Early Resume Metrics | Page 2 | The Boneyard
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Early Resume Metrics

This goes to show how meaningless these rankings are so early in the season.....SOS is 38? I'd like to see the 37 ahead of us.
Something I have wondered but finally googled kenpom strength of schedule includes all past and future games on the schedule. So we get penalized for the low kenpom ratings of some of our future opponents.
 
Any top 4 seed will do. As long as we're playing well coming down the stretch....
If we take care of business we should definitely get ourselves to Philly for Rds 1 and 2. Generally I agree whichever regional won't matter, though DC would be nice
 
There is no "good player" making half $1 million a year. 1st round draft picks, maybe.
Are you paying any attention to college basketball at all? The going rate for starters is more than that in the transfer portal regardless of draft status
 
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Are you paying any attention to college basketball at all? The going rate for starters is more than that in the transfer portal regardless of draft status

The top ten made a million $+. I doubt the next 20 (1st round) averages $500k.

The crazy money will go down, not up.
 
Not sure where to put this but here seemed O.K.

ESPN's Power Rankings. Huskies #4 behind Michigan, Purdue and Arizona. St. John's hanging on at #25.

4. UConn Huskies

Previous ranking: 5
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We've still yet to see a fully healthy UConn, but the version we've gotten through the first month of the season is good enough to compete for a third title in four years. Braylon Mullins made his debut against Illinois last week and didn't take long to show why the Huskies have been so eager to get him on the floor. He was a key catalyst in the win at Kansas, finishing with 17 points and three 3-pointers. Meanwhile, Tarris Reed Jr. returned against the Illini but played only 15 minutes, then sat against Kansas. Freshman Eric Reibe has provided a huge lift in Reed's absence, averaging 12.8 points and 6.3 boards over the past four games.

Next seven days: vs. East Texas A&M (Dec. 5), vs. Florida in the Jimmy V Classic in New York (Dec. 9)


 
SOS has always been a flaw, will always be a flaw. Simple by design, but still a good analogy

Team A plays, 1,2,3 and 350

Team B plays 20,40,80 and 100

Team B played a tougher schedule


I think SOS should be about playing teams that can beat you. Playing team 150 instead of team 350 should NOT give you any advantage in any statistical analysis of highly rated teams

Of course, I'm an eye test guy so there's that
 
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SOS has always been a flaw, will always be a flaw. Simple by design, but still a good analogy

Team A plays, 1,2,3 and 350

Team B plays 20,40,80 and 100

Team B played a tougher schedule


I think SOS should be about playing teams that can beat you. Playing team 150 instead of team 350 should NOT give you any advantage in any statistical analysis of highly rated teams

Of course, I'm an eye test guy so there's that
Wouldn’t it seem the solution is taking out the 350?
 
Just looking at NCSOS on Kenpom of P5 conference teams ahead of UConn (49) and their actual schedules so far vs other P5 teams (+Zags) then the mid/low majors they played:

Bama (2) - SJU, Purdue, Illinois, Zags, Maryland, Clemson - North Dakota, UNLV

Michigan (7) - Wake, TCU, Auburn, Zags - Oakland, MTSU, SDSU

KU (11) - UNC, Duke, ND, Tennessee, UConn - Green Bay, Texas AM - CC, Princeton, Cuse (heh)

Florida (15) - Zona, FSU, Miami, TCU, PC, Duke - North Florida, Merrimack

SJU (17) - Bama, ISU, Baylor, Auburn - QU, WM, Bucknell

Zags (23) - OU, Creighton, ASU, Bama, Maryland, Michigan - Texas Southern, Southern Utah

BYU (24) - Nova, UConn, Wisconsin, Miami - Holy Cross, Delaware, Dayton, CA Baptist

That's it, the rest are all mid to low majors. I think those make sense.
 
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SOS has always been a flaw, will always be a flaw. Simple by design, but still a good analogy

Team A plays, 1,2,3 and 350

Team B plays 20,40,80 and 100

Team B played a tougher schedule


I think SOS should be about playing teams that can beat you. Playing team 150 instead of team 350 should NOT give you any advantage in any statistical analysis of highly rated teams

Of course, I'm an eye test guy so there's that
Not every strength of schedule is an average. There are other ways of doing it. KenPom uses a hypothetical median team against your schedule expected record thing.

"The SOS figure represents the strength of team that would be expected to win half its games against the team’s schedule. It is handy because it minimizes the effect of outliers on the SOS calculation while allowing everyone’s SOS value to be compared on the same scale."
 

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