Most Accurate Prediction Markets

Prediction markets with the best track record. Compare accuracy, Brier scores, and historical performance across platforms.

Measuring Prediction Market Accuracy

Prediction market accuracy is typically measured using calibration and Brier scores. A well-calibrated market should have events priced at 70% happen 70% of the time. This page compares the historical accuracy of major prediction market platforms.

Understanding Accuracy Metrics

Brier Score

Measures the accuracy of probabilistic predictions. Range: 0-1, lower is better. A score of 0 means perfect prediction; 0.25 is random guessing on binary events.

Calibration

How well probabilities match actual frequencies. If markets at 70% resolve Yes approximately 70% of the time, the market is well-calibrated.

Resolution Rate

Percentage of markets that resolve cleanly without disputes or ambiguity.

Platform Accuracy Rankings

1. Metaculus

Known for excellent calibration, especially on long-term forecasts. Community of dedicated forecasters with tracked reputations.

2. Polymarket

High liquidity leads to efficient price discovery. Strong performance on political and current events markets.

3. PredictIt

Good calibration on political markets. Limited by position caps which can affect price efficiency.

4. Kalshi

Growing track record. Accuracy improving as liquidity increases.

Factors Affecting Accuracy

  • Liquidity - More trading leads to better price discovery
  • Trader diversity - Different perspectives improve forecasts
  • Information access - Markets with informed participants perform better
  • Market design - Clear resolution criteria reduce disputes
  • Time horizon - Accuracy tends to improve closer to event resolution

Prediction Markets vs Other Forecasts

Research consistently shows prediction markets outperform:

  • Traditional polls (especially for elections)
  • Expert panel predictions
  • Simple forecasting models

The "wisdom of crowds" effect, combined with financial incentives, creates accurate probability estimates that are difficult to beat.

How to Use Accuracy Data

  • Trust high-liquidity markets - More trading = more accurate prices
  • Check historical calibration - Has the platform been accurate before?
  • Look for edge in low-liquidity markets - Less efficient = more opportunity
  • Consider multiple platforms - Cross-reference for better estimates

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