Good?
This could mean that coaches will tend to keep their starters in longer just to ensure a 10+ point victory. If you think back to the National Championship game in 2004, its crazy to think the final margin was 9 points. I think at some points we were up by almost 30.It is better but there is a cap on scoring margin of 10 pts if not mitaken. That to me is a very low cap. Would prefer 20 pt cap. Games are nail bitters all the time until late game fouling which push the result to +10.
Good?
They don’t mention the embedded FOE algorithm Friends of Emmert
I'll bet you a cold one that this turns out very well for the schools that were behind the change, that is the so-called P5
IMO that’s much less of a problem than Pitino keeping his starters in the whole game against Weber St and winning by 50, then complaining in March that he’s under seeded when in reality, his team’s efficiency vs the top 100 teams was way worse than it was in November.This could mean that coaches will tend to keep their starters in longer just to ensure a 10+ point victory. If you think back to the National Championship game in 2004, its crazy to think the final margin was 9 points. I think at some points we were up by almost 30.
Lol...I stopped reading at "The NCAA has developed..."
very interested to see how this turns out.
i had made a few attempts at developing a machine learning model based on team stats and kenpom to build my brackets in prior years.
the main issue i foresee with this is machine learning methods (neural networks in particular) are usually a black box in that it can be hard to explain why the model made a specific decision. so when this new model leaves your team out of the tournament it may not give you a clear reason why.
and for those that are always looking for the anti-uconn angle in ncaa decision making, perhaps they trained the model with a bias against uconn, to ensure lower rankings in the future.
One might argue that at least ECU IS the dregs of college basketball! Oh, sorry DePaul...Thanks NCAA, now ECU and Tulsa can continue to schedule the dregs of college basketball. - Mike Aresco
Anytime you see "strength of schedule" and "quality of wins and losses", run for the hills.
Who, using what criteria, sets the baseline from which "strength of schedule" is determined at the beginning of the year? Is there some method by which it will be mitigated as the year goes on if teams' schedules are rated inappropriately at the start of the year?
How do you measure "quality of wins and losses"? Using what criteria? Will this system continually adjust the SOS and "quality" measures so early season biases are overcome by the final rating date?
Can't wait for "conspiracy kitty's" take on this, especially as to whether it is designed to benefit the Power Five and the NBE.
One might argue that at least ECU IS the dregs of college basketball! Oh, sorry DePaul...
They [NCAA] heavily outsourced the research.