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 |
|---|---|---|---|---|
| 0.30-0.40 | 1 | 35% | 100% | 65.1% |
| 0.40-0.50 | 3 | 42% | 100% | 58.5% |
| 0.50-0.60 | 1 | 58% | 100% | 42.3% |
| 0.60-0.70 | 2 | 62% | 100% | 37.9% |
On-chain verification: wallet age 545 days, 2000 txs, provenance grade B. Bot score: 0/100, wash trading score: 0/100.
Polymarket on-chain coverage: $0 in / $0 out across 0 withdrawal tx since never.
194 total trades across 7 markets.
7 bets on resolved markets available for calibration scoring.
Insufficient resolved bets for calibration analysis.
Skill: 0/100 (calibration quality). Variance: 27/100 (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/38 ± 25 (very_low confidence, 7 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.