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 | 162 | 2% | 15% | 12.6% |
| 0.10-0.20 | 28 | 13% | 21% | 8.3% |
| 0.20-0.30 | 6 | 24% | 67% | 42.2% |
| 0.30-0.40 | 2 | 33% | 0% | 33.3% |
| 0.90-1.00 | 4 | 99% | 0% | 99.0% |
Skill measures calibration quality (0-100). Variance measures return volatility (0-100, higher = more volatile).
On-chain verification: wallet age 232 days, 2473 txs, provenance grade B. Bot score: 30/100, wash trading score: 20/100.
Polymarket on-chain coverage: $522 in / $1,099 out across 27 withdrawal tx since 2025-12-10.
944 total trades across 202 markets.
202 bets on resolved markets available for calibration scoring.
Calibration error: 14.8% — good.
Skill: 44/100 (calibration quality). Variance: 100/100 (higher = more volatile returns).
Brier Skill Score: -22.6% vs naive baseline (>0% = better than always predicting base rate).
Brier decomposition: REL=0.0394 RES=0.0088 UNC=0.1400.
Log loss: 0.7097 (skill: -56.6% 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/25 [CI95: F→F, 23-27] (202 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.