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kenpom. com content Conference pages Projected conference records and sortable advanced stats for conference games kenpom com all-conference teams
The kenpom. com blog Now, with a kenpom com subscription, you can participate in the world’s first human-based 1-362 preseason poll for college basketball Instead of the elite voting in a poll honoring the elite, everyone can vote in a poll honoring every team
Ratings Explanation | The kenpom. com blog [The ratings methodology was given a tweak before the 2014 season See this for the details -kp] [Also see this page for an explanation on adjusted efficiency calculations -kp] The first thing you should know about this system is that it is designed to be purely predictive If you’re looking for a system that rates teams on how “good” their season has been, you’ve come to the wrong
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Ratings methodology update | The kenpom. com blog (For some words on the previous iteration of the ratings and what the columns on the ratings page mean, go here ) You may have noticed that the ratings pages look a little bit different than they used to The Pyth column has been changed to AdjEM (adjusted efficiency margin) and likewise, strength of schedule and conference strength measures have been converted to the new scale The main
Program ratings | The kenpom. com blog Update in 2024: The algorithm has been modified slightly The same inputs you know and love (team strength, conference strength, and recruiting history) are still the only inputs, but the way they are time-decayed is more mathematically acceptable I’m not sure it makes for a better list, and the changes for most teams are small, but it will make things slightly more coherent from season to
Stats Explained | The kenpom. com blog Let’s start with the most basic stats to measure the ability of a team’s offense and defense Offensive efficiency Points scored per 100 offensive possessions Defensive efficiency Points allowed per 100 defensive possessions In order to compute efficiency, we need to know how to compute possessions Possessions We can estimate possessions very well from box score stats by using this