2025-26 Basketball Schedule | Page 13 | Syracusefan.com

2025-26 Basketball Schedule

My understanding is 10 is the limit/metric as I understand it but it rounds down so many hit that 10 mark with many teams moving up and down between 9 and 10 as it averages out.

So for instance if you have a MOV of 9.5 and then win a few games by 30, over a 31 game season you will see a move to being at 10 which if weighted improperly will jump you in the rankings. All the same if you win by 40 8 times then you can no longer have to worry about having a MOV value of 10 throughout the year or just below at worst.

So using efficiency metrics and MOV can duplicate the weighting of large wins. This getting rid of it or using a Sagarin like approach makes more sense to get a comprehensive ranking that helps avoid bias.
The NET is even dumber than I thought if it's taking season long average margin of victory instead of individual game margin of victory.

Smh.
 
The NET is even dumber than I thought if it's taking season long average margin of victory instead of individual game margin of victory.

Smh.

I don’t know the actual calculation but it’s baked into the efficiency rating and my understanding is that it’s a 0-10 value in how it’s plugged in. All that said, it carries a very high correlation to the ranking itself so it’s clearly over valued whatever the exact formula that’s used when applying it to the efficiency metric. Clearly it’s over weighted or double counted the way the data models out.

Also average MOV over the season is what it would add up to anyways even if baked in or weighted in accordance with opponent using actual vs expected etc
 
It's a simple fix... Don't count margin of victory past a certain point. Maybe anything past 10 points is weighted by half and anything above 20 is ignored.

Beating a school ranked 200 by 10 becomes more valuable than beating team 300 by 40. Right now it's the opposite, since margin of victory is so important.

It's kind of gross that the NCAA decided to make poor sportsmanship an integral part of their sport.

I think they already use a bit of this.
 
I don’t know the actual calculation but it’s baked into the efficiency rating and my understanding is that it’s a 0-10 value in how it’s plugged in. All that said, it carries a very high correlation to the ranking itself so it’s clearly over valued whatever the exact formula that’s used when applying it to the efficiency metric. Clearly it’s over weighted or double counted the way the data models out.

Also average MOV over the season is what it would add up to anyways even if baked in or weighted in accordance with opponent using actual vs expected etc
It is crazy that a message board full of basketball junkies can't even figure out exactly how the NCAA determines who makes its playoffs.
 
I don’t know the actual calculation but it’s baked into the efficiency rating and my understanding is that it’s a 0-10 value in how it’s plugged in. All that said, it carries a very high correlation to the ranking itself so it’s clearly over valued whatever the exact formula that’s used when applying it to the efficiency metric. Clearly it’s over weighted or double counted the way the data models out.

Also average MOV over the season is what it would add up to anyways even if baked in or weighted in accordance with opponent using actual vs expected etc
Not really... If you beat one team by 41, but they cap the effective margin of victory at 15 points, and your next game you win by 1, your average margin is 8. Under the current system it's 21. As you pointed out, to maximize your whole season margin of victory, 8 wins by 40 guarantees you the maximum MOV if you are even in the rest of your games.

Using an individual game cap prevents you from maximizing your NET merely by pounding a handful of bad teams. Obviously, the professional statisticians know this type of thing,yet they chose to have routine blowouts of bad teams be the way you must schedule and perform to get a high ranking for your team and your conference.
 
Not really... If you beat one team by 41, but they cap the effective margin of victory at 15 points, and your next game you win by 1, your average margin is 8. Under the current system it's 21. As you pointed out, to maximize your whole season margin of victory, 8 wins by 40 guarantees you the maximum MOV if you are even in the rest of your games.

Using an individual game cap prevents you from maximizing your NET merely by pounding a handful of bad teams. Obviously, the professional statisticians know this type of thing,yet they chose to have routine blowouts of bad teams be the way you must schedule and perform to get a high ranking for your team and your conference.
How many Suny schools are division 1 in basketball? If enough schedule them every year to build up your net .
 
Not really... If you beat one team by 41, but they cap the effective margin of victory at 15 points, and your next game you win by 1, your average margin is 8. Under the current system it's 21. As you pointed out, to maximize your whole season margin of victory, 8 wins by 40 guarantees you the maximum MOV if you are even in the rest of your games.

Using an individual game cap prevents you from maximizing your NET merely by pounding a handful of bad teams. Obviously, the professional statisticians know this type of thing,yet they chose to have routine blowouts of bad teams be the way you must schedule and perform to get a high ranking for your team and your conference.

So you have to cap wins and losses alike. If you switch to a cap in each game then you create the same scenario it’s just a different scale since ultimately it’s baked in and applied to the efficiency metric with weighting applied. What happens in that scenario is more teams that max out the most times on the positive side run together on that variable only separating based on the others.

The various scoring models have variances in what metrics have the highest correlation to the rating and thus the Sagarin style approach balances things out better and eliminates the insane task of figuring out which one rankings algorithm is best.
 
4 - Albany, Binghamton, Buffalo and Stony Brook
Yes, and according to this list there are a total of 23 schools in NYS that are D1 in basketball. Looks right, but they have Binghamton listed twice, so I can't vouch for the validity of the list.

 
Yes, and according to this list there are a total of 23 schools in NYS that are D1 in basketball. Looks right, but they have Binghamton listed twice, so I can't vouch for the validity of the list.


Tony Kornheiser must have written a big check.

And St Francis dropped MBB after 2023.

Other than that, the list looks OK.

  • Binghamton University
  • Canisius College
  • Colgate University
  • Columbia University
  • Cornell University
  • Fordham University
  • Hofstra University
  • Iona College
  • Le Moyne College
  • Long Island University
  • Manhattan University
  • Marist College
  • Niagara University
  • Siena College
  • St. Bonaventure University
  • St. Francis College
  • St. John’s University – New York
  • SUNY Binghamton University
  • SUNY Stony Brook University
  • SUNY University at Albany
  • SUNY University at Buffalo
  • Syracuse University
  • United States Military Academy
  • Wagner College
 
I wonder what’s going on w/ the Binghamton game. Binghamton released their schedule today and Cuse isn’t on there. Thought it would be 11/3-11/4 but no room on the Binghamton schedule.
 

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