Predicting Laker’s Results

Predictive Modeling: Trained Logistic Regression (plus RF, NB, DT) on 2014-23 Lakers box-score data, delivering 0.85 ROC AUC and 76 % accuracy at distinguishing wins from losses.

Feature Insights: Model revealed that Points scored, Rebounds control, and Assists-driven ball movement are the three biggest swing factors for game outcomes.

Strategic Playbook: Translated insights into a data-backed checklist—boost rebounding drills, sharpen shooting efficiency, enhance ball movement, and minimize turnovers to raise win odds for coaches, analysts, and even engaged fans.