This document joins MVP voting tables with advanced stat tables, harmonize data types, and model MVP voting outcomes using linear models and linear mixed models. The goal is to identify which advanced statistics best predict MVP voting outcomes, with a focus on the pts_won column as the response.

This report analyzes NBA player availability and on-court movement trends. We assemble long‑horizon datasets, visualize key patterns, and generate short‑term forecasts using classical time‑series models. The goal is to provide a clear, reproducible workflow you can extend for deeper team or player analyses.