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: 3–0
| # | Team | K | V | U | T | +/− | xG +/− | P |
|---|---|---|---|---|---|---|---|---|
| 1 |
Paris SG
|
33 | 21 | 10 | 2 | +46 | +27.7 | 73 |
| 2 |
Monaco
|
33 | 19 | 7 | 7 | +22 | +12.1 | 64 |
| 3 |
Lille
|
33 | 16 | 10 | 7 | +18 | +12.6 | 58 |
| 4 |
Brest
|
33 | 16 | 10 | 7 | +16 | +8.4 | 58 |
| 5 |
Nice
|
33 | 15 | 9 | 9 | +11 | +15.0 | 54 |
| 6 |
Lens
|
33 | 14 | 8 | 11 | +8 | +2.4 | 50 |
| 7 |
Lyon
|
33 | 15 | 5 | 13 | -7 | -4.3 | 50 |
| 8 |
Marseille
|
33 | 12 | 11 | 10 | +10 | +20.3 | 47 |
| 9 |
Rennes
|
33 | 12 | 10 | 11 | +8 | +12.3 | 46 |
| 10 |
Reims
|
33 | 12 | 8 | 13 | -6 | -1.4 | 44 |
| 11 |
Toulouse
|
33 | 11 | 10 | 12 | -1 | -6.9 | 43 |
| 12 |
Montpellier
|
33 | 10 | 11 | 12 | -5 | -0.3 | 41 |
| 13 |
Strasbourg
|
33 | 10 | 9 | 14 | -11 | -2.7 | 39 |
| 14 |
Nantes
|
33 | 9 | 6 | 18 | -21 | -15.1 | 33 |
| 15 |
Le Havre
|
33 | 7 | 11 | 15 | -10 | -13.6 | 32 |
| 16 |
Metz
|
33 | 8 | 5 | 20 | -21 | -20.7 | 29 |
| 17 |
Lorient
|
33 | 6 | 8 | 19 | -28 | -21.0 | 26 |
| 18 |
Clermont
|
33 | 5 | 10 | 18 | -29 | -24.8 | 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.
T. Kehrer
D
M. Salisu
D
Caio Henrique
D
M. Coulibaly
M
S. Magassa
M
E. Ben Seghir
M
F. Balogun
F
Coach: A. Hütter
A. Lafont
G
K. Amian
D
N. Cozza
D
E. Cömert
M
S. Moutoussamy
M
M. Abline
M
Coach: A. Kombouare
Green columns are the outcomes that came in.
Montpellier
Monaco
Monaco
Clermont
Lyon
Monaco
Monaco
Lille
Brest
Monaco
R Lissorgue · 97 kamper i vår database
🟥 Red cards: 0,24 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.