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Creighton @ SHU - ESPN - SHU 33.2% Chance of Winning

big beat explosion GIF by Big Beat Records
 
Just like St Johns , this will change by Sat Morning--altho Hall will be most likely Dawg
 
Lol. Still amazed at how some fans have NO IDEA how analytics and predictive metrics work. Too funny.
Which is that they are calculated by hand, not with a goal of most making the most accurate prediction but instead to anger Seton Hall fans. Right?
 
They use BPI metrics
here are the BPI metrics.......

SHU is 63rd highest overall BPI index. A ton of stats and metrics go into that number.
Creighton has a higher BPI index than UConn.... plus,
Nova, ST John's, Marquette, Xavier, Providence all higher than SHU

You'd have to know the inner workings of this process to figure out what it really means. You would have to know how each metric is measured and relative weight it carries vs other metrics.
 
here are the BPI metrics.......

SHU is 63rd highest overall BPI index. A ton of stats and metrics go into that number.
Creighton has a higher BPI index than UConn.... plus,
Nova, ST John's, Marquette, Xavier, Providence all higher than SHU

You'd have to know the inner workings of this process to figure out what it really means. You would have to know how each metric is measured and relative weight it carries vs other metrics.
That means we’ve moved up one spot from our 9th place preseason prediction. That’s good news!
 
Lol. Still amazed at how some fans have NO IDEA how analytics and predictive metrics work. Too funny.
Or he could simply be suggesting that their model is flawed, as every predictive model is to some extent. For example, if ESPN's matchup predictions really are from BPI, the major flaws for predicting a the result of a single game are the over weighting of full body of work and under weighting (if not complete ignorance) of recent form.
 
Or he could simply be suggesting that their model is flawed, as every predictive model is to some extent. For example, if ESPN's matchup predictions really are from BPI, the major flaws for predicting a the result of a single game are the over weighting of full body of work and under weighting (if not complete ignorance) of recent form.
All of that may be true, it's also true that we're all (mostly) fans here and thus biased towards our team.

We believe the system is biased against us and forget all of those poorly played games in November and December (which do count).

The reality, of course, is probably somewhere in the middle.
 
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