The pick N games is simple, there are 10 possible digits that can be selected in each position, each having an equal chance, therefore the expectancy is that each number has a 10% chance, and therefore a 10% expectancy over any varying amount of samples. Having looked at this through several runs of the hot/cold script, this mostly holds true. While the largest group of digits between 0 and 9 hold around 10%, the hots exceed 12% and the colds are under 8%.

So what if I were to use the program for a run at the PA Match 6? That is a classic 6/49 game.

The expectancy changes!

In a 6/49 game in sorted order, each column has 44 possible numbers, and 5 that cannot appear in that column when sorted. With 44 possible numbers, the expectancy (expressed as a percent) would be (1÷44)×100 = 2.27%

If I run the program as written, it would classify every number as cold! Also, if a number were picked 0 times in the selected window, the program would crash with a "division by zero" error.

All I need to do to make the same program safe to run is a simple if statement that will only process when the count of the digit is greater than 0, otherwise output "0%". The other step would be to auto range the expectancy and calculate the hot & cold thresholds at run time, depending on the range of data in each column of the history file. This will mean more work, but ultimately more flexibility as the expectancy for the 5 white balls and the bonus ball in both MM and PB are different.

One program to do it all...