Practical field notes for using The Slip Lab with discipline: what each signal tells you, what it cannot tell you, and how to turn a crowded MLB slate into a researched shortlist.
A strong shortlist is not a list of famous power hitters. It is the product of filtering the live slate, testing the opposing pitcher and confirming that independent signals agree.
Read the field noteThe risk index identifies starting pitchers worth investigating. Learn why it is a starting point—not a home-run probability or an automatic instruction to target every opposing batter.
Read the field noteNo supporting signal should manufacture a play by itself. The useful edge appears when hitter power, expected pitches, location and game environment describe the same opportunity.
Read the field noteA public, date-stamped record of what the model expected, what actually happened and which calls were documented before first pitch.
Open the model reportThe live boards tell you what the current data says. Lab Notes explain how to interpret it. These articles focus on repeatable process, transparent limitations and the difference between identifying a favorable profile and predicting a certain outcome. Rankings and model signals are research tools—not guarantees or sportsbook odds.