Ligue 1
Retrospective analysis — the model is trained only on matches played before this one.
The model's probabilities for a home win, draw and away win — with reasoning and recommended markets.
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Montpellier
Nantes
Expected goals, over/under and both teams to score — priced by the model before kick-off.
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The model's top final scores with the best bookmaker odds.
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Half-time score: 1–2
| # | Team | K | V | U | T | +/− | xG +/− | P |
|---|---|---|---|---|---|---|---|---|
| 1 |
Paris SG
|
2 | 2 | 0 | 0 | +9 | +5.8 | 6 |
| 2 |
Lille
|
2 | 2 | 0 | 0 | +4 | +2.3 | 6 |
| 3 |
Monaco
|
2 | 2 | 0 | 0 | +3 | +3.7 | 6 |
| 4 |
Lens
|
2 | 2 | 0 | 0 | +3 | +3.0 | 6 |
| 5 |
Marseille
|
2 | 1 | 1 | 0 | +4 | +3.3 | 4 |
| 6 |
Nantes
|
2 | 1 | 1 | 0 | +2 | -0.9 | 4 |
| 7 |
Strasbourg
|
3 | 1 | 1 | 1 | +1 | -1.1 | 4 |
| 8 |
Rennes
|
2 | 1 | 0 | 1 | +1 | +0.4 | 3 |
| 9 |
Le Havre
|
2 | 1 | 0 | 1 | -1 | -1.4 | 3 |
| 10 |
Auxerre
|
2 | 1 | 0 | 1 | -1 | +0.9 | 3 |
| 11 |
Brest
|
3 | 1 | 0 | 2 | -2 | -0.2 | 3 |
| 12 |
Lyon
|
3 | 1 | 0 | 2 | -4 | -2.0 | 3 |
| 13 |
Toulouse
|
2 | 0 | 2 | 0 | +0 | +0.9 | 2 |
| 14 |
Nice
|
2 | 0 | 1 | 1 | -1 | -0.9 | 1 |
| 15 |
Reims
|
2 | 0 | 1 | 1 | -2 | -4.3 | 1 |
| 16 |
Montpellier
|
2 | 0 | 1 | 1 | -6 | -2.7 | 1 |
| 17 |
Angers
|
2 | 0 | 0 | 2 | -3 | -1.1 | 0 |
| 18 |
St Etienne
|
3 | 0 | 0 | 3 | -7 | -5.7 | 0 |
Calculated from our results data. “xG +/−” is expected goal difference — a positive number with a low league position suggests an undervalued team. Ties on points are sorted by goal difference; some leagues use other rules.
B. Lecomte
G
B. Omeragić
D
M. Sagnan
D
J. Chotard
M
Mousa Al Ta'mari
M
T. Savanier
M
T. Coulibaly
M
A. Adams
F
Coach: M. Der Zakarian
A. Lafont
G
Pedro Chirivella
M
J. Lepenant
M
S. Thomas
M
T. Kadewere
M
M. Simon
M
M. Abline
F
Coach: A. Kombouare
Green columns are the outcomes that came in.
Paris SG
Montpellier
Montpellier
Strasbourg
Lens
Montpellier
Montpellier
Monaco
Toulouse
Montpellier
B Millot · 146 kamper i vår database
🟥 Red cards: 0,23 per match
The analysis is a statistical estimate based on the teams' results and underlying performances (xG) — not a guarantee. See the model's results.