Outcomes of major league games winning/losing margins and total points scored relative to the odds makers lines in baseball, basketball and football are graphed in terms of sports metric candlestick charts and then forecast in terms of adaptive drift modeling. The charts are constructed to reveal ad hoc forecasting patterns that may contribute to effective forecasting. These patterns are then included with variables contained in major sports databases. The augmented databases then provide input variables in the drift modeling forecasts.
