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 | 2 | 8% | 0% | 8.5% |
| 0.10-0.20 | 5 | 19% | 0% | 19.2% |
| 0.20-0.30 | 23 | 26% | 0% | 25.6% |
| 0.30-0.40 | 74 | 36% | 0% | 36.3% |
| 0.40-0.50 | 217 | 45% | 0% | 45.4% |
| 0.50-0.60 | 114 | 54% | 0% | 53.9% |
| 0.60-0.70 | 48 | 65% | 0% | 64.5% |
| 0.70-0.80 | 11 | 74% | 0% | 74.1% |
| 0.80-0.90 | 5 | 83% | 0% | 83.5% |
Skill measures calibration quality (0-100). Variance measures return volatility (0-100, higher = more volatile).
On-chain verification: wallet age 84 days, 2988 txs, provenance grade B. Bot score: 0/100, wash trading score: 0/100.
Polymarket on-chain coverage: $16,867 in / $0 out across 190 withdrawal tx since 2026-04-15.
3100 total trades across 840 markets.
499 bets on resolved markets available for calibration scoring.
Calibration error: 47.5% — needs improvement.
Skill: 3/100 (calibration quality). Variance: 14/100 (higher = more volatile returns).
Brier Skill Score: 4.5% vs naive baseline (>0% = better than always predicting base rate).
Brier decomposition: REL=0.2380 RES=0.0000 UNC=0.0000.
Log loss: 0.6722 (skill: -8400.5% vs naive). Lower log loss = better calibration on rare events.
Timeliness: avg entry 0.9 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/53 [CI95: C→C, 52-53] (499 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.