Championship
Wolves vs West Brom Correct Score
Expert AI analysis
Our model lands on Most likely · 13.6% at 1-1, its strongest read on the Correct Score market. It is driven by both attacks and defences: Wolves have averaged 2.4 scored and 1.6 conceded, West Brom 1.0 and 1.0 over their recent games. That fits a tighter goals environment: 41.3% for over 2.5 and 68.4% for at least two goals. These are the model’s own calibrated numbers, not betting advice.
Correct Score
| Scoreline | Probability |
|---|---|
| 1-1 | 13.6% |
| 0-1 | 12.1% |
| 0-0 | 10.3% |
| 1-0 | 9.2% |
| 1-2 | 8.5% |
| 0-2 | 8.4% |
| 2-1 | 6.6% |
| 2-0 | 5.0% |
Score probability grid
| Wolves \ West Brom | 0 | 1 | 2 | 3 | 4 | 5 |
|---|---|---|---|---|---|---|
| 0 | 10% | 12% | 8% | 4% | 1% | · |
| 1 | 9% | 14% | 9% | 4% | 1% | · |
| 2 | 5% | 7% | 4% | 2% | 1% | · |
| 3 | 2% | 2% | 1% | 1% | · | · |
| 4 | · | 1% | · | · | · | · |
| 5 | · | · | · | · | · | · |
Rows = Wolves goals, columns = West Brom. The most likely scoreline is 1-1 at 13.6%. No exact score is ever truly likely; the value is in the full distribution the model assigns. The brightest cells are where the match is most likely to land.
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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In-depth analysis
These are calibrated model probabilities, not tips. The track record is public, misses included.
47.4%Both Teams to Score41.3%Over 2.5 goalsFor the goal environment, the model sees 41.3% for three or more goals and 68.4% for at least two, painting a lower-scoring picture. With West Brom favoured at 42.8%, a competitive game tends to open up.
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 is the most likely score in Wolves vs West Brom?
The model's most likely scoreline for Wolves vs West Brom is 1-1 at 13.6%.
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 19 Sep 2026. See the full, dated track record →
More Championship, 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.
