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
Lorient
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 |
Paris SG
|
31 | 20 | 10 | 1 | +47 | +27.5 | 70 |
| 2 |
Monaco
|
31 | 17 | 7 | 7 | +17 | +8.6 | 58 |
| 3 |
Brest
|
31 | 16 | 8 | 7 | +16 | +8.7 | 56 |
| 4 |
Lille
|
31 | 15 | 10 | 6 | +18 | +13.3 | 55 |
| 5 |
Nice
|
31 | 14 | 9 | 8 | +11 | +13.3 | 51 |
| 6 |
Lens
|
31 | 13 | 7 | 11 | +6 | +2.0 | 46 |
| 7 |
Marseille
|
31 | 11 | 11 | 9 | +9 | +18.4 | 44 |
| 8 |
Lyon
|
31 | 13 | 5 | 13 | -9 | -5.0 | 44 |
| 9 |
Rennes
|
31 | 11 | 9 | 11 | +7 | +9.4 | 42 |
| 10 |
Montpellier
|
32 | 10 | 11 | 11 | -3 | +0.9 | 41 |
| 11 |
Toulouse
|
32 | 10 | 10 | 12 | -3 | -6.2 | 40 |
| 12 |
Reims
|
31 | 11 | 7 | 13 | -7 | -0.1 | 40 |
| 13 |
Strasbourg
|
31 | 9 | 9 | 13 | -10 | -2.2 | 36 |
| 14 |
Nantes
|
31 | 9 | 5 | 17 | -20 | -15.3 | 32 |
| 15 |
Le Havre
|
31 | 6 | 11 | 14 | -11 | -13.1 | 29 |
| 16 |
Metz
|
31 | 8 | 5 | 18 | -19 | -18.8 | 29 |
| 17 |
Lorient
|
31 | 6 | 8 | 17 | -24 | -18.1 | 26 |
| 18 |
Clermont
|
31 | 5 | 10 | 16 | -25 | -23.3 | 25 |
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. Mendy
M
F. Sotoca
F
E. Wahi
F
Coach: F. Haise
Y. Mvogo
G
N. Adjei
D
M. Talbi
D
J. Laporte
D
P. Katseris
M
B. Mendy
M
I. Louza
F
J. Ponceau
F
Coach: R. Le Bris
Green columns are the outcomes that came in.
Marseille
Lens
Lens
Clermont
Metz
Lens
Lens
Le Havre
Lille
Lens
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.