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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Paris FC
Marseille
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 |
Lens
|
20 | 15 | 1 | 4 | +18 | +12.0 | 46 |
| 2 |
Paris SG
|
19 | 14 | 3 | 2 | +26 | +18.6 | 45 |
| 3 |
Marseille
|
19 | 12 | 2 | 5 | +24 | +12.0 | 38 |
| 4 |
Lyon
|
19 | 11 | 3 | 5 | +12 | +9.7 | 36 |
| 5 |
Lille
|
19 | 10 | 2 | 7 | +5 | +5.1 | 32 |
| 6 |
Rennes
|
19 | 8 | 7 | 4 | +3 | +1.7 | 31 |
| 7 |
Strasbourg
|
19 | 9 | 3 | 7 | +9 | +6.5 | 30 |
| 8 |
Toulouse
|
19 | 8 | 5 | 6 | +8 | +1.6 | 29 |
| 9 |
Lorient
|
19 | 6 | 7 | 6 | -5 | +1.4 | 25 |
| 10 |
Monaco
|
19 | 7 | 3 | 9 | -5 | +3.0 | 24 |
| 11 |
Angers
|
19 | 6 | 5 | 8 | -5 | -13.9 | 23 |
| 12 |
Brest
|
19 | 6 | 4 | 9 | -7 | +0.7 | 22 |
| 13 |
Nice
|
19 | 6 | 3 | 10 | -11 | -10.8 | 21 |
| 14 |
Paris FC
|
19 | 5 | 5 | 9 | -8 | -5.9 | 20 |
| 15 |
Le Havre
|
20 | 4 | 8 | 8 | -9 | -5.7 | 20 |
| 16 |
Nantes
|
19 | 3 | 5 | 11 | -16 | -12.7 | 14 |
| 17 |
Auxerre
|
19 | 3 | 3 | 13 | -15 | -7.5 | 12 |
| 18 |
Metz
|
19 | 3 | 3 | 13 | -24 | -15.8 | 12 |
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.
K. Trapp
G
M. Mbow
D
Otavio
D
I. Kebbal
M
M. Lopez
M
A. Camara
M
M. Simon
M
J. Krasso
F
Coach: Antoine Kombouare
G. Rulli
G
L. Balerdi
D
N. Aguerd
D
F. Medina
D
T. Weah
M
P. Hojbjerg
M
Q. Timber
M
I. Paixao
M
E. Nwaneri
F
M. Greenwood
F
P. Aubameyang
F
Coach: Habib Beye
Green columns are the outcomes that came in.
Paris FC
Angers
Nantes
Paris FC
Paris SG
Paris FC
Paris SG
Paris FC
Raon l'Etape
Paris FC
J Pignard · 145 kamper i vår database
🟥 Red cards: 0,29 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.