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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Lorient
Nice
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: 2–1
| # | Team | K | V | U | T | +/− | xG +/− | P |
|---|---|---|---|---|---|---|---|---|
| 1 |
Paris SG
|
14 | 9 | 3 | 2 | +15 | +12.5 | 30 |
| 2 |
Marseille
|
14 | 9 | 2 | 3 | +21 | +13.2 | 29 |
| 3 |
Lens
|
13 | 9 | 1 | 3 | +11 | +4.5 | 28 |
| 4 |
Rennes
|
14 | 6 | 6 | 2 | +6 | -0.5 | 24 |
| 5 |
Lille
|
13 | 7 | 2 | 4 | +10 | +9.5 | 23 |
| 6 |
Monaco
|
14 | 7 | 2 | 5 | +1 | +4.1 | 23 |
| 7 |
Strasbourg
|
14 | 7 | 1 | 6 | +6 | +6.8 | 22 |
| 8 |
Lyon
|
13 | 6 | 3 | 4 | +3 | +5.8 | 21 |
| 9 |
Toulouse
|
14 | 4 | 5 | 5 | +1 | +0.8 | 17 |
| 10 |
Nice
|
13 | 5 | 2 | 6 | -5 | -9.9 | 17 |
| 11 |
Angers
|
13 | 4 | 4 | 5 | -4 | -12.1 | 16 |
| 12 |
Brest
|
14 | 4 | 4 | 6 | -5 | +0.7 | 16 |
| 13 |
Paris FC
|
14 | 4 | 3 | 7 | -5 | -3.1 | 15 |
| 14 |
Le Havre
|
13 | 3 | 5 | 5 | -7 | -1.7 | 14 |
| 15 |
Nantes
|
13 | 2 | 5 | 6 | -7 | -11.0 | 11 |
| 16 |
Lorient
|
13 | 2 | 5 | 6 | -12 | -2.8 | 11 |
| 17 |
Metz
|
14 | 3 | 2 | 9 | -17 | -10.8 | 11 |
| 18 |
Auxerre
|
14 | 2 | 3 | 9 | -12 | -6.2 | 9 |
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.
Y. Mvogo
G
B. Meite
D
M. Talbi
D
D. Yongwa
D
T. Le Bris
M
A. Avom
M
A. Kouassi
M
J. Makengo
F
P. Pagis
F
S. Soumano
F
Coach: Olivier Pantaloni
Y. Diouf
G
A. Mendy
D
K. Peprah
D
M. Bard
D
J. Clauss
M
T. Louchet
M
S. Diop
M
T. Gouveia
M
M. Cho
F
T. Moffi
F
Coach: Franck Armel Gérard Haise
Green columns are the outcomes that came in.
Nantes
Lorient
Lorient
Toulouse
Lens
Lorient
Lorient
Paris SG
Angers
Lorient
The analysis is a statistical estimate based on the teams' results and underlying performances (xG) — not a guarantee. See the model's results.