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 | 896 | 2% | 0% | 1.9% |
| 0.10-0.20 | 20 | 15% | 0% | 14.8% |
| 0.20-0.30 | 44 | 24% | 0% | 24.0% |
| 0.30-0.40 | 12 | 32% | 0% | 32.1% |
| 0.40-0.50 | 6 | 47% | 0% | 47.5% |
| 0.50-0.60 | 22 | 50% | 0% | 50.0% |
Skill measures calibration quality (0-100). Variance measures return volatility (0-100, higher = more volatile).
On-chain verification: wallet age 554 days, 2710 txs, provenance grade B. Bot score: 30/100, wash trading score: 20/100.
2000 total trades across 667 markets.
1000 bets on resolved markets available for calibration scoring.
Calibration error: 4.8% — excellent.
Skill: 54/100 (calibration quality). Variance: 62/100 (higher = more volatile returns).
Brier Skill Score: 95.4% vs naive baseline (>0% = better than always predicting base rate).
Brier decomposition: REL=0.0114 RES=0.0000 UNC=0.0000.
Log loss: 0.0562 (skill: -610.1% 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.