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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Monaco
Nantes
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
|
21 | 16 | 5 | 0 | +38 | +35.9 | 53 |
| 2 |
Marseille
|
22 | 14 | 4 | 4 | +24 | +13.8 | 46 |
| 3 |
Nice
|
21 | 10 | 7 | 4 | +15 | +12.6 | 37 |
| 4 |
Monaco
|
21 | 11 | 4 | 6 | +9 | +19.8 | 37 |
| 5 |
Lille
|
21 | 9 | 8 | 4 | +12 | +7.1 | 35 |
| 6 |
Lyon
|
21 | 9 | 6 | 6 | +10 | +7.1 | 33 |
| 7 |
Lens
|
21 | 9 | 6 | 6 | +5 | +9.0 | 33 |
| 8 |
Brest
|
22 | 10 | 2 | 10 | -3 | -9.6 | 32 |
| 9 |
Strasbourg
|
21 | 8 | 6 | 7 | +3 | -6.9 | 30 |
| 10 |
Toulouse
|
21 | 7 | 6 | 8 | -1 | +8.4 | 27 |
| 11 |
Auxerre
|
22 | 6 | 7 | 9 | -6 | -12.7 | 25 |
| 12 |
Rennes
|
21 | 7 | 2 | 12 | -1 | +2.4 | 23 |
| 13 |
Angers
|
21 | 6 | 5 | 10 | -9 | -7.5 | 23 |
| 14 |
Reims
|
21 | 5 | 7 | 9 | -7 | -11.2 | 22 |
| 15 |
Nantes
|
21 | 4 | 9 | 8 | -8 | -8.5 | 21 |
| 16 |
St Etienne
|
22 | 5 | 3 | 14 | -30 | -28.2 | 18 |
| 17 |
Le Havre
|
21 | 5 | 2 | 14 | -23 | -14.4 | 17 |
| 18 |
Montpellier
|
21 | 4 | 3 | 14 | -28 | -17.1 | 15 |
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.
Vanderson
D
T. Kehrer
D
C. Mawissa
D
Caio Henrique
D
L. Camara
M
D. Zakaria
M
M. Akliouche
M
T. Minamino
M
E. Ben Seghir
M
M. Biereth
F
Coach: A. Hütter
Anthony Lopes
G
K. Amian
D
S. Sow
D
N. Cozza
D
J. Lepenant
M
Pedro Chirivella
M
M. Abline
F
M. Simon
F
Coach: A. Kombouare
Green columns are the outcomes that came in.
Monaco
Benfica
Paris SG
Monaco
Monaco
Auxerre
Inter
Monaco
Monaco
Rennes
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.