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Author

Lóránd Heidrich

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Conference Aug 2026

A Recency-Weighted Monte Carlo Engine for Possession-Level Basketball Forecasting

This paper presents a modular Monte Carlo (MC) engine for retrospective forecasting experiments on historical National Basketball Association games. Instead of fitting a single discriminative winner classifier, the system estimates player event rates from one-year individual box-score histories and simulates games as s...

Lóránd Heidrich, Ádám Kovács · 0 citations

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