Prediction Market Software for Operators
Prediction market software is the platform technology an operator uses to run markets on the outcome of future events. Players stake on a defined outcome at a price the operator sets. In the OHS Gaming model the operator is the counterparty on every position, controls pricing and margin, and settles sports and financial markets from third-party data feeds. Built for Operators. Owned by You.
What Is Prediction Market Software?
Prediction market software gives an operator the tools to create a market on a future event, publish a price for each possible outcome, accept player positions on those outcomes, manage the resulting exposure, and settle the market when the result is known.
The category has become associated in most buyers' minds with one specific architecture: a venue where the platform itself takes no position and prices come from whatever users happen to be doing at that moment. That is one way to build the product. It is not the only way, and for a commercial operator it is usually the harder one.
OHS Gaming supplies the other architecture. Our prediction market software runs a house book. The operator prices the market, the operator is on the other side of every position, and the operator keeps the margin built into the price. If you have run a sportsbook, the risk model will be immediately familiar. What changes is the surface: instead of a fixture list and a bet slip, the player sees a question with a clear set of outcomes and a price against each one.
This matters commercially for one reason above all others, and it is covered in detail further down this page. A house book is priced and live on day one. It does not need a crowd before it works.
OHS Gaming is a technology provider. We build and license the software. We do not operate gambling brands, and we are not a party to the markets our clients run.
How Does an Operator-Run Prediction Market Work?
An operator-run prediction market has five stages. The operator controls four of them, and the fifth is deliberately handed to an independent source.
- 1
The operator defines the market
Every market starts as a question with a fixed, unambiguous set of outcomes and a defined close time. The question has to be precise enough that a data feed can resolve it without argument, which is a discipline that shapes what should and should not be listed.
- 2
The operator sets the price
This is the core of the model. The operator publishes a price against each outcome, and that price carries the operator's margin. Pricing can be informed by feed data, by internal models, or by a manual view, but the decision sits with the operator. Prices can be moved at any point before close, in response to new information or to the operator's own exposure.
Because the price is the operator's, the margin is the operator's. There is no dependence on user activity to produce a price, and no scenario where a market is live but unpriced.
- 3
The player takes a position
The player selects an outcome and stakes on it at the published price. The position is between the player and the operator. Nothing else needs to happen for that position to exist, which is why a market functions with one active player as readily as with ten thousand.
- 4
The operator manages exposure and margin
Because the operator holds the other side, the operator carries the position. That is a responsibility and it is also the source of the revenue. The operational tasks are the ones a sportsbook risk team already performs daily: watch exposure per market and per outcome, move prices to attract or discourage stakes on a given side, apply stake limits, and cap liability on individual markets.
Operators that already run a book with OHS Gaming will find this sits inside the same back office, the same wallet and the same player account as the rest of their product. See our white label iGaming platform for how the wider ecosystem fits together.
- 5
Settlement from a third-party data feed
Markets are resolved from third-party data feeds covering sports and financial events. The resolution source is independent of the operator and independent of OHS Gaming, which is the point: neither the counterparty to the position nor the software vendor decides the result.
This is why the settlement scope on this page is stated plainly rather than broadly. Markets that a data feed can resolve cleanly are the markets this product is designed for. Where no feed exists to determine an outcome, the market is outside the scope described here, and any operator asking about that category should raise it with our team directly rather than assume it is covered.
Market Types Supported
Two market structures are supported. Between them they cover the large majority of what an operator would want to list against a sports or financial data feed.
Binary markets (yes or no)
A binary market has exactly two outcomes. The player takes a position on one of them at the operator's price.
Examples in scope:
- Will the home side win this fixture, yes or no
- Will total points in this match exceed a stated number, yes or no
- Will a named index close above a stated level on a stated date, yes or no
- Will a named asset be above a stated price at a stated time, yes or no
Binary markets are the simplest to price, the simplest to explain to a player, and the simplest to settle, because the feed returns one of two states.
