Body-clock alignment with local game time is a measurable driver of professional sports outcomes, independent of team talent.
Peak performance window: human physical/cognitive performance peaks around 4:00–8:00 PM body-clock time. Teams playing evening games in their home time zone are closer to this peak than teams that have crossed time zones to get there.
NBA Schedule Alert Project (Dr. Cheri Mah, with ESPN): a predictive model using only schedule, travel, and time-zone factors (not team strength/roster quality) correctly flagged NBA teams' elevated risk of losing on a given night with 76–86% accuracy across 3 seasons.
Monday Night Football time-zone effect: West Coast NFL teams hosting evening games against East Coast opponents beat the Vegas point spread 68% of the time across 25 seasons — attributed to the West Coast team's body clock being closer to its 4–8 PM peak at kickoff, while the East Coast team's body clock is already past peak.
Both findings point to the same underlying mechanism: crossing time zones (especially arriving for a body-clock-late game) misaligns players with their circadian performance peak, and this misalignment is large enough to move betting lines and predict losses without reference to team quality. See Sleep Debt Accumulation and Banking for the acute-sleep-loss side of the same travel problem.
Dr. Cheri Mah's team partnered with ESPN on a "Schedule Alert" project that predicted an NBA team's risk of losing a given game using only schedule, travel, and time-zone-crossing data — deliberately excluding team strength, injuries, or roster quality. Tested across three NBA seasons, the model reached 76–86% predictive accuracy, treating travel/schedule fatigue itself as a quantifiable performance-risk factor independent of talent. This generalizes the underlying circadian time-zone mechanism into a standalone predictive tool; see Jet Lag Travel Protocol (Pre/In/Post-Flight) for the individual-athlete mitigation side of the same effect.
The circadian/travel-schedule model's predictive power is quantified directly: using only travel and scheduling factors — with no input on team talent — it predicted NBA game losses at 76–86% accuracy. A parallel finding: over 25 NFL seasons, a circadian-based prediction beat the Vegas point spread on Monday Night Football 68% of the time. Both results imply that circadian/travel disadvantage is large enough to be a materially exploitable signal independent of roster quality, reinforcing Jet Lag Travel Protocol (Pre/In/Post-Flight) as a competitive lever, not just a wellness one.