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 Yankees enter today's slate with nine players on the injury report—including Aaron Judge—yet Supreme Brain assigns NYY +1.5 a 92.0% cover probability against a market-implied 50.0% at -202 odds. That 42-point gap translates to +5.0% expected value, enough to warrant a quarter-Kelly stake of 0.76 units. The thesis is simple: New York only needs to avoid losing by more than one run. Cleveland carries five injury-report names of its own, and the run line offers insurance the moneyline cannot. You're laying two dollars to win one, which caps upside if the Yankees win outright, but the model sees this as a high-conviction play in a Judge-less lineup. The edge lives in the cushion, not the ceiling.
Aaron Judge is out, and the Yankees carry nine players on the injury report at first pitch. Yet Supreme Brain assigns NYY +1.5 a 92.0% cover probability—42 points above the 50.0% market-implied odds at -202.
The thesis: New York only needs to lose by one run or win outright to cover, and the model sees that outcome nine times in ten while the market prices it as a coin flip—a +5.0% expected-value edge that sizes to a 0.76-unit quarter-Kelly stake.
This breaks if Cleveland's pitching dominates early and the Yankees' injury-depleted lineup cannot manufacture late runs. A three- or four-run deficit by the fifth inning would require New York to mount a comeback without Judge, and the model's 92% confidence assumes competitive game script. If the Guardians pull away, the cushion evaporates.
Judge's absence makes the moneyline a gamble. The run line makes it a margin problem—and the model sees New York solving that problem in nine of ten simulations.