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RefereeBench introduces the first large-scale benchmark with 925 curated sports videos and 6,475 QA pairs to evaluate whether video MLLMs can reliably act as multi-sport referees. Evaluation of state-of-the-art models shows current MLLMs fall short (≤60% accuracy), struggling with rule application and temporal grounding despite their generic video understanding capabilities.