NBA Results Forecast: From League Dynamics Analysis to Predictive Model Implementation
This study presents a machine learning-based approach to predicting the outcosmes of NBA games, with the aim of enhancing decision-making in sports betting and performance analysis. Using a dataset spanning 20 NBA seasons (2003–2023), we incorporated key features such as team statistics, player perf...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Sciendo
2025-05-01
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| Series: | International Journal of Computer Science in Sport |
| Subjects: | |
| Online Access: | https://doi.org/10.2478/ijcss-2025-0006 |
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