Baseball-Lineup-Optimizer

R model for optimizing a baseball lineup based on the starting pitcher

Features:

• Uses historical player performance data to predict expected runs.
• Applies machine learning and linear programming (lpSolve) to determine an optimal batting order.
• Considers pitcher handedness (LHP/RHP) to adjust expected player performance.
• Simulated dataset for proof of concept with customizable player statistics.

Technologies Used:

• R (Tidyverse, lpSolve, caret)
• Linear Optimization for lineup selection
• Probability-based Performance Estimation based on OBP and AVG

How It Works:

1. Loads player performance data against left and right-handed pitchers.
2. Determines expected performance based on the starting pitcher.
3. Runs an optimization model to create the highest-scoring lineup.
4. Outputs the best batting order for maximum expected runs.