This post walks through how to design a sports betting system in R using Bayesian probabilities, expected value, and Kelly position sizing.
The focus is not on picking winners, but on building a robust decision-making framework that survives variance. Includes probability modeling, EV logic, and bankroll management concepts implemented in R.
This post walks through how to design a sports betting system in R using Bayesian probabilities, expected value, and Kelly position sizing.
The focus is not on picking winners, but on building a robust decision-making framework that survives variance. Includes probability modeling, EV logic, and bankroll management concepts implemented in R.