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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Lyon
Marseille
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 |
Paris SG
|
5 | 4 | 1 | 0 | +13 | +10.2 | 13 |
| 2 |
Monaco
|
5 | 4 | 1 | 0 | +8 | +6.9 | 13 |
| 3 |
Marseille
|
4 | 3 | 1 | 0 | +8 | +1.8 | 10 |
| 4 |
Lens
|
5 | 2 | 3 | 0 | +3 | +3.8 | 9 |
| 5 |
Nantes
|
5 | 2 | 2 | 1 | +3 | +0.4 | 8 |
| 6 |
Reims
|
5 | 2 | 2 | 1 | +0 | -6.0 | 8 |
| 7 |
Nice
|
5 | 2 | 1 | 2 | +8 | +5.7 | 7 |
| 8 |
Rennes
|
5 | 2 | 1 | 2 | +3 | +1.5 | 7 |
| 9 |
Lille
|
5 | 2 | 1 | 2 | +1 | +0.6 | 7 |
| 10 |
Strasbourg
|
5 | 1 | 3 | 1 | +1 | +0.8 | 6 |
| 11 |
Brest
|
5 | 2 | 0 | 3 | -2 | -4.5 | 6 |
| 12 |
Le Havre
|
5 | 2 | 0 | 3 | -3 | -1.7 | 6 |
| 13 |
Toulouse
|
5 | 1 | 2 | 2 | -2 | +4.5 | 5 |
| 14 |
Lyon
|
4 | 1 | 1 | 2 | -4 | -2.5 | 4 |
| 15 |
Montpellier
|
5 | 1 | 1 | 3 | -10 | -3.4 | 4 |
| 16 |
Auxerre
|
5 | 1 | 0 | 4 | -7 | -5.0 | 3 |
| 17 |
St Etienne
|
5 | 1 | 0 | 4 | -14 | -10.1 | 3 |
| 18 |
Angers
|
5 | 0 | 2 | 3 | -6 | -3.1 | 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.
Lucas Perri
G
Clinton Mata
D
D. Ćaleta-Car
D
N. Tagliafico
D
A. Maitland-Niles
M
N. Matić
M
C. Tolisso
M
Abner
M
G. Orban
F
Coach: P. Sage
G. Rulli
G
M. Murillo
D
L. Balerdi
D
G. Kondogbia
D
L. Brassier
D
P. Højbjerg
M
M. Greenwood
M
A. Harit
M
Luis Henrique
M
E. Wahi
F
Coach: R. De Zerbi
Green columns are the outcomes that came in.
Lens
Lyon
Lyon
Strasbourg
Lyon
Monaco
Rennes
Lyon
Lyon
Paris SG
B Bastien · 180 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.