Multi-outcome (categorical) markets
A multi-outcome market presents several mutually exclusive outcomes and the player picks one. The operator prices each outcome separately, and the margin is distributed across the full set.
Examples in scope:
- Which of these teams wins the competition
- Which player finishes top scorer in a tournament
- Which of several stated ranges a named index closes within
- Which quarter sees the highest scoring in a given match
Multi-outcome markets are where an operator can build genuine product differentiation, because the framing of the outcome set is an editorial decision, not a feed constraint. Two operators pulling the same feed can list very different markets on it.
Both market types run on the same pricing, position and settlement machinery. An operator does not choose one or the other at the platform level. Operators broadening coverage across verticals often pair these markets with our esports betting software.
Key Features
| Feature | What it does for the operator |
|---|---|
| Operator-set pricing | You publish and adjust the price on every outcome. Prices are not derived from user activity, so no market is ever live without one. |
| Operator-as-counterparty model | You are on the other side of every position. The margin priced into the market is yours, not a commission on somebody else's activity. |
| Binary markets | Two-outcome yes or no markets, the fastest structure to list, price and settle. |
| Multi-outcome markets | Categorical markets with several mutually exclusive outcomes, priced individually. |
| Exposure and liability control | Because you hold the position, exposure per market and per outcome is yours to see, to price against and to cap. |
| Margin control | Margin is set by you at the point of pricing and can be tuned by market, by category or by event. |
| Third-party feed settlement | Sports and financial markets resolve from independent third-party data feeds. The operator does not settle its own markets by hand. |
| White label branding | The product ships under your brand, your domain and your interface. |
| Unified platform delivery | Runs alongside sportsbook, casino and other verticals in one platform, one wallet and one back office. |
| Fiat and crypto cashier | Supports traditional payment rails and crypto (BTC, ETH, USDT, LTC), or a hybrid of both. |
| Multi-currency support | Operate across multiple currencies from a single platform instance. |
| No ongoing revenue share | Buy or rent outright. OHS Gaming does not take a percentage of your GGR. |
Supporting proof points across the OHS Gaming platform: 500+ gaming solutions delivered, 36+ countries served, 40+ third-party integrations, 99.999% platform uptime.
Why an Operator-Run Book Beats the Exchange Model at Launch
This is the section most buyers arrive needing, so it is worth being direct.
The exchange model has one structural problem that lands entirely on the operator, and it lands hardest on day one. It is called cold start.
In the exchange model, the operator does not price the market. Prices and available volume are a function of how many users are active on the venue at that moment. That works beautifully at scale. It does not work at zero. A new brand launches with no user base, which means a market can be live and empty at the same time: no price, no volume, nothing for a player to do. The player opens the product, finds an empty market, and leaves. And because the product only becomes useful once it is busy, the operator has to acquire a critical mass of users before the product delivers the experience those users were acquired for. That is an expensive circle to break, and marketing spend during the empty phase is spent on a product that is not yet working.
A house-run book does not have this problem, because there is nothing to bootstrap. The operator prices the market, so the market is priced. The operator is the counterparty, so a position can be taken. On the first day, with the first player, the product behaves exactly as it will on the thousandth day with the ten-thousandth player. Liquidity is not something you wait for. It is something you supply, from the moment you list the market.
That is a real advantage over the architecture most buyers have in mind, and it is worth stating precisely rather than overselling. The exchange model is not a bad model. It is a bad model to launch with.
Architecture comparison
| Operator-run book (OHS Gaming) | Exchange model | |
|---|---|---|
| Who sets the price | The operator | Not the operator. Price depends on user activity. |
| Who is the counterparty | The operator | Not the operator |
| Day one, zero users | Markets are priced and fully playable | Markets can be live but empty and unpriced |
| Minimum viable user base | None. The product works with one player. | High. The product does not function below a threshold of activity. |
| Where operator revenue comes from | Margin priced into the market | Commission on user activity |
| Margin control | Set by the operator, adjustable per market | Not applicable. No pricing control. |
| Risk position held | Yes. The operator carries exposure. | No. The operator carries no position. |
| Operational skill set | Sportsbook risk and pricing discipline | Venue and volume growth discipline |
| Main launch risk | Mispricing and exposure management | Empty markets and a product that has not started working |
Read the last three rows together, because they set out the honest balance between the two models. The venue operator carries no risk on positions and therefore no exposure. The house operator carries both, and in return gets a product that works on day one and a margin that is set rather than earned on volume. For an operator launching a new vertical, particularly one with an existing sportsbook team, that balance usually falls the right way.
