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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Paris SG
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: 1–0
| # | Team | K | V | U | T | +/− | xG +/− | P |
|---|---|---|---|---|---|---|---|---|
| 1 |
Paris SG
|
14 | 10 | 3 | 1 | +25 | +14.5 | 33 |
| 2 |
Monaco
|
15 | 9 | 3 | 3 | +11 | +5.1 | 30 |
| 3 |
Nice
|
14 | 8 | 5 | 1 | +9 | +7.7 | 29 |
| 4 |
Lille
|
14 | 7 | 5 | 2 | +8 | +7.0 | 26 |
| 5 |
Lens
|
15 | 6 | 5 | 4 | +4 | +3.2 | 23 |
| 6 |
Reims
|
14 | 7 | 2 | 5 | +1 | +2.1 | 23 |
| 7 |
Brest
|
14 | 6 | 4 | 4 | +3 | +1.3 | 22 |
| 8 |
Marseille
|
14 | 5 | 5 | 4 | +4 | +10.7 | 20 |
| 9 |
Nantes
|
14 | 5 | 3 | 6 | -5 | -5.1 | 18 |
| 10 |
Le Havre
|
14 | 3 | 7 | 4 | -3 | -6.2 | 16 |
| 11 |
Metz
|
14 | 4 | 4 | 6 | -7 | -10.3 | 16 |
| 12 |
Rennes
|
15 | 3 | 6 | 6 | -1 | +4.2 | 15 |
| 13 |
Montpellier
|
15 | 3 | 6 | 6 | -3 | +3.9 | 15 |
| 14 |
Strasbourg
|
14 | 3 | 5 | 6 | -7 | -3.1 | 14 |
| 15 |
Toulouse
|
14 | 2 | 7 | 5 | -4 | -10.1 | 13 |
| 16 |
Lorient
|
14 | 2 | 6 | 6 | -7 | -9.1 | 12 |
| 17 |
Clermont
|
14 | 2 | 4 | 8 | -12 | -8.8 | 10 |
| 18 |
Lyon
|
14 | 1 | 4 | 9 | -16 | -7.0 | 7 |
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.
Arnau Tenas
G
A. Hakimi
D
Marquinhos
D
L. Hernández
D
Carlos Soler
M
Vitinha
M
Lee Kang-In
F
K. Mbappé
F
B. Barcola
F
Coach: Luis Enrique
A. Lafont
G
E. Cömert
D
S. Moutoussamy
M
F. Mollet
M
M. Simon
M
Mostafa Mohamed
F
Coach: J. Gourvennec
Green columns are the outcomes that came in.
Le Havre
Paris SG
Paris SG
Newcastle
Paris SG
Monaco
Reims
Paris SG
Milan
Paris SG
J Brisard · 168 kamper i vår database
🟥 Red cards: 0,30 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.