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Dorian Rogozenco demonstrates how ChessBase 26’s Monte-Carlo analysis can rapidly generate thousands of short engine games to obtain a statistically reliable evaluation of an opening line.
In the example, it becomes clear that a previously promising surprise weapon for Black performs objectively much worse, providing a second, more realistic perspective to decide whether the line is practically worth playing.
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