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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Lens
Nantes
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: 1–1
| # | Team | K | V | U | T | +/− | xG +/− | P |
|---|---|---|---|---|---|---|---|---|
| 1 |
Paris SG
|
10 | 8 | 2 | 0 | +21 | +19.2 | 26 |
| 2 |
Monaco
|
11 | 7 | 2 | 2 | +10 | +12.8 | 23 |
| 3 |
Marseille
|
11 | 6 | 2 | 3 | +9 | -1.3 | 20 |
| 4 |
Lille
|
10 | 5 | 3 | 2 | +7 | +4.4 | 18 |
| 5 |
Nice
|
10 | 4 | 4 | 2 | +10 | +6.0 | 16 |
| 6 |
Auxerre
|
11 | 5 | 1 | 5 | +1 | -2.5 | 16 |
| 7 |
Lyon
|
10 | 4 | 3 | 3 | +2 | +3.9 | 15 |
| 8 |
Lens
|
10 | 3 | 5 | 2 | +2 | +2.2 | 14 |
| 9 |
Reims
|
10 | 4 | 2 | 4 | +1 | -4.0 | 14 |
| 10 |
Strasbourg
|
11 | 3 | 4 | 4 | -2 | -4.0 | 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.
B. Samba
G
J. Gradit
D
K. Danso
D
F. Medina
D
P. Frankowski
M
N. El Aynaoui
M
A. Thomasson
M
A. Diouf
F
R. Labeau Lascary
F
Coach: W. Still
A. Lafont
G
K. Amian
M
Pedro Chirivella
M
N. Cozza
M
M. Abline
F
Mostafa Mohamed
F
M. Simon
F
Coach: A. Kombouare
Green columns are the outcomes that came in.
Paris SG
Lens
Lens
Lille
St Etienne
Lens
Strasbourg
Lens
Lens
Nice
C Turpin · 184 kamper i vår database
🟥 Red cards: 0,20 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.