I'm taking a composite of 4 different models, similar to what FiveThirtyEight does, and the same technique as last year:
- FiveThirtyEight (so I'm including a composite of a composite)
- KenPom (who's ratings are also included in FiveThirtyEight, so they're counted twice)
- Powerrank (created and maintained by Ed Feng)
- Massey Composite (another composite, this time spanning 68 rating systems)
I then use a weighted average of these 4 ratings that reduces outliers by weighting the ratings closer to the median higher. This smooths out the final Aggregate ratings that I then use to project the tournament. That being said, I have a good deal of trust in all of the above rating systems, so I wouldn't expect anything too crazy outlier-wise.
Note: For simplicity, I've taken the highest rated team in each play-in game and included them.
Some quick reactions:
- North Carolina seems to have the toughest route, but also has the lowest rating in my model of the 1 seeds. These two combined factors result in the lowest probability of the 1 seeds of reaching the Final Four (32.56%)
- Of course Virginia has the lowest chance of winning their first game out of all the 1 seeds (97.08%)!
- The fan base that has the best right to complain is Michigan St: they're #4 overall, yet get #2 Duke in the Elite Eight, and only have a 27.24% chance of reaching Minneapolis
The top 12 teams in the tournament are as follows:
A word of caution about straight up copying the above: in most pools you want to gauge "contrarian" picks relative to the overall pool. My suggestion would be to use the above probabilities as a guide ("I'm just a guide"), and make contrarian picks that have a good chance of happening (like picking a champion that has solid odds but isn't necessarily the favorite).