Are Prediction Markets Accurate? What the Data Shows
Prediction markets often beat polls and pundits. Here's the accuracy data, why money sharpens forecasts, and where markets still get it wrong.
Ask a pollster who wins an election and you get a margin of error. Ask a prediction market and you get a price — and that price is often closer to the truth. So how accurate are prediction markets, really?
What “accurate” means for a market
A prediction market turns a yes/no question into two tradeable tokens whose prices always sum to $1.00. A “Yes” trading at $0.65 means the market assigns a 65% probability to that outcome. Accuracy isn’t whether the market called every event perfectly — single events are random. It’s whether, across many markets priced at 65%, the outcome happens about 65% of the time. That’s calibration, and it’s the right way to judge a forecaster.
The data
On Polymarket — the deepest prediction-market order book, which Pots Market routes into — accuracy sharpens as resolution approaches:
| Time before resolution | Accuracy |
|---|---|
| 1 month | ~90.4% |
| 1 week | ~94% |
| 1 day | ~95.8% |
| 4 hours | ~96.7% |
The pattern is the signal: as new information arrives, traders update prices, and the market converges toward the outcome. By the final hours, the price is rarely wrong on major events.
Why money makes forecasts better
Polls ask people what they think. Markets ask people to back it with capital. That changes behavior:
- Skin in the game filters noise — a confident guess costs nothing, a confident trade costs money if you’re wrong.
- Information aggregation — every trader brings private knowledge, and the price absorbs all of it into one number.
- Continuous updating — a market reprices the instant news breaks, while a poll is a snapshot that’s stale by the time it’s published.
This is why a prediction market often beats polls: it rewards being right and punishes being loud.
Where markets still get it wrong
Accuracy isn’t magic. Markets degrade when:
- Liquidity is thin — few traders means prices reflect a handful of opinions, not a crowd. (This is exactly why shared liquidity matters; see what a Polymarket Builder is.)
- The question is far out — a market resolving in a year has little fresh information to price.
- The event is genuinely uncertain — a true coin-flip will sit near 50%, and being “wrong” half the time is correct calibration, not failure.
The takeaway
Prediction markets are accurate in the way that matters: they’re well-calibrated, they beat most polls, and they get sharper as the event nears. They aren’t crystal balls — a 70% market still loses 30% of the time. But as a public, real-time probability signal, the price is hard to beat.
Want to see how the prices, tokens, and settlement actually work? Read how Pots Market works.