The pick 3 has the same roughly 1/4 of entire draw history classified as NNN. Slightly higher percentage for the evening ball drawn game.

Pick 5 has around 2/5 of all draws classified as NNNNN, and there are slightly more on the evening ball drawn game. Here is the kicker, in over 5,000 draws for each, a HHHHH draw happened only once and there are ZERO CCCCC draws in BOTH mid and eve. There are even a few 7 draw windows in both games where there are 2 NNNNN draws!

The next step is to get an idea of which percentages showed up most frequently, and this will be done on both the entire history, and the filtered copies that are made up of only NNNs or NNNNNs.

I may need to modify the back test script to include the standard deviation and quartiles for each row. Since they are the starting indicator candidates, they should be present in the data set.

I may also consider generating heat maps for the percentages of all neutrals.

It is looking difficult to gauge any set rules at this time, the next set of tests will hopefully shed some light. What I am hoping to see is a way to further reduce the valid play set. This seems important with the pick 5, since the percentages on the NNNNNs have more swings than on the pick 3.

If it does manage to yield anything, it will need to be documented, as will subsequent future live tests. This time when failure occurs, I am going to learn something from it!

On the plus side, high/low, even/odd, sums and replacement techniques like mirrors and vtracks have all been ignored, and the entire system is based on pure frequency... but not dependent on the highs and lows.

Trying to reverse solve the NNN matches will hopefully yield a step or set of steps that can be applied universally for each column to give the best possible guess for each game. The classifiers are chosen with a hard statistical threshold, and the model looks at the frequencies that happen rather than the actual digits... I am simply trying to choose the most likely frequency within that 150 draw training set and play the corresponding number in each column.