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This paper introduces Explanation Quality Markers (EQMs), a set of 60 reasoning patterns scored by LLMs to measure the quality of natural-language explanations in forecasting tournaments. Analyzing over 55,000 forecast-rationale pairs, EQMs predict accuracy at both forecast and forecaster levels, outperforming previous methods.