I've got a question I'm hoping somebody can help me with.
Say I have an opportunity to follow the picks of two handicappers, both of whom I am 100% certain achieve a win rate of 60% ATS.
Handicapper A has gone 6 wins and 14 losses in his last 20 picks
Handicapper B has gone 18 wins and 2 losses in his last 20 picks
Lastly assume that I can only make 20 total wagers. Who should I follow?
my thoughts... I would assume that Handicapper A would be the best choice, simply because his results should regress towards the mean. However, can mean regression really ever be tracked? Or am I falling into the domain of the Gambler's fallacy?
I know the sample size is small, but considering the 2 sets of results, and given the win rate of the handicappers, the particular results have less than a 1% chance of occuring. Would this not then make the results statistically significant?
Say I have an opportunity to follow the picks of two handicappers, both of whom I am 100% certain achieve a win rate of 60% ATS.
Handicapper A has gone 6 wins and 14 losses in his last 20 picks
Handicapper B has gone 18 wins and 2 losses in his last 20 picks
Lastly assume that I can only make 20 total wagers. Who should I follow?

I know the sample size is small, but considering the 2 sets of results, and given the win rate of the handicappers, the particular results have less than a 1% chance of occuring. Would this not then make the results statistically significant?