It is interesting how much the distributions change over just 7 draws... 143 of the 150 draws in the model are the same.

The plan is to test the best starting point. I see what the Tuesday night data leading to a Wednesday pick looks like, so the new strategy is to skip the start day weekly...

This week the pick was made on a Tuesday night for Wednesday play. Next week I will wait until Wednesday night to make a guess at a Thursday play... up until I am using Monday night results to make a pick for Tuesday.

So that means this system will get at least 6 more weeks of a live trial.

With that I can compute projected costs...

Already spent $35, will add 6 more weeks at $14 for a total play budget of $119. It only would have been $112, but I played the first week at 1.00 straight and 0.50 box.

So, to make it all back, any 50 cent straight hit will return the play budget along with $131 profit. Plus the box hit at $40 or $80 when a combo is picked with a double.

The system goes by each column, so doubles and even triples are possible. Therefore 3 50 cent box hits @$40 or 2 50 cent box hits @$80 will also return the expense.

This week still has draws through Tuesday evening.

Although any hit, from $40 to $290 will trigger a first shot at the pick5. Also, a straight hit will allow a first shot at the PA Cash4Life.

Hopefully each week will allow for refinement of the selection process.

The plan is also the budgeting process. $14 per week is what I was spending on the Match 6. Sustainable entertainment value. I dropped all play when I started this development process months ago. If there is a hit, I can roll out one or both of the other games for one shot, then go back to the pick 3 only budget.

And, if the next 6 weeks go by winless, it will be an indicator to perhaps cease live play and come up with a better phase 2 selection process. Worst case scenario is that I spent $119 over 8 weeks for some false hope and entertainment.

What was learned so far in the implementation of statistics in Python and the input and output of data was definitely worth the time investment!