Moneyball in Competitive team performance in basketball

The In the realm of professional sports, the "Moneyball" theory reveals market inefficiencies where player value is systematically undervalued. This theory provides novel insights for sports clubs to utilize data analytics in reducing the cost of winning and enhancing team performance. Addressing the challenge of player efficiency evaluation in the NBA, this study constructs a value scoring model inspired by the Moneyball concept. Specifically, player performance sta-tistics are analyzed using principal component analysis to extract com-prehen-sive efficiency indicators, while residual regression quantifies the devia-tion be-tween players' actual performance and their intrinsic efficiency levels. Results demonstrate that the proposed model effectively evaluates players' competitive capabilities, identifying both undervalued and overvalued individu-als. Under-valued players exhibit significantly higher on-court contributions relative to salary expectations, characterized by well-rounded technical profi-ciency and holistic efficiency. Conversely, overvalued players underperform their salary benchmarks, often relying excessively on isolated statistical metrics while demonstrating subpar overall efficiency.