Pro League
Genk vs 
Beveren Correct Score
Result
Final score 4-0. The model gave that exact scoreline 3.7%.
Expert AI analysis
The model makes Most likely · 10.1% at 2-0, its strongest read on the Correct Score market. It is driven by both attacks and defences: Genk have averaged 2.0 scored and 1.6 conceded, Beveren 0.7 and 2.0 over their recent games. That fits an open goals environment: 59.4% for over 2.5 and 81.7% for at least two goals. Calibrated against real results, we show the read, not a sure thing.
Correct Score
| Scoreline | Probability |
|---|---|
| 2-0 | 10.1% |
| 1-1 | 9.9% |
| 2-1 | 9.9% |
| 1-0 | 9.2% |
| 3-0 | 7.1% |
| 3-1 | 6.9% |
| 0-0 | 5.1% |
| 2-2 | 4.9% |
Score probability grid
| Genk \ Beveren | 0 | 1 | 2 | 3 | 4 | 5 |
|---|---|---|---|---|---|---|
| 0 | 5% | 4% | 2% | 1% | · | · |
| 1 | 9% | 10% | 5% | 2% | · | · |
| 2 | 10% | 10% | 5% | 2% | · | · |
| 3 | 7% | 7% | 3% | 1% | · | · |
| 4 | 4% | 4% | 2% | 1% | · | · |
| 5 | 2% | 2% | 1% | · | · | · |
Rows = Genk goals, columns = Beveren. The most likely scoreline is 2-0 at 10.1%. Rather than one score, the model spreads probability across the whole grid, that distribution is the real signal. Darker cells carry more probability.
Goals distribution
The model’s probability for the total number of goals, the shape behind every goals market. The 5+ bar groups every result with five or more goals.
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1
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5+
In-depth analysis
55.3%Both Teams to Score59.4%Over 2.5 goalsFor the goal environment, the model sees 59.4% for three or more goals and 81.7% for at least two, painting a balanced picture. Given Genk favoured at 62.6%, they may control possession and keep things tighter.
Every figure is the model’s own calibrated read, not advice. The track record is public, misses included.
Model lenses
Different analytical lenses our model applies to the same calibrated data, not separate tipsters, and never a tip.
Form & head-to-head
FAQ
What was the score in Genk vs Beveren?
Genk vs Beveren finished 4-0. The model's most likely scoreline was 2-0 at 10.1%; it gave the actual 4-0 a 3.7% chance.
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 11 Sep 2026. See the full, dated track record →
More Pro League, Correct Score
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.