Volos NFC vs
Iraklis Correct Score
Result
Final score 1-1. The model gave that exact scoreline 13.1%.
Expert AI analysis
Our model lands on Most likely · 13.1% at 1-1, its strongest read on the Correct Score market. It is driven by both attacks and defences: Volos NFC have averaged 0.8 scored and 3.0 conceded, Iraklis 1.4 and 1.6 over their recent games. That fits a balanced goals environment: 47.1% for over 2.5 and 73.0% for at least two goals. These are the model’s own calibrated numbers, not betting advice.
Correct Score
| Scoreline | Probability |
|---|---|
| 1-1 | 13.1% |
| 1-0 | 10.6% |
| 2-1 | 9.0% |
| 0-0 | 8.4% |
| 2-0 | 8.1% |
| 0-1 | 8.0% |
| 1-2 | 6.9% |
| 2-2 | 5.0% |
Score probability grid
| Volos NFC \ Iraklis | 0 | 1 | 2 | 3 | 4 | 5 |
|---|---|---|---|---|---|---|
| 0 | 8% | 8% | 5% | 2% | 1% | · |
| 1 | 11% | 13% | 7% | 3% | 1% | · |
| 2 | 8% | 9% | 5% | 2% | 1% | · |
| 3 | 4% | 4% | 2% | 1% | · | · |
| 4 | 1% | 2% | 1% | · | · | · |
| 5 | · | · | · | · | · | · |
Rows = Volos NFC goals, columns = Iraklis. The most likely scoreline is 1-1 at 13.1%. 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.
0
1
2
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4
5+
In-depth analysis
On the goals side, the model sees 47.1% for three or more goals and 73.0% for at least two, painting a balanced picture. Given Volos NFC favoured at 44.0%, a close contest often produces chances at both ends.
Every figure is the model’s own calibrated read, not advice. 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 was the score in Volos NFC vs Iraklis?
Volos NFC vs Iraklis finished 1-1, exactly the model's most likely scoreline (13.1%).
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 12 Sep 2026. See the full, dated track record →
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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.

