The first week of the NFL season creates more opinions than answers.
Tej Seth, data scientist, breaks down how analysts can distinguish meaningful early-season signals from misleading results. He explains why offensive scheme changes can matter more than raw Week 1 statistics, why turnovers and late-down performance should be treated carefully, and how models should update after surprising games.
The conversation examines the Baltimore Ravens’ evolving offense, the Kansas City Chiefs’ new running game, San Francisco’s edge over the Rams, and the matchups worth watching as the NFL season takes shape.
