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
Le Havre
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
|
27 | 18 | 8 | 1 | +41 | +21.3 | 62 |
| 2 |
Brest
|
27 | 14 | 8 | 5 | +17 | +8.6 | 50 |
| 3 |
Lille
|
28 | 13 | 10 | 5 | +17 | +14.4 | 49 |
| 4 |
Monaco
|
27 | 14 | 7 | 6 | +14 | +7.6 | 49 |
| 5 |
Nice
|
27 | 12 | 7 | 8 | +6 | +9.6 | 43 |
| 6 |
Lens
|
27 | 12 | 6 | 9 | +7 | +1.5 | 42 |
| 7 |
Marseille
|
28 | 10 | 9 | 9 | +8 | +16.5 | 39 |
| 8 |
Rennes
|
27 | 10 | 9 | 8 | +7 | +6.9 | 39 |
| 9 |
Reims
|
27 | 11 | 6 | 10 | -1 | +5.5 | 39 |
| 10 |
Lyon
|
27 | 10 | 5 | 12 | -10 | -5.8 | 35 |
| 11 |
Toulouse
|
27 | 8 | 8 | 11 | -4 | -7.0 | 32 |
| 12 |
Strasbourg
|
27 | 8 | 8 | 11 | -9 | -2.9 | 32 |
| 13 |
Montpellier
|
27 | 7 | 9 | 11 | -7 | +1.3 | 30 |
| 14 |
Nantes
|
27 | 8 | 4 | 15 | -16 | -11.7 | 28 |
| 15 |
Le Havre
|
27 | 6 | 9 | 12 | -9 | -12.4 | 27 |
| 16 |
Lorient
|
27 | 6 | 8 | 13 | -15 | -14.2 | 26 |
| 17 |
Metz
|
27 | 6 | 5 | 16 | -19 | -17.3 | 23 |
| 18 |
Clermont
|
27 | 4 | 8 | 15 | -27 | -21.9 | 20 |
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
R. Aguilar
M
A. Diouf
M
P. Frankowski
M
F. Sotoca
F
E. Wahi
F
Coach: F. Haise
A. Sangante
D
É. Youté
D
G. Lloris
D
O. Targhalline
M
C. Opéri
M
Y. Kechta
F
Coach: L. Elsner
Green columns are the outcomes that came in.
Lille
Lens
Lens
Nice
Lens
Brest
Lyon
Lens
Lens
Monaco
F Letexier · 176 kamper i vår database
🟥 Red cards: 0,25 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.