Dragon Stone

How to play Dragon Stone

If free-to-play builds familiarity, Splash Tech’s jackpot engine is intended to provide a common thread across an operator’s offering, even when the games themselves come from dozens of competing studios.

“A jackpot engine is a rare product in that you can brand that engine and it will sit across all of your content,” Wilson says. “As an operator, you might have 50 different game suppliers. On every single game that you’re serving, you can show a branded jackpot.”

That is the gap Splash Tech solves: many operators already have strong game libraries, and some have proprietary content, but they lack a flexible jackpot layer that can sit across the full offering without requiring them to build and operate their own engine.

What is Dragon Stone?

However, LSR noted that traditional game outcomes are no longer reliable indicators of bookmaker profitability, largely due to the rapid growth of same-game parlays and player props.

In the Las Vegas-based Circa Survivor contest, which drew over 25,000 entries entering Week 1, more than 8,000 entries were eliminated in the opening slate—most knocked out when the 8.5-point favorite Chargers fell to the Cardinals. That upset served as a proxy for the wider market, ruining countess parlay tickets across major sportsbooks.

Looking ahead to Week 2, bettors continue to chase high-scoring games. At BetMGM, Overs represent three of the five most-bet game totals by ticket count: Vikings-Bears (Over 48), Saints-Ravens (Over 46), and Panthers-Falcons (Over 44).

How to play Dragon Stone

That study found that AI adoption across the gambling industry remained uneven. It highlighted customer support, data analytics, fraud detection, and responsible gaming as areas where the technology was already being heavily used.

However, it also found that formal governance of AI was struggling to keep pace with its growing usage. Only a minority of organizations surveyed reported having a formal AI strategy or roadmap. Many said one remained in development.

The MGA also found that only a small number of respondents had fully established AI risk assessment processes or incident-response plans.