Chicken Gun

How to play Chicken Gun

The more telling point for slots readers isn’t the game itself. It’s what the game represents: the fourth Halloween-branded entry in a single series, which shows just how aggressively Pragmatic Play iterates on its most recognizable slot IP.

Rather than building a new title from the ground up, the release uses Big Bass Splash 1000 as its base. The franchise’s signature Money symbol collection mechanic stays intact while a seasonal skin gets swapped in.

The headline mechanical difference is a shift in risk profile. This variant runs on a 5×3 grid with 10 paylines at an RTP of 96.50%, and the volatility has been eased to medium against the high-variance base game. That softens the swings while keeping the same top-end potential.

About Chicken Gun

“Obviously, in the gaming industry we don’t have a price tag on our product where you can just change the RTP (return-to-player) and your problem is solved, it doesn’t work like that. Especially not if you take responsible gaming seriously.”

Speaking of which, in Holland the casinos must have two databases, one for online players, one for land-based, and keep them very separate – except for when it comes to responsible gambling (RG). A casino can’t use its online offering to promote the land-based side to players, and vice-versa – but the data can all be used together to make sure customers are safe from harm whenever they play with the same operator, online or otherwise.

Being a state-owned monopoly is beneficial for RG purposes. You don’t have an employer or shareholders expecting a positive quarterly earnings report four times a year, and as long as the business is self-supporting it can continue to make the best choices for player health and relationships. As Petra defines it: “It’s about a healthy long-term relationship.”

How to play Chicken Gun

Within this shared model, there was a clear preference for personalised interventions over generic ones. 

Tailored, behaviour-triggered messages were seen as more effective than generic warnings, but many participants simultaneously expressed mistrust towards operators collecting behavioural data.

Finally, the study found that these needs and preferences varied widely by product type.