Modeling Baseball Games with Monte Carlo Simulations

This project estimates player value and team performance using Monte Carlo simulations with high school baseball statistics. It addresses the challenge of evaluating players with limited statistics by creating a model that simulates games based on player statistics. The project includes analyzing the impact of player substitutions, evaluating different lineup strategies, and generating synthetic datasets to understand team performance factors.

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