⚾ Analyze pitcher predictability with Predict+, an R script that quantifies pitch selection patterns in baseball to enhance your game insights.
Python Baseball Simulator
Article and R Markdown scripts for analysis of 2024 MLB pitch framing
Dabbling into baseball analytics with Agentic AI
This project explores baseball statistics using Python to identify basic patterns and insights from player and team performance.
Measuring MLB and AAA pitcher unpredictability in R through machine learning analysis of pitch selection
Get a simple digest of the latest game for a selected MLB team.
Project to project baseball player performance, both current season/rest of season, and future seasons.
Calculates and publishes recommendations for the most "watchable" Major League Baseball games every day.
Baseball Data Analysis / Visualization based on MLB / Baseball Savant
AI-powered baseball analysis.
Predicting Pitch Distribution using Quantile Regression in Baseball
A novel baseball analytics project that measures how pivotal game moments (high WPA changes) impact player career trajectories. Uses Statcast data and machine learning to calculate MSS scores (-100 to +100) for both pitchers and batters, bridging statistical analysis with the human stories that define baseball careers.
A Python application and library that generates comprehensive advanced stat summary sheets for MLB players, customizable by year, providing in-depth analysis and visualizations. It can also be used as a library module, enabling users to develop their own features and extend functionality for custom applications and data processing needs.
🤖 Este es un proyecto de chatbot diseñado para actuar como un experto en el béisbol cubano.
era-adjusted statistics in negro league
MCP server for advanced baseball analytics (statcast, fangraphs, baseball reference, mlb stats API) with client demo
Data-driven analysis of Philadelphia Phillies performance trends using multi-timeframe rolling averages and age cohort analysis
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