Unintentional data leaks from elite athletes like Tadej Pogačar offer rare, fascinating insights into the physiological demands of world-class cycling. His power zones defy conventional expectations, revealing an extraordinary metabolic efficiency crucial for his signature long-range attacks. This accidental transparency, alongside the emergence of AI coaching and specialized gravel racing teams, hints at a future where data-driven insights and diversified athleticism reshape the sport's competitive and training landscapes.