2021 College Football Mathematical Preview: The Big Ten
This summer, as is my annual tradition, I have been applying a set of mathematical tools to try to better understand how the coming college football season may play out. In part one of this series, I presented the first set of data from my simulation of the full season, and completed a full breakdown of Michigan State’s schedule. Today, it is time to take a broader look at the Big Ten.
The basic method that I utilize involves generating an average preseason power ranking of all 130 FBS college football teams using the consensus of the rankings from various magazines and websites. I can then project point spread and victory probabilities for every game in the upcoming season, including possible College Football Playoff matchups.
As an additional input to my model, I also add the historical uncertainty in the preseason rankings themselves. Finally, I perform 100,000 Monte Carlo simulations