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 | 28 | 6% | 0% | 6.0% |
| 0.10-0.20 | 56 | 16% | 0% | 15.6% |
| 0.20-0.30 | 86 | 25% | 0% | 24.9% |
| 0.30-0.40 | 198 | 36% | 0% | 35.7% |
| 0.40-0.50 | 178 | 45% | 0% | 44.6% |
| 0.50-0.60 | 440 | 50% | 0% | 50.3% |
| 0.60-0.70 | 6 | 65% | 0% | 64.7% |
| 0.70-0.80 | 2 | 75% | 0% | 75.0% |
Skill measures calibration quality (0-100). Variance measures return volatility (0-100, higher = more volatile).
On-chain verification: wallet age 158 days, 2859 txs, provenance grade B. Bot score: 30/100, wash trading score: 0/100.
Polymarket on-chain coverage: $1,259 in / $0 out across 33 withdrawal tx since 2026-03-18.
3100 total trades across 458 markets.
994 bets on resolved markets available for calibration scoring.
Calibration error: 41.1% — needs improvement.
Skill: 11/100 (calibration quality). Variance: 15/100 (higher = more volatile returns).
Brier Skill Score: 26.4% vs naive baseline (>0% = better than always predicting base rate).
Brier decomposition: REL=0.1834 RES=0.0000 UNC=0.0000.
Log loss: 0.5488 (skill: -6840.7% 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 [CI95: C→C, 57-57] (994 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.