This goes hand in hand with my belief that the .NET rewards blowing out really weak teams. The algorithm doesn't seem to discount being very efficient against very bad teams sufficiently. I may be wrong. That is why my earlier request to see the alternate runs of the .NET. Lets see the evidence one way or another.My biggest gripe with solely using computers to seed/select teams is exemplified by the following example this year: Auburn
The computers love them because of their incredible efficiency when winning, but have lost to most of the good teams they played. They are in top 5 or 6 in most computer metrics. Most would agree that they have no business being a 1 or 2 seed, but if we went off these computers that would happen.
That is why I like the blended approach the committee uses. Human factors matter (injuries, etc.), and computers are not able to fully account for this.
SEC has top 2 seeds out so they might not face a good teamMy biggest gripe with solely using computers to seed/select teams is exemplified by the following example this year: Auburn
The computers love them because of their incredible efficiency when winning, but have lost to most of the good teams they played. They are in top 5 or 6 in most computer metrics. Most would agree that they have no business being a 1 or 2 seed, but if we went off these computers that would happen.
That is why I like the blended approach the committee uses. Human factors matter (injuries, etc.), and computers are not able to fully account for this.
Vegas odds put them around 7th in the country, so it isn't just computers that like them.My biggest gripe with solely using computers to seed/select teams is exemplified by the following example this year: Auburn
The computers love them because of their incredible efficiency when winning, but have lost to most of the good teams they played. They are in top 5 or 6 in most computer metrics. Most would agree that they have no business being a 1 or 2 seed, but if we went off these computers that would happen.
That is why I like the blended approach the committee uses. Human factors matter (injuries, etc.), and computers are not able to fully account for this.
We gotta win tomorrow.Lunardi still has Illinois as the top 4-seed as of his update 10 mins ago.
I don't think Creighton will drop. They have a lot of good wins this year. I'll be very surprised if they do.The 3 seed is looking more likely Duke, Kentucky, Creighton all 3/4 seed in front of us going down.
Get to the B10 Finals, and we get a 3 Seed win or lose.
The Selection team loves to set up tough 1-4 seeds and Duke and Kentucky are bigger draws than us
Ignore Lunardi. He hates Illinois. He always has us at least one seed lower (worse) than the Committee.Lunardi still has Illinois as the top 4-seed as of his update 10 mins ago.
The way Nebraska has showed out tonight, a win tomorrow would look great for the resumeJust win tomorrow and pretty sure we'll be a lock for a 3.
He may hate us but he has us as a 3 seed right at this momentIgnore Lunardi. He hates Illinois. He always has us at least one seed lower (worse) than the Committee.
I just checked his bracket, and it still has us at 4 (last updated last night though). Where are you seeing this?He may hate us but he has us as a 3 seed right at this moment
Playing a full season means something. They collapsed mid season. They were hot at the end, but can't just ignore those games.I think o$u should be in. If you were a 5 seed would u want to play them or would you rather play Iowa. O$u looks more complete Iowa could beat you if they got hot on offense
Agree. Sagarin used to have a recency measure in his analysis. Early games should matter, but not as much as how a team finishes.Running up efficiency numbers against weak teams causes the conference to be rated higher. Once conference play starts, as you observed, it becomes a closed loop. I want to see how the conferences rate without the noise in the data from playing clearly overmatched teams.