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 | 122 | 4% | 0% | 3.9% |
| 0.10-0.20 | 56 | 15% | 0% | 15.0% |
| 0.20-0.30 | 24 | 26% | 0% | 25.6% |
| 0.30-0.40 | 38 | 35% | 5% | 30.0% |
| 0.40-0.50 | 32 | 44% | 0% | 44.0% |
| 0.50-0.60 | 44 | 55% | 0% | 55.2% |
| 0.60-0.70 | 52 | 65% | 0% | 64.8% |
| 0.70-0.80 | 48 | 75% | 4% | 70.7% |
| 0.80-0.90 | 42 | 85% | 0% | 84.6% |
| 0.90-1.00 | 158 | 96% | 0% | 96.2% |
On-chain verification: wallet age 53 days, 2973 txs, provenance grade B. Bot score: 10/100, wash trading score: 0/100.
Polymarket on-chain coverage: $7,726 in / $0 out across 236 withdrawal tx since 2026-03-08.
3100 total trades across 7 markets.
616 bets on resolved markets available for calibration scoring.
Calibration error: 52.6% — needs improvement.
Skill: 0/100 (calibration quality). Variance: 100/100 (higher = more volatile returns).
Brier Skill Score: -6249.0% vs naive baseline (>0% = better than always predicting base rate).
Brier decomposition: REL=0.4029 RES=0.0003 UNC=0.0065.
Log loss: 1.4019 (skill: -3478.1% vs naive). Lower log loss = better calibration on rare events.
No demonstrated forecasting skill. This trader performs at or below random chance based on available data.
Confidence: F/28 [CI95: F→F, 26-29] (616 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.