Extrapolating historical football data into long-term predictive models for upcoming campaigns requires moving far beyond static trend copying to understand the structural laws that govern league evolution. The highly stratified 2014/2015 Spanish La Liga campaign serves as an ideal architectural baseline for serious data modelers because its clear-cut tactical tiers and high closing line efficiency provide clean variables for stress testing mathematical frameworks. However, a common pitfall among analytical researchers is treating a single historical season as a fixed rule rather than a fluid, moving benchmark. Scaling these numbers successfully into a brand-new season requires establishing dynamic decay coefficients, isolating…