(Updated with games through 1/14/2022)
Track your college basketball team’s quad 1 wins along with their record in the other three quads. The quadrant classification system 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 “Quad Score” combines the quadrant records for a team into a single metric by dividing the accumulation of quad score points by the number of games played.
Click Column Header to sort. Hover over number to see team’s opponents in that quadrant.
NCAA Team NET Quadrant Wins and Losses Tracker
(NET rankings from NCAA.com)
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I’m most interested in seeing the actual team-by-team breakdown of Quad wins. Am I missing something as far as more specific team breakdowns?
This page shows the number of wins and losses every team has in each Quadrant. If you’re viewing on a PC, you can hover over the number to see which teams make up that total. If you are looking for more details, the NCAA publishes Team Sheets. It’s a pdf document with a whole page dedicated to showing the details of a team. Click on the “NET Team Sheets” link: https://extra.ncaa.org/solutions/rpi/SitePages/Home.aspx
I don’t like this methodology as much as others because there are no metrics as far as “then” versus “now”. I mean if a team struggled a month ago but most of their quad one wins are more recent (they are on a roll “now”) then this method is not measuring that parameter.
If one team has four quad one wins and they were all before Christmas and another team has four quad one wins but all in the last month, then I’m saying the latter team is hotter, looking at then versus now history.
Thanks for the comment, Mike. I assume you’re referring to the Q Score. My intention is to aggregate Quadrant wins and losses into a single metric in a simple, straightforward way.
If you’re looking for a ranking methodology that is a better predictor for future performance, then I’m with you. A rating that weights more recent results a little more is preferred.
The Q Score could be considered a resume-related metric. The Selection Committee doesn’t consider how hot a team is, so at least the Q Score is relevant.
I’m curious. What other methodologies that consider recency do you like more?
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