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 | 3% | 0% | 2.9% |
| 0.10-0.20 | 2 | 14% | 50% | 36.5% |
| 0.30-0.40 | 2 | 35% | 50% | 15.0% |
| 0.50-0.60 | 1 | 51% | 100% | 48.6% |
Skill measures calibration quality (0-100). Variance measures return volatility (0-100, higher = more volatile).
On-chain verification: wallet age 13 days, 265 txs, provenance grade C. Bot score: 0/100, wash trading score: 0/100.
174 total trades across 81 markets.
6 bets on resolved markets available for calibration scoring.
Insufficient resolved bets for calibration analysis.
Skill: 42/100 (calibration quality). Variance: 100/100 (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/46 ± 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.