Today's Predictions

Win probabilities from 10,000 Monte Carlo simulations per game using Markov chain + Elo ensemble model.

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How It Works

⚡ Markov Chains

Every batter and pitcher has a 25-state transition matrix built from 10 seasons of play-by-play data. We simulate each at-bat probabilistically.

📊 Elo Ratings

Dynamic team ratings that update after every game, capturing momentum and strength of schedule. Blended 50/50 with Markov for best accuracy.

🎲 Monte Carlo

10,000 full game simulations per matchup. Win probabilities and score distributions — all from the same engine.