This post is part of a series about the 2016 NCAA Tournament.
One of my favorite parts of the thought experiment I call the Rating Systems Challenge is discovering how well the AP and USA Today voters performed when they submitted their preseason ballots. The answer, more often than not, is "pretty well." Take this year for example. Through two rounds, the preseason polls are ranked first and second in both points thus far and most possible points through the National Championship.
Key: Tot = total points scored so far (10/correct pick in Round of 64, 20/pick in Round of 32, etc...); Best = most possible points the system can win given later round picks and eliminations; Picks = correct picks so far; R64...NC = points scored per round; Rem = possible points remaining based on later round picks and eliminations.
For those of you who are unfamiliar with this project, it's rather simple. I look at NCAA men's basketball rating systems, simulators and betting markets. I take the data they provide and construct an NCAA Tournament bracket based on these data. For polls and rating systems, it's rather simple: the higher ranked school advances over the lower ranked school. With simulators and betting markets, the team with the highest projected likelihood of advancing is the team that advances. In cases that require a tie breaker, I rely on chalk (the better seeded team advances).
This year as last year, there are 21 rating systems in the Rating Systems Challenge. They range from the quotidian (chalk, postseason polls, RPI) to the advanced (Pomeroy, Sagarin) to the complex (FiveThirtyEight and Christopher Long's simulations) to the esoteric (LRMC Bayesian, Nolan Power Index). It is a diverse group of methodologies that picked a diverse group of teams to reach the Final Four and beyond.