Other teams will tend to perform in a way that is highly correlated with the strength of their opponent. Differences in style, coaching philosophy, and performance in close games can easily be overlooked if we look at scores alone. The MLE ratings are used to create a prior distribution, which encodes the estimate of a team's strength based on looking at its game scores alone. The advantage of the Bayesian approach is that it rewards teams that win consistently, no matter how they do it. The more games a team wins, the more confident the computer can be that scores are not so important.
Ratings are less likely to be negatively impacted by beating a poor team.
Furthermore, games involving well-matched opponents will naturally be given priority in determining the overall ratings. Schedule strength is measured. Conference ratings are determined. The ratings are scaled to be centered at zero with standard deviation of one. Output My code implements a markup language that allows me to generate multiple web pages automaticly.