIFA World Cup?
Tagesschau recently featured MCML PI Stefan Feuerriegel and the LLM SoccerArena project, developed at LMU Munich in collaboration with researchers from the University of Cologne and Paderborn University. The platform uses the FIFA World Cup as a real-world benchmark to evaluate how well large language models can predict soccer matches and tournament outcomes.
The article explains how models such as GPT, Claude, Gemini, DeepSeek, Qwen, Grok, and Mistral compete on an online leaderboard, with predictions scored according to their accuracy. It also highlights how differences between model predictions can offer insights into AI reasoning and decision-making.
MCML Junior Member Jonas Schweisthal also comments on how the models weigh information such as team form, injuries, rankings, and public opinion. According to Stefan Feuerriegel, the project can help researchers better understand AI-based decision-making beyond sports, including in business contexts.
Related
05.10.2026
Honorable Mention at GCPR 2026
A GCPR 2026 paper co-authored by MCML Director Daniel Cremers received an Honorable Mention at the conference in Siegen.
05.10.2026
Honorable Mention at GCPR 2026
A GCPR 2026 paper co-authored by MCML Director Daniel Cremers and MCML PI Riccardo Marin received an Honorable Mention.
05.10.2026
How a Startup Is Making AI Faster and More Sustainable
Pruna AI, co-founded by MCML PI Stephan Günnemann, develops efficient AI models that use fewer resources while keeping high performance.