When this trader buys at $0.70, they imply 70% probability. Perfect calibration = the event happens 70% of the time.
| Bucket | Bets | Expected | Actual | Error |
|---|---|---|---|---|
| 0.00-0.10 | 1 | 4% | 0% | 4.0% |
| 0.10-0.20 | 2 | 17% | 0% | 17.5% |
| 0.20-0.30 | 2 | 25% | 0% | 24.5% |
| 0.40-0.50 | 1 | 49% | 0% | 49.1% |
| 0.50-0.60 | 2 | 54% | 0% | 54.2% |
Skill measures calibration quality (0-100). Variance measures return volatility (0-100, higher = more volatile).
On-chain verification: wallet age 108 days, 2000 txs, provenance grade C. Bot score: 0/100, wash trading score: 0/100.
2000 total trades across 1839 markets.
8 bets on resolved markets available for calibration scoring.
Insufficient resolved bets for calibration analysis.
Skill: 23/100 (calibration quality). Variance: 11/100 (higher = more volatile returns).
Below average. The data shows poor calibration, thin evidence, or both. When this trader expresses high confidence, events don't happen at the rate they imply.
Confidence: D/35 ± 25 (very_low confidence, 8 resolved bets). Low confidence — take this score with a grain of salt until more markets resolve.
Methodology: Brier Score Decomposition (Murphy 1973), Log Loss, On-Chain USDC Verification. Same approach used by IARPA to identify superforecasters.