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MLB

MLB Analysis

Data-driven win probability analysis for every MLB game. See which factors impact outcomes and understand the reasoning behind the numbers.

Baseball win probability is driven more by pitching than any other factor in major sports. The model starts with the starting pitcher matchup — ERA, FIP, WHIP, and platoon splits against the opposing lineup. Park factors adjust for stadium dimensions and altitude (Coors Field adds roughly 10% more runs per game than a neutral park). Weather has an outsized role: temperatures below 50°F suppress offense, and wind blowing in from center field can flip a hitter-friendly park into a pitcher's park. Bullpen depth, recent usage patterns, and day/night splits round out the model. Lineup projections are updated when official batting orders post, typically 3–4 hours before first pitch.

Key Factors in MLB Analysis

What our model considers for predictions

Offensive & Defensive Efficiency

ERA, OPS, and park-adjusted run differentials measuring team performance

Rest Days & Schedule

Teams on back-to-backs face significant disadvantages

Injury Impact

Key player availability impacts win probability

Weather Conditions

Temperature, wind, and precipitation affect outdoor games

Home Field Advantage

Playing at home provides a measurable advantage

Head-to-Head History

Historical matchup results between teams