henrikdamdk Posted June 3, 2015 Posted June 3, 2015 Hey there, Since I am very interested in the progressive jackpots and how they relate to the RTP (return to player) I tried doing some calculations to find out if any progressive slots would actually go above 100% RTP. I found one now! The Monty Python's Spamalot slot Here is some of my data: Average payout: 93,99% Jackpot contribution of each spin: 3,00% Initial jackpot: $500.000 Average jackpot: $1.078.219 Current jackpot: $2.837.575 Current payout: 103,12% What do you guys think about these numbers? Would you consider playing a progressive slot machine based on numbers like these? Looking forward to getting some feedback Geraldbar 1 Quote
NextTimeWin Posted June 3, 2015 Posted June 3, 2015 Well, i think this is valid numbers. But to achieve this payout 103.12% - you need to hit jackpot. Otherwise you will have 93.99% i believe. And since chances to hit jackpot is quite very low - i am will not play this game because currently payout 103.12%. Quote
henrikdamdk Posted June 4, 2015 Author Posted June 4, 2015 Well, i think this is valid numbers. But to achieve this payout 103.12% - you need to hit jackpot. Otherwise you will have 93.99% i believe. And since chances to hit jackpot is quite very low - i am will not play this game because currently payout 103.12%. I partly agree with you You are right that the jackpot needs to be hit to achieve this high payout. But if you, like me, like playing a lot of slots then using some numbers like this should increase the chances in the long run. I found this pretty nice description on Wikipedia: http://en.wikipedia.org/wiki/Progressive_jackpot#Break-even_point How should the numbers look for you to follow them? I mean, you might prefer a higher average payout and then also a high jackpot on top of that? Quote
NextTimeWin Posted June 4, 2015 Posted June 4, 2015 For me, it is much more better when i am just playing slot game without jackpot, but with good RTP. I do not believe that i will win jackpot, because chances is really too small. Quote
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