StrikeCalcM

StrikeCalcM is a software tool and analytics framework designed to model and compute strike-related metrics for baseball pitching analysis. It integrates pitch trajectory modeling, strike-zone geometry, and batter response to estimate the probability that a given pitch results in a strike, balls in play, or fouls. The tool supports Monte Carlo simulations and Bayesian updating to incorporate new data as it becomes available. It provides a modular architecture with core engines for physics-based trajectory calculation, a probabilistic strike-zone module, and data adapters for common data sources such as Statcast-style data.

Users can run scenario analyses, compare pitcher repertoires, and quantify umpire variability in call outcomes. Output includes strike probability curves, expected value estimates for pitches, and visualizations of pitch outcomes over time. The project is designed for researchers, coaches, and broadcasters seeking transparent, reproducible analytics.

StrikeCalcM is released as open-source software with a permissive license. The project is community-maintained, with contributions ranging from core engine improvements to data-format plugins. It has been adopted by university programs and independent analytics groups for teaching and exploratory studies. The name StrikeCalcM is treated as a generic project name and not associated with any specific organization.