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WorldCupArena: Fine-Grained Evaluation of Language Models and Deep-Research Agents on Football Forecasting

4 upvotes · 20 JUL 2026 · Zhaokai Wang, Tianlin Gui, Jiayuan Rao et al.

This paper evaluates language models and deep-research agents at predicting football match outcomes before kickoff, using a dynamic benchmark that can be reused for future leagues. Practitioners can learn from the results to improve their own models' performance in similar tasks.

football forecastingcontinual learningdynamic benchmarkslanguage modelsdeep-research agents