ChampionshipWest Brom vs QPR Correct Score
Expert AI analysis
The model makes Most likely · 13.4% at 1-1, its strongest read on the Correct Score market. It is driven by both attacks and defences: West Brom have averaged 1.4 scored and 1.0 conceded, QPR 0.8 and 0.6 over their recent games. That fits a tighter goals environment: 42.9% for over 2.5 and 69.7% for at least two goals. Their last 5 meetings have averaged 3.2 goals a game. These are the model’s own calibrated numbers, not betting advice.
Correct Score
| Scoreline | Probability |
|---|---|
| 1-1 | 13.4% |
| 1-0 | 11.9% |
| 0-0 | 9.7% |
| 2-1 | 8.8% |
| 0-1 | 8.7% |
| 2-0 | 8.6% |
| 1-2 | 6.5% |
| 0-2 | 4.8% |
Score probability grid
| West Brom \ QPR | 0 | 1 | 2 | 3 | 4 | 5 |
|---|---|---|---|---|---|---|
| 0 | 10% | 9% | 5% | 2% | · | · |
| 1 | 12% | 13% | 7% | 2% | 1% | · |
| 2 | 9% | 9% | 4% | 2% | · | · |
| 3 | 4% | 4% | 2% | 1% | · | · |
| 4 | 1% | 1% | 1% | · | · | · |
| 5 | · | · | · | · | · | · |
Rows = West Brom goals, columns = QPR. The most likely scoreline is 1-1 at 13.4%. No exact score is ever truly likely; the value is in the full distribution the model assigns. 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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In-depth analysis
48.5%Both Teams to Score42.9%Over 2.5 goalsLooking at totals, the model sees 42.9% for three or more goals and 69.7% for at least two, painting a lower-scoring picture. Given West Brom favoured at 44.3%, a competitive game tends to open up.
We publish the model, not a sure thing. We grade every call after the match.
Model lenses
Different analytical lenses our model applies to the same calibrated data, not separate tipsters, and never a tip.
Form & head-to-head
Last 5 meetings: West Brom 3 · 1 draws · QPR 1 · 3.2 goals/game.
FAQ
What is the most likely score in West Brom vs QPR?
The model's most likely scoreline for West Brom vs QPR is 1-1 at 13.4%.
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 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.