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
Auxerre
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: 0–3
| # | Team | K | V | U | T | +/− | xG +/− | P |
|---|---|---|---|---|---|---|---|---|
| 1 |
Paris SG
|
10 | 8 | 2 | 0 | +21 | +19.2 | 26 |
| 2 |
Marseille
|
10 | 6 | 2 | 2 | +11 | -2.0 | 20 |
| 3 |
Monaco
|
10 | 6 | 2 | 2 | +8 | +9.8 | 20 |
| 4 |
Lille
|
10 | 5 | 3 | 2 | +7 | +4.4 | 18 |
| 5 |
Nice
|
10 | 4 | 4 | 2 | +10 | +6.0 | 16 |
| 6 |
Lyon
|
10 | 4 | 3 | 3 | +2 | +3.9 | 15 |
| 7 |
Lens
|
10 | 3 | 5 | 2 | +2 | +2.2 | 14 |
| 8 |
Reims
|
10 | 4 | 2 | 4 | +1 | -4.0 | 14 |
| 9 |
Strasbourg
|
10 | 3 | 4 | 3 | +0 | -0.9 | 13 |
| 10 |
Auxerre
|
10 | 4 | 1 | 5 | -1 | -1.8 | 13 |
| 11 |
Brest
|
10 | 4 | 1 | 5 | -3 | -6.0 | 13 |
| 12 |
Toulouse
|
10 | 3 | 3 | 4 | +0 | +6.6 | 12 |
| 13 |
Rennes
|
10 | 3 | 2 | 5 | -3 | -1.0 | 11 |
| 14 |
Nantes
|
10 | 2 | 4 | 4 | -2 | -2.4 | 10 |
| 15 |
Angers
|
10 | 2 | 4 | 4 | -5 | -4.9 | 10 |
| 16 |
St Etienne
|
10 | 3 | 1 | 6 | -14 | -8.8 | 10 |
| 17 |
Le Havre
|
10 | 3 | 0 | 7 | -12 | -6.8 | 9 |
| 18 |
Montpellier
|
10 | 1 | 1 | 8 | -22 | -13.3 | 4 |
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
L. Balerdi
D
L. Brassier
D
Q. Merlin
D
A. Rabiot
M
P. Højbjerg
M
M. Greenwood
M
Luis Henrique
M
J. Rowe
M
N. Maupay
F
Coach: R. De Zerbi
G. Osho
D
R. Raveloson
D
C. Akpa
D
E. Owusu
M
K. Danois
M
G. Mensah
M
G. Perrin
F
H. Traoré
F
L. Sinayoko
F
Coach: C. Pélissier
Green columns are the outcomes that came in.
Nantes
Marseille
Marseille
Paris SG
Montpellier
Marseille
Marseille
Angers
Strasbourg
Marseille
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.