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
Paris SG
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 |
Marseille
|
7 | 5 | 0 | 2 | +10 | +5.5 | 15 |
| 2 |
Paris SG
|
6 | 5 | 0 | 1 | +8 | +3.8 | 15 |
| 3 |
Strasbourg
|
7 | 5 | 0 | 2 | +7 | +6.6 | 15 |
| 4 |
Lyon
|
7 | 5 | 0 | 2 | +4 | +3.7 | 15 |
| 5 |
Monaco
|
7 | 4 | 1 | 2 | +4 | +2.7 | 13 |
| 6 |
Lens
|
7 | 4 | 1 | 2 | +4 | +2.3 | 13 |
| 7 |
Lille
|
6 | 3 | 1 | 2 | +4 | +4.0 | 10 |
| 8 |
Paris FC
|
7 | 3 | 1 | 3 | -1 | -1.3 | 10 |
| 9 |
Toulouse
|
7 | 3 | 1 | 3 | -1 | +0.6 | 10 |
| 10 |
Rennes
|
7 | 2 | 4 | 1 | -1 | -3.7 | 10 |
| 11 |
Brest
|
7 | 2 | 2 | 3 | +0 | +0.3 | 8 |
| 12 |
Nice
|
7 | 2 | 2 | 3 | -3 | -2.7 | 8 |
| 13 |
Lorient
|
7 | 2 | 1 | 4 | -7 | -1.5 | 7 |
| 14 |
Le Havre
|
7 | 1 | 3 | 3 | -2 | +2.5 | 6 |
| 15 |
Nantes
|
7 | 1 | 3 | 3 | -2 | -5.1 | 6 |
| 16 |
Auxerre
|
7 | 2 | 0 | 5 | -5 | -2.2 | 6 |
| 17 |
Angers
|
7 | 1 | 2 | 4 | -8 | -7.4 | 5 |
| 18 |
Metz
|
7 | 0 | 2 | 5 | -11 | -8.1 | 2 |
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. Ozer
G
T. Meunier
D
N. Ngoy
D
A. Mandi
D
R. Perraud
D
N. Bentaleb
M
A. Bouaddi
M
B. Andre
M
H. Haraldsson
F
O. Giroud
F
M. Fernandez-Pardo
F
Coach: Bruno Génésio
L. Chevalier
G
W. Zaire-Emery
D
L. Beraldo
D
W. Pacho
D
L. Hernandez
D
S. Mayulu
M
Lee Kang-In
M
Q. Ndjantou
M
I. Mbaye
F
G. Ramos
F
B. Barcola
F
Coach: Luis Enrique Martínez García
Green columns are the outcomes that came in.
Roma
Lille
Lille
Lyon
Lille
Brann
Lens
Lille
Lille
Toulouse
Benoît Bastien · 74 kamper i vår database
🟥 Red cards: 0,36 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.