RTP is an acronym which stands for ‘Return To Player’ and each online slot featured at any of our recommended casinos much display this figure somewhere in the paytable. It’s generally around 96.00% for most slots and this means that over a very long period of time encompassing millions of spins, a player will receive 96.00% of their stake back (i.e. £0.96 for every £1.00 spent).
RTP is explained in more detail here but in this article we’re going to talk about the way RTP is treated at Videoslots Casino and how it can work to a players’ advantage.
Click on the ‘Game Payouts’ tab which is just below the Profile area on the top right of the home page and you’ll be presented with a screen listing the RTPs of all games hosted at Videoslots; now the clever bit is that players can alter the filters at the top of the screen to find out which game is currently paying out at the highest rate. That’s not all though because changing the filters can offer some insight into the RTPs over other metrics:
- All time or any month in the past year.
- Theoretical vs actual (i.e. what is should be vs what it actually is at the moment).
- Broken down by Live Casino games, table games, paylines, progressive jackpots and individual features.
- Most popular, least popular, highest and lowest payouts.
Not only does this give us an idea about which slots are currently paying out but it also offers a fascinating insight into how different games vary over time – this is especially interesting if you mostly play just one game and would like to see how the RTP changes over time.
For example we particularly like Net Entertainment’s Finn & The Swirly Spin and here’s how the RTP changed every month in 2019:
Clearly there were certain months (June, July, August and October) which were more favourable to players and others (September and November) which were less so – unfortunately there’s no way to know in advance……
For reference the theoretical RTP for Finn & The Swirly Spin is 96.60% and for this twelve month period it works out as 94.91%.
Anyway have a look for yourself and see of you can work out the best way to use this data to your advantage – good luck!