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.
The Phillies open as -186 home favorites against the Mets, and Supreme Brain's model identifies a meaningful pricing inefficiency. The market implies a 50.0% win probability at the current line, but the model assigns Philadelphia a 70.0% chance—a 20-point gap that translates to +5.0% expected value before vig and +1.8% after. The Phillies carry dominant form in NL East rivalry matchups, and while New York brings ten players on the injury report compared to Philadelphia's six, the line hasn't adjusted to reflect the full talent disparity. Quarter-Kelly staking at this edge sizes to 0.14 units. This is heavy home chalk with a clear edge, not a coin flip being priced like one. The model favors Philadelphia, and the number hasn't caught up.
Supreme Brain assigns the Phillies a 70.0% win probability against the Mets at -186 odds—twenty percentage points above the market-implied 50.0%. That gap translates to +5.0% expected value, the kind of pricing inefficiency that doesn't survive long in efficient markets.
Philadelphia represents a high-conviction play because the model sees a dominant NL East club being undervalued as heavy home chalk, with a 70% win probability and +5.0% edge over the current market price.
The thesis breaks if the Mets' depleted roster outperforms its talent level—variance in a single game can overwhelm a 70% probability, and ten injured players doesn't guarantee ten meaningful absences. If New York's healthy contributors cluster in high-leverage spots or Philadelphia's six injuries include key bullpen arms, the edge narrows quickly. A 30% underdog wins three times out of ten; this could be one of them.
The model sees a 70% favorite priced like a coin flip. When the market lags twenty points behind your probability, you don't need perfection—you need volume.