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 | 1000 | 1% | 0% | 1.3% |
Skill measures calibration quality (0-100). Variance measures return volatility (0-100, higher = more volatile).
On-chain verification: wallet age 57 days, 2000 txs, provenance grade C. Bot score: 0/100, wash trading score: 0/100.
2000 total trades across 947 markets.
1000 bets on resolved markets available for calibration scoring.
Calibration error: 1.3% — excellent.
Skill: 59/100 (calibration quality). Variance: 20/100 (higher = more volatile returns).
Brier Skill Score: 99.9% vs naive baseline (>0% = better than always predicting base rate).
Brier decomposition: REL=0.0002 RES=0.0000 UNC=0.0000.
Log loss: 0.0129 (skill: -62.7% vs naive). Lower log loss = better calibration on rare events.
This trader shows some skill signal, but not enough to clearly distinguish from luck. More data needed.
Confidence: C/57 ± 3 (high confidence, 1000 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.