Quote (SheriffCool @ Feb 23 2015 01:23pm)
I'm picking teams my math says have 55%+ chance to win. Obviously nothing is 100%, but Stuart is just grasping at straws, saying it only works for ncaa II teams is completely false, as I picked Oregon to upset Utah (#9 in the nation) yesterday, made the Michigan State pick yesterday, He is just a chump who never bets but is always a winner in his own mind. I'm sure this is not the formula to be a millionaire, but winning is winning and I'm not playing pin the tail on the donkey here. There is a lot more to it than luck and I don't need anyone's approval to keep winning consistently because I'm not guessing, I'm making informed decisions based on the the mathematical facts. This is the first season I have tried using this formula and it is working so far to help me make better picks and find mis matched teams. Sure I'm not going to pick every game right and I'm not asking anyone to follow me or buy in to it, I'm simply sharing because many have asked after watching me pick games in their threads or other peoples threads and hit to share my picks for the day. Anyone that has followed me has made money, because I have been, plain and simple. 42-14 NCAA games since Jan 28th and I'm not picking the gimme one easy game of the day, one game a time, I'm picking 4-6 games most days I make my picks.
so I did the math, assuming a probability of picking correctly 50% of the time, there is a 1/8530 chance of picking 42 correct games or more. Statistically unlikely, but not impossible. Lets say your model actually correctly picks games 55% of the time, that number drops significantly (i haven't studied combinatorics for awhile so I don't feel like calculating this)
regardless, people hit 1/8530 chances its not impossible that your "model" is just complete luck
that being said 1/8530 is pretty low, so I wouldn't doubt that your model may actually have some predictive power to it (perhaps picking games correctly 53% or 54% of the time which is pretty remarkable actually)
this is a rather interesting read that somewhat relates to this topic if any of you are bored
http://home.business.utah.edu/finmll/fin6350/foolsgold.pdfarticle is basically giving an example of how sometimes statistical results can mislead us, as is most likely the case with your model
This post was edited by sentries on Feb 23 2015 11:55am