Beveren vs
Lommel SK Correct Score
Expert AI analysis
Our model lands on Most likely · 12.8% at 1-1, its strongest read on the Correct Score market. The goals picture is built on form: Beveren have averaged 1.0 scored and 1.8 conceded, Lommel SK 1.0 and 1.2 over their recent games. That fits a balanced goals environment: 50.1% for over 2.5 and 75.3% for at least two goals. It is a calibrated model probability, graded out-of-sample, not a tip.
Correct Score
| Scoreline | Probability |
|---|---|
| 1-1 | 12.8% |
| 1-0 | 9.5% |
| 2-1 | 9.0% |
| 0-1 | 7.6% |
| 2-0 | 7.5% |
| 0-0 | 7.5% |
| 1-2 | 7.3% |
| 2-2 | 5.4% |
Score probability grid
| Beveren \ Lommel SK | 0 | 1 | 2 | 3 | 4 | 5 |
|---|---|---|---|---|---|---|
| 0 | 7% | 8% | 5% | 2% | 1% | · |
| 1 | 10% | 13% | 7% | 3% | 1% | · |
| 2 | 7% | 9% | 5% | 2% | 1% | · |
| 3 | 4% | 4% | 3% | 1% | · | · |
| 4 | 1% | 2% | 1% | · | · | · |
| 5 | · | · | · | · | · | · |
Rows = Beveren goals, columns = Lommel SK. The most likely scoreline is 1-1 at 12.8%. The grid is the model’s full scoreline distribution, not a single tip, but the shape of every plausible result. Read the heatmap as a map of likelihood, not a prediction of one score.
Goals distribution
How likely each total number of goals is, according to the model. Every goals market on this page is built from these bars. The 5+ bar covers every result with five goals or more.
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In-depth analysis
Every figure here is what the model thinks, not advice. We score every call against the result after the match.
For the goal environment, the model sees 50.1% for three or more goals and 75.3% for at least two, painting a balanced picture. With Beveren favoured at 42.9%, a competitive game tends to open up.
Model lenses
The same numbers read in different ways by one model. These are not separate tipsters, and none of them is a tip.
Form & head-to-head
FAQ
What is the most likely score in Beveren vs Lommel SK?
The model's most likely scoreline for Beveren vs Lommel SK is 1-1 at 12.8%.
How is this probability calculated?
We fit a goals and markets model (Dixon-Coles plus an xG strength model and an ensemble) on real match data, then calibrate the output against out-of-sample results. It is a calibrated model probability, not an odds-derived tip.
Is this a betting tip?
No – these are calibrated model probabilities, graded against real results. We publish our full track record, including the misses, and never claim to beat the closing market.
Overall model accuracy
We don’t yet publish a graded Correct Score-specific track record, so this is our overall accuracy across every 1X2 call, graded out-of-sample, updated daily.
Predictions & track record updated 22 Sep 2026. See the full, dated track record →
Related
Model probabilities, calibration-graded, not a tip. We publish our track record, including the misses. 18+. For information only, not betting advice. If gambling is a problem, visit BeGambleAware.

