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
Brest
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 | +/− | P |
|---|---|---|---|---|---|---|---|
| 1 |
Paris SG
|
26 | 19 | 5 | 2 | +33 | 62 |
| 2 |
Nice
|
26 | 14 | 5 | 7 | +16 | 47 |
| 3 |
Marseille
|
26 | 13 | 8 | 5 | +15 | 47 |
| 4 |
Rennes
|
26 | 13 | 4 | 9 | +26 | 43 |
| 5 |
Strasbourg
|
26 | 12 | 7 | 7 | +17 | 43 |
| 6 |
Lyon
|
27 | 11 | 9 | 7 | +5 | 42 |
| 7 |
Lens
|
26 | 11 | 7 | 8 | +5 | 40 |
| 8 |
Nantes
|
26 | 11 | 6 | 9 | +5 | 39 |
| 9 |
Lille
|
26 | 10 | 9 | 7 | -2 | 39 |
| 10 |
Monaco
|
26 | 10 | 8 | 8 | +10 | 38 |
| 11 |
Montpellier
|
26 | 11 | 4 | 11 | +3 | 37 |
| 12 |
Brest
|
26 | 8 | 8 | 10 | -4 | 32 |
| 13 |
Reims
|
26 | 7 | 10 | 9 | +0 | 31 |
| 14 |
Angers
|
26 | 7 | 8 | 11 | -7 | 29 |
| 15 |
Clermont
|
26 | 7 | 7 | 12 | -15 | 28 |
| 16 |
Lorient
|
27 | 5 | 9 | 13 | -21 | 24 |
| 17 |
Troyes
|
26 | 5 | 7 | 14 | -18 | 22 |
| 18 |
Metz
|
26 | 4 | 10 | 12 | -20 | 22 |
| 19 |
St Etienne
|
26 | 5 | 7 | 14 | -23 | 22 |
| 20 |
Bordeaux
|
26 | 4 | 10 | 12 | -25 | 22 |
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. Haïdara
M
J. Clauss
M
J. Gradit
D
K. Danso
D
F. Medina
D
S. Fofana
M
C. Doucouré
M
F. Sotoca
F
A. Kalimuendo-Muinga
F
Coach: F. Haise
M. Bizot
G
J. Uronen
M
L. Brassier
D
H. Belkebla
M
L. Agoume
M
F. Honorat
M
R. Del Castillo
F
J. Le Douaron
F
M. Satriano
Coach: M. Der Zakarian
Green columns are the outcomes that came in.
Angers
Lens
Lens
Lyon
Lens
Bordeaux
Lorient
Lens
Lens
Marseille
J Hamel · 72 kamper i vår database
🟥 Red cards: 0,32 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.