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 | 516 | 3% | 0% | 2.8% |
| 0.10-0.20 | 81 | 14% | 0% | 13.6% |
| 0.20-0.30 | 39 | 24% | 0% | 24.4% |
| 0.30-0.40 | 36 | 34% | 0% | 33.5% |
| 0.40-0.50 | 27 | 45% | 0% | 45.0% |
| 0.50-0.60 | 17 | 54% | 0% | 54.2% |
| 0.60-0.70 | 18 | 65% | 0% | 65.4% |
| 0.70-0.80 | 17 | 75% | 0% | 74.9% |
| 0.80-0.90 | 23 | 85% | 0% | 84.8% |
| 0.90-1.00 | 215 | 98% | 0% | 98.2% |
Skill measures calibration quality (0-100). Variance measures return volatility (0-100, higher = more volatile).
On-chain verification: wallet age 184 days, 2934 txs, provenance grade B. Bot score: 0/100, wash trading score: 0/100.
Polymarket on-chain coverage: $10,224 in / $0 out across 79 withdrawal tx since 2025-11-17.
3100 total trades across 1801 markets.
989 bets on resolved markets available for calibration scoring.
Calibration error: 32.7% — needs improvement.
Skill: 21/100 (calibration quality). Variance: 19/100 (higher = more volatile returns).
Brier Skill Score: -5.3% vs naive baseline (>0% = better than always predicting base rate).
Brier decomposition: REL=0.2626 RES=0.0000 UNC=0.0000.
Log loss: 1.0973 (skill: -13777.5% vs naive). Lower log loss = better calibration on rare events.
No demonstrated forecasting skill. This trader performs at or below random chance based on available data.
Confidence: F/10 [CI95: F→F, 9-11] (989 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.