Front-Office Analytics

In 2001, the Oakland Athletics traded star second baseman Miguel Tejada to the Baltimore Orioles in what looked like a catastrophic loss of talent. But the A's front office had run the numbers and concluded they could replace his production cheaper while staying under their payroll ceiling. This episode reconstructs the exact win-probability calculation that justified moving a future Hall of Famer, examining how the A's valued positional scarcity, aging curves, and the cost of maintaining a competitive window. We'll trace the contract structures Oakland used to backfill the position, the market inefficiency they exploited, and the one assumption in their model that turned out to be dangerously wrong. The hosts debate whether the math was sound at the time or whether the A's simply got lucky that their replacement strategy worked — and what happened when the window actually closed.