Machine Learning Models: Using algorithms like neural networks and random forests, these models train prediction models from large samples of match data, gradually improving accuracy. This shift marks the transition of football prediction from “experience-based judgment” to “algorithm-driven” approaches.

Who's leading after MD4? And what do our writer, the algorithm, a child and this week's subscriber expect to see on Matchday 5?

Check out the latest Virginia high school football computer rankings for every classification as of September 15, 2025