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.
Today's Games
View all →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