KenPom Dropped

#53
#53
The Dog said:
Does it work ? Throw your Dog a bone and give me a lock or 2, this week
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This is best for win totals and I use it for a pool that im in. I would definitely not use this for picking single games, but if you wanted to ( which I don’t recommend betting your own money on this and if you lose it’s not my fault :) ) it likes a few of these
Indiana St -2.5
Western KY -26
Colorado -12
Texas Tech -21.5
 
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#54
#54
golfballs said:
This is best for win totals and I use it for a pool that im in. I would definitely not use this for picking single games, but if you wanted to ( which I don’t recommend betting your own money on this and if you lose it’s not my fault :) ) it likes a few of these
Indiana St -2.5
Western KY -26
Colorado -12
Texas Tech -21.5
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It's on me to place a bet and trust me, I want make a bet unless I agree with you. So in other words, I will never blame you, I'll blame myself. But it doesn't matter, we are going 4 - 0, plus I may parlay 3 of 4 after I go review all 4 winners and their opponents.
 
#55
#55
kckempf said:
Preseason rankings are always silly but it feels like they’re extra silly for analytical systems. Do they have analytics on freshmen and transfers that they can somehow apply before the season?
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I agree. The analytical algorithms are almost always garbage until well in to the season when enough data is available. By that time, they don’t provide anything more than what the eyes can tell you.
 
#56
#56
Love seeing ORN nationally ranked in both offensive and defensive rebound %. Going to need him to continue that
 

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#57
#57
JohnnyJava said:
I agree. The analytical algorithms are almost always garbage until well in to the season when enough data is available. By that time, they don’t provide anything more than what the eyes can tell you.
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You watch all 358 teams play?
 
#58
#58
golfballs said:
You watch all 358 teams play?
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No, I have not. But the rankings early on use elo ratings from the previous season (Heupel's and Pruitt's teams look a bit different, don't they?) and some factor in predictive talent infusions from recruiting services who have not watched all of the thousands of kids play that they are ranking. It's why you look at a win prediction in September and see that you have a 20% chance for a particular game, but by the time November rolls around you have an 80% chance of winning. If these predictive forecasts were performing outstandingly, particularly in the early season, you would see article after article with mounds of statistical supporting data touting the accuracy of these models.
 
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#61
#61
Projected 3-way tie for first (still a long way to go)

Florida has really moved up
 
#64
#64
The new KenPom+ launched. It’s pretty interesting. Geared towards coaches. And at $50 per team it’s a bit pricey for a fan.

Some of the features you can find from other sites like on/off stats or shot type analysis. Others are new like rebounding stats by shot type and sub patterns. And you can refine all the stats on the page based on specific games.
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