The research problem
In sports markets, intuition is easy to confuse with edge. Prices move, information quality varies, correlated outcomes distort simple comparisons, and a favorable result can hide a weak process. Useful research needs a record that survives hindsight.
The approach
The lab organizes player-prop, daily fantasy, parlay, and prediction-market questions around available prices, implied probability, historical context, model evidence, and tracked outcomes. The point is to make the reasoning visible before the result is known.
The evaluation standard
A disciplined record distinguishes a forecast from a wager, a model output from a decision, and short-term variance from evidence of repeatable performance. Assumptions, exclusions, data timing, and market costs belong in the record alongside any result.
Current boundary
This page is research documentation, not betting advice. It makes no performance, profitability, or predictive-accuracy claims. Any future methods or results will identify limitations and responsible-use boundaries.
What comes next
The next publishable artifact should be a narrowly scoped methods note with a defined dataset, evaluation window, reproducible calculation, and explicit limitations.