Check out the new Projected NCAA Tournament Team Comparison page. It includes two tables showing a list of teams along with some of the metrics the NCAA Tournament Selection Committee will use as selection criteria, including NET, Kenpom, and Sagarin ranks, along with NET Quadrant records.
One table includes teams projected to make the tournament according to the Bracket Matrix, a compilation of bracketologists’ projections from across the internet.
The other table includes all NCAA Division 1 men’s basketball teams.
The wonderful Team Quadrant Wins and Losses Tracker is back! (click here)
What is a Quadrant?
This is the third year the NCAA Tournament Selection Committee is using a quadrant classification system as one of their selection criteria. The quadrant classification breaks down a team’s schedule and results in four quadrants with the purpose of placing greater emphasis on games played on neutral courts and in true road environments. The quadrant breakdown, based on NET rank and where the game is played, is as follows:
Q1 Wins Matter
Besides being a major decision criteria for the Selection Committee, the number of Q1 wins has shown to be a strong predictor of tournament success. We only have one season of NET rankings, so I’m talking Q1 wins based on the old RPI rankings. Click here to see what the magic number is and a little more on the subject (I’ll update soon with more data).
I’m not a “bracket of integrity” I-only-fill-out-one-bracket type of guy. I’m a numbers guy. I like to hedge, play the averages, and most of all take risk. So I always fill out several brackets, but here’s a pretty good one.
This year, I’ve gathered some bracket probabilities from other websites to compare with my calculations and so we can score them all after the fact to see whose models performed best. I was able to find predictions at the following websites:
An early exit for a top seed is losing in the first weekend of the tournament, or in other words failing to reach the Sweet 16.
Only 67% of 1-3 seeds reach the Sweet 16, so this happens often enough that you should at least consider it while making your picks. According to my lovely computer model (which is amazing), here are the most likely top-seeded teams to make an early exit. Most interesting observation: three of these teams have a greater than 40% chance of going home early…
Bracket Buster definition: a 6+ seeded team that reaches the Elite 8
Most bracket fillers conservatively stick to the highest seeds when picking their Elite 8 teams, and rightly so – 81% of all Elite 8 teams were seeded 1-5. So when a 6+ seed team reaches the Elite 8, most people’s brackets are busted. Based on simulating the tournament thousands of times with my sweet computer model (click here to see just how amazing it is at predicting NCAA Tournament outcomes), here are this year’s most likely Bracket Busters.
My definition of a Cinderella team: an 11+ seed team from a mid-major conference that reaches as least the Sweet 16. Correctly identify a Cinderella team in your bracket, and you’ll not only look like a genius, but also increase your chances of winning your bracket pool. Based on simulating the tournament thousands of times with my sweet computer model (click here to see just how amazing it is at predicting NCAA Tournament outcomes), here are the most likely Cinderellas.
Increase your chances of winning your bracket pool by using simulation results from BracketResearch.com’s computer model. Click here to see just how amazing it is at predicting NCAA Tournament outcomes.
Our artificially intelligent model has identified 12 teams that have a greater than 20% chance of pulling of an upset in the First Round of the NCAA Tournament. Only two teams are expected (greater than 50% chance) to win their first game.