Lets take a corner bet having 50% probability to hit within six attempts - equal a EC bet - that is the binomial probability. So say the corner hit once at attempt 2 and hit once more at attempt 5 then that would be the same thing as getting red twice in a row.

Now lets say you get a cycle with six attempts where the corner does not hit, then you get one black.

So when you chart and track the distribution for binomial probability positions equal a ec bet on the table. it might look like this:

2 5 X X X 2 X X X X 3 2 4 X 4 X X 2 X X X 6 X X 1 2 5 X X

Now to the selection process, one could place a bet for one corner with this example to repeat once.

For example corner hit at attempt 3 then during next cycle you place a bet at attempt 3 and if you want to cover more options you can bet wider spread, for example if you get a hit at attempt 1 & 3 then during next cycle you would bet at attempt 1 & 3, that is a pretty nice clustering solutions that can get deep into different ways to explore the selection process.

The other way is straight forward, you bet that there will be more hits within a cycle and get one side to hit several times, for example singles versus series of three methodology.

Cheers