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 |
|---|---|---|---|
| +27.9% | 73.5% | 34 | |
| +18.7% | 51.5% | 68 | |
| +17.6% | 53.8% | 39 | |
| +17.2% | 62.5% | 40 | |
| +17.1% | 57.4% | 54 |
Competitions with at least 25 settled pre-match predictions. At these sample sizes a hit rate carries a margin of roughly ±12 to ±17 points, so read the order as a guide and not as a standing. Full table, all 41 competitions, ordered by hit rate →
The last 400 finished matches, each with the model's pre-match call and whether it landed.