Queens Park Rangers vs Preston North End Correct Score
Result
Final score 2-2. The model gave that exact scoreline 5.0%.
Expert AI analysis
Our model lands on Most likely · 13.2% at 1-1, its strongest read on the Correct Score market. That fits a balanced goals environment: 46.6% for over 2.5 and 72.7% for at least two goals. These are the model’s own calibrated numbers, not betting advice.
Correct Score
| Scoreline | Probability |
|---|---|
| 1-1 | 13.2% |
| 1-0 | 10.4% |
| 2-1 | 8.8% |
| 0-0 | 8.5% |
| 0-1 | 8.4% |
| 2-0 | 7.7% |
| 1-2 | 7.2% |
| 0-2 | 5.1% |
Score probability grid
| Queens Park Rangers \ Preston North End | 0 | 1 | 2 | 3 | 4 | 5 |
|---|---|---|---|---|---|---|
| 0 | 9% | 8% | 5% | 2% | 1% | · |
| 1 | 10% | 13% | 7% | 3% | 1% | · |
| 2 | 8% | 9% | 5% | 2% | 1% | · |
| 3 | 4% | 4% | 2% | 1% | · | · |
| 4 | 1% | 1% | 1% | · | · | · |
| 5 | · | · | · | · | · | · |
Rows = Queens Park Rangers goals, columns = Preston North End. The most likely scoreline is 1-1 at 13.2%. 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
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 46.6% for three or more goals and 72.7% for at least two, painting a balanced picture. Given Queens Park Rangers favoured at 42.2%, 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.
FAQ
What was the score in Queens Park Rangers vs Preston North End?
Queens Park Rangers vs Preston North End finished 2-2. The model's most likely scoreline was 1-1 at 13.2%; it gave the actual 2-2 a 5.0% 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 20 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.

