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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Marseille
Paris FC
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: 2–1
| # | Team | K | V | U | T | +/− | xG +/− | P |
|---|---|---|---|---|---|---|---|---|
| 1 |
Paris SG
|
2 | 2 | 0 | 0 | +2 | +2.9 | 6 |
| 2 |
Monaco
|
1 | 1 | 0 | 0 | +2 | +1.2 | 3 |
| 3 |
Rennes
|
1 | 1 | 0 | 0 | +1 | -0.2 | 3 |
| 4 |
Toulouse
|
1 | 1 | 0 | 0 | +1 | -0.2 | 3 |
| 5 |
Strasbourg
|
1 | 1 | 0 | 0 | +1 | +0.3 | 3 |
| 6 |
Lyon
|
1 | 1 | 0 | 0 | +1 | +0.0 | 3 |
| 7 |
Auxerre
|
1 | 1 | 0 | 0 | +1 | +0.1 | 3 |
| 8 |
Angers
|
2 | 1 | 0 | 1 | +0 | -1.6 | 3 |
| 9 |
Brest
|
1 | 0 | 1 | 0 | +0 | +0.4 | 1 |
| 10 |
Lille
|
1 | 0 | 1 | 0 | +0 | -0.4 | 1 |
| 11 |
Paris FC
|
1 | 0 | 0 | 1 | -1 | -0.0 | 0 |
| 12 |
Marseille
|
1 | 0 | 0 | 1 | -1 | +0.2 | 0 |
| 13 |
Nice
|
1 | 0 | 0 | 1 | -1 | +0.2 | 0 |
| 14 |
Nantes
|
1 | 0 | 0 | 1 | -1 | -1.3 | 0 |
| 15 |
Metz
|
1 | 0 | 0 | 1 | -1 | -0.3 | 0 |
| 16 |
Lens
|
1 | 0 | 0 | 1 | -1 | -0.0 | 0 |
| 17 |
Lorient
|
1 | 0 | 0 | 1 | -1 | -0.1 | 0 |
| 18 |
Le Havre
|
1 | 0 | 0 | 1 | -2 | -1.2 | 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.
G. Rulli
G
M. Murillo
D
C. Egan-Riley
D
L. Balerdi
D
U. Garcia
D
A. Gomes
M
P. Hojbjerg
M
M. Greenwood
M
A. Gouiri
M
T. Weah
M
P. Aubameyang
F
Coach: Habib Beye
O. Nkambadio
G
S. Chergui
D
M. Mbow
D
Otavio
D
M. Lopez
M
V. Marchetti
M
A. Camara
M
I. Kebbal
F
W. Geubbels
F
M. Simon
F
Coach: Antoine Kombouare
Green columns are the outcomes that came in.
Rennes
Marseille
Marseille
Rennes
Le Havre
Marseille
Lille
Marseille
Marseille
Brest
M Bollengier · 79 kamper i vår database
🟥 Red cards: 0,22 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.