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What advancements are being made to enhance the realism of virtual betting simulations?


Visual quality is the big one. As real-time rendering tech improves, so does the way virtual sports look and move. Our games are rendered live on our servers, so gains in animation and fidelity come through straight away. Better lighting and sharper textures mean we’re getting closer to something that feels like live sport.


How are the sophistication of features such as live commentary, statistical details, and customisation options changing?


What we’re always trying to do is make the experience feel more like watching real sport. Improvements to commentary are a good example. It now reacts to what’s happening and adds context instead of just playing repetitively in the background. Stats are more thoughtfully handled too. Players want relevant info but not a screen full of numbers so we’re working on ways to surface the right stuff at the right time.


In what ways does AI contribute to creating dynamic 130


sequences and unpredictable outcomes?


We’ve made a deliberate choice not to use AI in how our games play out. Outcomes need to feel natural. Like something that could happen in a real match. When things start to feel off, you can lose trust quickly. Where AI could help is in things like crowd behaviour, background textures and lighting. All the kinds of details that make the experience feel richer, without interfering with the match logic itself.


What are the benefits of AI-driven algorithms in tailoring gameplay and betting options to individual user preferences?


Tere’s value when it’s used well. Like when Spotify builds a playlist and you don’t skip a single track. Or when your news feed shows stories you care about. In gaming, it could mean surfacing the sports you tend to bet on or hiding markets you never touch. But it can go too far. If you’re only ever shown what you already like, you stop discovering. Tat perfect playlist also means you never hear anything new, and the news feed becomes an echo chamber. We want personalisation that’s helpful but also leaves room for surprise and exploration.


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