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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Lyon
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 |
Paris SG
|
24 | 16 | 7 | 1 | +35 | +21.4 | 55 |
| 2 |
Brest
|
24 | 13 | 7 | 4 | +17 | +9.2 | 46 |
| 3 |
Monaco
|
24 | 12 | 6 | 6 | +10 | +4.3 | 42 |
| 4 |
Lille
|
24 | 11 | 8 | 5 | +14 | +11.5 | 41 |
| 5 |
Nice
|
24 | 11 | 7 | 6 | +6 | +9.1 | 40 |
| 6 |
Marseille
|
24 | 9 | 9 | 6 | +12 | +18.2 | 36 |
| 7 |
Lens
|
23 | 10 | 6 | 7 | +6 | +2.1 | 36 |
| 8 |
Rennes
|
24 | 9 | 8 | 7 | +7 | +9.1 | 35 |
| 9 |
Reims
|
24 | 10 | 4 | 10 | -2 | +4.7 | 34 |
| 10 |
Toulouse
|
24 | 7 | 8 | 9 | -5 | -8.2 | 29 |
| 11 |
Lyon
|
23 | 8 | 4 | 11 | -10 | -5.5 | 28 |
| 12 |
Strasbourg
|
24 | 6 | 8 | 10 | -12 | -4.3 | 26 |
| 13 |
Lorient
|
24 | 6 | 7 | 11 | -12 | -11.2 | 25 |
| 14 |
Nantes
|
24 | 7 | 4 | 13 | -13 | -10.9 | 25 |
| 15 |
Montpellier
|
24 | 5 | 9 | 10 | -6 | -0.5 | 24 |
| 16 |
Le Havre
|
24 | 5 | 9 | 10 | -7 | -12.5 | 24 |
| 17 |
Metz
|
24 | 5 | 5 | 14 | -16 | -16.3 | 20 |
| 18 |
Clermont
|
24 | 3 | 8 | 13 | -24 | -20.3 | 17 |
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.
Anthony Lopes
G
A. Maitland-Niles
D
J. O'Brien
D
D. Ćaleta-Car
D
N. Tagliafico
D
M. Caqueret
M
N. Matić
M
O. Mangala
M
E. Nuamah
F
G. Orban
F
Coach: P. Sage
B. Samba
G
J. Gradit
D
K. Danso
D
F. Medina
D
R. Aguilar
M
N. Mendy
M
N. El Aynaoui
M
P. Frankowski
M
F. Sotoca
F
E. Wahi
F
Coach: F. Haise
Green columns are the outcomes that came in.
Lyon
Strasbourg
Metz
Lyon
Lyon
Nice
Montpellier
Lyon
Lyon
Lille
J Brisard · 168 kamper i vår database
🟥 Red cards: 0,30 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.