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
Lens
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 |
Marseille
|
7 | 5 | 0 | 2 | +10 | +5.5 | 15 |
| 2 |
Paris SG
|
6 | 5 | 0 | 1 | +8 | +3.8 | 15 |
| 3 |
Lyon
|
6 | 5 | 0 | 1 | +5 | +3.7 | 15 |
| 4 |
Monaco
|
6 | 4 | 0 | 2 | +4 | +0.8 | 12 |
| 5 |
Strasbourg
|
6 | 4 | 0 | 2 | +2 | +2.2 | 12 |
| 6 |
Lille
|
6 | 3 | 1 | 2 | +4 | +4.0 | 10 |
| 7 |
Lens
|
6 | 3 | 1 | 2 | +3 | +3.6 | 10 |
| 8 |
Paris FC
|
7 | 3 | 1 | 3 | -1 | -1.3 | 10 |
| 9 |
Rennes
|
6 | 2 | 3 | 1 | -1 | -3.1 | 9 |
| 10 |
Brest
|
7 | 2 | 2 | 3 | +0 | +0.3 | 8 |
| 11 |
Toulouse
|
6 | 2 | 1 | 3 | -2 | +0.5 | 7 |
| 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
|
6 | 2 | 0 | 4 | -4 | -3.5 | 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.
J. Casimir
D
C. Akpa
D
G. Mensah
D
L. Sinayoko
M
E. Owusu
M
K. Danois
M
D. Namaso
M
S. Mara
F
Coach: Christophe Pélissier
R. Risser
G
I. Ganiou
D
R. Aguilar
M
M. Sangare
M
A. Thomasson
M
M. Udol
M
F. Thauvin
F
O. Edouard
F
Coach: Pierre Sage
Green columns are the outcomes that came in.
Paris SG
Auxerre
Auxerre
Toulouse
Auxerre
Monaco
Nantes
Auxerre
Nice
Auxerre
François Letexier · 69 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.