Utilizing data analysis to identify the best players from the 2019 draft
DOI:
https://doi.org/10.61173/98ye8v63Keywords:
Player Evaluation, Versatility, Key Performance Indicators (KPIs), Performance Metrics, Data-Driven Evaluation, Re-Draft SimulationAbstract
This study seeks further standardization of the evaluation process of these players while recognizing that it is indeed inherently quite complex and subjective. Acknowledging the different skill sets in professional basketball, this research stresses the need for specialized approaches in evaluating players fully. Diversity and balance are what make a player fit as it assumes those who perform well in multiple positions, meaning they have both offensive and defensive skills are likely to be fitter. This research adopted a quantitative approach to analyze KPIs (games played, minutes per game, adjusted shooting percentage, rebounds, total points) in assessing player performance and return on investment. There was a very high correlation between minutes played and points scored from this analysis at a very high level of significance showing that one person can play many roles being versatile is key. The 2019 mock draft ranks players based on a combined scoring system, finding the highest value of players like Zion Williamson and Ja Morant. Research can improve draft strategies and objectives, and data-driven evaluation methods can boost player development and team success. It can help teams to find suitable players based on team playing styles.
References
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