Prediction markets vs betting exchanges: what's actually different?

If you have used a betting exchange, a prediction market will feel oddly familiar. On both, you are trading against other people rather than against a bookmaker, the price moves in real time, and you can get out of a position before the event is over. So it is fair to ask: is a prediction market just a betting exchange with a different name? The short answer is no — the mechanics overlap, but the purpose, the scope and the way you are meant to think about them are different. (If the whole idea is new, start with what a prediction market is.)

The mechanics they share

A betting exchange such as Betfair does not set odds itself. Instead it matches people who want to back an outcome with people who want to lay it, and the odds you see are simply the best prices other users are offering. That is a peer-to-peer order book, and it is very close to how a prediction market works.

On a prediction market you buy Yes or No shares in a question, and the price of a Yes share — say 63¢ — is the crowd's estimate that the answer will be yes, roughly 63%. Buying a No share is the same shape as laying on an exchange: you profit if the thing does not happen. In both systems the price is a live, crowd-sourced probability rather than a number dictated from above. If reading a price as a probability is new to you, reading the odds walks through it.

Where they diverge: scope and purpose

The biggest difference is what each one is for.

A betting exchange is a gambling product, licensed as such, and built overwhelmingly around sport — football, horse racing, tennis. The point is the wager and the entertainment around it. Some exchanges list a handful of novelty or political markets, but that is a sideline.

A prediction market is built around forecasting real-world events of many kinds: elections, interest-rate decisions, inflation prints, company milestones, weather, technology launches. The resulting price is treated as information — a probability that journalists, analysts and researchers actually cite. The same tool can also be used to hedge a real exposure, which is not really what a sports exchange is designed for. We drew the closely related line between prediction markets and sports betting in more detail.

Costs and how each makes money

The business models differ in a way worth understanding before you compare returns.

A betting exchange typically charges commission on your net winnings. On Betfair, for example, the standard market base rate is 5%, taken only from your profit in a market — if you finish a market down, you pay nothing on it, and heavily traded football markets can carry a lower rate. There is no cost baked into the odds themselves; the exchange earns from that commission.

Prediction markets vary. Costs can show up as a trading fee, a settlement fee, or a spread, and the details depend on the platform. The principle to carry across from either world is the same: check what a win actually nets you after costs, and check the spread and the volume before you assume a quoted price is meaningful. A tight, busy market is far more trustworthy than a wide, thin one, whatever it is called.

Legal and tax framing

Because a betting exchange is regulated as gambling, access depends on holding the right national licence, and winnings are treated under the gambling rules of your country. Prediction markets sit in a more varied and evolving legal space — treated as gambling in some places, as financial or event contracts in others, and restricted in a few. The rules are genuinely different across Europe, so neither category should be assumed to work the same way across borders, and none of this is tax or legal advice.

Which mindset should you bring?

This is the part that matters most. Walking into a prediction market with a pure betting mindset — chasing a thrill, backing your team because you want them to win — tends to lose money, because the price already reflects what the crowd knows. The mindset that travels well is the forecaster's: treat the price as the current probability, look for cases where you genuinely think the crowd is wrong, size your position modestly, and know when not to trade at all.

That is exactly the habit a virtual-money environment is built to teach. When the balance is not real, you can practise reading prices, taking and closing positions, and watching how markets resolve — without an operational mistake costing you anything. The forecasting skill you build transfers directly to real markets later. More on that in trading with virtual money.

If you are coming from an exchange and are curious how forecasting feels different from betting, you can try the same mechanics risk-free on Outcomer with virtual money first, and only decide later whether real stakes are for you.