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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Nantes
Montpellier
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: 1–0
| # | Team | K | V | U | T | +/− | xG +/− | P |
|---|---|---|---|---|---|---|---|---|
| 1 |
Nice
|
9 | 5 | 4 | 0 | +6 | +5.4 | 19 |
| 2 |
Paris SG
|
9 | 5 | 3 | 1 | +13 | +12.3 | 18 |
| 3 |
Monaco
|
8 | 5 | 2 | 1 | +10 | +5.3 | 17 |
| 4 |
Brest
|
8 | 4 | 3 | 1 | +2 | +2.2 | 15 |
| 5 |
Reims
|
8 | 4 | 1 | 3 | +3 | +3.1 | 13 |
| 6 |
Lille
|
8 | 3 | 3 | 2 | +1 | +3.4 | 12 |
| 7 |
Marseille
|
9 | 3 | 3 | 3 | +0 | +7.4 | 12 |
| 8 |
Rennes
|
9 | 2 | 5 | 2 | +3 | +4.6 | 11 |
| 9 |
Nantes
|
8 | 3 | 2 | 3 | -1 | -5.5 | 11 |
| 10 |
Toulouse
|
8 | 2 | 4 | 2 | +1 | -7.3 | 10 |
| 11 |
Le Havre
|
9 | 2 | 4 | 3 | -2 | -5.2 | 10 |
| 12 |
Lorient
|
9 | 2 | 4 | 3 | -4 | -6.7 | 10 |
| 13 |
Strasbourg
|
9 | 3 | 1 | 5 | -6 | -3.0 | 10 |
| 14 |
Montpellier
|
7 | 2 | 3 | 2 | +3 | +2.9 | 9 |
| 15 |
Lens
|
9 | 2 | 3 | 4 | -5 | +0.6 | 9 |
| 16 |
Metz
|
8 | 2 | 2 | 4 | -7 | -7.1 | 8 |
| 17 |
Lyon
|
8 | 0 | 3 | 5 | -10 | -8.4 | 3 |
| 18 |
Clermont
|
7 | 0 | 2 | 5 | -7 | -4.0 | 2 |
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.
A. Lafont
G
E. Cömert
D
Q. Merlin
D
S. Moutoussamy
M
Pedro Chirivella
M
F. Mollet
F
M. Abline
F
M. Simon
F
Coach: P. Aristouy
B. Lecomte
G
B. Omeragić
D
J. Chotard
M
Mousa Tamari
M
T. Savanier
M
A. Adams
F
Coach: M. Der Zakarian
Green columns are the outcomes that came in.
Strasbourg
Nantes
Rennes
Nantes
Nantes
Lorient
Clermont
Nantes
Nantes
Marseille
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.