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 | 35 | 6% | 0% | 6.2% |
| 0.10-0.20 | 102 | 16% | 0% | 15.9% |
| 0.20-0.30 | 177 | 25% | 0% | 25.0% |
| 0.30-0.40 | 35 | 32% | 0% | 31.7% |
Skill measures calibration quality (0-100). Variance measures return volatility (0-100, higher = more volatile).
On-chain verification: wallet age 70 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 349 markets.
349 bets on resolved markets available for calibration scoring.
Calibration error: 21.1% — needs improvement.
Skill: 35/100 (calibration quality). Variance: 39/100 (higher = more volatile returns).
Brier Skill Score: 79.8% vs naive baseline (>0% = better than always predicting base rate).
Brier decomposition: REL=0.0496 RES=0.0000 UNC=0.0000.
Log loss: 0.2420 (skill: -2960.8% vs naive). Lower log loss = better calibration on rare events.
Timeliness: avg entry 1.1 days before resolution, 0% early mover.
This trader shows some skill signal, but not enough to clearly distinguish from luck. More data needed.
Confidence: C/51 [CI95: C→C, 51-51] (349 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.