The business of baseball analysis has moved beyond post-game recaps. SportsLine expert Adam Thompson’s Friday predictions for MLB games, including matchups such as the Angels against the Royals and the Pirates versus the Brewers, represent a growing industry where data-driven betting advice is packaged for a mass audience. Thompson, publishing through the CBS-owned platform, offers probabilistic forecasts that turn each at-bat into a potential wager.

This shift recasts the fan as an investor, parsing performance metrics not for narrative but for edge. The tension is unresolved: as analytics commoditize the sport, the line between informed fandom and gambling deepens, leaving traditional spectatorship in an uncertain position.