In this exclusive interview with Yogonet, Slotegrator Product Owner Maksym Shtun shares technical insights into the company’s new prediction market engine, including how it keeps payments simple, why it’s not just a sportsbook with unorthodox bets, and how Predictor is the perfect solution for the creator economy. 

What’s the story behind Predictor by Slotegrator? Why did the company move into the prediction market vertical?

Two reasons, and both felt obvious to us.

First, we wanted to build something genuinely fair and simple for players. Prediction markets are one of the few betting formats where the house doesn’t have a structural edge over the player. Prices reflect real probability, and players can trade their positions. From the player’s perspective, it’s a completely fair environment, where they’re evenly matched with each other.  

Second, no one can afford to miss this moment. The prediction market space is exploding — platforms like Polymarket are crossing nine-figure trading volumes, and that’s still on the Web3-native side, with all its friction. The iGaming world hasn’t had a clean, operator-ready answer to this yet. We decided to be that answer.

Payments are more complicated with prediction markets. Won’t this provide a barrier for operators who integrate Predictor?

True — a native P2P exchange does require escrow, fund holding, and complex peer-to-peer payouts. But that’s not how Predictor works.

We’ve fully decoupled the payment layer through the Wallet Adapter API. Operators connect their existing balance and payment processing — Predictor simply calls it bet placement and settlement. No new payment licensing, no escrow complexity. The prediction market mechanics sit on top; the payments stay exactly as the operator already has them. Players get the prediction market experience without the usual signup friction. 

Prediction markets rely on having countless events to bet on. How could operators manage to generate so much content?

That’s a real problem, but it’s a solvable one.

In the early stages, operators will need to show some creativity and a willingness to engage their audience — that’s part of building a new vertical. But as a B2B provider, we’re here to make that as easy as possible. We provide templates, ready-made event categories, tooling, and ongoing support so operators don’t need to build a large dedicated team for this.

And here’s a small spoiler — we’re actively working on integrating Oracles. Oracles will act as a bridge between Predictor and Web3, enabling automated, tamper-proof event resolution directly from on-chain and real-world data sources. That makes the whole product even more transparent and fair for players, and removes a significant chunk of manual event management from the operator’s side.

Bottom line: operators won’t need a large team. Between our B2B support layer and the AI tooling we’re building, most of the heavy lifting gets handled for them.

Not all verticals are equally beloved in every geo. In which regions are operators most likely to find an enthusiastic audience for prediction market products?

Players in Tier-1 markets already think in terms of probability and price. They’re familiar with spread betting, CFD trading, and exchange platforms. The concept of ‘price as probability’ isn’t something you have to explain — it’s already part of how they engage with financial and betting products. That baseline makes prediction markets feel intuitive rather than foreign, which is everything for early adoption.

Southeast Asia is a strong secondary market. There, you have high crypto adoption, mobile-first behaviour, and a young demographic that’s grown up with trading apps and DeFi interfaces. These players understand market mechanics and are comfortable with dynamic pricing. The overlap between crypto-native users and prediction market audiences is very high there.

Latin America is also an interesting growth market, with strong mobile engagement, a rapidly growing appetite for new betting formats, and an increasingly crypto-literate young audience. The conditions are building in the right direction — it’s a market worth entering early.

Markets where sports betting itself is still being established are a harder sell for now. Not because the product is wrong, but because prediction markets require a certain financial and trading literacy baseline to click. That’s a timing issue, not a structural one.

Why is Predictor a prediction market? What’s the difference between this product and a sportsbook?

In a sportsbook, the house is the counterparty. They set the odds, they bake in the overround — their margin — and they profit from player losses over time. 

In a prediction market, players trade against each other. The platform isn’t the counterparty — it’s a market maker running an LMSR algorithm. Prices move based on where the crowd puts its money, not where a bookie decides to draw the line. The operator earns a fee on trading volume, not a margin on outcomes. No positions, no liability.

What’s the difference from the bettor’s perspective? Why would they choose a prediction market over a sportsbook?

I’d actually reframe the question slightly — because operators don’t have to choose. Predictor isn’t a replacement for a sportsbook; it’s a complement to one.

