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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Monaco
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: 1–2
| # | 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 |
Lyon
|
7 | 5 | 0 | 2 | +4 | +3.7 | 15 |
| 4 |
Lens
|
7 | 4 | 1 | 2 | +4 | +2.3 | 13 |
| 5 |
Monaco
|
6 | 4 | 0 | 2 | +4 | +0.8 | 12 |
| 6 |
Strasbourg
|
6 | 4 | 0 | 2 | +2 | +2.2 | 12 |
| 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
|
6 | 2 | 3 | 1 | -1 | -3.1 | 9 |
| 11 |
Brest
|
7 | 2 | 2 | 3 | +0 | +0.3 | 8 |
| 12 |
Nice
|
6 | 2 | 1 | 3 | -3 | -0.9 | 7 |
| 13 |
Lorient
|
7 | 2 | 1 | 4 | -7 | -1.5 | 7 |
| 14 |
Nantes
|
7 | 1 | 3 | 3 | -2 | -5.1 | 6 |
| 15 |
Auxerre
|
7 | 2 | 0 | 5 | -5 | -2.2 | 6 |
| 16 |
Le Havre
|
6 | 1 | 2 | 3 | -2 | +1.9 | 5 |
| 17 |
Angers
|
6 | 1 | 2 | 3 | -3 | -2.9 | 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.
P. Kohn
G
E. Dier
D
M. Salisu
D
K. Ouattara
D
J. Teze
M
M. Coulibaly
M
M. Akliouche
M
T. Minamino
M
M. Biereth
F
Coach: Adi Hütter
Y. Diouf
G
A. Mendy
D
M. Bard
D
J. Clauss
M
H. Boudaoui
M
C. Vanhoutte
M
A. Abdi
M
M. Cho
F
T. Moffi
F
S. Diop
F
Coach: Franck Armel Gérard Haise
Green columns are the outcomes that came in.
Monaco
Man City
Lorient
Monaco
Monaco
Metz
Club Brugge
Monaco
Auxerre
Monaco
Willy Delajod · 19 kamper i vår database
🟥 Red cards: 0,17 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.