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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Metz
Reims
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: 1–1
| # | Team | K | V | U | T | +/− | xG +/− | P |
|---|---|---|---|---|---|---|---|---|
| 1 |
Monaco
|
4 | 3 | 1 | 0 | +8 | +3.8 | 10 |
| 2 |
Marseille
|
4 | 2 | 2 | 0 | +3 | +4.8 | 8 |
| 3 |
Brest
|
4 | 2 | 1 | 1 | +0 | +1.3 | 7 |
| 4 |
Rennes
|
4 | 1 | 3 | 0 | +4 | +6.1 | 6 |
| 5 |
Reims
|
3 | 2 | 0 | 1 | +3 | +2.1 | 6 |
| 6 |
Strasbourg
|
3 | 2 | 0 | 1 | +0 | +2.0 | 6 |
| 7 |
Lorient
|
3 | 1 | 2 | 0 | +3 | -1.6 | 5 |
| 8 |
Paris SG
|
3 | 1 | 2 | 0 | +2 | +3.1 | 5 |
| 9 |
Toulouse
|
4 | 1 | 2 | 1 | -1 | -5.0 | 5 |
| 10 |
Montpellier
|
3 | 1 | 1 | 1 | +1 | +2.6 | 4 |
| 11 |
Lille
|
3 | 1 | 1 | 1 | -1 | +1.1 | 4 |
| 12 |
Metz
|
3 | 1 | 1 | 1 | -3 | -4.8 | 4 |
| 13 |
Nice
|
3 | 0 | 3 | 0 | +0 | +2.5 | 3 |
| 14 |
Le Havre
|
3 | 0 | 2 | 1 | -1 | -3.2 | 2 |
| 15 |
Nantes
|
4 | 0 | 2 | 2 | -3 | -5.4 | 2 |
| 16 |
Lyon
|
3 | 0 | 1 | 2 | -4 | -3.8 | 1 |
| 17 |
Clermont
|
4 | 0 | 1 | 3 | -5 | -2.0 | 1 |
| 18 |
Lens
|
4 | 0 | 1 | 3 | -6 | -3.6 | 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.
S. Sané
D
M. Udol
D
J. Asoro
M
L. Camara
M
Coach: L. Bölöni
Y. Diouf
G
E. Agbadou
D
T. De Smet
D
M. Munetsi
M
J. Ito
F
O. Diakité
F
M. Daramy
F
Coach: W. Still
Green columns are the outcomes that came in.
Clermont
Metz
Metz
Marseille
Rennes
Metz
Metz
Bastia
Sochaux
Metz
M Vernice · 76 kamper i vår database
🟥 Red cards: 0,28 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.