The MLB Program is a predictive analytics model designed to forecast the outcome of every Major League Baseball regular-season game. By leveraging a combination of advanced metrics like SIERA and wRC+ alongside more traditional stats such as OBP and ERA, the program delivers data-driven insights to help users make informed betting decisions – whether it is straight moneyline wagers or complex parlays.
All data used in the model is sourced from FanGraphs and is updated approximately every 3 to 4 days, following the conclusion of each MLB series. To ensure accurate predictions early in the season, the first two weeks rely on ZiPS projection data before transitioning to real-time player statistics.
The MLB Program was created by Elijah Carrasquillo, a Mathematics-Computer Science graduate from Purdue University and a lifelong baseball enthusiast. His passion for analytics and the game itself drives continuous improvements to the model, making it a reliable resource for baseball fans.
TheMLBProgram 