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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Clermont
Paris SG
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 |
Brest
|
6 | 4 | 1 | 1 | +2 | +3.0 | 13 |
| 2 |
Nice
|
6 | 3 | 3 | 0 | +4 | +3.9 | 12 |
| 3 |
Paris SG
|
6 | 3 | 2 | 1 | +8 | +6.3 | 11 |
| 4 |
Monaco
|
6 | 3 | 2 | 1 | +7 | +5.7 | 11 |
| 5 |
Reims
|
6 | 3 | 1 | 2 | +3 | +1.4 | 10 |
| 6 |
Strasbourg
|
7 | 3 | 1 | 3 | -2 | +0.2 | 10 |
| 7 |
Le Havre
|
6 | 2 | 3 | 1 | +3 | -2.3 | 9 |
| 8 |
Marseille
|
6 | 2 | 3 | 1 | -1 | +4.3 | 9 |
| 9 |
Rennes
|
6 | 1 | 5 | 0 | +4 | +4.9 | 8 |
| 10 |
Nantes
|
6 | 2 | 2 | 2 | +0 | -5.3 | 8 |
| 11 |
Lille
|
6 | 2 | 2 | 2 | -1 | +3.2 | 8 |
| 12 |
Metz
|
6 | 2 | 2 | 2 | -3 | -5.5 | 8 |
| 13 |
Lens
|
7 | 2 | 1 | 4 | -5 | +0.6 | 7 |
| 14 |
Montpellier
|
6 | 1 | 3 | 2 | +0 | +1.0 | 6 |
| 15 |
Lorient
|
6 | 1 | 3 | 2 | -2 | -4.2 | 6 |
| 16 |
Toulouse
|
6 | 1 | 3 | 2 | -2 | -7.7 | 6 |
| 17 |
Lyon
|
6 | 0 | 2 | 4 | -8 | -7.4 | 2 |
| 18 |
Clermont
|
6 | 0 | 1 | 5 | -7 | -2.0 | 1 |
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.
M. Diaw
G
A. Seidu
D
A. Pelmard
D
C. Konaté
M
Y. Magnin
M
J. Allevinah
M
Coach: P. Gastien
G. Donnarumma
G
M. Škriniar
D
Marquinhos
D
A. Hakimi
M
Vitinha
M
Fabián Ruiz
M
B. Barcola
M
O. Dembélé
F
R. Kolo Muani
F
K. Mbappé
F
Coach: Luis Enrique
Green columns are the outcomes that came in.
Le Havre
Clermont
Clermont
Nantes
Toulouse
Clermont
Clermont
Metz
Reims
Clermont
M Bollengier · 79 kamper i vår database
🟥 Red cards: 0,22 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.