TL;DR
The contract price IS the probability. A 72-cent YES contract means the crowd thinks there is a 72% chance the event happens.
Key Points
✓Contract prices on binary markets map directly to probability: price in cents equals percent chance.
✓A YES contract priced at $0.40 and a NO contract on the same market priced at $0.60 together sum to $1.00.
✓Implied probability can diverge from true probability due to liquidity constraints, trading fees, and market participant biases.
✓Converting to decimal odds: divide 1 by the implied probability (e.g., 0.65 implies 1/0.65 = 1.54 decimal odds).
✓Overround or vig can cause the combined probabilities across all outcomes to exceed 100%, reducing trader value.
How Contract Price Becomes Probability
In a Binary Market, each YES contract pays $1.00 if the event occurs and $0.00 if it does not. Because the payout is fixed at one dollar, the Contract Price directly encodes the crowd's consensus probability. A contract trading at $0.72 means rational traders believe the event has roughly a 72% chance of happening. This Price as Probability relationship is fundamental to how Prediction Market venues like Kalshi and Polymarket communicate forecasts. When new information arrives, traders buy or sell contracts to reflect updated beliefs, and the price adjusts in real time. The resulting implied probability aggregates dispersed private information across all market participants, making prediction markets useful forecasting tools beyond pure speculation.
Implied Probability vs. True Probability
Implied probability is the market's best estimate, not a guarantee of accuracy. Several forces can push market prices away from true underlying probabilities. Overround (also called Vig) is built into many platforms, causing YES and NO prices to sum to more than $1.00 and systematically understating each outcome's implied probability. Longshot Bias causes low-probability events to be overpriced, meaning a 5-cent contract may actually reflect a true probability below 5%. Calibration studies measure how often prediction markets get the odds right on average. Skilled traders exploit gaps between implied and true probability by finding Mispricing, while Information Aggregation theory suggests well-functioning markets self-correct these gaps over time.
Sources & References
Last updated: June 25, 2026
Related Terms
More in Trading & Pricing
Find the best odds on every market
Compare live prices across Kalshi, Polymarket, and more — spot arbitrage and trade the sharpest line on any event.
Compare Markets