Payout percentage in MG in the long run...

[Zoozie]

The results are in, and the payout are 92.55% in 250.000 spins.

You are using very different bet sizes. And in terms of payout only the results from the high bets will basically effect the total payout%

So to say you got 92.5% payout from 250.000 spins(which was a 1/100 event or so from my simulation) is actually not quite correct. So the effective number spins is much less.

[kimss]

You are using very different bet sizes. And in terms of payout only the results from the high bets will basically effect the total payout%

So to say you got 92.5% payout from 250.000 spins(which was a 1/100 event or so from my simulation) is actually not quite correct. So the effective number spins is much less.

There is a lesson to be learned from this dataset, and that is however poorly you play, however you loose or win, your overall payout will be 92-95% after passing ~15.000 spins. This I also tested in a much lower dataset with 2 other casinoes. That - should be mindboggling, as it would assume there are some "devine" powers at play here - even if the dataset are to low. From your understanding I might aswell end up with <80% or high >110%, but I dont - you get pinned in the 92-95 land.

As you know from earlier conversations Zoozie, playing one slot is not interesting (since I assume the system is broken) - looking at how the slots and payouts work together - _that_ is interesting.

[gerilege]

You are using very different bet sizes. And in terms of payout only the results from the high bets will basically effect the total payout%

So to say you got 92.5% payout from 250.000 spins(which was a 1/100 event or so from my simulation) is actually not quite correct. So the effective number spins is much less.

An idea might be to normalize data, so ignore the bet size, but considering the very different bet sizes that would be a non-trivial job.
Other idea might be to simply forget the individual win/loss amounts, just sum up the payout ratios and calculate the average. Another approach would be to calculate the median of the payout%s. I mean sort the payout percentages, and find the middle element in the sorted list.

I'm quite busy nowadays, but it would be nice if you could calculate the above described average and median of payout%s.