Fixed-Odds vs P2P: Key Architecture Choices Behind Prediction Market Platforms

Fixed-Odds vs P2P: Key Architecture Choices Behind Prediction Market Platforms

In this article, Turbo Stars explores how operators entering prediction markets in 2026 must choose between fixed-odds and peer-to-peer (P2P) architectures, and why this foundational decision will influence everything from liquidity and profit margins to regulatory compliance and long-term scalability.

Operators moving into prediction markets in 2026 are confronted with a core question many are not fully prepared for: which system architecture should they build on? The viability of the vertical itself is no longer in question — the focus has shifted to execution.

Two competing frameworks exist for the same market opportunity, and they are fundamentally different. This decision impacts risk exposure, margin structure, operational requirements, and the type of user base the platform can effectively serve.

Turbo Stars frames this as a strategic business choice influenced by operator scale, traffic quality, regulatory environment, internal capabilities, and long-term objectives. The key factors below help determine the direction.

Fixed-odds

The fixed-odds model mirrors the traditional sportsbook structure. The operator defines the price and assumes the opposing side of each wager. Users place bets at predetermined odds, while the operator carries the risk, embedding its margin — typically between five and ten percent in a balanced market — directly into the pricing.

From an infrastructure standpoint, this model is well understood by sportsbook operators. Core systems such as pricing engines, risk exposure controls, settlement processes, and liability tracking are extensions of existing trading frameworks.

Regulatory treatment is also straightforward, as the business operates fully within the gambling sector. Licensing is issued by gambling authorities, accompanied by requirements such as responsible gambling measures, KYC and AML compliance, advertising limitations, and tax frameworks aligned with betting revenue models.

In March 2026, Gibraltar issued its first dedicated license for a prediction market operator, granted to Predict Street Ltd under the Gambling Act 2005 as a betting intermediary. This reflects a broader trend: regulators treating prediction markets as part of established gambling frameworks.

P2P

The peer-to-peer model functions more like a trading exchange. Users take opposing positions on outcomes, the platform matches orders, and revenue is generated through transaction fees. The operator does not assume market risk, and pricing is determined dynamically by participants buying and selling contracts based on shifting probabilities.

This structure underpins platforms such as Kalshi and Polymarket. Success depends heavily on liquidity — specifically, the number of active participants on both sides of a market to ensure tight spreads and continuous price discovery.

Regulatory classification varies significantly by jurisdiction. In the United States, Kalshi operates under the Commodity Futures Trading Commission as a federally regulated event-contract exchange, positioning it as financial market infrastructure rather than gambling. In the United Kingdom, however, similar systems are regulated by the Gambling Commission and treated as betting intermediaries.

Choosing between them

Each model is viable within its own operational context. The optimal choice depends less on preference and more on the operator’s existing assets and readiness before launch.

Fixed-odds is best suited for operators with sportsbook experience. It relies on familiar infrastructure, a clearly defined regulatory path, and performs reliably regardless of traffic scale. However, it requires strong trading capabilities to manage pricing, exposure, and market movement. Without this expertise, margin erosion from unexpected outcomes becomes a significant risk.

P2P, by contrast, is ideal for operators with an established and active user base — and the ability to continuously grow it. Liquidity is essential from day one, as markets depend on sufficient participation on both sides to function effectively. Platforms like Kalshi and Polymarket invested heavily over time in audience development through regulatory positioning, open-market phases, and high-profile event engagement. Without similar foundations, new entrants risk illiquid markets, wide spreads, and poor price discovery.

What does it mean?

For new operators entering the prediction market space in 2026 without a proven hybrid betting strategy, fixed-odds represents the more practical starting point — though not a permanent limitation.

Hybrid approaches allow operators to run fixed-odds markets at scale while selectively introducing P2P markets where liquidity is sufficient. This dual structure enables gradual adoption, helping users become familiar with exchange-style trading while maintaining stable core operations and preparing for potential long-term transition.

Within both frameworks, product experience can still be optimized across different user segments using available platform tools.

Fixed-Odds vs P2P: Key Architecture Choices Behind Prediction Market Platforms

What actually drives the answer

The architecture decision is not a one-time technical choice — it forms the foundation of the entire business model, shaping scalability, retention, and regulatory exposure over the lifecycle of the product.

While the mechanics appear straightforward, the business implications are complex and long-lasting.

Turbo Stars positions this as a strategic business decision rather than an engineering one — guided by operator resources, market positioning, and the long-term evolution of the vertical. Ultimately, the architecture question is the first and most critical decision before any development begins.

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