Pro League
Gent vs Standard Liège Correct Score
Result
Final score 2-1. The model gave that exact scoreline 9.8%.
Expert AI analysis
The headline read is Most likely · 11.7% at 1-1, its strongest read on the Correct Score market. That fits a balanced goals environment: 51.2% for over 2.5 and 76.1% for at least two goals. It is a calibrated model probability, graded out-of-sample, not a tip.
Correct Score
| Scoreline | Probability |
|---|---|
| 1-1 | 11.7% |
| 1-0 | 11.0% |
| 2-0 | 10.2% |
| 2-1 | 9.8% |
| 0-0 | 7.1% |
| 3-0 | 6.0% |
| 0-1 | 5.8% |
| 3-1 | 5.7% |
Score probability grid
| Gent \ Standard Liège | 0 | 1 | 2 | 3 | 4 | 5 |
|---|---|---|---|---|---|---|
| 0 | 7% | 6% | 3% | 1% | · | · |
| 1 | 11% | 12% | 5% | 2% | · | · |
| 2 | 10% | 10% | 5% | 2% | · | · |
| 3 | 6% | 6% | 3% | 1% | · | · |
| 4 | 3% | 3% | 1% | · | · | · |
| 5 | 1% | 1% | · | · | · | · |
Rows = Gent goals, columns = Standard Liège. The most likely scoreline is 1-1 at 11.7%. 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
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.
0
1
2
3
4
5+
In-depth analysis
These are the model’s own percentages, not tips. What we are good at is getting the percentage right, not at beating the bookmakers.
51.7%Both Teams to Score51.2%Over 2.5 goalsLooking at totals, the model sees 51.2% for three or more goals and 76.1% for at least two, painting a balanced picture. Given Gent favoured at 55.5%, a close contest often produces chances at both ends.
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 was the score in Gent vs Standard Liège?
Gent vs Standard Liège finished 2-1. The model's most likely scoreline was 1-1 at 11.7%; it gave the actual 2-1 a 9.8% 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 22 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.
