League TwoRotherham vs Salford Correct Score
Expert AI analysis
Our model lands on Most likely · 13.3% at 1-1, its strongest read on the Correct Score market. The goals picture is built on form: Rotherham have averaged 1.2 scored and 1.4 conceded, Salford 0.8 and 1.2 over their recent games. That fits a tighter goals environment: 43.5% for over 2.5 and 70.2% for at least two goals. Calibrated against real results, we show the read, not a sure thing.
Correct Score
| Scoreline | Probability |
|---|---|
| 1-1 | 13.3% |
| 0-1 | 11.8% |
| 0-0 | 9.6% |
| 1-2 | 8.9% |
| 0-2 | 8.7% |
| 1-0 | 8.4% |
| 2-1 | 6.5% |
| 2-0 | 4.6% |
Score probability grid
| Rotherham \ Salford | 0 | 1 | 2 | 3 | 4 | 5 |
|---|---|---|---|---|---|---|
| 0 | 10% | 12% | 9% | 4% | 1% | · |
| 1 | 8% | 13% | 9% | 4% | 1% | · |
| 2 | 5% | 6% | 5% | 2% | 1% | · |
| 3 | 2% | 2% | 2% | 1% | · | · |
| 4 | · | 1% | · | · | · | · |
| 5 | · | · | · | · | · | · |
Rows = Rotherham goals, columns = Salford. The most likely scoreline is 1-1 at 13.3%. 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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In-depth analysis
48.7%Both Teams to Score43.5%Over 2.5 goalsLooking at totals, the model sees 43.5% for three or more goals and 70.2% for at least two, painting a lower-scoring picture. Given Salford favoured at 45.1%, a close contest often produces chances at both ends.
These are calibrated model probabilities, not tips. 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 is the most likely score in Rotherham vs Salford?
The model's most likely scoreline for Rotherham vs Salford is 1-1 at 13.3%.
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 13 Sep 2026. See the full, dated track record →
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.