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Volatility and hit rate are not in depth enough pieces of information now that operators are so good at segmenting players. PMB, on the other hand, allows us to put forward the games that suit the player’s ambition for that session. It works by looking at how much a player has in their wallet, what their goal is to walk away and then what game is best for them to achieve that session goal.


PMB


We have a particularly useful commercial innovation from our maths team called PMB (Probability of Money Back). It looks at each of our games and determines the chance a player has of doubling/trebling/breaking even (depending on their aims) in a certain number of spins.


Volatility and hit rate are not in depth enough pieces of information now that operators are so good at segmenting players. PMB, on the other hand, allows us to put forward the games that suit the player’s ambition for that session. It works by looking at how much a player has in their wallet, what their goal is to walk away and then what game is best for them to achieve that session goal.


Operators are definitely getting on board and using it, it just needs to be explained to them properly. Hit rates and volatility have been the key factors operators consider since I started in the industry but for me these metrics are simply not good enough for today’s discerning players.


DO PLAYERS CARE?


Players definitely care about maths. A player’s favourite game rarely is due to theme or


graphics, it’s due to the experience received while playing the game.


Tis ultimately comes down to the maths, so getting the best, most suitable maths in front of the right player means they’re likely to have a good experience. Art and graphics draw a player in but it’s the maths model that makes them stick around. Maths is often greatly understood by developers, but I also think there are very few all-round ‘great’ maths models. Rather, it’s about matching the player with the maths model that suits them.


We’re constantly looking for innovative things to do with maths because a lot of the more basic maths models have already had a perfect game built on them over the years (either by us or our competitors) so we’re hoping to tap into the players who haven’t yet played the game with the perfect maths model for them.


I also think it’s going to be really interesting to see how AI adds to maths in the future.


We have the ability to fine tune things to a certain degree with our maths team, but to have AI being able to spin out and test thousands of slightly different models and judge which ones suit the market we’re aiming for will be fascinating to watch.


NEWSWIRE / INTERACTIVE / MARKET DATA P77


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