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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Le Havre
Nice
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: 1–0
| # | Team | K | V | U | T | +/− | xG +/− | P |
|---|---|---|---|---|---|---|---|---|
| 1 |
Paris SG
|
3 | 3 | 0 | 0 | +5 | +3.3 | 9 |
| 2 |
Lille
|
3 | 2 | 1 | 0 | +7 | +3.3 | 7 |
| 3 |
Lyon
|
2 | 2 | 0 | 0 | +4 | +2.2 | 6 |
| 4 |
Lens
|
3 | 2 | 0 | 1 | +2 | +2.1 | 6 |
| 5 |
Strasbourg
|
2 | 2 | 0 | 0 | +2 | +1.7 | 6 |
| 6 |
Toulouse
|
3 | 2 | 0 | 1 | +0 | -0.3 | 6 |
| 7 |
Angers
|
3 | 1 | 1 | 1 | +0 | -1.8 | 4 |
| 8 |
Rennes
|
3 | 1 | 1 | 1 | -3 | -3.0 | 4 |
| 9 |
Marseille
|
2 | 1 | 0 | 1 | +2 | +2.0 | 3 |
| 10 |
Monaco
|
2 | 1 | 0 | 1 | +1 | -0.5 | 3 |
| 11 |
Nice
|
2 | 1 | 0 | 1 | +1 | +0.6 | 3 |
| 12 |
Nantes
|
3 | 1 | 0 | 2 | -1 | -2.8 | 3 |
| 13 |
Auxerre
|
3 | 1 | 0 | 2 | -2 | -0.2 | 3 |
| 14 |
Lorient
|
3 | 1 | 0 | 2 | -3 | +0.9 | 3 |
| 15 |
Brest
|
3 | 0 | 1 | 2 | -4 | -2.8 | 1 |
| 16 |
Le Havre
|
2 | 0 | 0 | 2 | -3 | -0.3 | 0 |
| 17 |
Paris FC
|
2 | 0 | 0 | 2 | -4 | -1.8 | 0 |
| 18 |
Metz
|
2 | 0 | 0 | 2 | -4 | -2.5 | 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.
M. Diaw
G
A. Sangante
D
G. Lloris
D
Y. Zouaoui
D
A. Seko
M
F. Doucoure
M
Y. Kechta
M
R. Ndiaye
M
I. Soumare
M
A. Samatta
F
Coach: Didier Digard
Y. Diouf
G
A. Mendy
D
J. Bah
D
K. Peprah
D
T. Louchet
M
H. Boudaoui
M
M. Bard
M
I. Jansson
F
J. Boga
F
Kevin
F
Coach: Claude Puel
Green columns are the outcomes that came in.
Le Havre
Lens
Monaco
Le Havre
Strasbourg
Le Havre
Le Havre
Marseille
Auxerre
Le Havre
J Brisard · 168 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.