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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Auxerre
Monaco
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: 0–1
| # | Team | K | V | U | T | +/− | xG +/− | P |
|---|---|---|---|---|---|---|---|---|
| 1 |
Paris SG
|
3 | 3 | 0 | 0 | +5 | +3.3 | 9 |
| 2 |
Lyon
|
3 | 3 | 0 | 0 | +5 | +4.5 | 9 |
| 3 |
Lille
|
3 | 2 | 1 | 0 | +7 | +3.3 | 7 |
| 4 |
Marseille
|
4 | 2 | 0 | 2 | +5 | +1.8 | 6 |
| 5 |
Monaco
|
3 | 2 | 0 | 1 | +2 | -0.2 | 6 |
| 6 |
Lens
|
3 | 2 | 0 | 1 | +2 | +2.1 | 6 |
| 7 |
Strasbourg
|
3 | 2 | 0 | 1 | +1 | +1.3 | 6 |
| 8 |
Toulouse
|
3 | 2 | 0 | 1 | +0 | -0.3 | 6 |
| 9 |
Nice
|
4 | 2 | 0 | 2 | +0 | -0.3 | 6 |
| 10 |
Angers
|
3 | 1 | 1 | 1 | +0 | -1.8 | 4 |
| 11 |
Rennes
|
3 | 1 | 1 | 1 | -3 | -3.0 | 4 |
| 12 |
Le Havre
|
3 | 1 | 0 | 2 | -1 | +1.6 | 3 |
| 13 |
Auxerre
|
3 | 1 | 0 | 2 | -2 | -0.2 | 3 |
| 14 |
Nantes
|
4 | 1 | 0 | 3 | -2 | -3.8 | 3 |
| 15 |
Paris FC
|
3 | 1 | 0 | 2 | -3 | -0.4 | 3 |
| 16 |
Lorient
|
4 | 1 | 0 | 3 | -7 | -1.2 | 3 |
| 17 |
Brest
|
3 | 0 | 1 | 2 | -4 | -2.8 | 1 |
| 18 |
Metz
|
3 | 0 | 0 | 3 | -5 | -3.9 | 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.
J. Casimir
D
T. Siwe
D
G. Mensah
D
F. Oppegard
D
L. Sinayoko
M
E. Owusu
M
K. Danois
M
D. Namaso
M
S. Mara
F
Coach: Christophe Pelissier
P. Kohn
G
Vanderson
D
T. Kehrer
D
M. Salisu
D
K. Ouattara
D
M. Akliouche
M
A. Bamba
M
D. Zakaria
M
T. Minamino
M
M. Biereth
F
F. Balogun
F
Coach: Sebastien Pocognoli
Green columns are the outcomes that came in.
Nantes
Auxerre
Nice
Auxerre
Auxerre
Lorient
Paris SG
Auxerre
Auxerre
Nantes
R Lissorgue · 97 kamper i vår database
🟥 Red cards: 0,24 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.