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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Brest
Lyon
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: 0–0
| # | Team | K | V | U | T | +/− | xG +/− | P |
|---|---|---|---|---|---|---|---|---|
| 1 |
Nice
|
6 | 3 | 3 | 0 | +4 | +3.9 | 12 |
| 2 |
Monaco
|
6 | 3 | 2 | 1 | +7 | +5.7 | 11 |
| 3 |
Brest
|
5 | 3 | 1 | 1 | +1 | +0.9 | 10 |
| 4 |
Marseille
|
5 | 2 | 3 | 0 | +3 | +5.6 | 9 |
| 5 |
Paris SG
|
5 | 2 | 2 | 1 | +4 | +5.0 | 8 |
| 6 |
Nantes
|
6 | 2 | 2 | 2 | +0 | -5.3 | 8 |
| 7 |
Lille
|
5 | 2 | 2 | 1 | +0 | +2.5 | 8 |
| 8 |
Metz
|
5 | 2 | 2 | 1 | -2 | -6.2 | 8 |
| 9 |
Rennes
|
5 | 1 | 4 | 0 | +4 | +5.5 | 7 |
| 10 |
Reims
|
5 | 2 | 1 | 2 | +2 | +2.1 | 7 |
| 11 |
Strasbourg
|
5 | 2 | 1 | 2 | -2 | +1.4 | 7 |
| 12 |
Le Havre
|
5 | 1 | 3 | 1 | +2 | -2.6 | 6 |
| 13 |
Toulouse
|
5 | 1 | 3 | 1 | -1 | -5.7 | 6 |
| 14 |
Lorient
|
6 | 1 | 3 | 2 | -2 | -4.2 | 6 |
| 15 |
Montpellier
|
5 | 1 | 2 | 2 | +0 | +0.3 | 5 |
| 16 |
Lyon
|
5 | 0 | 2 | 3 | -7 | -5.4 | 2 |
| 17 |
Clermont
|
5 | 0 | 1 | 4 | -6 | -1.7 | 1 |
| 18 |
Lens
|
5 | 0 | 1 | 4 | -7 | -1.9 | 1 |
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.
M. Bizot
G
K. Lala
D
L. Brassier
D
B. Locko
D
P. Lees-Melou
M
H. Magnetti
M
R. Del Castillo
M
M. Camara
M
J. Le Douaron
M
M. Satriano
F
Coach: E. Roy
Anthony Lopes
G
S. Kumbedi
D
Clinton Mata
D
S. Diomandé
D
N. Tagliafico
D
E. Nuamah
M
M. Caqueret
M
C. Tolisso
M
Diego Moreira
M
Coach: J. Vulliez
Green columns are the outcomes that came in.
Reims
Brest
Brest
Rennes
Marseille
Brest
Le Havre
Brest
Brest
Lens
T Léonard · 142 kamper i vår database
🟥 Red cards: 0,23 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.