WR10
Win-rate vs top-10 opponents, blended with Elo.
All-time accuracy
70.0%
7 / 10 settled
Last 50
70.0%
sliding window
Last 10
70.0%
most recent
Brier score
0.227
lower = better (0.25 = coin flip)
Log-loss
0.645
lower = better
Simulated bankroll
If you'd staked $10 on every prediction at fair odds (1/probability, no bookie vig), your P&L would be +$10.28 across 10 bets. ROI = +10.28%.
Calibration by confidence
When the model says 80%, is it actually right 80% of the time? Well-calibrated models have accuracy that matches confidence range.
| Confidence range | Picks | Accuracy | Calibration |
|---|---|---|---|
| 50–60% | 1 | 100.0% (1/1) | |
| 60–70% | 8 | 62.5% (5/8) | |
| 70–80% | 1 | 100.0% (1/1) | |
| 80–90% | 0 | — | |
| 90–101% | 0 | — |
Upcoming picks
| When | Match | This model picks | Confidence |
|---|---|---|---|
| GL vs XG | GL 79% | 0.20 |
Recent picks (15)
| When | Match | Pick | Outcome | Result |
|---|---|---|---|---|
| Jul 01 | GL vs XG | GL 79% | pending | — |
| Jun 27 | Resilience vs YB | Resilience 78% | Resilience | ✓ HIT |
| Jun 27 | AMG vs EB | AMG 50% | AMG | coin-flip |
| Jun 27 | LGD vs PlayTime | LGD 63% | LGD | ✓ HIT |
| Jun 27 | LGD vs PlayTime | LGD 63% | LGD | ✓ HIT |
| Jun 27 | LGD vs PlayTime | LGD 63% | LGD | ✓ HIT |
| Jun 27 | NMSS vs AMG | NMSS 67% | AMG | ✗ miss |
| Jun 27 | NMSS vs AMG | NMSS 67% | AMG | ✗ miss |
| Jun 27 | NMSS vs AMG | NMSS 67% | AMG | ✗ miss |
| Jun 27 | PlayTime vs AMG | PlayTime 55% | PlayTime | ✓ HIT |
| Jun 27 | LGD vs PlayTime | LGD 63% | LGD | ✓ HIT |
| Jun 27 | LGD vs PlayTime | LGD 63% | LGD | ✓ HIT |
| Jun 27 | EB vs AMG | EB 50% | pending | — |
| Jun 27 | EB vs AMG | EB 50% | pending | — |
| Jun 27 | EB vs AMG | EB 50% | pending | — |