Benefits for Operators
A new vertical without a new platform.
Prediction markets ship inside the same OHS Gaming platform as your sportsbook and casino, sharing one wallet, one player account, one cashier and one back office. Nothing about payments, KYC or reconciliation gets rebuilt.
A familiar risk discipline.
The operational model is sportsbook risk management applied to a different market structure. Existing teams and existing habits transfer, which shortens the internal learning curve considerably. Operators without an in-house book can start from our turnkey sports betting solution and add prediction markets on the same stack.
Product differentiation you control.
Because you decide what to list and how to frame the outcome set, two operators on the same feed can build materially different products. Market selection becomes a competitive asset instead of a commodity.
Margin you set.
Revenue is priced in rather than collected as a fee on activity, so unit economics are visible before a single position is taken.
A product that works on launch day.
Covered above, and it is the single most important operational benefit on this list.
Full brand ownership.
White label delivery under your brand, your domain and your interface, consistent with how OHS Gaming delivers its white label sports betting software.
Commercial model: no ongoing revenue share
Most prediction markets platform providers charge a share of gross gaming revenue, typically in the 10% to 30% range. That model has an obvious property: the better your product performs, the more it costs you, permanently.
OHS Gaming does not work that way. You buy the platform outright, rent it for a flat fee, or take a rent-to-own path that credits rental payments toward ownership. In all three cases the ongoing revenue share is zero.
Illustrative total cost of ownership, three years
The figures below are a worked illustration of the two commercial structures, not a quotation. OHS Gaming pricing is scoped per project.
| GGR share model (10-30%) | OHS Gaming (rent) | OHS Gaming (buy) | |
|---|---|---|---|
| Upfront | Low or none | Setup fee | One-time platform fee |
| Year 1 cost at $1m GGR | $100,000 to $300,000 | Flat licence fee | Nil after purchase |
| Year 2 cost at $2m GGR | $200,000 to $600,000 | Flat licence fee (unchanged) | Nil after purchase |
| Year 3 cost at $4m GGR | $400,000 to $1,200,000 | Flat licence fee (unchanged) | Nil after purchase |
| Cost behaviour as you grow | Rises with every pound of revenue | Flat | Flat, and already paid |
| Asset at end of term | None. You own nothing. | Option to convert to ownership | You own the platform |
Industry-benchmark entry points across OHS Gaming's commercial models start from around $500 per month on the rental tier and from around $25,000 on the buy tier, with enterprise ecosystems from around $75,000. Rent-to-own typically runs at 20% to 40% upfront across a 12 to 36 month term. Final scope and pricing for a prediction markets deployment are quoted per project. Request a Proposal for a costed figure against your specification.
The point of the table is not the absolute numbers, which vary by operator. It is the shape of the curve. Under a revenue share, your best year is your most expensive year, every year, forever. Under a flat licence, growth is yours.
Frequently Asked Questions
Launch a Prediction Markets Vertical With OHS Gaming
You do not need a crowd to launch a prediction market. You need a platform that prices its own markets, a risk function you already have, and a commercial model that does not tax your growth.
OHS Gaming supplies all three: binary and multi-outcome markets, a house-run book with operator-set pricing and operator-held margin, settlement from third-party data feeds, and no ongoing revenue share on any engagement model.
Built for Operators. Owned by You.
Book a Demo · Request a Proposal · Talk to Our Experts
_Deployment is subject to the licensing, regulatory and platform requirements applicable in the target jurisdiction._
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