Final results across every competition we cover, each shown against the model's pre-match prediction — logged before kickoff, so the verdict is honest. ✓ Result = the model called the 1X2 outcome, ★ Exact = it nailed the scoreline.
This page is the match-by-match record. For whether the probabilities themselves hold up — calibration, and how the model scores against an uninformed baseline — see the model accuracy report.
Ranked by skill — how much of the available ground the model gained on a forecast that knew nothing and split every match evenly. Not by hit rate: a league of one-sided fixtures is easier to call, so a high hit rate there is partly a fact about the league rather than about the model.
| Competition | Skill | Correct 1X2 | Settled |
|---|---|---|---|
| +19.1% | 59.4% | 64 | |
| +18.1% | 72.4% | 29 | |
| +17.9% | 63.0% | 54 | |
| +17.6% | 56.5% | 69 | |
| +17.0% | 61.7% | 60 |
Competitions with at least 25 settled pre-match predictions. At these sample sizes a hit rate carries a margin of roughly ±12 to ±18 points, so read the order as a guide and not as a standing. Full table, all 60 competitions, ordered by hit rate →
The last 400 finished matches, each with the model's pre-match call and whether it landed.