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 |
|---|---|---|---|---|
| 0.20-0.30 | 1 | 28% | 0% | 27.8% |
| 0.40-0.50 | 1 | 48% | 0% | 48.0% |
| 0.50-0.60 | 1 | 54% | 0% | 54.3% |
| 0.60-0.70 | 2 | 64% | 0% | 64.5% |
| 0.70-0.80 | 1 | 74% | 0% | 74.0% |
On-chain verification: wallet age 59 days, 887 txs, provenance grade C. Bot score: 0/100, wash trading score: 0/100.
587 total trades across 227 markets.
6 bets on resolved markets available for calibration scoring.
Insufficient resolved bets for calibration analysis.
Skill: 0/100 (calibration quality). Variance: 17/100 (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/40 ± 25 (very_low confidence, 6 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.