In sports analytics, player regression refers to a statistical decline in performance toward an athlete's historical average. It is used to predict future output by filtering out unsustainable peaks or slumps. Teams, fantasy managers, and bettors benefit most, using regression to make informed roster decisions, adjust valuations, and avoid overpaying for outlier seasons.
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