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 Boston a 63.0% win probability against the Angels at -163 odds, translating to a +1.7% edge over the market-implied 50.0% probability. The model identifies this as the highest clean win probability on today's slate, driven by a pitching mismatch that favors the Red Sox. Boston's established ace carries a sub-3.00 ERA into the matchup, while Los Angeles counters with a rookie posting a 5.00-plus ERA. The Red Sox also benefit from a fresh bullpen, a critical advantage in a game where the starter needs to deliver six-plus innings to neutralize the Angels' ability to grind close contests. Los Angeles enters with 13 players on the injury report. Quarter-Kelly stake sizing at this edge suggests 0.03 units. The expected value after vig sits at +0.2%, a modest but measurable advantage in a morning slate.
Supreme Brain assigns Boston a 63.0% win probability against the Angels at -163 odds—13 percentage points above the market-implied 50.0% and the highest clean win probability on today's slate. The model sees a pitching mismatch that the price hasn't fully absorbed.
The Red Sox edge toward a strong play at -163 because their established ace with a sub-3.00 ERA faces a rookie posting a 5.00-plus ERA, and Boston's fresh bullpen can cover late innings if the starter delivers six-plus frames. The model calculates +1.7% expected value on the current line.
This pick breaks if the Red Sox starter fails to reach the sixth inning. Supreme Brain's model assumes six-plus frames from the ace; anything less forces Boston's fresh bullpen into extended duty and gives the Angels the grinding, high-leverage spots where they've shown they can compete. If the starter exits early—whether from inefficiency, hard contact, or a short leash—the win probability collapses toward a coin flip, and -163 becomes a bad price fast.
Quarter-Kelly stake sizing at +1.7% edge suggests 0.03 units, a modest bet that respects the variance in any single game. But the pitching mismatch is real, the bullpen is rested, and the model sees value the market hasn't priced in.