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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Lille
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: 0–0
| # | Team | K | V | U | T | +/− | xG +/− | P |
|---|---|---|---|---|---|---|---|---|
| 1 |
Montpellier
|
2 | 1 | 1 | 0 | +3 | +3.1 | 4 |
| 2 |
Marseille
|
2 | 1 | 1 | 0 | +1 | +1.7 | 4 |
| 3 |
Toulouse
|
2 | 1 | 1 | 0 | +1 | -0.7 | 4 |
| 4 |
Rennes
|
1 | 1 | 0 | 0 | +4 | +3.9 | 3 |
| 5 |
Monaco
|
1 | 1 | 0 | 0 | +2 | +0.7 | 3 |
| 6 |
Brest
|
1 | 1 | 0 | 0 | +1 | +1.8 | 3 |
| 7 |
Strasbourg
|
1 | 1 | 0 | 0 | +1 | -0.5 | 3 |
| 8 |
Paris SG
|
2 | 0 | 2 | 0 | +0 | +2.0 | 2 |
| 9 |
Le Havre
|
1 | 0 | 1 | 0 | +0 | -0.5 | 1 |
| 10 |
Nice
|
1 | 0 | 1 | 0 | +0 | -0.2 | 1 |
| 11 |
Lille
|
1 | 0 | 1 | 0 | +0 | +0.2 | 1 |
| 12 |
Lorient
|
1 | 0 | 1 | 0 | +0 | -1.1 | 1 |
| 13 |
Metz
|
2 | 0 | 1 | 1 | -4 | -5.4 | 1 |
| 14 |
Lens
|
1 | 0 | 0 | 1 | -1 | -1.8 | 0 |
| 15 |
Reims
|
1 | 0 | 0 | 1 | -1 | -0.3 | 0 |
| 16 |
Nantes
|
1 | 0 | 0 | 1 | -1 | -0.2 | 0 |
| 17 |
Clermont
|
1 | 0 | 0 | 1 | -2 | -0.7 | 0 |
| 18 |
Lyon
|
2 | 0 | 0 | 2 | -4 | -2.1 | 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.
L. Chevalier
G
Tiago Santos
D
B. Diakité
D
Alexsandro Ribeiro
D
A. Gomes
M
B. André
M
E. Zhegrova
M
H. Haraldsson
M
J. David
F
Coach: Paulo Fonseca
R. Descamps
G
R. Pierre-Gabriel
D
Pedro Chirivella
M
Q. Merlin
M
F. Mollet
F
M. Simon
F
Mostafa Mohamed
F
Coach: P. Aristouy
Green columns are the outcomes that came in.
Nice
Lille
Troyes
Lille
Lille
Nantes
Lille
Marseille
Monaco
Lille
P Gaillouste · 98 kamper i vår database
🟥 Red cards: 0,30 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.