Monaco 1-1 Lille correct score: our prediction vs the result
Pre-match model estimates. Based on the Road2Sushi model. Not guaranteed outcomes.
Result
Monaco1-1Lille
Final score 1-1. The model gave that exact scoreline 13.3%.
Model read
No single outcome dominates, read the distribution.
Conviction: Open
Most likely · 13.3%1-1
Correct score
Score distribution: the model probability of each exact score.
Rows = Monaco goals, columns = Lille goals. The most likely scoreline is 1-1 at 13.3%.
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.
Most likely scorelines
- 1-113.3%
- 1-09.4%
- 0-19.1%
- 0-08.3%
- 2-18.3%
- 1-28.0%
- 2-06.6%
- 0-26.1%
Score probability grid
| H / A | 0 | 1 | 2 | 3 | 4 | 5 |
|---|---|---|---|---|---|---|
| 0 | 8.3% | 9.1% | 6.1% | 2.6% | 0.8% | 0.2% |
| 1 | 9.4% | 13.3% | 8% | 3.3% | 1.1% | 0.3% |
| 2 | 6.6% | 8.3% | 5.2% | 2.2% | 0.7% | 0.2% |
| 3 | 2.9% | 3.6% | 2.3% | 1% | 0.3% | 0.1% |
| 4 | 0.9% | 1.2% | 0.7% | 0.3% | 0.1% | 0.0% |
| 5 | 0.2% | 0.3% | 0.2% | 0.1% | 0.0% | 0.0% |
Rows: Monaco · Columns: Lille
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+
Form & head-to-head
Recent form uses each club’s available results in their stored order. Select a W/D/L result for details.
Head-to-head figures use their own recorded sample. Where individual results are available, the figures and journal cover the same meetings. Missing results are never counted as draws.
W
D
W
D
L
2 wins · 2 draws · 1 loss
W
W
L
W
D
3 wins · 1 draw · 1 loss
Head-to-head
Last 5 meetings
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 27 Oct 2026.
Model analysis: reasoning, key facts and model lenses
Expert AI analysis
The model makes Most likely · 13.3% at 1-1, its strongest read on the Correct Score market. Recent output points the same way: Monaco have averaged 1.4 scored and 1.2 conceded, Lille 1.2 and 0.6 over their recent games. That fits a balanced goals environment: 47.2% for over 2.5 and 73.2% for at least two goals. Their last 5 meetings have averaged 1.2 goals a game. The published percentage is an estimate, not a guarantee or a measured hit rate.
In-depth analysis
On the goals side, the model sees 47.2% for three or more goals and 73.2% for at least two, painting a balanced picture. With Monaco favoured at 37.7%, neither side dominating can mean an end-to-end match.
Every figure here is what the model thinks, not advice. The track record is public, misses included.
Model lenses
The same numbers read in different ways by one model. These are not separate tipsters, and none of them is a tip.
Players to watch
Published player-market probabilities, shown in kickoff order. Model estimates, not confirmed lineups.
MonacoMonaco (1)
Anssumane Fati
LilleLille (1)
Ethan Mbappé
FAQ
What was the score in Monaco vs Lille?
How is this probability calculated?
Is this a betting tip?
More Ligue 1, Correct Score
Related
Model estimates; validation depends on the market and available sample. We publish our track record, including the misses. 18+. For information only, not betting advice. If gambling is a problem, visit BeGambleAware.
