A carregar...
Publicação
Predictive modelling of hot hand shooting in the National Basketball association
| Nome: | Descrição: | Tamanho: | Formato: | |
|---|---|---|---|---|
| 6.73 MB | Adobe PDF |
Orientador(es)
Resumo(s)
This research assesses the complexity of the rare phenomenon of the hot hand in the NBA,
analysing an extensive dataset and employing analytical analysis. Perceptions versus statistical
validity are examined, starting by defining heat and assessing its impact on gameplay.
Leveraging NBA shot records, the study aims to identify patterns and ultimately build a
predictive model tailored to dataset characteristics. Through meticulous analysis and model
development, this research contributes to understanding hot hand occurrences and their
potential implications for data-driven game strategies and performance optimization. Aligning
with previous studies on rare events, predicting hot shot occurrences underscores the inherent
challenge in forecasting such phenomenon.
Descrição
Palavras-chave
Prediction Algorithm Sports analytics Machine learning Basketball Nba Hot hand