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 | 842 | 2% | 0% | 2.4% |
| 0.10-0.20 | 40 | 10% | 5% | 5.4% |
| 0.20-0.30 | 2 | 24% | 0% | 23.8% |
| 0.30-0.40 | 2 | 37% | 0% | 36.9% |
| 0.40-0.50 | 2 | 46% | 0% | 45.7% |
| 0.50-0.60 | 10 | 50% | 0% | 50.0% |
| 0.90-1.00 | 4 | 92% | 100% | 7.9% |
Skill measures calibration quality (0-100). Variance measures return volatility (0-100, higher = more volatile).
On-chain verification: wallet age 127 days, 2000 txs, provenance grade C. Bot score: 0/100, wash trading score: 0/100.
Polymarket on-chain coverage: $11,871 in / $35,610 out across 78 withdrawal tx since 2026-01-10.
3100 total trades across 224 markets.
902 bets on resolved markets available for calibration scoring.
Calibration error: 3.3% — excellent.
Skill: 57/100 (calibration quality). Variance: 64/100 (higher = more volatile returns).
Brier Skill Score: -0.7% vs naive baseline (>0% = better than always predicting base rate).
Brier decomposition: REL=0.0044 RES=0.0045 UNC=0.0066.
Log loss: 0.0437 (skill: -9.3% 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/58 [CI95: C→C, 58-58] (902 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.