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 | 884 | 5% | 0% | 5.4% |
| 0.10-0.20 | 86 | 12% | 0% | 12.3% |
| 0.20-0.30 | 2 | 20% | 0% | 20.0% |
| 0.30-0.40 | 10 | 34% | 0% | 33.8% |
| 0.50-0.60 | 2 | 59% | 0% | 59.0% |
Skill measures calibration quality (0-100). Variance measures return volatility (0-100, higher = more volatile).
On-chain verification: wallet age 13 days, 2000 txs, provenance grade C. Bot score: 0/100, wash trading score: 0/100.
Polymarket on-chain coverage: $0 in / $0 out across 0 withdrawal tx since never.
3100 total trades across 358 markets.
984 bets on resolved markets available for calibration scoring.
Calibration error: 6.5% — excellent.
Skill: 52/100 (calibration quality). Variance: 61/100 (higher = more volatile returns).
Brier Skill Score: 97.3% vs naive baseline (>0% = better than always predicting base rate).
Brier decomposition: REL=0.0059 RES=0.0000 UNC=0.0000.
Log loss: 0.0685 (skill: -765.9% vs naive). Lower log loss = better calibration on rare events.
This trader shows genuine forecasting skill with a meaningful edge across multiple markets.
Confidence: B/73 [CI95: B→B, 73-73] (984 resolved bets). This score is highly reliable — enough resolved bets to be confident.
Methodology: Brier Score Decomposition (Murphy 1973), Log Loss, On-Chain USDC Verification. Same approach used by IARPA to identify superforecasters.