Link: How Quadrant Records Work (Net Rankings)

[CajunCrimson]

NET rankings: What to know about college basketball's new tool to help select the NCAA tournament field

The NCAA Division I Men’s Basketball Committee has a new tool that hopefully should crystalize the ranking system before the selection and seeding of teams for the 2019 NCAA tournament.

www.ncaa.com

OU today is a Quad 1 game.

 

[whatsamatta U]

Thanks CC. I had not seen the actual quadrant numbers before.

 

[BamaFlum]

Seems to encourage more difficult schedules.

 

[CajunCrimson]

Thanks CC. I had not seen the actual quadrant numbers before.

I thought it was 1-25 for home. Looks like it’s 30 now. Liberty now is 33 in some services. So it’s possible that becomes another Q1 win.

Bama at 11-2 has the best Q1-2 record in the country.

 

[4Q Basket Case]

Interesting — so if you beat a team that’s lightly regarded early in the season — let’s say Quad 3 for the sake of discussion — but that team goes on a tear and ends being a Quad 1 team, your NET ranking goes up parallel with the improvement of that team.

So our win over Liberty is gaining value, but our win over North Carolina when they were ranked #1 is losing value.

I’m not sure if I like that or not. The age old debate of the perception of your opponent when you played vs. the end of the season. I guess it depends on what caused the change, especially if the opponent gets worse as the season goes on.

As in, was the team just overrated, or did they lose one or more star players to injury? If just overrated, the value of the win should decline. But if you played them when they had the stars who were later lost, the value of your win shouldn’t decline. Just my opinion, and I don’t know how you’d plug that into an algorithm.

 

[CajunCrimson]

Interesting — so if you beat a team that’s lightly regarded early in the season — let’s say Quad 3 for the sake of discussion — but that team goes on a tear and ends being a Quad 1 team, your NET ranking goes up parallel with the improvement of that team.

So our win over Liberty is gaining value, but our win over North Carolina when they were ranked #1 is losing value.

I’m not sure if I like that or not. The age old debate of the perception of your opponent when you played vs. the end of the season. I guess it depends on what caused the change, especially if the opponent gets worse as the season goes on.

As in, was the team just overrated, or did they lose one or more star players to injury? If just overrated, the value of the win should decline. But if you played them when they had the stars who were later lost, the value of your win shouldn’t decline. Just my opinion, and I don’t know how you’d plug that into an algorithm.

As long as UNC stays Top 50 it will stay a Q1 win.

 

[Crimson1967]

Interesting — so if you beat a team that’s lightly regarded early in the season — let’s say Quad 3 for the sake of discussion — but that team goes on a tear and ends being a Quad 1 team, your NET ranking goes up parallel with the improvement of that team.

So our win over Liberty is gaining value, but our win over North Carolina when they were ranked #1 is losing value.

I’m not sure if I like that or not. The age old debate of the perception of your opponent when you played vs. the end of the season. I guess it depends on what caused the change, especially if the opponent gets worse as the season goes on.

As in, was the team just overrated, or did they lose one or more star players to injury? If just overrated, the value of the win should decline. But if you played them when they had the stars who were later lost, the value of your win shouldn’t decline. Just my opinion, and I don’t know how you’d plug that into an algorithm.

I guess the system they use averages out things like playing an overrated team and one that gets a star player back or has a slow start.

No system is going to be perfect and trying to balance out all the variables may be impossible to quantify. Just win and let the chips fall where they may.

 

[4Q Basket Case]

I guess the system they use averages out things like playing an overrated team and one that gets a star player back or has a slow start.

No system is going to be perfect and trying to balance out all the variables may be impossible to quantify. Just win and let the chips fall where they may.

Amen on that last sentence.