Our model's win probability vs. the market's implied probability. The gap is the edge.
Every factor that moved the model. Every number sourced — no hallucinations.
Supreme Brain assigns the Under 9.0 a 55.2% win probability against a 50.0% market-implied probability at -111, yielding +5.0% expected value (+7.8% after vig). The model rates this as tier-1 conviction—its highest band for MLB. Kansas City's offense has managed just 7 runs per game over their last 7 games, and the lineup enters with 7 players on the injury report compared to St. Louis's 3. The Royals are outscoring opponents by -0.3 runs per game in that same window, a margin that suggests offensive futility rather than equilibrium. With roughly 20 points of offensive firepower missing from KC's lineup and St. Louis playing at home where splits favor the host, the path to 9 runs requires one team to catch fire—a low-probability outcome when the road squad is already anemic.
Kansas City has scored 7 runs per game over their last 7 contests (per Supreme Brain), and the Royals bring 7 players on the injury report into St. Louis tonight. When the road team is already running on fumes, the under becomes a high-conviction play.
Supreme Brain assigns the Under 9.0 a 55.2% win probability versus a 50.0% market-implied probability at -111, yielding +5.0% expected value—and the model rates this as tier-1 conviction, its highest band for MLB.
Variance is the enemy here. Kansas City's -0.3 run differential over their last 7 games (Supreme Brain) means they've been close enough that a single hot inning could flip the script. If either lineup catches fire early—say, a 5-run second inning—the total becomes a coin flip. The thesis breaks if the injuries prove less impactful than the model assumes, or if St. Louis's home pitching falters and turns this into a slugfest.
Seven runs per game over seven games. Seven players on the injury report. The arithmetic is unkind, and the under is favored.