Operators keep their existing sports audience completely intact. Predictor sits alongside it as an additional vertical — deployed where it makes sense for that operator’s players, not forced everywhere. Think of it as a powerful add-on rather than a migration.

That said, for players who do engage with it, the advantages are real: no overround means better prices than any bookmaker offers, positions are tradeable so you can exit before an event resolves, and the scope goes far beyond sport — bets are also available on politics, entertainment, finance, esports, and pretty much anything else. That breadth creates engagement and return visits that a pure sportsbook can’t generate on its own.

So the pitch to operators isn’t ‘replace your sportsbook.’ It’s ‘here’s a tool that grows your revenue and retention without touching what already works.’

To an outside observer, it might seem that a prediction market is just a sportsbook that offers unorthodox bets. How would you respond to that?

I would say that the ‘unorthodox bets’ framing usually disappears the moment someone actually engages with the product.

Here’s what it actually is: a highly effective engagement and retention tool. Markets layer on top of each other — bet on whether a team wins, and related markets appear around handicaps, tournament progression, and player performance. But the real opportunity goes well beyond sport.

Prediction markets are a natural fit for the creator economy. Streamers on Kick and Twitch already have massive audiences who want to bet on what happens next — which challenge gets completed, who wins the match, what gets said next. Players are already wired for this type of engagement. They do it informally in chat every day. Prediction markets give that behaviour a real structure and real stakes.

That audience is already primed. They’ve grown up placing informal predictions on streams, participating in polls, and calling outcomes in real time. Predictor formalises something they already do naturally — and monetises it for the operator.

Operators who work with streamers or live content creators have a genuinely differentiated product here — one that keeps players immersed in the content, not just watching it. That’s not an unorthodox bet generator; that’s a retention machine.

Prediction markets are clearly a departure from traditional betting verticals — if you can even call them “betting” at all, which many don’t. What’s the core demographic? Who’s trading on these platforms?

The core demographic is 21–35 year olds who have touched crypto, know what a DEX is, and maybe traded on Robinhood. They understand the concept of market price as probability. They want a trading experience — but without Web3 friction: no separate wallet setup, no gas fees, no KYC on an unfamiliar platform.

With Predictor, they get that experience through their existing operator account. Zero-friction entry. This is the audience that knows what Polymarket is but never bothered with the onboarding.

There’s also a second segment: the Betfair-type — exchange bettors who want more diverse markets than sports can offer. And increasingly, the Twitch and Kick generation — younger players who are already mentally engaged with prediction-style interaction through live content and just need the right product to formalise it.

What does the business model look like for operators? How do they actually make money with Predictor? 

The AMM charges a spread on every trade — a small percentage of each bet. The operator keeps the majority of that; Predictor takes a revenue share, either a percentage of GGR or a fixed SaaS fee, depending on the deal structure.

The key point: the operator carries zero liability. They’re not a counterparty — they’re running an exchange. Revenue is purely activity-based: more traders, more volume, more fee income. No positions, no outcome risk.

For operators with an existing player base, this is a cross-sell with near-zero CAC. The SaaS/rev-share model makes it low-risk to add — no upfront licensing fee, just a share of what the product generates.

There are already platforms like Polymarket and Kalshi out there. How does Predictor differentiate itself? 

Polymarket and Kalshi are consumer-facing platforms. They’re great products — but they’re built for a crypto-native, Web3-comfortable user who is willing to set up an external wallet, pass separate KYC, and navigate a trading interface from scratch. That’s a meaningful slice of the market, but it’s not the iGaming operator’s audience.

Predictor is built for a completely different layer. We’re a B2B infrastructure product designed to plug into an operator’s existing platform — their wallet, their auth, their player accounts. Players don’t leave the operator’s environment. They don’t need a new wallet. They don’t go through another onboarding. They just get a new vertical inside a product they already use and trust.

So it’s not really a comparison — Predictor is the answer for operators who want to offer prediction markets to their existing regulated player base. Those platforms are for crypto users who want to find markets on their own.

Original article: https://www.yogonet.com/international/news/2026/05/14/120504–34predictor-is-the-answer-for-operators-who-want-to-offer-prediction-markets-to-their-existing-regulated-player-base-34