Improving NHL draft outcome predictions using scouting reports

Luo Hubert ()
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Luo Hubert: Department of Computer Science, 12330 University of Texas at Austin and Data Analytics Group , Lazard, Toronto, Canada

Journal of Quantitative Analysis in Sports, 2024, vol. 20, issue 4, 331-349

Abstract: We leverage Large Language Models (LLMs) to extract information from scouting report texts and improve predictions of National Hockey League (NHL) draft outcomes. In parallel, we derive statistical features based on a player’s on-ice performance leading up to the draft. These two datasets are then combined using ensemble machine learning models. We find that both on-ice statistics and scouting reports have predictive value, however combining them leads to the strongest results.

Keywords: machine learning; LLM; hockey (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1515/jqas-2024-0047

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