Play-Money vs Real-Money Prediction Markets: What's the Difference?
Play-money and real-money prediction markets look similar but behave differently. Here is how they compare on accuracy, risk, learning value and the law.
Outcomer Team · Aug 7, 2026
If you have started reading about prediction markets, you have probably run into two very different kinds of platform. On one side sit real-money markets like Polymarket, where people trade with actual funds. On the other sit play-money markets like Manifold, where the currency is a points system you can never cash out. Both let you buy and sell contracts tied to real-world events, and both display prices that look like probabilities. So what actually separates them, and which one should you spend your time on?
This piece walks through the practical differences: how each model works, what it does to accuracy, how the risks differ, and what European users in particular should keep in mind.
How each model works
A real-money prediction market lets you deposit funds and trade contracts that settle in cash. Polymarket is the best-known example. It runs on the Polygon blockchain, settles trades in a dollar-pegged stablecoin, and pays winning positions out in real money. When a contract on "Will event X happen?" trades at 63 cents, you are risking real capital to buy a claim that pays out one dollar if the answer turns out to be yes.
A play-money market works the same way mechanically, but the stakes are virtual. Manifold is the clearest case. Users trade with a play currency called Mana that has no cash-out value. Notably, Manifold briefly ran a real-money "sweepcash" system from September 2024, then sunset it on 28 March 2025, and now operates as a play-money platform again. The prices still move, the leaderboards still matter to the people on them, but no one is depositing or withdrawing cash.
If the idea of trading contracts is new to you, our explainer on what a prediction market is covers the basics before you compare models.
Does play money hurt accuracy?
The obvious worry is that people will not forecast carefully if there is no money at stake. In practice, the evidence is more nuanced. Play-money markets can still produce sharp forecasts, because participants compete for status, reputation and a place near the top of a leaderboard, and because a well-designed scoring system rewards being right over being loud.
That said, real money does add discipline. When a wrong position costs you actual funds, you tend to size your bets more honestly and update faster when new information arrives. Serious capital also attracts arbitrageurs who correct mispricing quickly. The reasonable summary is that both models can be accurate, real-money markets tend to be tighter on high-liquidity questions, and play-money markets can be surprisingly good on niche topics that big money ignores.
Risk, cost and the learning curve
This is where the two models diverge most. On a real-money market, every mistake has a price, and beginners routinely lose money learning things that a few practice rounds would have taught them for free: how prices move, how fees eat into small trades, how to avoid illiquid contracts with wide spreads.
Play money removes that cost entirely. You can test a strategy, get every call wrong for a week, and lose nothing but pride. For most people the smart path is to learn the mechanics on virtual money first, build a track record you can actually measure, and only then decide whether real-money trading is worth it. Our guide to trading with virtual money goes deeper on how to use practice trading well.
What European users should know
There is also a legal and practical layer that matters a lot in Europe. Real-money platforms often sit in a grey area or are simply unavailable, and many of the biggest ones are not built for EU users. Polymarket, for instance, is not straightforwardly accessible to everyone in Europe, which we cover in can Europeans use Polymarket. Play-money platforms sidestep most of that, because there is no deposit, no withdrawal and no wagering of real funds.
For a wider look at the landscape and where different platforms fit, see our roundup of the best prediction-market platforms in 2026.
So which should you use?
If your goal is to learn how prediction markets work, sharpen your forecasting, and build a measurable track record without regulatory headaches or the risk of real losses, a play-money platform is the sensible starting point. If you are experienced, comfortable with the rules that apply to you, and specifically want financial exposure to an outcome, a real-money market is what you are after. Many people use both: play money to practise and experiment, real money only for the handful of questions where they have genuine conviction.
Outcomer is built around exactly that first step. You can trade real-world questions with virtual money, see how your calls hold up over time, and learn the mechanics with nothing at stake but your own scorecard. Start practising today and find out how good your forecasts really are.