The rise of Over/Under betting, as detailed by CBS Sports, represents a shift in sports wagering from binary outcomes to statistical prediction. Unlike point spreads, totals require bettors to assess pace, efficiency, and situational factors—team travel, rest days, arena characteristics—rather than win probability alone. CBS Sports outlines strategies centered on identifying teams with consistent offensive and defensive profiles, where totals are less volatile. The analytical appeal lies in reducing variance: a team averaging 112 points per game against league-average defenses provides a narrower band of possible scores than a 50-point spread. Yet the market’s efficiency in pricing such trends creates a persistent tension: the most quantifiable factors are already baked into the line, leaving bettors to weigh intangibles—unexpected lineup changes, weather in outdoor sports, or refereeing tendencies—that resist modeling. Profitability, then, depends not on predicting totals but on spotting when the public overweights narrative.